NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)0
Since 2006 (last 20 years)4
Audience
Researchers1
Location
California1
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing all 14 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Claeys, Joseph – Journal of Psychoeducational Assessment, 2013
The practice of individual assessment has been moving toward the empirically derived Cattell-Horn-Carroll (CHC) theory of intellectual ability, which offers a hierarchical taxonomy of cognitive abilities. Current assessment tools provide varying adherence to operationalizing CHC theory, making clinical inference difficult. Expert consensus…
Descriptors: Inferences, Intelligence Tests, Theories, Cognitive Ability
Chatman, Steve – Center for Studies in Higher Education, 2011
Using the example of responses from civil engineering students at a very highly ranked participating university, this guide demonstrates the importance of comparative data when using student questionnaire data for undergraduate academic program review. It also emphasizes the advantage of using factor structures for better questionnaire-based…
Descriptors: Research Universities, Student Surveys, Civil Engineering, Student Experience
Peer reviewed Peer reviewed
Direct linkDirect link
DiStefano, Christine; Zhu, Min; Mindrila, Diana – Practical Assessment, Research & Evaluation, 2009
Following an exploratory factor analysis, factor scores may be computed and used in subsequent analyses. Factor scores are composite variables which provide information about an individual's placement on the factor(s). This article discusses popular methods to create factor scores under two different classes: refined and non-refined. Strengths and…
Descriptors: Factor Structure, Factor Analysis, Researchers, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Young, John W. – Educational Assessment, 2009
In this article, I specify a conceptual framework for test validity research on content assessments taken by English language learners (ELLs) in U.S. schools in grades K-12. This framework is modeled after one previously delineated by Willingham et al. (1988), which was developed to guide research on students with disabilities. In this framework…
Descriptors: Test Validity, Evaluation Research, Achievement Tests, Elementary Secondary Education
Allal, Linda – 1986
This paper discusses the theoretical scope and practical applicability of generalizability (G) theory through the principle of symmetry. Major ideas are summarized and factors hindering applications of G theory in research conducted in French-speaking Europe are presented. The principle of symmetry affirms that any factor of a design can be…
Descriptors: Data Collection, Educational Research, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Markus, Keith A. – Structural Equation Modeling, 2000
Explores the four-step procedure for testing structural equation models and outlines some problems with the approach advocated by L. Hayduk and D. Glaser (2000) and S. Mulaik and R. Milsap (2000). Questions the idea that there is a "correct" number of constructs for a given phenomenon. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Peer reviewed Peer reviewed
Hayduk, Leslie A.; Glaser, Dale N. – Structural Equation Modeling, 2000
Focuses on the four-step method (four nested models) of structural equation modeling advocated by S. Mulaik (1997, 1998), discussing the limitations of the approach and considering the tests and criteria to be used in moving among the four steps. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Peer reviewed Peer reviewed
Mulaik, Stanley A.; Millsap, Roger E. – Structural Equation Modeling, 2000
Defends the four-step approach to structural equation modeling based on testing sequences of models and points out misunderstandings of opponents of the approach. The four-step approach allows the separation of respective constraints within a structural equation model. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Peer reviewed Peer reviewed
Bollen, Kenneth A. – Structural Equation Modeling, 2000
Neither the four-step model nor the one-step procedure can actually tell whether the researcher has the right number of factors in structural equation modeling. In fact, for reasons discussed, a simple formulaic approach to the correct specification of models does not yet exist. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Peer reviewed Peer reviewed
Herting, Jerald R.; Costner, Herbert L. – Structural Equation Modeling, 2000
Examines some positions in various arguments related to the proper number of factors and proper number of steps when using structural equation models. Defines the issue in estimating structural equation models as a problem of specifying a model appropriately based on theoretical concerns and then diagnosing ills in the model as well as possible.…
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models
Evans, Victoria P. – 1999
The central objective of factor analysis is to explain the greatest amount of variance in a data set with the smallest number of factors. Higher-order analysis is an invaluable tool that offers the benefit of parsimony provided by first-order analysis with the opportunity to make data-based generalizations beyond the first-order. Higher-order…
Descriptors: Computer Software, Factor Analysis, Factor Structure, Social Science Research
Peer reviewed Peer reviewed
Bentler, Peter M. – Structural Equation Modeling, 2000
Discusses issues related to model evaluation in structural equation modeling. Supports nested model comparisons via sequential chi-square difference tests as consistent with the four-step approach to model evaluation when models of the factor analytic simultaneous equation type are entertained. (Author/SLD)
Descriptors: Chi Square, Evaluation Methods, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Direct linkDirect link
Prescott, David P. – Journal of Child Sexual Abuse, 2004
Clinicians and other professionals evaluating, managing, and treating sexually abusive youth are frequently called upon to offer judgments regarding risk for sexual reoffense. There are currently no empirically validated methods for accurately classifying risk among this population. Therefore, those faced with this task have an obligation to…
Descriptors: Sexual Abuse, Youth, Risk, Recidivism
Volkan, Kevin – 1989
The latent structure, reliability, and item discrimination of 33 items on a Centers for Disease Control (CDC) instrument representing knowledge, attitudes, and beliefs about the acquired immune deficiency syndrome (AIDS) were assessed. The study sample included 311 adolescents ranging from ages 12 to 19 years. Demographic characteristics of the…
Descriptors: Acquired Immune Deficiency Syndrome, Adolescents, At Risk Persons, Attitude Measures