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| Multivariate Behavioral… | 14 |
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| Bagozzi, Richard P. | 1 |
| Borg, Ingwer | 1 |
| Butler, John K. | 1 |
| Eiting, Mindert H. | 1 |
| Ferrando, Pere J. | 1 |
| Ford, David L. | 1 |
| Gerbing, David W. | 1 |
| Grote, Gudela F. | 1 |
| Herk, Hester van | 1 |
| Hoyle, Rick H. | 1 |
| Huba, G. J. | 1 |
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| Journal Articles | 13 |
| Reports - Research | 10 |
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| Beck Depression Inventory | 1 |
| Center for Epidemiologic… | 1 |
| NEO Personality Inventory | 1 |
| Sixteen Personality Factor… | 1 |
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What Works Clearinghouse Rating
Peer reviewedFord, David L.; And Others – Multivariate Behavioral Research, 1978
Econometric techniques for estimating the parameters of individual and group multi-attribute utility models are discussed. These techniques permit measurement of intra-and inter-individual heterogeneity with regard to the importance ascribed to the model attributes. (Author/JKS)
Descriptors: Economic Research, Higher Education, Individual Characteristics, Mathematical Models
Peer reviewedMurphy, Kevin R. – Multivariate Behavioral Research, 1982
When either regression models or subjectively-weighted models are used as aids in making placement decisions, the discriminant validity of these models is questioned. The validity of several regression models and of subjectively weighted models was investigated in two experiments. (Author/JKS)
Descriptors: College Admission, Discriminant Analysis, Higher Education, Mathematical Models
Peer reviewedHoyle, Rick H.; Lennox, Richard D. – Multivariate Behavioral Research, 1991
The latent structure of the Self-Monitoring Scale of M. Snyder (1974) is evaluated by comparing several measurement models suggested by previous factor analysis of the scale using sample data from 1,113 college students. Implications of results are discussed in relation to self-monitoring and the use of factor analysis. (SLD)
Descriptors: College Students, Factor Analysis, Factor Structure, Higher Education
Peer reviewedButler, John K.; Womer, Norman Keith – Multivariate Behavioral Research, 1985
The study tests the appropriateness of multiplicative versus additive expectancy-valency models for grouping motivational force decisions of 82 undergraduate students. Arguments are offered favoring a non-nested regression models analysis over a traditional hierarchical analysis of nested regression models. Discriminant analysis indicated one of…
Descriptors: Cognitive Ability, Decision Making, Higher Education, Mathematical Models
Peer reviewedBorg, Ingwer; Staufenbiel, Thomas – Multivariate Behavioral Research, 1992
The representation of multivariate data by icons is discussed. The factorial sun is suggested as superior to the commonly used snowflake or sun icons and as better representing the values of the different variables and their correlational structure. Two experiments with 60 college students demonstrate the factorial sun's superiority. (SLD)
Descriptors: College Students, Comparative Analysis, Computer Oriented Programs, Correlation
Peer reviewedGerbing, David W.; Tuley, Michael R. – Multivariate Behavioral Research, 1991
The Sixteen Personality Factor Inventory (16PF) was examined concerning recent methodological and substantive developments: restricted (confirmatory) factor analysis, and the five-factor model of personality as operationalized in the NEO-Personality Inventory. Two studies with 645 college students show that the 16PF remains robust in light of…
Descriptors: Affective Measures, College Students, Comparative Testing, Higher Education
Peer reviewedBagozzi, Richard P.; Warshaw, Paul R. – Multivariate Behavioral Research, 1992
The nature of the attitude-behavior relation was investigated through the use of structural equation models in a cross-lagged panel design involving 254 undergraduates reacting to 2 kinds of goal-directed behaviors. Results suggest that intentions, and to a lesser extent attitudes, are dependent on behavior and not the reverse. (SLD)
Descriptors: Behavior Patterns, Etiology, Higher Education, Intention
Peer reviewedEiting, Mindert H.; Mellenbergh, Gideon J. – Multivariate Behavioral Research, 1980
Using reasonable values for the parameters in both null and alternative hypotheses about covariance matrices, an optimal and feasible combination of number of subjects, significance level, and power of the test were determined for an empirical study of the measurement of musical ability. (Author/BW)
Descriptors: Education Majors, Foreign Countries, Higher Education, Hypothesis Testing
Peer reviewedTanaka, J. S.; Huba, G. J. – Multivariate Behavioral Research, 1987
Two approaches are used to assess the one-month stability of depression affect in college students: (1) a high retest correlation is demonstrated for a latent depressive affect construct using self-reports from the previous month; and (2) predictive validity of depressive categorization is examined using logistic regression techniques. (Author/LMO)
Descriptors: Affective Measures, College Students, Depression (Psychology), Higher Education
Peer reviewedFerrando, Pere J. – Multivariate Behavioral Research, 1996
The usefulness of the confirmatory factor analysis model of D. Sorbom (1974) to estimate invariant difficulty and discrimination item parameters on a personality scale was supported in a study using responses of 834 undergraduates to the Social Worry Scale of the Anxious Thoughts Inventory (A. Wells, 1994). (SLD)
Descriptors: Anxiety, Difficulty Level, Estimation (Mathematics), Higher Education
Peer reviewedReddy, Srinivas K.; LaBarbera, Priscilla A. – Multivariate Behavioral Research, 1985
The application and use of hierarchical models is illustrated, using the example of the structure of attitudes toward a new product and a print advertisement. Subjects were college students who responded to seven-point bipolar scales. Hierarchical models were better than nonhierarchical models in conceptualizing attitude but not intention. (GDC)
Descriptors: Advertising, Affective Measures, Attitude Measures, Attitudes
Peer reviewedKloot, Willem A. van der; Herk, Hester van – Multivariate Behavioral Research, 1991
Two sets of real sorting data from 50 college students are used to compare results of multidimensional scaling of raw co-occurrence frequencies or dissimilarity measures (D) and profile distances (delta) to determine which yields a better representation of the underlying structure of 2 sets of stimuli. Slight differences are discussed. (SLD)
Descriptors: Classification, Cognitive Processes, College Students, Comparative Analysis
Peer reviewedLeutner, Detlev; Weinsier, Philip D. – Multivariate Behavioral Research, 1991
An interest questionnaire with 72 university course descriptions based on a facet design was used to determine whether computer anxiety or computer disinterest was related to interest in or willingness to take selected courses of 200 Belgian and German students. Analysis of variance supports conclusions from the multidimensional scalings. (SLD)
Descriptors: Analysis of Variance, College Students, Computer Literacy, Course Selection (Students)
Peer reviewedGrote, Gudela F.; James, Lawrence R. – Multivariate Behavioral Research, 1991
Validity evidence for a new instrument, the Situation-Response Measure of Achievement Motivation for analyzing cross-situational consistency of achievement-related behavior, is presented in a study of 246 college students. Exploratory factor analysis indicates the presence of two factors, striving and apprehensiveness. (SLD)
Descriptors: Academic Achievement, Achievement Need, Behavior Patterns, Coherence


