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Thompson, Bruce; Pitts, Murray C. – 1982
The author contends that model misspecification can occur even after researchers have selected the generally most appropriate class of methods, or general linear model techniques. It is suggested specifically that canonical correlation analysis may provide more meaningful results, as compared with regression, particularly if analysis is augmented…
Descriptors: Correlation, Data Analysis, Evaluation Criteria, Mathematical Models
Dumas, Wayne – Soc Educ, 1969
Descriptors: Divergent Thinking, History Instruction, Instructional Innovation, Multivariate Analysis
Timm, Neil H.; Carlson, James E. – 1975
Part and bi-partial canonical correlations were developed by extending the definitions of part and bi-partial correlation to sets of variates. These coefficients may be used to help researchers explore relationships which exist among several sets of normally distributed variates. (Author)
Descriptors: Computer Programs, Correlation, Data Analysis, Hypothesis Testing
Peer reviewedBell, Robert A. – Communication Monographs, 1986
Clarifies the nature of communication avoidance through a structural analysis grounded in facet theory. Presents evidence for a duplex model of avoidance in which theoretical distinctions among modalities of approach-avoidance and context proved empirically relevant. Discusses implications of these findings for the explication, treatment, and…
Descriptors: Behavior Patterns, Cognitive Processes, Communication Apprehension, Communication Problems
Peer reviewedKerwin, Mary Louise E.; And Others – Counseling Psychologist, 1987
Describes the strengths and weaknesses of a new type of multivariate technique, covariance structure analysis (LISREL). Provides a detailed example which shows how the use of covariance structure analysis can improve research sophistication and theory development in counseling psychology. (Author/ABB)
Descriptors: Counseling, Multiple Regression Analysis, Multivariate Analysis, Psychology
Peer reviewedHaase, Richard F.; Ellis, Michael V. – Journal of Counseling Psychology, 1987
Provides an expository presentation of multivariate analysis (MANOVA). Addresses several questions relating to why one should use MANOVA, its structure, how MANOVA test statistics and follow-up tests are obtained and interpreted, presentation of results, and alternatives to MANOVA. Uses an example data set to illustrate these points. (Author/KS)
Descriptors: Analysis of Variance, Behavioral Science Research, Correlation, Multivariate Analysis
Peer reviewedReddon, John R.; And Others – Journal of Educational Statistics, 1985
Computer sampling from a multivariate normal spherical population was used to evaluate the type one error rates for a test of sphericity based on the distribution of the determinant of the sample correlation matrix. (Author/LMO)
Descriptors: Computer Simulation, Correlation, Error of Measurement, Matrices
Peer reviewedHunsley, John – Journal of Educational Psychology, 1985
The impact of test anxiety on test performance and the cognitive appraisals of test-anxious students were explored. The pattern of students' anxiety and appraisals suggests that test-anxious students experience most doubt and concern in the term. (Author/LMO)
Descriptors: Academic Achievement, Correlation, Higher Education, Multivariate Analysis
Peer reviewedLong, Bonita C.; And Others – Evaluation and Program Planning, 1986
A needs assessment was conducted to identify the health needs of school district employees in planning a comprehensive employee health service. Survey questionnaires were analyzed to determine characteristics of those individuals who may be at greatest health risk. Results indicate that degree of stress can differentiate health risk predictors.…
Descriptors: Health Needs, Multivariate Analysis, Needs Assessment, Predictor Variables
Peer reviewedMoran, James D., III – Home Economics Research Journal, 1986
Describes the appropriate control of experiment-wise error rates and the researcher's role in making decisions to control for Type 1 errors. Issues related to level of significance, one- versus two-tailed tests, and the use of multivariate statistics are included. (Author/CT)
Descriptors: Decision Making, Error of Measurement, Multivariate Analysis, Research Methodology
Peer reviewedThompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1985
Multiple regression analysis is frequently being employed in experimental and non-experimental research. However, when data include predictor variables that are correlated, some regression results can become difficult to interpret. This paper presents a study to provide a demonstration that structure coefficients may be useful in these cases.…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
Peer reviewedChew, Alex L.; Morris, John D. – Educational and Psychological Measurement, 1984
The validity of the Lollipop Test: A Diagnostic Screening Test of School Readiness was examined using the Metropolitan Readiness Test (MRT), Level I, Form Q, as the criterion. Appreciable concurrent validity was found across test batteries. Implications for school readiness screening are discussed. (Author/BS)
Descriptors: Correlation, Individual Testing, Kindergarten Children, Multivariate Analysis
Peer reviewedLiu, Richard; Sanders, Jack – Research in Higher Education, 1984
A simplified example of a technique, conceived by Yates and later developed by Goodman and Haberman, for the determination of appropriate log-models in the measurement of qualitative data in higher education is presented. (Author/MLW)
Descriptors: Data Analysis, Educational Quality, Higher Education, Models
Peer reviewedEstabrook, Graydon E. – Journal of Educational Psychology, 1984
Three significant canonical correlations were obtained from the analysis of the Wechsler Intelligence Scale for Children-Revised (WISC-R) and the Woodcock-Johnson Tests of Cognitive Ability (WJTCA) to examine test overlap with a sample of suspected learning disabled children. Results indicate a substantial portion of the variance is independent.…
Descriptors: Cognitive Tests, Elementary Education, Factor Structure, Learning Disabilities
Peer reviewedReynolds, Cecil R.; Paget, Kathleen D. – School Psychology Review, 1983
To develop normative data for the revision of the Children's Manifest Anxiety Scale, the scale was administered to 4,972 children, ages 6 to 19 years, representing all geographic regions of the United States. Reliability was satisfactory for all groups except Black females below age 12 years. (Author/BW)
Descriptors: Affective Measures, Anxiety, Elementary Secondary Education, Multivariate Analysis


