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Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg – International Journal of Behavioral Development, 2023
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…
Descriptors: Individual Development, Factor Analysis, Statistical Analysis, Structural Equation Models
Tan, Teck Kiang – Practical Assessment, Research & Evaluation, 2023
Researchers often have hypotheses concerning the state of affairs in the population from which they sampled their data to compare group means. The classical frequentist approach provides one way of carrying out hypothesis testing using ANOVA to state the null hypothesis that there is no difference in the means and proceed with multiple comparisons…
Descriptors: Comparative Analysis, Hypothesis Testing, Statistical Analysis, Guidelines
Raykov, Tenko; Pusic, Martin – Educational and Psychological Measurement, 2023
This note is concerned with evaluation of location parameters for polytomous items in multiple-component measuring instruments. A point and interval estimation procedure for these parameters is outlined that is developed within the framework of latent variable modeling. The method permits educational, behavioral, biomedical, and marketing…
Descriptors: Item Analysis, Measurement Techniques, Computer Software, Intervals
Raykov, Tenko; Marcoulides, George A.; Harrison, Michael – Measurement: Interdisciplinary Research and Perspectives, 2019
Utilizing the perspective of finite mixture modeling, this note considers whether a finding of a plausible one-parameter logistic model could be spurious for a population with substantial unobserved heterogeneity. A theoretically and empirically important setting is discussed involving the mixture of two latent classes, with the less restrictive…
Descriptors: Models, Evaluation Methods, Social Science Research, Statistical Analysis
Akdere, Mesut; Jiang, Yeling; Lobo, Flavio Destri – European Journal of Training and Development, 2022
Purpose: As new technologies such as immersive and augmented platforms emerge, training approaches are also transforming. The virtual reality (VR) platform provides a completely immersive learning experience for simulated training. Despite increased prevalence of these technologies, the extent literature is lagging behind in terms of evaluating…
Descriptors: Training, Computer Simulation, Educational Technology, Program Evaluation
Jacob M. Schauer; Kaitlyn G. Fitzgerald; Sarah Peko-Spicer; Mena C. R. Whalen; Rrita Zejnullahi; Larry V. Hedges – Grantee Submission, 2021
Several programs of research have sought to assess the replicability of scientific findings in different fields, including economics and psychology. These programs attempt to replicate several findings and use the results to say something about large-scale patterns of replicability in a field. However, little work has been done to understand the…
Descriptors: Statistical Analysis, Research Methodology, Evaluation Methods, Replication (Evaluation)
Mau, Steffen – International Studies in Sociology of Education, 2020
The process of quantification is a powerful development shaping many domains of life today. In the area of education, for example, performance measurement, testing and ranking have become common tools of governance. Quantification is not a neutral way of describing society, but a process of valorisation. It has three sociologically relevant…
Descriptors: Statistical Analysis, Social Influences, Research Methodology, Evaluation Methods
Soria, Krista M. – New Directions for Student Services, 2018
This chapter analyzes the various ways social class identity has been measured among undergraduate students. Implications of social class definitions and measurement for student affairs practitioners also are discussed.
Descriptors: Statistical Analysis, Evaluation Methods, Social Class, Identification (Psychology)
King, Julian – American Journal of Evaluation, 2017
As evaluators, we are often asked to determine whether policies and programs provide value for the resources invested. Addressing that question can be a quandary, and, in some cases, evaluators question whether cost-benefit analysis is fit for this purpose. With increased interest globally in social enterprise, impact investing, and social impact…
Descriptors: Evaluation Methods, Economic Research, Cost Effectiveness, Resource Allocation
Cousineau, Denis; Laurencelle, Louis – Educational and Psychological Measurement, 2017
Assessing global interrater agreement is difficult as most published indices are affected by the presence of mixtures of agreements and disagreements. A previously proposed method was shown to be specifically sensitive to global agreement, excluding mixtures, but also negatively biased. Here, we propose two alternatives in an attempt to find what…
Descriptors: Interrater Reliability, Evaluation Methods, Statistical Bias, Accuracy
Riley, Barbara L.; Kernoghan, Alison; Stockton, Lisa; Montague, Steve; Yessis, Jennifer; Willis, Cameron D. – Research Evaluation, 2018
Assessing societal impacts of research is more difficult than assessing advances in knowledge. Methods to evaluate research impact on policy processes and outcomes are especially underdeveloped, and are needed to optimize the influence of research on policy for addressing complex issues such as chronic diseases. Contribution analysis (CA), a…
Descriptors: Foreign Countries, Evaluation Methods, Public Health, Research and Development Centers
Henman, Paul; Brown, Scott D.; Dennis, Simon – Australian Universities' Review, 2017
In 2015, the Australian Government's Excellence in Research for Australia (ERA) assessment of research quality declined to rate 1.5 per cent of submissions from universities. The public debate focused on practices of gaming or "coding errors" within university submissions as the reason for this outcome. The issue was about the…
Descriptors: Rating Scales, Foreign Countries, Universities, Achievement Rating
Alexander, Hanan A. – Ethics and Education, 2016
How should we assess programs dedicated to education in virtue? One influential answer draws on quantitative research designs. By measuring the inputs and processes that produce the highest levels of virtue among participants according to some reasonable criterion, in this view, we can determine which programs engender the most desired results.…
Descriptors: Ethics, Moral Values, Moral Development, Statistical Analysis
Solomon, Benjamin G.; Howard, Taylor K.; Stein, Brit'ny L. – Journal of Behavioral Education, 2015
The use of single-case effect sizes (SCESs) has increased in the intervention literature. Meta-analyses based on single-case data have also increased in popularity. However, few researchers who have adopted these metrics have provided an adequate rationale for their selection. We review several important statistical assumptions that should be…
Descriptors: Effect Size, Intervention, Statistical Analysis, Evaluation Methods
Knowlton, Steven A. – College & Research Libraries, 2016
Librarians often wish to know whether readers in a particular discipline favor e-books or print books. Because print circulation and e-book usage statistics are not directly comparable, it can be hard to determine the relative interest of readers in the two types of books. This study demonstrates a two-step method by which librarians can assess…
Descriptors: Librarians, Electronic Publishing, Printed Materials, Books