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Matthew J. Mayhew; Christa E. Winkler – Journal of Postsecondary Student Success, 2024
Higher education professionals often are tasked with providing evidence to stakeholders that programs, services, and practices implemented on their campuses contribute to student success. Furthermore, in the absence of a solid base of evidence related to effective practices, higher education researchers and practitioners are left questioning what…
Descriptors: Higher Education, Educational Practices, Evidence Based Practice, Program Evaluation
Su, Dan; Steiner, Peter M. – Sociological Methods & Research, 2020
Factorial surveys use a population of vignettes to elicit respondents' attitudes or beliefs about different hypothetical scenarios. However, the vignette population is frequently too large to be assessed by each respondent. Experimental designs such as randomized block confounded factorial (RBCF) designs, D-optimal designs, or random sampling…
Descriptors: Surveys, Vignettes, Factor Analysis, Research Design
Brunner, Martin; Keller, Lena; Stallasch, Sophie E.; Kretschmann, Julia; Hasl, Andrea; Preckel, Franzis; Lüdtke, Oliver; Hedges, Larry V. – Research Synthesis Methods, 2023
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…
Descriptors: Meta Analysis, Surveys, Research Design, Educational Research
Makela, Susanna; Si, Yajuan; Gelman, Andrew – Grantee Submission, 2018
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to…
Descriptors: Bayesian Statistics, Statistical Inference, Sampling, Probability
Walston, Jill; Redford, Jeremy; Bhatt, Monica P. – Regional Educational Laboratory Midwest, 2017
This Workshop on Survey Methods in Education Research tool consists of a facilitator guide and workshop handouts. The toolkit is intended for use by state or district education leaders and others who want to conduct training on developing and administering surveys. The facilitator guide provides materials related to various phases of the survey…
Descriptors: Surveys, Research Design, Methods, Educational Research
Tipton, Elizabeth; Yeager, David; Iachan, Ronaldo – Society for Research on Educational Effectiveness, 2016
Questions regarding the generalizability of results from educational experiments have been at the forefront of methods development over the past five years. This work has focused on methods for estimating the effect of an intervention in a well-defined inference population (e.g., Tipton, 2013; O'Muircheartaigh and Hedges, 2014); methods for…
Descriptors: Behavioral Sciences, Behavioral Science Research, Intervention, Educational Experiments
Yurtseven, Nihal; Bademcioglu, Mehtap – Journal of Education and Training Studies, 2016
The purpose of this study is to carry out a content analysis about the studies on teachers' professional development and to determine the tendencies in these studies. Within this scope, 60 studies that were registered to Turkish National Thesis Centre and ProQuest database between the years 2005-2015 were examined. Of the 60 studies, 37 of them…
Descriptors: Foreign Countries, Faculty Development, Content Analysis, Educational Trends
Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
Strizek, Gregory A.; Tourkin, Steve; Erberber, Ebru – National Center for Education Statistics, 2014
This technical report is designed to provide researchers with an overview of the design and implementation of the Teaching and Learning International Survey (TALIS) 2013. This information is meant to supplement that presented in OECD publications by describing those aspects of TALIS 2013 that are unique to the United States. Chapter 2 provides…
Descriptors: Learning, Instruction, Research Design, Program Implementation
Crooke, Alexander Hew Dale; McFerran, Katrina Skewes – Australian Journal of Music Education, 2014
The potential for music programs to promote psychosocial wellbeing in mainstream schools is recognised in both policy and research literature. Despite this recognition, there is a dearth of consistent research evidence supporting this link. Authors attribute this lack of consistent evidence to limitations in the areas of research design and…
Descriptors: Foreign Countries, Music Education, Well Being, Psychological Patterns
OECD Publishing, 2014
The Programme for International Assessment of Adult Competencies (PIAAC) will establish technical standards and guidelines to ensure that the survey design and implementation processes of PIAAC yield high-quality and internationally comparable data. This document provides a revised version of the technical standards and guidelines originally…
Descriptors: Adults, International Assessment, Adult Literacy, Competence
Fan, Xitao; Wang, Lin – 1999
The popularity of sample surveys in evaluation and research makes it necessary for consumers to tell a good survey from a poor one. Several sources were identified that gave advice on how to evaluate a sample design used in a survey study. The sources are either too limited or too extensive to be useful practically. The purpose of this paper is to…
Descriptors: Evaluation Methods, Research Design, Research Methodology, Sampling
Elliot, Brownlee – CEDR Quarterly, 1980
This article presents a fairly quick, easy way to decide what size sample is needed for a survey, given a desired level of confidence and degree of accuracy. The method proposed will work on any multiple response instrument. A technical mathematical explanation is also included. (GK)
Descriptors: Data Collection, Research Design, Sampling, Statistical Analysis
Bachman, Jerald G.; Johnston, Lloyd D.; O'Malley, Patrick M.; Schulenberg, John E. – Online Submission, 2006
This occasional paper updates and extends earlier papers in the Monitoring the Future project. It provides a detailed description of the project's design, including sampling design, data collection procedures, measurement content, and questionnaire format. It attempts to include sufficient information for others who wish to evaluate the results,…
Descriptors: Questionnaires, Sampling, Research Design, Data Collection

Daniels, V. A.; Stephen, K. D. – British Journal of Educational Technology, 1978
Difficulties often encountered in conducting surveys in educational technology are described, and some guidelines are suggested for the design and implementation of a survey instrument. (RAO)
Descriptors: Data Collection, Educational Assessment, Guidelines, Questionnaires