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The Campbellian Construct Validity: Some Comments
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Thorleif Lund – Scandinavian Journal of Educational Research, 2025
The purpose of this paper is to elaborate and comment on some themes related to construct validity, construct choice, and construct respecification in the Campbellian validity system. It is argued that Reichardt's [(2008, November). An alternative to the Campbellian conceptualization of validity. (Paper presentation). Evaluation 2008 Conference,…
Descriptors: Construct Validity, Statistical Analysis, Influences, Research Design
Conceptual Replications, Research, and the "What Works" Agenda in Education
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Morrison, Keith – Educational Research and Evaluation, 2022
Conceptual replications have received increased coverage in the educational research agenda. This article argues for clarity in, and justification of, the definition, scope, and boundaries of a conceptual replication and what it can and cannot do. It argues for clear justifications when changing components from those of the original study. The…
Descriptors: Replication (Evaluation), Educational Research, Construct Validity, Generalizability Theory
Challenges in Building Usable Knowledge in Education
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Larry V. Hedges – Journal of Research on Educational Effectiveness, 2018
The scientific rigor of education research has improved dramatically since the year 2000. Much of the credit for this improvement is deserved by Institute of Education Sciences (IES) policies that helped create a demand for rigorous research; increased human capital capacity to carry out such work; provided funding for the work itself; and…
Descriptors: Educational Research, Generalization, Intervention, Human Capital
A Monte Carlo Study of Parallel Analysis, Minimum Average Partial, Indicator Function, and Modified Average Roots for Determining the Number of Dimensions with Binary Variables in Test Data: Impact of Sample Size and Factor Structure
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Pornchanok Ruengvirayudh – ProQuest LLC, 2018
Determining the number of dimensions underlying many variables in the data or many items in the test is a crucial process prior to performing exploratory factor analysis. Failure to do so leads to serious consequences concerning construct validity. Parallel analysis (PA) has been found to be useful to determine the number of dimensions (i.e.,…
Descriptors: Monte Carlo Methods, Tests, Data, Sample Size
Challenges in Building Usable Knowledge in Education
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Larry V. Hedges – Grantee Submission, 2017
The scientific rigor of education research has improved dramatically since the year 2000. Much of the credit for this improvement is deserved by Institute of Education Sciences (IES) policies that helped create a demand for rigorous research; increased human capital capacity to carry out such work; provided funding for the work itself; and…
Descriptors: Educational Research, Generalization, Intervention, Human Capital
The Handbook of Multilevel Theory, Measurement, and Analysis
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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