| IBM | 60.0 | 36 | 0 |
| YouGov | 58.3 | 2 | 4 |
| Mintel | 58.3 | 2 | 4 |
| Data Analytics for Machine Learning | 57.1 | 5 | 2 |
| NIQ | 54.0 | 4 | 2 |
| business intelligence | 40.0 | 0 | 4 |
| ORC International | 40.0 | 0 | 4 |
| EMARKETER | 38.8 | 1 | 2 |
| Ipsos MORI | 38.8 | 1 | 2 |
| The Pew Charitable Trusts | 34.5 | 0 | 3 |
| focus group | 34.5 | 0 | 3 |
| InfoZoom | 34.5 | 0 | 3 |
| incompatibility thesis | 34.5 | 0 | 3 |
| Tableau Software, Inc. | 34.5 | 0 | 3 |
| Methods of data collection in qualitative research: interviews and focus groups | 34.5 | 0 | 3 |
| Anthropology and consumer research: qualitative insights into green consumer behavior | 34.5 | 0 | 3 |
| Consumer insights on prepackaged Cheddar cheese shreds using focus groups, conjoint analysis, and qualitative multivariate analysis | 34.5 | 0 | 3 |
| Demystifying Qualitative Research for Musculoskeletal Practitioners Part 4: A Qualitative Researcher's Toolkit—Sampling, Data Collection Methods, and Data Analysis | 34.5 | 0 | 3 |
| Qualitative Research in Social Sciences: Data Collection, Data Analysis, and Report Writing | 34.5 | 0 | 3 |
| Developing Qualitative Research Methodology: Using Focus Groups as a Single Research Method in a Student Motivation Study | 34.5 | 0 | 3 |
| Nielsen Audio | 28.7 | 1 | 1 |
| GfK | 28.7 | 1 | 1 |
| Comscore | 28.7 | 1 | 1 |
| Ipsos | 28.7 | 1 | 1 |
| Analyst's Notebook | 28.7 | 1 | 1 |
| SymphonyIRI Group | 28.7 | 1 | 1 |
| Euromonitor International | 28.7 | 1 | 1 |
| Morning Consult | 28.7 | 1 | 1 |
| Market Research Bureau of Ireland | 28.7 | 1 | 1 |
| Market and Opinion Research International | 28.7 | 1 | 1 |
| GfK (United States) | 28.7 | 1 | 1 |
| Circana | 28.7 | 1 | 1 |
| ethnography | 27.3 | 0 | 2 |
| data warehouse | 27.3 | 0 | 2 |
| survey methodology | 27.3 | 0 | 2 |
| Intertek | 27.3 | 0 | 2 |
| marketing research | 27.3 | 0 | 2 |
| Crystal Reports | 27.3 | 0 | 2 |
| Ifop | 27.3 | 0 | 2 |
| grounded theory | 27.3 | 0 | 2 |
| TNS Infratest | 27.3 | 0 | 2 |
| TIBCO Spotfire Analytics | 27.3 | 0 | 2 |
| data analysis | 27.3 | 0 | 2 |
| Palantir Technologies | 27.3 | 0 | 2 |
| BMRB Ltd | 27.3 | 0 | 2 |
| CinemaScore | 27.3 | 0 | 2 |
| AGB Nielsen Philippines | 27.3 | 0 | 2 |
| Abacus Data | 27.3 | 0 | 2 |
| Afghan Center for Socio-economic and Opinion Research | 27.3 | 0 | 2 |
| ArtTactic | 27.3 | 0 | 2 |
| Kantar Gallup | 27.3 | 0 | 2 |
| Colmar Brunton | 27.3 | 0 | 2 |
| ComRes | 27.3 | 0 | 2 |
| Electronic Entertainment Design and Research | 27.3 | 0 | 2 |
| primary research | 27.3 | 0 | 2 |
| Millward Brown | 27.3 | 0 | 2 |
| National Consumer Panel | 27.3 | 0 | 2 |
| NORC at the University of Chicago | 27.3 | 0 | 2 |
| Online focus group | 27.3 | 0 | 2 |
| Pollara | 27.3 | 0 | 2 |
| structured interview | 27.3 | 0 | 2 |
| IBOPE Intelligence | 27.3 | 0 | 2 |
| Top40-Charts | 27.3 | 0 | 2 |
| Boundless Informant | 27.3 | 0 | 2 |
| Social Science Research | 27.3 | 0 | 2 |
| OnePoll | 27.3 | 0 | 2 |
| visual research | 27.3 | 0 | 2 |
| Research Now | 27.3 | 0 | 2 |
| Vistra | 27.3 | 0 | 2 |
| Ipsos | 27.3 | 0 | 2 |
| market researcher | 27.3 | 0 | 2 |
| Identifying like-minded audiences for global warming public engagement campaigns: an audience segmentation analysis and tool development | 27.3 | 0 | 2 |
| Brazilian Institute of Public Opinion and Statistics | 27.3 | 0 | 2 |
| Data Analytics Library | 27.3 | 0 | 2 |
| Transcript poetry | 27.3 | 0 | 2 |
| Assisted reproductive technology in India: A 3 year retrospective data analysis | 27.3 | 0 | 2 |
| ENT COBRA (Consortium for Brachytherapy Data Analysis): interdisciplinary standardized data collection system for head and neck patients treated with interventional radiotherapy (brachytherapy) | 27.3 | 0 | 2 |
| “Is It Worth Knowing?” Focus Group Participants’ Perceived Utility of Genomic Preconception Carrier Screening | 27.3 | 0 | 2 |
| Interview-based Qualitative Research in Emergency Care Part II: Data Collection, Analysis and Results Reporting | 27.3 | 0 | 2 |
| A knee monitoring device and the preferences of patients living with osteoarthritis: a qualitative study | 27.3 | 0 | 2 |
| Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups | 27.3 | 0 | 2 |
| Grounded theory as a qualitative research methodology | 27.3 | 0 | 2 |
| Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example | 27.3 | 0 | 2 |
| Sample Preparation, Data Collection, and Preliminary Data Analysis in Biomolecular Solution X‐Ray Scattering | 27.3 | 0 | 2 |
| Qualitative research: data analysis techniques | 27.3 | 0 | 2 |
| Mainstreet Research | 27.3 | 0 | 2 |
| WGSN | 27.3 | 0 | 2 |
| The pros and cons of data analysis software for qualitative research. | 27.3 | 0 | 2 |
| Tutorial on technology transfer and survey design and data collection for measuring Internet and Intranet existence, usage, and impact (survey-2000) in acute care hospitals in the United States | 27.3 | 0 | 2 |
| Data analysis strategies for qualitative research | 27.3 | 0 | 2 |
| Data analysis in qualitative research: a plea for sharing the magic and the effort | 27.3 | 0 | 2 |
| Developing accuracy when estimating Global Burden of Disease (GBD) in mental and substance use disorders using complex research methodology, refined data analysis and community participation | 27.3 | 0 | 2 |
| Establishing student competency in qualitative research: can undergraduate nursing students perform qualitative data analysis? | 27.3 | 0 | 2 |
| Data collection could stump next phase of predictive analytics | 27.3 | 0 | 2 |
| PCs or paper-and pencil:online surveys for data collection. | 27.3 | 0 | 2 |
| Data analysis in qualitative research: a brief guide to using nvivo | 27.3 | 0 | 2 |
| Study design in qualitative research--2: Sampling and data collection strategies | 27.3 | 0 | 2 |
| The learning curve: the advantages and disadvantages in the use of focus groups as a method of data collection | 27.3 | 0 | 2 |
| Qualitative Research: Data Collection, Analysis, and Management | 27.3 | 0 | 2 |
| Using qualitative interviews in CAM research: a guide to study design, data collection and data analysis | 27.3 | 0 | 2 |
| Statistical significance approximation in local trend analysis of high-throughput time-series data using the theory of Markov chains | 27.3 | 0 | 2 |
| Exploring the photovoice in an ethnographic research: a strategy for data collection | 27.3 | 0 | 2 |
| Questionnaire design to facilitate water and beverage intake data collection in research studies | 27.3 | 0 | 2 |
| Data collection in clinical-qualitative research: use of non-directed interviews with open-ended questions by health professionals | 27.3 | 0 | 2 |
| Qualitative research proposals--part III: sampling and data collection | 27.3 | 0 | 2 |
| Qualitative research proposals--part V: rigor in data analysis. | 27.3 | 0 | 2 |
| What have sampling and data collection got to do with good qualitative research? | 27.3 | 0 | 2 |
| An analysis of the effectiveness of focus groups as a method of qualitative data collection with Chinese populations in nursing research | 27.3 | 0 | 2 |
| Summary Oral Reflective Analysis: A Method for Interview Data Analysis in Feminist Qualitative Research | 27.3 | 0 | 2 |
| Generating best evidence from qualitative research: the role of data analysis | 27.3 | 0 | 2 |
| Court reporters: a viable solution for the challenges of focus group data collection? | 27.3 | 0 | 2 |
| Endurance of aloneness among Tibetan indigenous women in Western China: application of repeat focus group discussions as a tool for empowerment and for data collection | 27.3 | 0 | 2 |
| Listeria monocytogenes infection in the over-60s in England between 2005 and 2008: a retrospective case-control study utilizing market research panel data | 27.3 | 0 | 2 |
| Qualitative research in nutrition and dietetics: data collection issues | 27.3 | 0 | 2 |
| Qualitative research in nutrition and dietetics: data analysis issues | 27.3 | 0 | 2 |
| Intensive care staff, the donation request and relatives’ satisfaction with the decision: a focus group study | 27.3 | 0 | 2 |
| Responsive survey design, demographic data collection, and models of demographic behavior | 27.3 | 0 | 2 |
| How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews | 27.3 | 0 | 2 |
| Medication safety: using incident data analysis and clinical focus groups to inform educational needs | 27.3 | 0 | 2 |
| Story-sharing as a method of data collection in qualitative research. | 27.3 | 0 | 2 |
| Criteria for quantitative and qualitative data integration: mixed-methods research methodology | 27.3 | 0 | 2 |
| Adolescents and alcohol: an explorative audience segmentation analysis | 27.3 | 0 | 2 |
