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Showing 1 to 15 of 64 results Save | Export
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Lenz, A. Stephen – Measurement and Evaluation in Counseling and Development, 2020
A guide for professional counselors and counseling researchers for calculating and interpreting Percent Improvement as an indicator of clinical significance is provided. Strategies for reporting findings are described and illustrated. Guidelines for contextualizing discussions of clinical significance within the boundaries of psychometric evidence…
Descriptors: Counseling, Research, Computation, Improvement
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Ferguson, Sarah L.; Moore, E. Whitney G.; Hull, Darrell M. – International Journal of Behavioral Development, 2020
The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable modeling but not LPA specifically. A general procedure for conducting LPA is provided in six steps: (a) data inspection, (b) iterative evaluation of models,…
Descriptors: Statistical Analysis, Computer Software, Data Analysis, Goodness of Fit
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Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation
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Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
Although social scientists devote considerable effort to mitigating measurement error during data collection, they often ignore the issue during data analysis. And although many statistical methods have been proposed for reducing measurement error-induced biases, few have been widely used because of implausible assumptions, high levels of model…
Descriptors: Error of Measurement, Monte Carlo Methods, Data Collection, Simulation
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Chen, Pu-Shih Daniel; Gonyea, Robert M.; Sarraf, Shimon A.; BrckaLorenz, Allison; Korkmaz, Ali; Lambert, Amber D.; Shoup, Rick; Williams, Julie M. – New Directions for Institutional Research, 2009
Colleges and universities in the United States are being challenged to assess student outcomes and the quality of programs and services. One of the more widely used sources of evidence is student engagement as measured by a cluster of student engagement surveys administered by the Center for Postsecondary Research at Indiana University. They…
Descriptors: Data Analysis, Data Interpretation, National Surveys, College Students
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Onwuegbuzie, Anthony J.; Dickinson, Wendy B. – Qualitative Report, 2008
In this paper, we introduce various graphical methods that can be used to represent data in mixed research. First, we present a broad taxonomy of visual representation. Next, we use this taxonomy to provide an overview of visual techniques for quantitative data display and qualitative data display. Then, we propose what we call "crossover" visual…
Descriptors: Classification, Visual Aids, Data, Graphic Arts
Kahn, Peter; Wareham, Terry; Young, Richard; Willis, Ian; Pilkington, Ruth – International Journal of Research & Method in Education, 2008
The application of educational research to practice remains an issue of concern, and yet there has been relatively little consideration of this in relation to reviews of research. While the professional user review hitherto represents the most relevant approach, this involves users applying the findings of an earlier review rather than carrying…
Descriptors: Educational Research, Literature Reviews, Evaluation Methods, Methods Research
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Conley, Matthew D.; Colabucci, Lesley – Mid-Western Educational Researcher, 2009
In this paper, two beginning qualitative researchers describe the challenges and successes of conducting a collaborative self-study. For two academic years, the authors wrote and analyzed personal narratives related to their experiences as a lesbian and a gay man, respectively, in educational contexts. This article addresses the data analysis…
Descriptors: Qualitative Research, Figurative Language, Personal Narratives, Researchers
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Karakostas, K. X. – Journal of Educational and Behavioral Statistics, 2004
This article presents a technique that will help teachers, researchers, and other people who use the linear regression models, especially those in education and social sciences, to understand and interpret the residuals graphics better.
Descriptors: Regression (Statistics), Data Interpretation, Methods
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Rosenthal, David A.; Hoyt, William T.; Ferrin, James M.; Miller, Susan; Cohen, Nicholas D. – Rehabilitation Counseling Bulletin, 2006
Over the past 25 years, meta-analysis has assumed a significant role in the synthesis of counseling and psychotherapy research through the evaluation and interpretation of the results of multiple studies. An examination of four widely recognized rehabilitation counseling journals, however, reveals that only one meta-analysis (Bolton & Akridge,…
Descriptors: Psychotherapy, Rehabilitation Counseling, Data Interpretation, Meta Analysis
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Ruscio, John; Ruscio, Ayelet Meron; Meron, Mati – Multivariate Behavioral Research, 2007
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap…
Descriptors: Sampling, Equated Scores, Data Interpretation, Inferences
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Hoyt, William T.; Leierer, Stephen; Millington, Michael J. – Rehabilitation Counseling Bulletin, 2006
Multiple regression and correlation (MRC) methods form a flexible family of statistical techniques that can address a wide variety of different types of research questions of interest to rehabilitation professionals. In this article, we review basic concepts and terms, with an emphasis on interpretation of findings relevant to research questions…
Descriptors: Effect Size, Regression (Statistics), Correlation, Researchers
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Kitto, Richard J.; Barnett, John – American Journal of Evaluation, 2007
Despite the best of intentions, qualitative researchers can be faced, in some circumstances, with having to make meaning from thin, or less than optimal, data. Using a real study as context, the authors describe the ways that they made sense of their thin data on teachers' perceptions of a large-scale evaluation instrument. They propose a…
Descriptors: Sequential Approach, Qualitative Research, Data Interpretation, Electronic Mail
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Walker, Elaine; Emory, Eugene – Child Development, 1985
Written in response to an article (Horn, 1983) that appeared in special Developmental Behavioral Genetics section of CHILD DEVELOPMENT (Volume 54), this commentary (1) notes some issues concerning Horn's analysis and interpretation of data and (2) highlights the potential for interpretational bias in behavior genetics research. (Author/BE)
Descriptors: Adopted Children, Bias, Data Interpretation, Intelligence Quotient
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Horn, Joseph M. – Child Development, 1985
In this rebuttal to Walker and Emory's commentary (also in this issue), Horn argues that the issue of the influence of environment on the average IQ of adopted children was well discussed in his article (Volume 54 of CHILD DEVELOPMENT). (BE)
Descriptors: Adopted Children, Bias, Data Interpretation, Intelligence Quotient
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