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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
Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
Teye, Amanda Cleveland; Peaslee, Liliokanaio – Child & Youth Care Forum, 2015
Background: Youth programs often rely on self-reported data without clear evidence as to the accuracy of these reports. Although the validity of self-reporting has been confirmed among some high school and college age students, one area that is absent from extant literature is a serious investigation among younger children. Moreover, there is…
Descriptors: Youth Programs, Young Children, Student Evaluation, Outcomes of Education
Brooks, Gordon P. – Mid-Western Educational Researcher, 2011
As lines between research paradigms continue to blur with the ever-increasing popularity of mixed methods research, there are useful, and occasionally oxymoronic, opportunities for educational researchers to juxtapose tools from opposing methods. The gold standard is just not possible in so much of what we do with small-scale research, nor is it…
Descriptors: Research Design, Research Methodology, Educational Researchers, Models
Maxwell, Joseph A. – Mid-Western Educational Researcher, 2011
In this article, the author challenges the validity and usefulness of the concept of "paradigm," as this term has been used in the social sciences generally, and specifically in the debates over research methods. He emphasizes that in criticizing what he sees as the misuse of the paradigm concept, he is not arguing for dismissing or ignoring…
Descriptors: Constructivism (Learning), Methods Research, Models, Research Methodology
Spillane, James P.; Pareja, Amber Stitziel; Dorner, Lisa; Barnes, Carol; May, Henry; Huff, Jason; Camburn, Eric – Educational Assessment, Evaluation and Accountability, 2010
In this paper we described how we mixed research approaches in a Randomized Control Trial (RCT) of a school principal professional development program. Using examples from our study we illustrate how combining qualitative and quantitative data can address some key challenges from validating instruments and measures of mediator variables to…
Descriptors: Research Methodology, Statistical Analysis, Qualitative Research, Principals
Imbens, Guido W. – Psychological Methods, 2010
In Shadish (2010) and West and Thoemmes (2010), the authors contrasted 2 approaches to causality. The first originated in the psychology literature and is associated with work by Campbell (e.g., Shadish, Cook, & Campbell, 2002), and the second has its roots in the statistics literature and is associated with work by Rubin (e.g., Rubin, 2006). In…
Descriptors: Economics, Research Methodology, Causal Models, Inferences
Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
University of Chicago Consortium on Chicago School Research, 2014
Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…
Descriptors: College Readiness, Educational Indicators, College Preparation, School Districts
Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Kotz, Kasey M.; Watkins, Marley W.; McDermott, Paul A. – School Psychology Review, 2008
Some researchers have argued that discrepant broad index scores invalidate IQs, but others have questioned the fundamental logic of that argument. To resolve this debate, the present study used a nationally representative sample of children (N = 1,200) who were matched individually for IQ. Children with significantly uneven broad index score…
Descriptors: Validity, Scores, Measures (Individuals), Intelligence
Collins, Kathleen M. T.; Onwuegbuzie, Anthony J.; Jiao, Qun G. – Journal of Mixed Methods Research, 2007
A sequential design utilizing identical samples was used to classify mixed methods studies via a two-dimensional model, wherein sampling designs were grouped according to the time orientation of each study's components and the relationship of the qualitative and quantitative samples. A quantitative analysis of 121 studies representing nine fields…
Descriptors: Sampling, Sample Size, Generalization, Qualitative Research
Feinberg, Mark E.; Gomez, Brendan J.; Puddy, Richard W.; Greenberg, Mark T. – Health Education & Behavior, 2008
Community coalitions (CCs) have labored with some difficulty to demonstrate empirical evidence of effectiveness in preventing a wide range of adolescent problem behaviors. Training and technical assistance (TA) have been identified as important elements in promoting improved functioning of CCs. A reliable, valid, and inexpensive method to assess…
Descriptors: Prevention, Construct Validity, Risk, Questionnaires

Maxwell, Scott E.; Delaney, Harold D. – Psychological Bulletin, 1985
Uses principles of latent trait theory to derive conditions under which mean differences between groups on an observed variable are in fact indicative of mean differences on an underlying construct. Pays particular attention to the logistic curve as a model for describing the relation between the observed variable and the construct. (Author/CB)
Descriptors: Item Analysis, Latent Trait Theory, Psychometrics, Statistical Analysis