| Using focus groups in the consumer research phase of a social marketing program to promote moderate-intensity physical activity and walking trail use in Sumter County, South Carolina | 27.3 | 0 | 2 |
| Writing the proposal for a qualitative research methodology project | 27.3 | 0 | 2 |
| Barriers to Improving Patient Safety in India: Focus Groups with Providers in the Southern State of Kerala | 27.3 | 0 | 2 |
| Focus Groups Move Online: Feasibility of Tumblr Use for eHealth Curriculum Development | 27.3 | 0 | 2 |
| Health sciences journals: an overview of outputs by Chinese authors | 27.3 | 0 | 2 |
| Socianalytical device: intervention instrument and data collection in qualitative research in nursing | 27.3 | 0 | 2 |
| Addressing the Vaccine Hesitancy Continuum: An Audience Segmentation Analysis of American Adults Who Did Not Receive the 2009 H1N1 Vaccine | 27.3 | 0 | 2 |
| Application of Haddon's matrix in qualitative research methodology: an experience in burns epidemiology | 27.3 | 0 | 2 |
| Focus Group Interview in Family Practice Research: Implementing a qualitative research method. | 27.3 | 0 | 2 |
| Factors influencing work functioning after cancer diagnosis: a focus group study with cancer survivors and occupational health professionals | 27.3 | 0 | 2 |
| Laboratory data analysis system. V. Trend analysis | 27.3 | 0 | 2 |
| Data collection and questionnaire design: smoking cessation in adults. | 27.3 | 0 | 2 |
| Research methodology: sampling and data collection. | 27.3 | 0 | 2 |
| Stopped-flow solution scattering using synchrotron radiation: apparatus, data collection and data analysis | 27.3 | 0 | 2 |
| Classification, a suitable method for nursing research--practical advice for data collection and data analysis | 27.3 | 0 | 2 |
| Exploratory data analysis: data visualization or torture? | 27.3 | 0 | 2 |
| Qualitative Research: Introducing focus groups | 27.3 | 0 | 2 |
| The qualitative research methodology | 27.3 | 0 | 2 |
| Using focus groups to design a psychoeducation program for patients with schizophrenia and their family members | 27.3 | 0 | 2 |
| Evaluating a web-based health risk assessment with tailored feedback: what does an expert focus group yield compared to a web-based end-user survey? | 27.3 | 0 | 2 |
| Methodological Aspects of Focus Groups in Health Research: Results of Qualitative Interviews With Focus Group Moderators | 27.3 | 0 | 2 |
| Qualitative research methodology: A critical review of its application to adolescents | 27.3 | 0 | 2 |
| Research report appraisal: how much understanding is enough? | 27.3 | 0 | 2 |
| "Focus groups can be fun": the use of activity-oriented questions in focus group discussions | 27.3 | 0 | 2 |
| Action research methodology in the health care field: a scoping review protocol | 27.3 | 0 | 2 |
| Exploring charge density analysis in crystals at high pressure: data collection, data analysis and advanced modelling | 27.3 | 0 | 2 |
| Qualitative Research in theCJA/RCV:An 18-Year Analysis (1995–2012) | 27.3 | 0 | 2 |
| Focus group on qualitative research: experience report | 27.3 | 0 | 2 |
| Mixed Methods in Prostate Cancer Prevention and Service Utilization Planning: Combining Focus Groups, Survey Research, and Community Engagement. | 27.3 | 0 | 2 |
| Exploring Somali women’s reproductive health knowledge and experiences: results from focus group discussions in Mogadishu | 27.3 | 0 | 2 |
| Could Ethical Tensions in Oral Healthcare Management Revealed by Adults with Intellectual Disabilities and Caregivers Explain Unmet Oral Health Needs? Participatory Research with Focus Groups | 27.3 | 0 | 2 |
| Selection of population controls for aSalmonellacase-control study in the UK using a market research panel and web-survey provides time and resource savings | 27.3 | 0 | 2 |
| Researching the psychological therapies in prison: considerations and future recommendations | 27.3 | 0 | 2 |
| Who Avoids Going to the Doctor and Why? Audience Segmentation Analysis for Application of Message Development | 27.3 | 0 | 2 |
| Qualitative research-enhanced understanding of patients' beliefs: Results of focus groups with low-income, urban, African American adults with asthma | 27.3 | 0 | 2 |
| Focus groups: a qualitative method complementing quantitative research for studying culturally diverse groups | 27.3 | 0 | 2 |
| Assertive community treatment (ACT) case managers’ professional identities: A focus group study | 27.3 | 0 | 2 |
| Women in academic medicine: a report of focus groups and questionnaires, with conjoint analysis | 27.3 | 0 | 2 |
| Statistical comparison of dissolution profiles | 27.3 | 0 | 2 |
| Participants’ views of telephone interviews within a grounded theory study | 27.3 | 0 | 2 |
| Enabling resources in people with dementia: a qualitative study about nurses’ strategies that may support a sense of coherence in people with dementia | 27.3 | 0 | 2 |
| Salted and preserved duck eggs: a consumer market segmentation analysis | 27.3 | 0 | 2 |
| Surveys and questionnaires in nursing research | 27.3 | 0 | 2 |
| Experiences of Life and Work of a Group of Epidemiologists in Training in Order to Address Mental Health Problems and Issues at Local and Departmental Level. Medellin, 2013 | 27.3 | 0 | 2 |
| The nurse researcher: an added dimension to qualitative research methodology | 27.3 | 0 | 2 |
| Stages in the research process | 27.3 | 0 | 2 |
| Looking beyond satisfaction: evaluating the value and impact of information skills training | 27.3 | 0 | 2 |
| Exploring Precarious Employment and Women's Health within the Context of U.S. Microenterprise Using Focus Groups | 27.3 | 0 | 2 |
| Health lifestyles: audience segmentation analysis for public health interventions | 27.3 | 0 | 2 |
| Data analysis in health-related qualitative research. | 27.3 | 0 | 2 |
| Qualitative research: an additional research methodology for speech pathology? | 27.3 | 0 | 2 |
| Focus groups--presentation of a qualitative research method | 27.3 | 0 | 2 |
| Commentary on Cleary, M., Horsfall, J. and Hayter, M. (2014), Data collection and sampling in qualitative research: does size matter? Journal of Advanced Nursing, 70:473-475. | 27.3 | 0 | 2 |
| Experience of knowledge and skills that are essential in self‐managing a chronic condition – a focus group study among people with type 2 diabetes | 27.3 | 0 | 2 |
| Knowledge is advantage. Using market research for competitive intelligence. | 27.3 | 0 | 2 |
| Qualitative research methodology in the exploration of patients' perceptions of participating in a genetic research program | 27.3 | 0 | 2 |
| Data collection and sampling in qualitative research: does size matter? | 27.3 | 0 | 2 |
| Ethnographic research: a qualitative research approach to study of the interdisciplinary team | 27.3 | 0 | 2 |
| Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis. | 27.3 | 0 | 2 |
| The use of Facebook for virtual asynchronous focus groups in qualitative research | 27.3 | 0 | 2 |
| Integration of Service Learning Into a Doctoral-Level Qualitative Research Methodology Course | 27.3 | 0 | 2 |
| Utilizing Actionable Data Analytics to Support Patient Navigation Enrollment and Retention Within Federally Qualified Health Centers | 27.3 | 0 | 2 |
| Online market research panel members as controls in case-control studies to investigate gastrointestinal disease outbreaks: early experiences and lessons learnt from the UK. | 27.3 | 0 | 2 |
| Qualitative Assessment of Learning Strategies among Medical Students Using Focus Group Discussions and In-depth Interviews | 27.3 | 0 | 2 |
| Feeding back survey research findings within palliative care. Findings from qualitative research | 27.3 | 0 | 2 |
| Barriers and Facilitators for the Practice of Physical Exercise in Patients With Spondyloarthritis: Qualitative Study of Focus Groups (EJES-3D) | 27.3 | 0 | 2 |
| The power of words: Is qualitative research as important as quantitative research in the study of autism? | 27.3 | 0 | 2 |
| Prospect Research | 27.3 | 0 | 2 |
| Making patient and public involvement in cancer and palliative research a reality: academic support is vital for success | 27.3 | 0 | 2 |
| Actionable Data Analytics in Oncology: Are We There Yet? | 27.3 | 0 | 2 |
| Qualitative exploration of rural focus group members' participation in the Chronic Disease Self-Management Program, USA | 27.3 | 0 | 2 |
| Functional dyspepsia: outcome of focus groups for the development of a questionnaire for symptom assessment in patients suffering from postprandial distress syndrome (PDS) | 27.3 | 0 | 2 |
| Focus Groups and In-depth Interviews to Guide the Development of Lung Cancer Screening Informational Materials | 27.3 | 0 | 2 |
| Qualitative research methodology | 27.3 | 0 | 2 |
