NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Gierl, Mark J.; Leighton, Jacqueline P.; Tan, Xuan – Journal of Educational Measurement, 2006
DETECT, the acronym for Dimensionality Evaluation To Enumerate Contributing Traits, is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm ( Zhang & Stout, 1999). Because the clusters of items are mutually…
Descriptors: Program Evaluation, Cluster Grouping, Evaluation Methods, Multivariate Analysis
Ho, Andrew D.; Haertel, Edward H. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2006
Problems of scale typically arise when comparing test score trends, gaps, and gap trends across different tests. To overcome some of these difficulties, we can express the difference between the observed test performance of two groups with graphs or statistics that are metric-free (i.e., invariant under positive monotonic transformations of the…
Descriptors: Testing Programs, Test Results, Comparative Testing, Multidimensional Scaling
Peer reviewed Peer reviewed
Luborsky, Lester – Journal of Consulting and Clinical Psychology, 1995
Reexamines a 49-year-old study of P technique applied to a psychotherapy patient with a recurrent physical symptom. Explores dimensions of psychotherapeutic change as well as the context for the recurrent symptom. Illustrates the contributions from applying the P technique to psychotherapy research, to psychosomatic medicine, and to personality…
Descriptors: Clinical Psychology, Factor Analysis, Factor Structure, Item Analysis
Peer reviewed Peer reviewed
Kenny, David A.; Zautra, Alex – Journal of Consulting and Clinical Psychology, 1995
Describes a new approach for analyzing an individual's responses made at multiple times. Proposes that three sources of variance determine a person's current standing on a variable: trait (term does not change), state (term changes), and error (random term). Shows how structural equation modeling can be used and presents an extended example. (RJM)
Descriptors: Clinical Psychology, Factor Analysis, Factor Structure, Item Analysis
Peer reviewed Peer reviewed
Czogalik, Dietmar; Russell, Robert L. – Journal of Consulting and Clinical Psychology, 1995
Assigned factor scores to therapist and client utterances. Constructed a 17 x 17 correlation matrix consisting of correlations across 4 lagged utterances. Principal-components analysis revealed 4 therapist-client interaction factors: mutual therapeutic engagement, mutual therapeutic negotiation, undirected client reminiscence, and sustained…
Descriptors: Clinical Psychology, Counselor Client Relationship, Factor Analysis, Factor Structure
Sirotnik, Kenneth A. – 1979
This report contains accounts of studies, about scales to be used in the "A Study of Schooling" research project, undertaken to derive indices for constructs presumed to be measureable by composites of items. The report is introduced by a discussion on the rationale for selecting the research methodology used and an explanation of the…
Descriptors: Behavioral Science Research, Cluster Analysis, Cluster Grouping, Correlation