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Showing all 12 results Save | Export
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Jennifer C. Davidson; Dimitar Karadzhov; Graham Wilson – Field Methods, 2024
Cost-effective and user-friendly, mobile phone-assisted methods have remained underutilized in qualitative social science research. The scarce methodological guidance, together with recruitment and ethical challenges, has arguably stifled advancements in this area. COVID-19 exposed the need to better equip researchers with the expertise and tools…
Descriptors: Test Construction, Handheld Devices, Computer Oriented Programs, Surveys
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Prasanna S. Premkumar; Santhosh Kumar Ganesan; Balaji Pandiyan; Dhivya Kumari Krishnamoorthy; Gagandeep Kang – Field Methods, 2024
Household expenditure data is at the core of efforts to measure living standards, inequality and financial protection against illness. Currently it is mainly derived from recall-based surveys that are time consuming and prone to measurement errors. Diaries are often used as an alternative approach, however this results in fatigue and low…
Descriptors: Handheld Devices, Telecommunications, Diaries, Surveys
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Link, Michael – Quality Assurance in Education: An International Perspective, 2018
Purpose: Researchers now have more ways than ever before to capture information about groups of interest. In many areas, these are augmenting traditional survey approaches -- in others, new methods are potential replacements. This paper aims to explore three key trends: use of nonprobability samples, mobile data collection and administrative and…
Descriptors: Sampling, Data Collection, Trend Analysis, Data
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Magraw-Mickelson, Zoe; Wang, Harry H.; Gollwitzer, Mario – International Journal of Testing, 2022
Much psychological research depends on participants' diligence in filling out materials such as surveys. However, not all participants are motivated to respond attentively, which leads to unintended issues with data quality, known as careless responding. Our question is: how do different modes of data collection--paper/pencil, computer/web-based,…
Descriptors: Response Style (Tests), Surveys, Data Collection, Test Format
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Schober, Michael F. – Quality Assurance in Education: An International Perspective, 2018
Purpose: This paper aims to explore the likelihood that face-to-face (FTF) interviewing will continue to be the "gold standard" survey interviewing method, to which all other modes are compared, in an era in which daily communicative habits for many now involve selecting among many alternative modes. Design/methodology/approach: After…
Descriptors: Research Methodology, Interviews, Surveys, Participation
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Fryer, Luke K.; Nakao, Kaori – Frontline Learning Research, 2020
Self-report is a fundamental research tool for the social sciences. Despite quantitative surveys being the workhorses of the self-report stable, few researchers question their format--often blindly using some form of Labelled Categorical Scale (Likert-type). This study presents a brief review of the current literature examining the efficacy of…
Descriptors: Measurement Techniques, Research Methodology, Surveys, Online Surveys
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Sugie, Naomi F. – Sociological Methods & Research, 2018
Mobile technologies, specifically smartphones, offer social scientists a potentially powerful approach to examine the social world. They enable researchers to collect information that was previously unobservable or difficult to measure, expanding the realm of empirical investigation. For research that concerns resource-poor and hard-to-reach…
Descriptors: Handheld Devices, Disadvantaged, Research Methodology, Social Science Research
Castellano, Soledad; Arnedillo-Sánchez, Inmaculada – International Association for Development of the Information Society, 2016
This paper presents a discussion on potential conflicts originated by sensorimotor distractions when learning with mobile phones on-the-move. While research in mobile learning points to the possibility of everywhere, all the time learning; research in the area suggests that tasks performed while on-the-move predominantly require low cognitive…
Descriptors: Handheld Devices, Telecommunications, Electronic Learning, Perceptual Motor Learning
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Sirakaya, Mustafa; Alsancak Sirakaya, Didem – Malaysian Online Journal of Educational Technology, 2018
This study aimed to identify the trends in the studies conducted on Educational Augmented Reality (AR). 105 articles found in ERIC, EBSCOhost and ScienceDirect databases were reviewed with this purpose in mind. Analyses displayed that the number of educational AR studies has increased over the years. Quantitative methods were mostly preferred in…
Descriptors: Simulated Environment, Teaching Methods, Literature Reviews, Research Methodology
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Purdam, Kingsley – International Journal of Social Research Methodology, 2016
Conducting social science research is a complex process, and social science students face a number of learning challenges in order to develop their skills. Moreover, new sources and types of data including so-called big data are providing new opportunities for research, but also pose methodological challenges. In this article, we explore a…
Descriptors: Social Science Research, Research Methodology, Research Skills, Online Surveys
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Sole, Marla A. – Mathematics Teacher, 2015
Every day, people use data to make decisions that affect their personal and professional lives, trusting that the data are correct. Many times, however, the data are inaccurate, as a result of a flaw in the design or methodology of the survey used to collect the data. Researchers agree that only questions that are clearly worded, unambiguous, free…
Descriptors: Test Construction, Surveys, Student Participation, Design
Hollenbeck, James E.; Fisher, Marianne – Online Submission, 2011
Greater Clark Schools in Indiana enrolled with a STEM education program, Shining Star with Indiana University, integrated Nova 5000 data-loggers in their curriculum reported success improving students' standardized exam scores and interest in science and mathematics courses after a three year period. The success of the data-loggers, determined by…
Descriptors: Student Interests, Educational Technology, Student Characteristics, Faculty Development