| Pertinence of qualitative research: comparative approach in qualitative and quantitative research | 27.3 | 0 | 2 |
| Mixed approaches in nursing science | 27.3 | 0 | 2 |
| Big data analytics for disaster response and recovery through sentiment analysis | 27.3 | 0 | 2 |
| Sharpening the focus: differentiating between focus groups for patient engagement vs. qualitative research. | 27.3 | 0 | 2 |
| Kantar TNS | 27.3 | 0 | 2 |
| Data collection — questionnaire design | 27.3 | 0 | 2 |
| An evaluation tool to assess the quality of qualitative research studies | 27.3 | 0 | 2 |
| Interviews and focus groups in qualitative research: an update for the digital age | 27.3 | 0 | 2 |
| Data Visualization | 27.3 | 0 | 2 |
| The use of IRAMUTEQ software for data analysis in qualitative research | 27.3 | 0 | 2 |
| Section A.1. Data Science, Big Data Analytics, Data Visualization, Geographic Information Systems and Statistical Inference to Support Decision-Making | 27.3 | 0 | 2 |
| Data Visualization and Statistical Graphics in Big Data Analysis | 27.3 | 0 | 2 |
| GGobi: evolving from XGobi into an extensible framework for interactive data visualization | 27.3 | 0 | 2 |
| Big data analytics and demand forecasting in supply chains: a conceptual analysis | 27.3 | 0 | 2 |
| Advancing Complexity Theory as a Qualitative Research Methodology | 27.3 | 0 | 2 |
| Online focus groups and qualitative research in the social sciences: their merits and limitations in a study of housing and youth | 27.3 | 0 | 2 |
| Reflexivity and beyond – a plea for imagination in qualitative research methodology | 27.3 | 0 | 2 |
| Kantar TNS AS | 27.3 | 0 | 2 |
| Kantar TNS Oy | 27.3 | 0 | 2 |
| A Comparison of Focus Group Interviews to In-Depth Interviews in Determining Food Choice Influences | 27.3 | 0 | 2 |
| Focus Groups and Usability Testing in Redesigning an Academic Library's Web Site | 27.3 | 0 | 2 |
| A systematic review of the clinical application of data-driven population segmentation analysis | 27.3 | 0 | 2 |
| Ship efficiency forecast based on sensors data collection: Improving numerical models through data analytics | 27.3 | 0 | 2 |
| Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration | 27.3 | 0 | 2 |
| Demand Forecasting Models for Medicines through Wireless Sensor Networks Data and Topic Trend Analysis | 27.3 | 0 | 2 |
| “Cargo Cult” science in traditional organization and information systems survey research: A case for using nontraditional methods of data collection, including Mechanical Turk and online panels | 27.3 | 0 | 2 |
| The market trend analysis and prospects of scaffolds for stem cells | 27.3 | 0 | 2 |
| Reflections on the Value of Insider Research as a Qualitative Research Methodology | 27.3 | 0 | 2 |
| Review of business intelligence through data analysis | 27.3 | 0 | 2 |
| Expressive modeling for trusted big data analytics: techniques and applications in sentiment analysis | 27.3 | 0 | 2 |
| Focus Group Interviews: A qualitative research approach for nursing | 27.3 | 0 | 2 |
| Planning and Recruiting the Sample for Focus Groups and In-Depth Interviews | 27.3 | 0 | 2 |
| Automated data collection and real-time data analysis suite for serial synchrotron crystallography | 27.3 | 0 | 2 |
| PSY59 USING PATIENT FOCUS GROUPS TO INFORM ECONOMIC MODELING: EXPERIENCE FROM A HEMOPHILIA PATIENT FOCUS GROUP | 27.3 | 0 | 2 |
| Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery | 27.3 | 0 | 2 |
| Parkdale Infant Nutrition Security Targeted Evaluation Project: Focus Groups & Interviews | 27.3 | 0 | 2 |
| The age of data analytics: converting biomedical data into actionable insights | 27.3 | 0 | 2 |
| Digital education governance: data visualization, predictive analytics, and ‘real-time’ policy instruments | 27.3 | 0 | 2 |
| VALS | 27.3 | 0 | 2 |
| Conjoint Analysis in Consumer Research | 27.3 | 0 | 2 |
| Selection of research methodology. Qualitative vs. quantitative research or qualitative and quantitative research? | 27.3 | 0 | 2 |
| Focus group and survey research on family planning in Mexico | 27.3 | 0 | 2 |
| A critique of focus group and survey research: the machismo case | 27.3 | 0 | 2 |
| Using survey research methodology: an examination of one project | 27.3 | 0 | 2 |
| Focus group interview as a qualitative research method | 27.3 | 0 | 2 |
| Qualitative research in nursing. 2. Varieties and types of qualitative methodologies | 27.3 | 0 | 2 |
| Qualitative research and focus group methodology | 27.3 | 0 | 2 |
| The focus group as a qualitative research technic in health: its design and practical application | 27.3 | 0 | 2 |
| Small rural hospitals: an example of market segmentation analysis | 27.3 | 0 | 2 |
| Focus groups: market research on a budget | 27.3 | 0 | 2 |
| Questionnaire design workshop helps market researchers build better surveys | 27.3 | 0 | 2 |
| Changing the Lens: A Position Paper on the Value of Qualitative Research Methodology as a Mode of Inquiry in the Education of the Deaf | 27.3 | 0 | 2 |
| Focus groups for qualitative research | 27.3 | 0 | 2 |
| A market research methodology to assess the feasibility of a hospital-offered Medicare supplement insurance plan | 27.3 | 0 | 2 |
| Basics of research (Part 14). Survey research methodology: designing the survey instrument | 27.3 | 0 | 2 |
| Manufacturing individual opinions: market research focus groups and the discursive psychology of evaluation | 27.3 | 0 | 2 |
| Beyond surveys and focus groups: usability testing can help you hone your Web site design | 27.3 | 0 | 2 |
| Using focus groups to improve the validity of cross-national survey research: a study of physician decision making | 27.3 | 0 | 2 |
| Qualitative research is not a modification of quantitative research | 27.3 | 0 | 2 |
| Qualitative research: an introduction to focus group methodology and its application | 27.3 | 0 | 2 |
| Qualitative research methodology | 27.3 | 0 | 2 |
| Qualitative research in anesthesiology: perception of quality studied by means of a focus group | 27.3 | 0 | 2 |
| Use of the qualitative research methodology in assessing impact of the interventions aiming to improve health and quality of life in the community | 27.3 | 0 | 2 |
| Lessons Learned Using Web Conference Technology for Online Focus Group Interviews | 27.3 | 0 | 2 |
| The Contested Terrain of Focus Groups, Lived Experience, and Qualitative Research Traditions | 27.3 | 0 | 2 |
| Leadership Experience of Clinical Nurses: Applying Focus Group Interviews | 27.3 | 0 | 2 |
| The BMJshould not narrowly confine publication to positivist quantitative studies | 27.3 | 0 | 2 |
| What Value Can Qualitative Research Add to Quantitative Research Design? An Example From an Adolescent Idiopathic Scoliosis Trial Feasibility Study | 27.3 | 0 | 2 |
| [Qualitative research methodology in health care] | 27.3 | 0 | 2 |
| Data collection in qualitative research | 27.3 | 0 | 2 |
| Focus groups as a method of data collection verification in ergonomic hazard identification among highway construction workers | 27.3 | 0 | 2 |
| Online market research panel members as controls in case-control studies to investigate gastrointestinal disease outbreaks: early experiences and lessons learnt from the UK - ERRATUM | 27.3 | 0 | 2 |
| Can Online Communities of Practice Improve Participation Rates of Physicians in Survey Research? | 27.3 | 0 | 2 |
| Do purchases of price promoted and generic branded foods and beverages vary according to food category and income level? Evidence from a consumer research panel | 27.3 | 0 | 2 |
| To P or not to P, is that the question? Rethinking experimental design and data analysis to improve biological significance beyond the statistical significance | 27.3 | 0 | 2 |
| Debrief Reports to Expedite the Impact of Qualitative Research: Do They Accurately Capture Data from In-depth Interviews? | 27.3 | 0 | 2 |
| [Correction: DNVF-Memorandum III - Methods for Health Services Research, Part 4 - Concept and Methods for Organizational Health Services Research. Chapter 2 - Methodological Approaches for Organizational Health Services Research: Measures, Data Sour | 27.3 | 0 | 2 |
| Qualitative research: An overview of emerging approaches for data collection | 27.3 | 0 | 2 |
| Marketing challenges in the #MeToo era: gaining business insights using an exploratory sentiment analysis | 27.3 | 0 | 2 |
| Knowledge Elicitation of Homecare Admission Decision Making Processes via Focus Group, Member Checking and Data Visualization | 27.3 | 0 | 2 |
| Data Analysis Software in Qualitative Research: Preconceptions, Expectations, and Adoption | 27.3 | 0 | 2 |
| PROM Validation Using Paper-Based or Online Surveys: Data Collection Methods Affect the Sociodemographic and Health Profile of the Sample | 27.3 | 0 | 2 |
