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Mykota, David B. – Turkish Online Journal of Educational Technology - TOJET, 2015
The purpose of the present study is to conduct an external replication into the multi-dimensionality of social presence as measured by the Computer-Mediated Communication Questionnaire (Tu, 2005). Online social presence is one of the more important constructs for determining the level of interaction and effectiveness of learning in an online…
Descriptors: Multidimensional Scaling, Questionnaires, Computer Mediated Communication, Interaction
Tian, Lin; Guan, Yanjun; Chen, Sylvia Xiaohua; Levin, Nimrod; Cai, Zijun; Chen, Pei; Zhu, Chengfeng; Fu, Ruchunyi; Wang, Yang; Zhang, Shu – Journal of Career Development, 2014
Two studies were conducted to validate the Chinese version of the Career Decision-Making Profiles (CDMP) questionnaire, a multidimensional measure of the way individuals make career decisions. Results of Study 1 showed that after dropping 1 item from the original CDMP scale, the 11-factor structure was supported among Chinese college students (N =…
Descriptors: College Students, Predictive Validity, Career Development, Decision Making
Dik, Bryan J.; Eldridge, Brandy M.; Steger, Michael F.; Duffy, Ryan D. – Journal of Career Assessment, 2012
Research on work as a calling is limited by measurement concerns. In response, the authors introduce the multidimensional Calling and Vocation Questionnaire (CVQ) and the Brief Calling scale (BCS), instruments assessing presence of, and search for, a calling. Study 1 describes CVQ development using exploratory and confirmatory factor analysis…
Descriptors: Multitrait Multimethod Techniques, Construct Validity, Validity, Test Reliability
Klassen, Robert M.; Aldhafri, Said; Mansfield, Caroline F.; Purwanto, Edy; Siu, Angela F. Y.; Wong, Marina W.; Woods-McConney, Amanda – Journal of Experimental Education, 2012
This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…
Descriptors: Job Satisfaction, Factor Structure, Measures (Individuals), Factor Analysis
Cohen, Arie; Farley, Frank H. – 1974
Procedures for analyzing common item effects on interscale structure were reviewed and a study using smallest space analysis of the California Psychological Inventory (CPI) reported. Solutions of three matrices--intercorrelation matrix of the original CPI scales, of reduced scales (with common items removed), and of the number of common…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure
Korpi, Meg; Haertel, Edward – 1984
The purpose of this paper is to further the cause of clarifying construct interpretations of tests, by proposing that non-metric multidimensional scaling may be more useful than factor analysis or other latent structure models for investigating the internal structure of tests. It also suggests that typical problems associated with scaling…
Descriptors: Correlation, Factor Structure, Intermediate Grades, Item Analysis
Herrero, Juan; Gracia, Enrique – Journal of Community Psychology, 2007
Social support from intimate and confiding relationships has received a great deal of attention; however, the study of the community as a relevant source of support has been comparatively lacking. In this article, we present a multidimensional measure of community support (Perceived Community Support Questionnaire, PCSQ). Through exploratory and…
Descriptors: Community Involvement, Predictive Validity, Factor Structure, Measures (Individuals)

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
Doody, Evelyn N. – 1985
The effects of varying degrees of correlation between abilities and of various correlation configurations between item parameters on ability and item parameter estimation using the three parameter logistic model were examined. Ten two-trait configurations and one unidimensional test configuration for 30 item tests were simulated. Each…
Descriptors: Computer Simulation, Estimation (Mathematics), Factor Structure, Item Analysis
Bart, William M.; Airasian, Peter W. – 1976
The question of whether test factor structure is indicative of the test item hierarchy was examined. Data from 1,000 subjects on two sets of five bivalued Law School Admission Test items, which were analyzed with latent trait methods of Bock and Lieberman and of Christoffersson in Psychometrika, were analyzed with an ordering-theoretic method to…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure

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

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