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Palsdottir, Agusta – Information Research: An International Electronic Journal, 2008
Introduction: The aim of this study is to gather knowledge about how different groups of Icelanders take advantage of information about health and lifestyle in their everyday life. Method: A random sample of 1,000 people was used in the study and data was gathered as a postal survey. Response rate was 50.8%. Analysis: K-means cluster analysis was…
Descriptors: Self Efficacy, Multivariate Analysis, Information Seeking, Health Behavior
Peer reviewedLeary, Mark R.; Altmaier, Elizabeth Mitchell – Journal of Counseling Psychology, 1980
Examines the prevalence of inflated Type I error in counseling research and recommends wider use of multivariate statistics to correct the problem. Type I error becomes inflated beyond acceptable levels when researchers perform individual univariate statistics on each of several dependent variables within a single project. (Author)
Descriptors: Counseling, Error of Measurement, Multivariate Analysis, Research Methodology
Peer reviewedRode, Joseph C.; Near, Janet P. – Social Indicators Research
It is widely believed that work attitudes influence attitudes toward life overall. We investigated a multivariate model of work attitudes and overall life attitudes using survey data from two nationally representative (U.S.) data sets, one cross-sectional and one longitudinal. Including a comprehensive set of control variables, we found only weak…
Descriptors: Work Attitudes, Surveys, Longitudinal Studies, Attitudes
Peer reviewedTowstopiat, Olga – Contemporary Educational Psychology, 1984
The present article reviews the procedures that have been developed for measuring the reliability of human observers' judgments when making direct observations of behavior. These include the percentage of agreement, Cohen's Kappa, phi, and univariate and multivariate agreement measures that are based on quasi-equiprobability and quasi-independence…
Descriptors: Interrater Reliability, Mathematical Models, Multivariate Analysis, Observation
Peer reviewedPugh, Richard C.; Hu, Yuehluen – Journal of Educational Research, 1991
Reviews the use and interpretation of canonical correlation analysis in 1978-89 "Journal of Educational Research" articles. Wide variation in the use of terminology was found across 10 articles reporting 11 studies. Because supplementary analyses are now available, researchers are encouraged to use the model more fully when interpreting…
Descriptors: Educational Research, Literature Reviews, Multivariate Analysis, Research Methodology
Hughes, Honore M.; Humphrey, Natalie N.; Weaver, Terri L. – Journal of Interpersonal Violence, 2005
The most important things learned about violence and trauma in the past 20 years are that interpersonal violence is prevalent, with different forms co-occurring, and that victims' reactions are complex. Researchers are called to consider models that include the ecological context within which victims experience violence and trauma to gain a better…
Descriptors: Multivariate Analysis, Data Analysis, Family Violence, Structural Equation Models
Jones, Gail – 1989
Through a review of the literature, this paper explores the viability of the rotation of canonical correlation analysis results. The similarities and dissimilarities between factor analysis and canonical correlation analysis are examined. The logic supporting a preference for the rotation of structure coefficients as opposed to function…
Descriptors: Computer Software, Factor Analysis, Factor Structure, Literature Reviews
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 reviewedKrishnan, Parmeswara – Alberta Journal of Educational Research, 1995
Comments on some methodological limitations of the research base of "The Bell Curve": blind use of the normal distribution (bell curve); avoidance of nonnormal statistical distributions, which are more appropriate for some social and economic characteristics; copious use of percentiles and quintiles, inappropriate with nonnormal…
Descriptors: Data Interpretation, Intelligence Quotient, Multivariate Analysis, Research Methodology
Peer reviewedWidaman, Keith F. – Multivariate Behavioral Research, 1993
Across conditions, differences between population parameters defined by common factor analysis and component analysis are demonstrated. Implications for data analytic and theoretical issues related to choice of analytic model are discussed. Results suggest that principal components analysis should not be used to obtain parameters reflecting latent…
Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Factor Analysis
Arcury, Thomas A.; Preisser, John S.; Gesler, Wilbert M.; Powers, James M. – Journal of Rural Health, 2005
Access to transportation to transverse the large distances between residences and health services in rural settings is a necessity. However, little research has examined directly access to transportation in analyses of rural health care utilization. This analysis addresses the association of transportation and health care utilization in a rural…
Descriptors: Transportation, Health Services, Rural Areas, Multivariate Analysis
DuRapau, Theresa M. – 1988
The rationale behind analysis of variance (including analysis of covariance and multiple analyses of variance and covariance) methods is reviewed, and unplanned and planned methods of evaluating differences between means are briefly described. Two advantages of using planned or a priori tests over unplanned or post hoc tests are presented. In…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Error of Measurement
Stallings, William M. – 1985
In the educational research literature alpha, the a priori level of significance, and p, the a posteriori probability of obtaining a test statistic of at least a certain value when the null hypothesis is true, are often confused. Explanations for this confusion are offered. Paradoxically, alpha retains a prominent place in textbook discussions of…
Descriptors: Educational Research, Hypothesis Testing, Multivariate Analysis, Probability
Peer reviewedSclove, Stanley L. – Psychometrika, 1987
A review of model-selection criteria is presented, suggesting their similarities. Some problems treated by hypothesis tests may be more expeditiously treated by the application of model-selection criteria. Multivariate analysis, cluster analysis, and factor analysis are considered. (Author/GDC)
Descriptors: Cluster Analysis, Evaluation Criteria, Factor Analysis, Hypothesis Testing
Logan, Cassandra; Moore, Kristin; Manlove, Jennifer; Mincieli, Lisa; Cottingham, Sarah – Child Trends, 2007
This research brief presents the results of an extensive review of research studies to identify maternal and family antecedents (conditions and characteristics before and during pregnancy) of healthy infant and child outcomes. The researchers identified seven major categories of antecedents associated with a strong start in life: the mother's…
Descriptors: Mothers, Infants, Child Development, Correlation

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