| The Importance of Data Analytics and Business Intelligence for Radiologists | 27.3 | 0 | 2 |
| [DNVF-Memorandum III - Methods for Health Services Research, Part 4 - Concept and Methods for Organizational Health Services Research. Chapter 2 - Methodological Approaches for Organizational Health Services Research: Measures, Data Sources, Data Co | 27.3 | 0 | 2 |
| Orly Alter | 27.3 | 0 | 2 |
| SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology: The first step towards interdisciplinary standardized data collection for personalized oncology in skin cancer | 27.3 | 0 | 2 |
| Call for Special Issue Papers: Internet of Things Data Visualization for Business Intelligence | 27.3 | 0 | 2 |
| Strategies to Enhance Data Collection and Analysis in Qualitative Research | 27.3 | 0 | 2 |
| Online data collection strategies used in qualitative research of the health field: a scoping review | 27.3 | 0 | 2 |
| Call for Special Issue Papers: Internet of Things Data Visualization for Business Intelligence | 27.3 | 0 | 2 |
| Points of contention: Qualitative research identifying where researchers and research ethics committees disagree about consent waivers for secondary research with tissue and data | 27.3 | 0 | 2 |
| Research Participants' Perspectives on Using an Electronic Portal for Engagement and Data Collection: Focus Group Results From a Large Epidemiologic Cohort | 27.3 | 0 | 2 |
| Implementation of virtual focus groups for qualitative data collection in a global pandemic | 27.3 | 0 | 2 |
| Call for Special Issue Papers: Internet of Things Data Visualization for Business Intelligence | 27.3 | 0 | 2 |
| Impact of COVID 19 on psychosocial functioning of peripartum women: A qualitative study comprising focus group discussions and in-depth interviews | 27.3 | 0 | 2 |
| [Determining factors in the use of respite services by caregivers of patients with dementia: Qualitative research using focus groups] | 27.3 | 0 | 2 |
| Q104514570 | 27.3 | 0 | 2 |
| FreeQDA | 27.3 | 0 | 2 |
| Learning IPython for interactive computing and data visualization: get started with Python for data analysis and numerical computing in the Jupyter notebook | 27.3 | 0 | 2 |
| Practical data analysis using Jupyter notebook learn how to speak the language of data by extracting useful and actionable insights using Python | 27.3 | 0 | 2 |
| Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks | 27.3 | 0 | 2 |
| Consline Intelligence Management System | 27.3 | 0 | 2 |
| Mind games: A temporal sentiment analysis of the political messages of the Internet Research Agency on Facebook and Twitter | 27.3 | 0 | 2 |
| System1 | 27.3 | 0 | 2 |
| Cross Validated | 27.3 | 0 | 2 |
| Focus groups in qualitative research: culturally sensitive methodology for the Arabian Gulf? | 27.3 | 0 | 2 |
| Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting | 27.3 | 0 | 2 |
| Introducing computer‐assisted qualitative data analysis software within graduate level qualitative research courses: reflections of a first‐time user<sup>1</sup> | 27.3 | 0 | 2 |
| Quantitative market analysis of the European Climate Services sector – The application of the kMatrix big data market analytical tool to provide robust market intelligence | 27.3 | 0 | 2 |
| The Ethos of Citation in Qualitative Research Methodology | 27.3 | 0 | 2 |
| Data Analysis and Data Visualization using Python | 27.3 | 0 | 2 |
| Improving Interview Method and Questionnaire Design: Response Effects to Threatening Questions in Survey Research. | 27.3 | 0 | 2 |
| Qualitative Research Methodology in Healthcare Workshop | 27.3 | 0 | 2 |
| Data collection in clinical-qualitative research: use of non-directed interviews with open-ended questions by health professionals | 27.3 | 0 | 2 |
| Brand connection and entry in the shopping mall ecological chain: Evidence from consumer behavior big data analysis based on two-sided markets | 27.3 | 0 | 2 |
| Data Analysis of the Cytokine Adsorption Treatment on Coronavirus Disease-19 (COVID-19) Patients With Respiratory Failure | 27.3 | 0 | 2 |
| Trend Analysis of Physical Activity Measurement Research Using Text Mining in Big Data Analytics | 27.3 | 0 | 2 |
| Adapting Data Collection Tools for Qualitative Research in Times of COVID-19 Pandemic | 27.3 | 0 | 2 |
| Photographic Documentation as a Mode of Data Collection in Qualitative Research: A Case of Pilot Testing in Linguistic Landscape | 27.3 | 0 | 2 |
| A Qualitative Research for Clarifying Social Phenomena of Taekwondo Poomsae in Competition -Applying Big Data Analysis and in-depth interview method on 2018 Jakarta-Palembang Asian Games- | 27.3 | 0 | 2 |
| ONLINE DATA COLLECTION AS ADAPTATION IN CONDUCTING QUANTITATIVE AND QUALITATIVE RESEARCH DURING THE COVID-19 PANDEMIC | 27.3 | 0 | 2 |
| Fusing Approaches in Educational Research: Data Collection and Data Analysis in Phenomenological Research | 27.3 | 0 | 2 |
| Data collection process in qualitative research: Challenges and potential solutions | 27.3 | 0 | 2 |
| Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis | 27.3 | 0 | 2 |
| Understanding Data Collection Methods in Qualitative Research: The Perspective Of Interpretive Accounting Research | 27.3 | 0 | 2 |
| Justification for Adopting Qualitative Research Method, Research Approaches, Sampling Strategy, Sample Size, Interview Method, Saturation, and Data Analysis | 27.3 | 0 | 2 |
| DATA COLLECTION BY ONLINE IN-DEPTH INTERVIEW IN QUALITATIVE RESEARCH: A POSTGRADUATE THESIS EXAMPLE | 27.3 | 0 | 2 |
| Data Analysis In Social Sciences: Comparison between Quantitative and Qualitative Research | 27.3 | 0 | 2 |
| Use of Video Conferencing to Facilitate Focus Groups for Qualitative Data Collection | 27.3 | 0 | 2 |
| Bringing method to the madness: An example of integrating social science qualitative research methods into NVivo data analysis software training | 27.3 | 0 | 2 |
| Life Hacks, How Tos, and Guides in the Qualitative Research Data Collection Tutorial | 27.3 | 0 | 2 |
| Online focus group discussions: An attractive approach to data collection for qualitative health research | 27.3 | 0 | 2 |
| Qualitative research data collection in the context of the new coronavirus pandemic | 27.3 | 0 | 2 |
| Using theory and reflexivity to preserve methodological rigour of data collection in qualitative research | 27.3 | 0 | 2 |
| The Qualitative Research Distress Protocol: A Participant-Centered Tool for Navigating Distress During Data Collection | 27.3 | 0 | 2 |
| Using WhatsApp Focus Group Discussions for Qualitative Data Collection: Exploring Knowledge, Attitudes, and Perceptions of COVID-19 in Singapore | 27.3 | 0 | 2 |
| Capturing Stories of How Young Adults Experience Entry Into the Workforce: A Qualitative Research Protocol on Data Collection During the Ongoing Coronavirus Pandemic | 27.3 | 0 | 2 |
| Transcription as a Key Phase of Data Analysis in Qualitative Research: Experience from KwaZulu-Natal, South Africa | 27.3 | 0 | 2 |
| In the room where it happens: in-person or remote data collection in qualitative research? | 27.3 | 0 | 2 |
| A critical analysis of: Qualitative methodologies and data collection methods: Toward increased rigour in management research | 27.3 | 0 | 2 |
| Innovative qualitative research data collection and analysis activities that engage nursing students | 27.3 | 0 | 2 |
| Predictive analytics for demand forecasting: A deep learning-based decision support system | 27.3 | 0 | 2 |
| Creation and Implementation of a Structured Outreach Program to Address Unmet Psychosocial, Financial and Emotional Needs of Related Stem Cell Donors Utilizing Data Analysis from a Qualitative Research Study | 27.3 | 0 | 2 |
| Research Fundamentals: Data Collection, Data Analysis, and Ethics | 27.3 | 0 | 2 |
| A Novel Sentiment Analysis Model of Museum User Experience Evaluation Data Based on Unbalanced Data Analysis Technology | 27.3 | 0 | 2 |
| Internet Data Analysis Methodology for Cyberterrorism Vocabulary Detection, Combining Techniques of Big Data Analytics, NLP and Semantic Web | 27.3 | 0 | 2 |
| Sentiment Analysis of Expedition Customer Satisfaction using BiGRU and BiLSTM | 27.3 | 0 | 2 |
| Cloud-Based Sentiment Analysis for Measuring Customer Satisfaction in the Moroccan Banking Sector Using Na?ve Bayes and Stanford NLP | 27.3 | 0 | 2 |
| Bridging the gap within text-data analytics: a computer environment for data analysis in linguistic research | 27.3 | 0 | 2 |
| Security Data Collection and Data Analytics in the Internet: A Survey | 27.3 | 0 | 2 |
| The ethics of studying online communities: Challenges to research design and data collection | 27.3 | 0 | 2 |
| Competitive intelligence empirical construct validation using expert in-depth interviews study | 27.3 | 0 | 2 |
