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Ting Dai; Yang Du; Jennifer Cromley; Tia Fechter; Frank Nelson – Journal of Experimental Education, 2024
Simple matrix sampling planned missing (SMS PD) design, introduce missing data patterns that lead to covariances between variables that are not jointly observed, and create difficulties for analyses other than mean and variance estimations. Based on prior research, we adopted a new multigroup confirmatory factor analysis (CFA) approach to handle…
Descriptors: Research Problems, Research Design, Data, Matrices
Yan Zhou – ProQuest LLC, 2021
As the international large-scale assessments (ILSAs) become more popular, policy makers and education practitioners are interested in collecting as much student background information as possible to better understand the learning context of their students. To collect such abundant information, administrators need to develop a lot of questions.…
Descriptors: Matrices, Sampling, Research Design, Questionnaires
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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
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Scrutton, Roger; Beames, Simon – Journal of Experiential Education, 2015
Outdoor adventure education (OAE) has a long history of being credited with the personal and social development (PSD) of its participants. PSD is notoriously difficult to measure quantitatively, yet stakeholders demand statistical evidence that given approaches to eliciting PSD are effective in their methods. Rightly or wrongly, many stakeholders…
Descriptors: Adventure Education, Educational Research, Statistical Analysis, Individual Development
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McNeish, Daniel – Review of Educational Research, 2017
In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…
Descriptors: Models, Statistical Analysis, Sampling, Sample Size
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Wester, Kelly L.; Borders, L. DiAnne; Boul, Steven; Horton, Evette – Journal of Counseling & Development, 2013
The purpose of this study was to examine the quality of quantitative articles published in the "Journal of Counseling & Development." Quality concerns arose in regard to omissions of psychometric information of instruments, effect sizes, and statistical power. Type VI and II errors were found. Strengths included stated research…
Descriptors: Periodicals, Journal Articles, Counseling, Research
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Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
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McGrath, Helen; O'Toole, Thomas – European Journal of Training and Development, 2012
Purpose: The main aim of this paper is to develop guidelines on the critical issues to consider in research design in an action research (AR) environment for SME network capability development. Design/methodology/approach: The issues in research design for AR studies are developed from the authors' experience in running learning sets but, in…
Descriptors: Research Design, Action Research, Research Methodology, Data Analysis
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Karadag, Engin – Education, 2010
In this research, the level of quality of the qualitative research design used and the analytic mistakes made in the doctorate dissertations carried out in the field of education science in Turkey have been tried to be identified. Case study design has been applied in the study in which qualitative research techniques have been used. The universe…
Descriptors: Foreign Countries, Research Design, Qualitative Research, Educational Research
Reardon, Sean F. – Society for Research on Educational Effectiveness, 2010
Instrumental variable estimators hold the promise of enabling researchers to estimate the effects of educational treatments that are not (or cannot be) randomly assigned but that may be affected by randomly assigned interventions. Examples of the use of instrumental variables in such cases are increasingly common in educational and social science…
Descriptors: Social Science Research, Least Squares Statistics, Computation, Correlation
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Harris, P. – Psychometrika, 1984
A test for multisample sphericity based on the efficient scores criterion is obtained as an alternative to the likelihood ratio test developed by Mendoza. (Author)
Descriptors: Hypothesis Testing, Research Design, Research Problems, Sampling
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Willson, Victor L. – Evaluation and Program Planning: An International Journal, 1981
It is argued that time generalizability exists independent of population and situation generalizability, although the three may interact. Problems associated with sampling and randomization efficacy over time are discussed. (Author/GK)
Descriptors: Generalization, Research Design, Research Problems, Sampling
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Luftig, Jeffrey T.; Norton, Willis P. – Journal of Studies in Technical Careers, 1982
This article builds on an earlier discussion of the importance of the Type II error (beta) and power to the hypothesis testing process (CE 511 484), and illustrates the methods by which sample size calculations should be employed so as to improve the research process. (Author/CT)
Descriptors: Hypothesis Testing, Research Design, Research Methodology, Research Problems
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Onwuegbuzie, Anthony J.; Collins, Kathleen M. T. – Qualitative Report, 2007
This paper provides a framework for developing sampling designs in mixed methods research. First, we present sampling schemes that have been associated with quantitative and qualitative research. Second, we discuss sample size considerations and provide sample size recommendations for each of the major research designs for quantitative and…
Descriptors: Social Science Research, Qualitative Research, Methods Research, Sample Size
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Williams, John D.; Wali, Mohan K. – Multiple Linear Regression Viewpoints, 1979
An experimental sampling procedure for communities on which coal had been surface-mined yielded missing cells and caused the number of degrees of freedom to be N instead of the usual N minus one. The apparent discrepancy is explained, and a solution to the problem is presented. (Author/JKS)
Descriptors: Analysis of Variance, Research Design, Research Problems, Sampling
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