| Survey Research Center | 27.3 | 0 | 2 |
| Centre for Research on Culture and Gender / University of Ghent | 27.3 | 0 | 2 |
| Conducting Rigorous Qualitative Research by Using a Structured Data Analysis Method:Review of the Forum on Case-based and Qualitative Research in Business Administration in China (2019) | 27.3 | 0 | 2 |
| Based on the Sentiment Analysis of Reviews Data Research to the Influential Factors of Customer Satisfaction | 27.3 | 0 | 2 |
| The Use and Development of In-depth Interviews in Ethnographic Research | 27.3 | 0 | 2 |
| Model localization for data analytics and business intelligence | 27.3 | 0 | 2 |
| Development of Domestic Web Survey Research: a Bibliometrics Based Quantitative Research | 27.3 | 0 | 2 |
| Measurement of E-commerce Customer Satisfaction Based on Sentiment Analysis and VIKOR | 27.3 | 0 | 2 |
| Mining Comparative Opinions for Competitive Analysis by Sentiment Analysis:Evidence from Online Restaurant Reviews | 27.3 | 0 | 2 |
| Application of Data Visualization Technology in Military Data Analysis | 27.3 | 0 | 2 |
| Quantitative Research of the Articles on Enterprise Competitive Intelligence Field from 1989 to 2005 in China | 27.3 | 0 | 2 |
| Quantitative Research of the Articles on Competitive Intelligence Field from 1989 to 2010 in China | 27.3 | 0 | 2 |
| Journal of Data Analytics | 27.3 | 0 | 2 |
| Differences and Integration Between Big Data Analytics and Quantitative Research——Future Direction of Educational Quantitative Research | 27.3 | 0 | 2 |
| market research institute | 27.3 | 0 | 2 |
| Standards and Classical Techniques in Data Analysis of Customer Satisfaction Surveys | 27.3 | 0 | 2 |
| Model of Market Segmentation Based on Consumer Behavior:The Mobile Communication Industry Perspective | 27.3 | 0 | 2 |
| Market Segmentation Analysis of the Refrigerator Market of the Towns and Cities in Guangxi Theory and Practice | 27.3 | 0 | 2 |
| Exploratory Data Analysis and Data Visualization on Meteorite Landings on Earth Using Python | 27.3 | 0 | 2 |
| Developing Novel Hypotheses Based on Unexpected Research Results -- A Review of Data Analysis in Qualitative Research: Theorizing with Abductive Analysis | 27.3 | 0 | 2 |
| Business Intelligence (BI) in Firm Performance: Role of Big Data Analytics and Blockchain Technology | 27.3 | 0 | 2 |
| Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions | 27.3 | 0 | 2 |
| The New Frontier in Qualitative Research Methodology | 27.3 | 0 | 2 |
| Enhancing Minority Sentiment Classification in Gastronomy Tourism: A Hybrid Sentiment Analysis Framework with Data Augmentation, Feature Engineering and Business Intelligence | 27.3 | 0 | 2 |
| Predictive Analytics intelligent decision-making framework and testing it through sentiment analysis on Twitter data | 27.3 | 0 | 2 |
| Business intelligence in wearable health: transforming smartwatch data into actionable insights | 27.3 | 0 | 2 |
| Fashion Market Analysis and Consumer Research for Expansion of Korean Wave Fashion into the Singapore Market | 27.3 | 0 | 2 |
| A Study of College students's Consumer Behavior of the Midwest(Yunnam) in China(Part II): The Consumer's Traits of Market Segmentation Based on the Apparel Benefits | 27.3 | 0 | 2 |
| Book Review: The 7 steps of data analysis: A manual for conducting a quantitative research study | 27.3 | 0 | 2 |
| The Continuous Consumer Panel: A New Sampling Device in Consumer Research | 27.3 | 0 | 2 |
| Depending on Context: Counterintuitive Uses of Focus Groups in Mixed-Method Ethnographic Research | 27.3 | 0 | 2 |
| Market Segmentation Analysis and Visualization using K-Mode Clustering Algorithm for E-Commerce Business | 27.3 | 0 | 2 |
| Integration, assimilation or transformation: Introducing therapists to qualitative research methods, a focus group study | 27.3 | 0 | 2 |
| Data visualization for assessing the biofuel commercialization potential within the business intelligence framework | 27.3 | 0 | 2 |
| Innovative Data Collection Strategies in Qualitative Research | 27.3 | 0 | 2 |
| Mobile Market Research Applications as a New Voice of Customer Method | 27.3 | 0 | 2 |
| Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes | 27.3 | 0 | 2 |
| Social Media Big Data Analytics for Demand Forecasting | 27.3 | 0 | 2 |
| Improving the stability of market segmentation analysis | 27.3 | 0 | 2 |
| Integrating Theory, Measurement and Data Analysis in Family Studies Survey Research | 27.3 | 0 | 2 |
| Special issue on cognitive big data analytics for business intelligence applications: Towards performance improvement | 27.3 | 0 | 2 |
| A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making | 27.3 | 0 | 2 |
| Road Accidents Detection, Data Collection and Data Analysis Using V2X Communication and Edge/Cloud Computing | 27.3 | 0 | 2 |
| Automated Modular Data Analysis and Visualization System with Predictive Analytics Using Machine Learning for Agriculture field | 27.3 | 0 | 2 |
| A model-driven approach to automate data visualization in big data analytics | 27.3 | 0 | 2 |
| A Discursive Data Analysis Method with the Soul and Philosophy of Quantitative Research | 27.3 | 0 | 2 |
| Business intelligence analytics using sentiment analysis-a survey | 27.3 | 0 | 2 |
| A Novel Framework for Big Data Analytics in Business Intelligence | 27.3 | 0 | 2 |
| Why deservingness theory needs qualitative research: Comparing focus group discussions on social welfare in three welfare regimes | 27.3 | 0 | 2 |
| Data Collection in Cross-cultural Ethnographic Research | 27.3 | 0 | 2 |
| Data analysis as a digital competence for information technology professionals: implementation and use of business intelligence | 27.3 | 0 | 2 |
| Integrating AI Language Models in Qualitative Research: Replicating Interview Data Analysis with ChatGPT | 27.3 | 0 | 2 |
| Book Reviews: An Introduction to Survey Research, Polling, and Data Analysis, Third Edition | 27.3 | 0 | 2 |
| Understanding consumer's perception and acceptance of bologna sausages with reduced sodium content and/or omega‐3 addition through conjoint analysis and focus group | 27.3 | 0 | 2 |
| Market segmentation analysis according to different golf mania level : differences of golf course selection attributes and satisfaction | 27.3 | 0 | 2 |
| THE IMPACT OF BUSINESS INTELLIGENCE AND COMPETITIVE INTELLIGENCE IN MANAGEMENT: A BIBLIOMETRIC ANALYSIS | 27.3 | 0 | 2 |
| DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCE | 27.3 | 0 | 2 |
| Focus Groups Use as a Qualitative Research Method in Child and Adolescent Population | 27.3 | 0 | 2 |
| Good and bad market research: A critical review of Net Promoter Score | 27.3 | 0 | 2 |
| A Digital Approach: A Trend Analysis in Data Collection and Challenges in ITO Industry | 27.3 | 0 | 2 |
| Understanding Barriers to Compliance to Food Safety Standards in the Catering Establishments Using a Qualitative Research Method: Focus Group Discussion | 27.3 | 0 | 2 |
| Producing consumers: market researchers’ selection and conception of focus group participants | 27.3 | 0 | 2 |
| Using Market Segmentation Analysis to Identify Consumer Preferences for Fresh Peach Attributes | 27.3 | 0 | 2 |
| Evolving Business Intelligence and Data Analytics in Higher Education | 27.3 | 0 | 2 |
| Profit-Oriented Data Analysis for Market Segmentation: An Alternative to AID | 27.3 | 0 | 2 |
| Consumer Research: How valid and useful are all our consumer behavior research findings? | 27.3 | 0 | 2 |
| Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction | 27.3 | 0 | 2 |
| Mapping the Landscape of Data Collection: A Reflection on the Dynamics of Fieldwork in Qualitative Research | 27.3 | 0 | 2 |
| Qualitative research: deductive and inductive approaches to data analysis | 27.3 | 0 | 2 |
| Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization, Security and Privacy in 6G Networks | 27.3 | 0 | 2 |
| Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics | 27.3 | 0 | 2 |
| Big Data Analytics for Data Visualization: Review of Techniques | 27.3 | 0 | 2 |
| Customer satisfaction in mountain hotels within UNESCO Global Geoparks: an empirical study based on sentiment analysis of online consumer reviews | 27.3 | 0 | 2 |
| A Study on the Classification and Trend Analysis of Quality Attributes of Air Purifiers : Based on Kano’s Model, Which Uses Timko’s Customer Satisfaction | 27.3 | 0 | 2 |
| Literature review of Applications of Business Intelligence, Business Analytics and Competitive Intelligence | 27.3 | 0 | 2 |
| A comparison of data collection methods: Mail versus online surveys | 27.3 | 0 | 2 |
| Integrating and Consolidating Data in Mixed Methods Data Analysis: Examples From Focus Group Data With Children | 27.3 | 0 | 2 |
| An Enhanced Approach for Using Data Visualization for Sentiment Analysis and Auto Summarization Data | 27.3 | 0 | 2 |
| Factor Data Analysis and econophysics: application in market segmentation | 27.3 | 0 | 2 |
| A FOCUS GROUP STUDY ON THE INVESTIGATION OF THE RELATIONSHIP BETWEEN THE PRODUCT INNOVATION AND BRAND PERCEPTION OF THE EMPLOYEES. | 27.3 | 0 | 2 |
| Driving Business Success: Exploring the Implementation and Improvement of Big Data Analysis and Business Intelligence in Selected Companies in Zheijiang, China | 27.3 | 0 | 2 |
| Consumer behavior prediction and marketing strategy optimization based on big data analysis | 27.3 | 0 | 2 |
| Developing Continuing Education Contents for Mental Health Social Workers : Focus Group and Delphi Survey Research | 27.3 | 0 | 2 |
| The role of social media data analytics in rural tourism market trend forecasting | 27.3 | 0 | 2 |
| Quantifying the Effect of Informational Support on Membership Retention in Online Communities through Large-Scale Data Analytics | 27.3 | 0 | 2 |
| BIG DATA ANALYTICS: A REVIEW OF ITS TRANSFORMATIVE ROLE IN MODERN BUSINESS INTELLIGENCE | 27.3 | 0 | 2 |
| Data Analytics of Mobile Serious Games: Applying Bayesian Data Analysis Methods | 27.3 | 0 | 2 |
| Data Management, Data Analytics, and Business Intelligence Can Assist in Process Management and Process Improvement Efforts | 27.3 | 0 | 2 |
| Sense-Making of Critical Incidents with Sentiment Analysis and Data Visualization | 27.3 | 0 | 2 |
| Customer Satisfaction Measurement using Sentiment Analysis | 27.3 | 0 | 2 |
| Focus group discussion in built environment qualitative research practice | 27.3 | 0 | 2 |
| Creating value in accounting education with a qualitative research methodology | 27.3 | 0 | 2 |
| Sensor Tower | 27.3 | 0 | 2 |
| An approach for the implementation of semantic Big Data Analytics in the Social Business Intelligence process on distributed environments (Cloud computing) | 27.3 | 0 | 2 |
| Understanding Consumer Behavior by Big Data Visualization in the Smart Space Laboratory | 27.3 | 0 | 2 |
| Q131845465 | 27.3 | 0 | 2 |
| Merdeka Center | 27.3 | 0 | 2 |
| Using qualitative research methodology to examine women STEM faculty’s participation in entrepreneurship education programs | 27.3 | 0 | 2 |
| Identifying Significant Features that Impact URM Student Academic Success and Retention Upmost Using Qualitative Methodologies: Focus Groups | 27.3 | 0 | 2 |
| type of survey | 27.3 | 0 | 2 |
| Sample size for qualitative research | 27.3 | 0 | 2 |
| THE IMPACT OF SUBSCRIPTION-BASED BUSINESS MODELS ON CONSUMER LOYALTY IN E-COMMERCE & RETAIL (AMAZON PRIME, FLIPKART PLUS) | 27.3 | 0 | 2 |
| Q136291178 | 27.3 | 0 | 2 |
| Exology for Smart Solutions and Consulting | 27.3 | 0 | 2 |
| Businta Business Intelligence Solutions | 27.3 | 0 | 2 |
| Q136814113 | 27.3 | 0 | 2 |
| Q136926271 | 27.3 | 0 | 2 |
| Q136926399 | 27.3 | 0 | 2 |
| Q137104503 | 27.3 | 0 | 2 |
| Q137145026 | 27.3 | 0 | 2 |
| Q137163990 | 27.3 | 0 | 2 |
| Re-Thinking the Boundaries of the Focus Group: A Reflexive Analysis on the Use and Legitimacy of Group Methodologies in Qualitative Research | 27.3 | 0 | 2 |
| Business Intelligence: Data-Driven Decision Making | 27.3 | 0 | 2 |
| Next Move Strategy Consulting | 27.3 | 0 | 2 |
| Whitecyber Research Framework | 27.3 | 0 | 2 |
| Assembled | 27.3 | 0 | 2 |
| Lets Viz Technologies | 27.3 | 0 | 2 |
| Elevated Signal | 27.3 | 0 | 2 |
| Annika’s Work From Home | 27.3 | 0 | 2 |
| Infomineo | 27.3 | 0 | 2 |
| The Pitfalls and Promise of Focus Groups as a Data Collection Method | 27.3 | 0 | 2 |
| Cosmio | 27.3 | 0 | 2 |
| Standards for data collection from human skeletal remains. Edited by Jane E. Buikstra and Douglas H. Ubelaker. 272 pp. Fayetteville: Arkansas Archeological Survey Research Series No. 44, 1994. $25.00 (paper) | 27.3 | 0 | 2 |
| Succeet Award | 27.3 | 0 | 2 |
| Interlinking structural racism and heteropatriarchy: Rethinking family structure's effects on child outcomes in a racialized, unequal society | 27.3 | 0 | 2 |
| Interlinking structural racism and heteropatriarchy: Rethinking family structure's effects on child outcomes in a racialized, unequal society | 27.3 | 0 | 2 |
| IMMAR | 27.3 | 0 | 2 |
| QInsights | 27.3 | 0 | 2 |
| The Sage Handbook of Qualitative Research | 27.3 | 0 | 2 |
| Using and analysing focus groups: Limitations and possibilities | 27.3 | 0 | 2 |
| A Trend Analysis of Environmentalists' Organizational Commitment, Tactic Advocacy, and Perceptions of Government | 27.3 | 0 | 2 |
| UNDERSTANDING PARTICIPATORY ACTION RESEARCH: A QUALITATIVE RESEARCH METHODOLOGY OPTION | 27.3 | 0 | 2 |
| Focus Groups as Qualitative Research | 27.3 | 0 | 2 |
| Focus Groups as Qualitative Research | 27.3 | 0 | 2 |
| Jordan/Zalaznick Advisers Inc. | 26.7 | 4 | 0 |
| PricewaterhouseCoopers | 23.0 | 3 | 0 |
| IBM Bluemix | 23.0 | 3 | 0 |
| G2 | 23.0 | 3 | 0 |
| Gallup | 18.3 | 2 | 0 |
| SPSS | 18.3 | 2 | 0 |
| Deloitte | 18.3 | 2 | 0 |
| Forrester | 18.3 | 2 | 0 |
| Federal Information Processing Standard | 18.3 | 2 | 0 |
| IBM Informix | 18.3 | 2 | 0 |
| CICS | 18.3 | 2 | 0 |
| IBM Rational DOORS | 18.3 | 2 | 0 |
| Gordon Food Service | 18.3 | 2 | 0 |
| Rational Rhapsody | 18.3 | 2 | 0 |
| IBM Power Systems | 18.3 | 2 | 0 |
| CPLEX | 18.3 | 2 | 0 |
| IBM Configuration Management Version Control | 18.3 | 2 | 0 |
| Dunnhumby | 18.3 | 2 | 0 |
| Jiemian News | 18.3 | 2 | 0 |
| National Institute of Standards and Technology Boulder | 18.3 | 2 | 0 |
| Conrad Hackett | 18.3 | 2 | 0 |
| IBM Cloud | 18.3 | 2 | 0 |
| IBM Cloud Object Storage | 18.3 | 2 | 0 |
| Anove International | 18.3 | 2 | 0 |
| Robert Durec | 17.2 | 0 | 1 |
| arithmetic mean | 17.2 | 0 | 1 |
| University of Oxford | 17.2 | 0 | 1 |
| marketing | 17.2 | 0 | 1 |
| New York University | 17.2 | 0 | 1 |
| National Institute for Occupational Safety and Health | 17.2 | 0 | 1 |
| Mario Szegedy | 17.2 | 0 | 1 |
| Noga Alon | 17.2 | 0 | 1 |
| Dale T. Mortensen | 17.2 | 0 | 1 |
| MagicPlot | 17.2 | 0 | 1 |
| Luis Walter Alvarez | 17.2 | 0 | 1 |
| methodology | 17.2 | 0 | 1 |
| social media | 17.2 | 0 | 1 |
| conjoint analysis | 17.2 | 0 | 1 |
| R | 17.2 | 0 | 1 |
| virtual community | 17.2 | 0 | 1 |
| p-value | 17.2 | 0 | 1 |
| Ökoskopie | 17.2 | 0 | 1 |
| AUV ABYSS | 17.2 | 0 | 1 |
| consumer behavior | 17.2 | 0 | 1 |
| geometric data analysis | 17.2 | 0 | 1 |
| ggplot2 | 17.2 | 0 | 1 |
| decision support system | 17.2 | 0 | 1 |
| market segmentation | 17.2 | 0 | 1 |
| descriptive statistics | 17.2 | 0 | 1 |
| United States National Institutes of Health | 17.2 | 0 | 1 |
| Think aloud protocol | 17.2 | 0 | 1 |
| Agence Nationale de la Recherche | 17.2 | 0 | 1 |
| acquiescence bias | 17.2 | 0 | 1 |
| statistical significance | 17.2 | 0 | 1 |
| visual inspection | 17.2 | 0 | 1 |
| analytics | 17.2 | 0 | 1 |
| schizoid personality disorder | 17.2 | 0 | 1 |
| Stiftung Warentest | 17.2 | 0 | 1 |
| competitive intelligence | 17.2 | 0 | 1 |
| relationship marketing | 17.2 | 0 | 1 |
| online analytical processing | 17.2 | 0 | 1 |
| usability testing | 17.2 | 0 | 1 |
| unfair competition | 17.2 | 0 | 1 |
| Arthur Nielsen | 17.2 | 0 | 1 |
| mystery shopping | 17.2 | 0 | 1 |
| affinity analysis | 17.2 | 0 | 1 |
| quantitative research | 17.2 | 0 | 1 |
| BIRT Project | 17.2 | 0 | 1 |
| consumer choice | 17.2 | 0 | 1 |
| quality assurance | 17.2 | 0 | 1 |
| qualitative research | 17.2 | 0 | 1 |
| bibliogram | 17.2 | 0 | 1 |
| GfK Chart-Track | 17.2 | 0 | 1 |
| Australian Bureau of Agricultural and Resource Economics | 17.2 | 0 | 1 |
| Video Research | 17.2 | 0 | 1 |
| Bland–Altman plot | 17.2 | 0 | 1 |
| market research | 17.2 | 0 | 1 |
| Qlik | 17.2 | 0 | 1 |
| ROOT | 17.2 | 0 | 1 |
| GEIPAN | 17.2 | 0 | 1 |
| Q966400 | 17.2 | 0 | 1 |
| eye tracking | 17.2 | 0 | 1 |
| book market research | 17.2 | 0 | 1 |
| customer satisfaction | 17.2 | 0 | 1 |
| Business Intelligence Competency Center | 17.2 | 0 | 1 |
| HP Neoview | 17.2 | 0 | 1 |
| recency, frequency, monetary value | 17.2 | 0 | 1 |
| predictive analytics | 17.2 | 0 | 1 |
| Center for Justice and International Law | 17.2 | 0 | 1 |
| Physics Analysis Workstation | 17.2 | 0 | 1 |
| Kano model | 17.2 | 0 | 1 |
| online identity | 17.2 | 0 | 1 |
| genealogical numbering system | 17.2 | 0 | 1 |
| SciDAVis | 17.2 | 0 | 1 |
| Coventry University | 17.2 | 0 | 1 |
| industrial espionage | 17.2 | 0 | 1 |
| data drilling | 17.2 | 0 | 1 |
| MetaStock | 17.2 | 0 | 1 |
| SAP NetWeaver Business Intelligence | 17.2 | 0 | 1 |
| ERDAS Inc. | 17.2 | 0 | 1 |
| ESOMAR | 17.2 | 0 | 1 |
| Origin | 17.2 | 0 | 1 |
| Q1318646 | 17.2 | 0 | 1 |
| exploratory data analysis | 17.2 | 0 | 1 |
| Elliott wave principle | 17.2 | 0 | 1 |
| World Association for Public Opinion Research | 17.2 | 0 | 1 |
| Journal of Consumer Research | 17.2 | 0 | 1 |
| European Computer-Industry Research Center | 17.2 | 0 | 1 |
| European Information Technology Observatory | 17.2 | 0 | 1 |
| field research | 17.2 | 0 | 1 |
| multidimensional analysis | 17.2 | 0 | 1 |
| Forsa Institute | 17.2 | 0 | 1 |
| SpeedTree | 17.2 | 0 | 1 |
| structural equation modeling | 17.2 | 0 | 1 |
| customer analytics | 17.2 | 0 | 1 |
| systematic review | 17.2 | 0 | 1 |
| VTSIOM | 17.2 | 0 | 1 |
| Gwyddion | 17.2 | 0 | 1 |
| NACA airfoil | 17.2 | 0 | 1 |
| consumer type | 17.2 | 0 | 1 |
| secondary research | 17.2 | 0 | 1 |
| MeatballWiki | 17.2 | 0 | 1 |
| SAVE-study | 17.2 | 0 | 1 |
| Q1664828 | 17.2 | 0 | 1 |
| ArsDigita Community System | 17.2 | 0 | 1 |
| cluster sampling | 17.2 | 0 | 1 |
| Long-range dependency | 17.2 | 0 | 1 |
| A/B testing | 17.2 | 0 | 1 |
| original research | 17.2 | 0 | 1 |
| Leibniz Institute for Natural Product Research and Infection Biology | 17.2 | 0 | 1 |
| Soviet Antarctic Expedition | 17.2 | 0 | 1 |
| Net Promoter Score | 17.2 | 0 | 1 |
| brand research | 17.2 | 0 | 1 |
| market analysis | 17.2 | 0 | 1 |
| Media Control | 17.2 | 0 | 1 |
| mosaic plot | 17.2 | 0 | 1 |
| US National Health and Nutrition Examination Survey | 17.2 | 0 | 1 |
| WSF-library | 17.2 | 0 | 1 |
| IBM OpenDX | 17.2 | 0 | 1 |
| panel analysis | 17.2 | 0 | 1 |
| Phase dispersion minimization | 17.2 | 0 | 1 |
| Nice Ltd | 17.2 | 0 | 1 |
| space mission | 17.2 | 0 | 1 |
| sentiment analysis | 17.2 | 0 | 1 |
| computer-assisted web interviewing | 17.2 | 0 | 1 |
| slice and dice | 17.2 | 0 | 1 |
| University of Ghana | 17.2 | 0 | 1 |
| Steady state topography | 17.2 | 0 | 1 |
| Q2349560 | 17.2 | 0 | 1 |
| Field-Map | 17.2 | 0 | 1 |
| Weapons Systems Evaluation Group | 17.2 | 0 | 1 |
| Semantically-Interlinked Online Communities | 17.2 | 0 | 1 |
| Swedish Defence Research Agency | 17.2 | 0 | 1 |
| usability lab | 17.2 | 0 | 1 |
| Italian consumer behavior | 17.2 | 0 | 1 |
| forensic data analysis | 17.2 | 0 | 1 |
| Agricultural Research Service | 17.2 | 0 | 1 |
| Aircraft Meteorological Data Relay | 17.2 | 0 | 1 |
| World Programming System | 17.2 | 0 | 1 |
| Multiple correspondence analysis | 17.2 | 0 | 1 |
| industry or market research | 17.2 | 0 | 1 |
| American Association for Public Opinion Research | 17.2 | 0 | 1 |
| Business Intelligence 2.0 | 17.2 | 0 | 1 |
| Bio-Rad Laboratories | 17.2 | 0 | 1 |
| Blind taste test | 17.2 | 0 | 1 |
| French Agricultural Research Centre for International Development | 17.2 | 0 | 1 |
| Scientific and Technical Centre for Building | 17.2 | 0 | 1 |
| brand community | 17.2 | 0 | 1 |
| customer insight | 17.2 | 0 | 1 |
| D3.js | 17.2 | 0 | 1 |
| Defence Research Agency | 17.2 | 0 | 1 |
| Global Ocean Data Analysis Project | 17.2 | 0 | 1 |
| GTAP | 17.2 | 0 | 1 |
| Ralph Kimball | 17.2 | 0 | 1 |
| Iconographie des corrélations | 17.2 | 0 | 1 |
| Market segmentation index | 17.2 | 0 | 1 |
| Lexico | 17.2 | 0 | 1 |
| personalized marketing | 17.2 | 0 | 1 |
| Classora | 17.2 | 0 | 1 |
| MIRA Ltd. | 17.2 | 0 | 1 |
| Aquad | 17.2 | 0 | 1 |
| online community platform | 17.2 | 0 | 1 |
| demand forecasting | 17.2 | 0 | 1 |
| QDA Miner | 17.2 | 0 | 1 |
| Robert Antoine | 17.2 | 0 | 1 |
| Screen Digest | 17.2 | 0 | 1 |
| survey study | 17.2 | 0 | 1 |
| Seznam.cz | 17.2 | 0 | 1 |
| statistical theory | 17.2 | 0 | 1 |
| Yves-Michel Marti | 17.2 | 0 | 1 |
| Étude de la presse d'information quotidienne | 17.2 | 0 | 1 |
| structured data analysis | 17.2 | 0 | 1 |
| information seeking | 17.2 | 0 | 1 |
| people-meter | 17.2 | 0 | 1 |
| Multiplicity | 17.2 | 0 | 1 |
| The Man Who Japed | 17.2 | 0 | 1 |
| Ferret Data Visualization and Analysis | 17.2 | 0 | 1 |
| SEADE | 17.2 | 0 | 1 |
| SigmaPlot | 17.2 | 0 | 1 |
| General Social Survey | 17.2 | 0 | 1 |
| Qualitative Research | 17.2 | 0 | 1 |
| Unistat | 17.2 | 0 | 1 |
| topological data analysis | 17.2 | 0 | 1 |
| 1000minds | 17.2 | 0 | 1 |
| Computer assisted qualitative data analysis software | 17.2 | 0 | 1 |
| AIDA | 17.2 | 0 | 1 |
| ad tracking | 17.2 | 0 | 1 |
| Admiralty Research Establishment | 17.2 | 0 | 1 |
| Advances in Adaptive Data Analysis | 17.2 | 0 | 1 |
| Agentless data collection | 17.2 | 0 | 1 |
| Air Force Historical Research Agency | 17.2 | 0 | 1 |
| American Customer Satisfaction Index | 17.2 | 0 | 1 |
| Amira | 17.2 | 0 | 1 |
| Ana | 17.2 | 0 | 1 |
| analytical base table | 17.2 | 0 | 1 |
| Andrews Plot | 17.2 | 0 | 1 |
| Anduril | 17.2 | 0 | 1 |
| Angus Reid | 17.2 | 0 | 1 |
| armchair theorizing | 17.2 | 0 | 1 |
| Atlantic-ACM | 17.2 | 0 | 1 |
| Audience segmentation | 17.2 | 0 | 1 |
| Australasian Business Intelligence | 17.2 | 0 | 1 |
| autoethnography | 17.2 | 0 | 1 |
| Avizo | 17.2 | 0 | 1 |
| BOARD International | 17.2 | 0 | 1 |
| Ball-Bartoe | 17.2 | 0 | 1 |
| Ben Page | 17.2 | 0 | 1 |
| biological data visualization | 17.2 | 0 | 1 |
| data collection | 17.2 | 0 | 1 |
| Brewing Industry Research Foundation | 17.2 | 0 | 1 |
| Brian Wansink | 17.2 | 0 | 1 |
| British Iron and Steel Research Association | 17.2 | 0 | 1 |
| Broadcast and The Focus Group Investigate Witch Cults of the Radio Age | 17.2 | 0 | 1 |
| Brushing and linking | 17.2 | 0 | 1 |
| National Agricultural Technology Institute | 17.2 | 0 | 1 |
| Business Intelligence Markup Language | 17.2 | 0 | 1 |
| Business intelligence deployment | 17.2 | 0 | 1 |
| Business intelligence 3.0 | 17.2 | 0 | 1 |
| business intelligence software | 17.2 | 0 | 1 |
| CDA Investment Technologies | 17.2 | 0 | 1 |
| CRU Group | 17.2 | 0 | 1 |
| cVidya | 17.2 | 0 | 1 |
| Calculating demand forecast accuracy | 17.2 | 0 | 1 |
| Caucasus Research Resource Centers-Armenia | 17.2 | 0 | 1 |
| Center for Coastal & Ocean Mapping | 17.2 | 0 | 1 |
| Center for Survey Research | 17.2 | 0 | 1 |
| Centre for Public Opinion Research | 17.2 | 0 | 1 |
| Chandrajit Bajaj | 17.2 | 0 | 1 |
| Charles Coolidge Parlin | 17.2 | 0 | 1 |
| choice modeling | 17.2 | 0 | 1 |
| Climate Data Analysis Tool | 17.2 | 0 | 1 |
| clustering high-dimensional data | 17.2 | 0 | 1 |
| Cochran–Armitage test for trend | 17.2 | 0 | 1 |
| Coding Analysis Toolkit | 17.2 | 0 | 1 |
| Combinatorial data analysis | 17.2 | 0 | 1 |
| Comparative research | 17.2 | 0 | 1 |
| Competitive analysis | 17.2 | 0 | 1 |
| Competitive analysis | 17.2 | 0 | 1 |
| Component-based usability testing | 17.2 | 0 | 1 |
| Computational Statistics & Data Analysis | 17.2 | 0 | 1 |
| Computer-aided audit tools | 17.2 | 0 | 1 |
| concept testing | 17.2 | 0 | 1 |
| Confidential Information Protection and Statistical Efficiency Act of 2002 | 17.2 | 0 | 1 |
| Configural frequency analysis | 17.2 | 0 | 1 |
| Conjoint analysis | 17.2 | 0 | 1 |
| Consumer confusion | 17.2 | 0 | 1 |
| consumer neuroscience | 17.2 | 0 | 1 |
| consumer privacy | 17.2 | 0 | 1 |
| Consumers' Research | 17.2 | 0 | 1 |
| CoreLogic | 17.2 | 0 | 1 |
| Council of American Survey Research Organizations | 17.2 | 0 | 1 |
| Criminal Reduction Utilising Statistical History | 17.2 | 0 | 1 |
| online panel | 17.2 | 0 | 1 |
| customer satisfaction research | 17.2 | 0 | 1 |
| Cuzick–Edwards test | 17.2 | 0 | 1 |
| GNU Dap | 17.2 | 0 | 1 |
| DNAnexus | 17.2 | 0 | 1 |
| DataScene | 17.2 | 0 | 1 |
| Data Analysis Techniques for Fraud Detection | 17.2 | 0 | 1 |
| Data analysis expressions | 17.2 | 0 | 1 |
| data classification (business intelligence) | 17.2 | 0 | 1 |
| data farming | 17.2 | 0 | 1 |
| Datamonitor | 17.2 | 0 | 1 |
| David Mount | 17.2 | 0 | 1 |
| Decima Research | 17.2 | 0 | 1 |
| Design effect | 17.2 | 0 | 1 |
| Dialectical research | 17.2 | 0 | 1 |
| Dundas Data Visualization | 17.2 | 0 | 1 |
| Electronic patient-reported outcome | 17.2 | 0 | 1 |
| electrostatic detection device | 17.2 | 0 | 1 |
| Emacs Speaks Statistics | 17.2 | 0 | 1 |
| European Survey Research Association | 17.2 | 0 | 1 |
| Event sampling methodology | 17.2 | 0 | 1 |
| Experian Consumer Research | 17.2 | 0 | 1 |
| Federal Judicial Center | 17.2 | 0 | 1 |
| financial intelligence | 17.2 | 0 | 1 |
| Focus Group Holdings Limited | 17.2 | 0 | 1 |
| Food and Environment Research Agency | 17.2 | 0 | 1 |
| Frank Buytendijk | 17.2 | 0 | 1 |
| Fuld-Gilad-Herring Academy of Competitive Intelligence | 17.2 | 0 | 1 |
| functional data analysis | 17.2 | 0 | 1 |
| Furniture Industry Research Association | 17.2 | 0 | 1 |
| FusionCharts | 17.2 | 0 | 1 |
| GNS Healthcare | 17.2 | 0 | 1 |
| Gann angles | 17.2 | 0 | 1 |
| GenePattern | 17.2 | 0 | 1 |
| Geological Survey of Newfoundland and Labrador | 17.2 | 0 | 1 |
| GlobalWebIndex | 17.2 | 0 | 1 |
| Glyph | 17.2 | 0 | 1 |
| Google Consumer Surveys | 17.2 | 0 | 1 |
| Grace Wahba | 17.2 | 0 | 1 |
| data visualization software | 17.2 | 0 | 1 |
| Greenwood statistic | 17.2 | 0 | 1 |
| HDF Explorer | 17.2 | 0 | 1 |
| Henry L. Stimson Center | 17.2 | 0 | 1 |
| Hey Let Loose Your Love | 17.2 | 0 | 1 |
| High Frequency Economics | 17.2 | 0 | 1 |
| Higher Education Research Data Collection | 17.2 | 0 | 1 |
| HippoDraw | 17.2 | 0 | 1 |
| Honomichl Top 50 | 17.2 | 0 | 1 |
| Howard Moskowitz | 17.2 | 0 | 1 |
| Howze Board | 17.2 | 0 | 1 |
| Human Rights Data Analysis Group | 17.2 | 0 | 1 |
| IBM Cognos 8 Business Intelligence | 17.2 | 0 | 1 |
| Thailand National Science and Technology Development Agency | 17.2 | 0 | 1 |
| INDEX | 17.2 | 0 | 1 |
| IRIS | 17.2 | 0 | 1 |
| Ignorability | 17.2 | 0 | 1 |
| Turkish Energy, Nuclear and Mineral Research Agency | 17.2 | 0 | 1 |
| Implicit data collection | 17.2 | 0 | 1 |
| Industrial market segmentation | 17.2 | 0 | 1 |
| industry analyst | 17.2 | 0 | 1 |
| Integrated Postsecondary Education Data System | 17.2 | 0 | 1 |
| Integrated Space Cell | 17.2 | 0 | 1 |
| International Business and Economic Research Center | 17.2 | 0 | 1 |
| Interpretative phenomenological analysis | 17.2 | 0 | 1 |
| JATO Dynamics | 17.2 | 0 | 1 |
| Hongmungwan | 17.2 | 0 | 1 |
| Jan Vanthienen | 17.2 | 0 | 1 |
| Category:Public opinion research companies | 17.2 | 0 | 1 |
| Justason Market Intelligence | 17.2 | 0 | 1 |
| Klipfolio | 17.2 | 0 | 1 |
| Labor market segmentation | 17.2 | 0 | 1 |
| LatentView | 17.2 | 0 | 1 |
| Latin Business Chronicle | 17.2 | 0 | 1 |
| data visualization | 17.2 | 0 | 1 |
| online community | 17.2 | 0 | 1 |
| LiveWire Professional | 17.2 | 0 | 1 |
| Template:Air Force Historical Research Agency | 17.2 | 0 | 1 |
| Madagascar | 17.2 | 0 | 1 |
| Market share analysis | 17.2 | 0 | 1 |
| Category:Market research | 17.2 | 0 | 1 |
| Category:Quantitative research | 17.2 | 0 | 1 |
| Meter data analytics | 17.2 | 0 | 1 |
| Mitchell Hutchins | 17.2 | 0 | 1 |
| Mobile business intelligence | 17.2 | 0 | 1 |
| Category:Product testing | 17.2 | 0 | 1 |
| Monmouth University Polling Institute | 17.2 | 0 | 1 |
| Moose | 17.2 | 0 | 1 |
| Moreover Technologies | 17.2 | 0 | 1 |
| Muddy Waters Research | 17.2 | 0 | 1 |
| Multiscale European Soil Information System | 17.2 | 0 | 1 |
| Category:Data analysis software | 17.2 | 0 | 1 |
| NVivo | 17.2 | 0 | 1 |
| Nadim Sadek | 17.2 | 0 | 1 |
| narrative inquiry | 17.2 | 0 | 1 |
| National Council on Compensation Insurance | 17.2 | 0 | 1 |
| National Institute for Consumer Research | 17.2 | 0 | 1 |
| National Institute of Economic and Industry Research | 17.2 | 0 | 1 |
| National Institute of General Medical Sciences | 17.2 | 0 | 1 |
| National Statistical Office of Papua New Guinea | 17.2 | 0 | 1 |
| Natural Earth | 17.2 | 0 | 1 |
| Natural Product Research | 17.2 | 0 | 1 |
| Network Advertising Initiative | 17.2 | 0 | 1 |
| Category:Data analysis | 17.2 | 0 | 1 |
| Category:Data collection | 17.2 | 0 | 1 |
| Northern Ireland Statistics and Research Agency | 17.2 | 0 | 1 |
| one- and two-tailed tests | 17.2 | 0 | 1 |
| online participation | 17.2 | 0 | 1 |
| online research community | 17.2 | 0 | 1 |
| Onvia | 17.2 | 0 | 1 |
| OpenScientist | 17.2 | 0 | 1 |
| Operational Research CONsultancy | 17.2 | 0 | 1 |
| Opinion Research Center of Afghanistan | 17.2 | 0 | 1 |
| Opinium Research | 17.2 | 0 | 1 |
| Oracle Business Intelligence Suite Enterprise Edition | 17.2 | 0 | 1 |
| oversampling and undersampling in data analysis | 17.2 | 0 | 1 |
| PSI-Plot | 17.2 | 0 | 1 |
| Palestinian Center for Policy and Survey Research | 17.2 | 0 | 1 |
| Panopticon Software | 17.2 | 0 | 1 |
| Photovoice | 17.2 | 0 | 1 |
| Physicians for Human Rights | 17.2 | 0 | 1 |
| Apache Pig | 17.2 | 0 | 1 |
| Populus Ltd | 17.2 | 0 | 1 |
| Porter's four corners model | 17.2 | 0 | 1 |
| potentially all pairwise rankings of all possible alternatives | 17.2 | 0 | 1 |
| Power Pivot | 17.2 | 0 | 1 |
| Prabhakar Raghavan | 17.2 | 0 | 1 |
| preference-rank translation | 17.2 | 0 | 1 |
| product testing | 17.2 | 0 | 1 |
| profiling | 17.2 | 0 | 1 |
| Progressive Digital Media | 17.2 | 0 | 1 |
| Public Opinion Research | 17.2 | 0 | 1 |
| Qualitative Data Analysis Program | 17.2 | 0 | 1 |
| Qualitative Research Reports in Communication | 17.2 | 0 | 1 |
| Quantitative marketing research | 17.2 | 0 | 1 |
| RQDA | 17.2 | 0 | 1 |
| Real-time business intelligence | 17.2 | 0 | 1 |
| Q7319296 | 17.2 | 0 | 1 |
| Robert Worcester | 17.2 | 0 | 1 |
| Roper Center for Public Opinion Research | 17.2 | 0 | 1 |
| Roy Morgan | 17.2 | 0 | 1 |
| SDTM | 17.2 | 0 | 1 |
| SPSS Modeler | 17.2 | 0 | 1 |
| SceneTap | 17.2 | 0 | 1 |
| Self-Similarity of Network Data Analysis | 17.2 | 0 | 1 |
| self-brand | 17.2 | 0 | 1 |
| Shirley Institute | 17.2 | 0 | 1 |
| Siena Research Institute | 17.2 | 0 | 1 |
| Kantar Sifo | 17.2 | 0 | 1 |
| Sketches and Spells | 17.2 | 0 | 1 |
| social data analysis | 17.2 | 0 | 1 |
| Apache Spark | 17.2 | 0 | 1 |
| Stansberry Research | 17.2 | 0 | 1 |
| Strategic Insights | 17.2 | 0 | 1 |
| structured data analysis | 17.2 | 0 | 1 |
| Survation | 17.2 | 0 | 1 |
| survey data collection | 17.2 | 0 | 1 |
| Symbolic data analysis | 17.2 | 0 | 1 |
| TARGIT Business Intelligence | 17.2 | 0 | 1 |
| Techlog | 17.2 | 0 | 1 |
| Television Preview | 17.2 | 0 | 1 |
| Testimator | 17.2 | 0 | 1 |
| Texas Engineering Experiment Station | 17.2 | 0 | 1 |
| Barna Group | 17.2 | 0 | 1 |
| Color Association of the United States | 17.2 | 0 | 1 |
| IBM Lotus Sametime | 11.5 | 1 | 0 |
| IBM WebSphere Application Server | 11.5 | 1 | 0 |
| IBM Lotus SmartSuite | 11.5 | 1 | 0 |
| Boston Consulting Group | 11.5 | 1 | 0 |
| SurveyMonkey | 11.5 | 1 | 0 |
| Gartner | 11.5 | 1 | 0 |
| National Institute of Standards and Technology | 11.5 | 1 | 0 |
| PL/I | 11.5 | 1 | 0 |
| IBM AIX | 11.5 | 1 | 0 |
| VSE | 11.5 | 1 | 0 |
| IQVIA Holdings, Inc. | 11.5 | 1 | 0 |
| McKinsey & Company | 11.5 | 1 | 0 |
| Accenture | 11.5 | 1 | 0 |
| Connect:Direct | 11.5 | 1 | 0 |
| IBM Db2 | 11.5 | 1 | 0 |
| American Marketing Association | 11.5 | 1 | 0 |
| IBM Rational Application Developer | 11.5 | 1 | 0 |
| Nielsen Company | 11.5 | 1 | 0 |
| IBM Rational ClearCase | 11.5 | 1 | 0 |
| Q636192 | 11.5 | 1 | 0 |
| Lotus 1-2-3 | 11.5 | 1 | 0 |
| Nielsen Media Research | 11.5 | 1 | 0 |
| John Kelsey | 11.5 | 1 | 0 |
| Q735991 | 11.5 | 1 | 0 |
| Bain & Company | 11.5 | 1 | 0 |
| International Components for Unicode | 11.5 | 1 | 0 |
| Lotus Software | 11.5 | 1 | 0 |
| IBM Lotus Domino | 11.5 | 1 | 0 |
| Kantar Group | 11.5 | 1 | 0 |
| International Data Corporation | 11.5 | 1 | 0 |
| Morningstar, Inc. | 11.5 | 1 | 0 |
| Transaction Processing Facility | 11.5 | 1 | 0 |
| IBM Lotus Organizer | 11.5 | 1 | 0 |
| IQVIA | 11.5 | 1 | 0 |
| IBM Information Management System | 11.5 | 1 | 0 |
| Nielsen ratings | 11.5 | 1 | 0 |
| Pew Research Center | 11.5 | 1 | 0 |
| IBM Canada | 11.5 | 1 | 0 |
| International Data Corporation | 11.5 | 1 | 0 |
| Journal of Marketing | 11.5 | 1 | 0 |
| Journal of Marketing Research | 11.5 | 1 | 0 |
| IBM Lotus Approach | 11.5 | 1 | 0 |
| Malcolm Baldrige National Quality Award | 11.5 | 1 | 0 |
| IBM Lotus Expeditor | 11.5 | 1 | 0 |
| IBM Lotus Freelance Graphics | 11.5 | 1 | 0 |
| IBM Lotus Word Pro | 11.5 | 1 | 0 |
| McKinsey Quarterly | 11.5 | 1 | 0 |
| Rational Synergy | 11.5 | 1 | 0 |
| IBM Z | 11.5 | 1 | 0 |
| Statista | 11.5 | 1 | 0 |
| IBM General Parallel File System | 11.5 | 1 | 0 |
| UNIX System Services | 11.5 | 1 | 0 |
| IBM WebSphere | 11.5 | 1 | 0 |
| PowerVM | 11.5 | 1 | 0 |
| IBM Rational Software Modeler | 11.5 | 1 | 0 |
| WebSphere Portal | 11.5 | 1 | 0 |
| Media Research Center | 11.5 | 1 | 0 |
| Develothon | 11.5 | 1 | 0 |
| Emptoris | 11.5 | 1 | 0 |
| Extreme Blue | 11.5 | 1 | 0 |
| Gerson Lehrman Group | 11.5 | 1 | 0 |
| IBM Academy of Technology | 11.5 | 1 | 0 |
| IBM Check Processing Control System | 11.5 | 1 | 0 |
| IBM India Private Limited | 11.5 | 1 | 0 |
| IBM Lotus Web Content Management | 11.5 | 1 | 0 |
| IBM PureQuery | 11.5 | 1 | 0 |
| IBM Israel | 11.5 | 1 | 0 |
| IBM Rational Rose XDE | 11.5 | 1 | 0 |
| IBM Rochester | 11.5 | 1 | 0 |
| IBM Scale-out File Services | 11.5 | 1 | 0 |
| IBM Unica NetInsight | 11.5 | 1 | 0 |
| IBM WebSphere Application Server Community Edition | 11.5 | 1 | 0 |
| IBM jStart | 11.5 | 1 | 0 |
| iSeries QSHELL | 11.5 | 1 | 0 |
| Linux Technology Center | 11.5 | 1 | 0 |
| National Voluntary Laboratory Accreditation Program | 11.5 | 1 | 0 |
| Nielsen BookScan | 11.5 | 1 | 0 |
| Nielsen Broadcast Data Systems | 11.5 | 1 | 0 |
| PowerVM Lx86 | 11.5 | 1 | 0 |
| pureXML | 11.5 | 1 | 0 |
| Qualtrics | 11.5 | 1 | 0 |
| IBM Spectrum Symphony | 11.5 | 1 | 0 |