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Velicer, Wayne F.; Brick, Leslie Ann D.; Fava, Joseph L.; Prochaska, James O. – Multivariate Behavioral Research, 2013
Testing Theory-based Quantitative Predictions (TTQP) represents an alternative to traditional Null Hypothesis Significance Testing (NHST) procedures and is more appropriate for theory testing. The theory generates explicit effect size predictions and these effect size estimates, with related confidence intervals, are used to test the predictions.…
Descriptors: Smoking, Statistical Significance, Confidence Testing, Effect Size
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Sinharay, Sandip; Puhan, Gautam; Haberman, Shelby J. – Multivariate Behavioral Research, 2010
Diagnostic scores are of increasing interest in educational testing due to their potential remedial and instructional benefit. Naturally, the number of educational tests that report diagnostic scores is on the rise, as are the number of research publications on such scores. This article provides a critical evaluation of diagnostic score reporting…
Descriptors: Educational Testing, Scores, Reports, Psychometrics
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Woods, Carol M. – Multivariate Behavioral Research, 2009
Gamma-family measures are bivariate ordinal correlation measures that form a family because they all reduce to Goodman and Kruskal's gamma in the absence of ties (1954). For several gamma-family indices, more than one variance estimator has been introduced. In previous research, the "consistent" variance estimator described by Cliff and…
Descriptors: Intervals, Computation, Evaluation, Simulation
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Lottridge, Susan M.; Nicewander, W. Alan; Mitzel, Howard C. – Multivariate Behavioral Research, 2011
This inquiry had 2 components: (1) the first was substantive and focused on the comparability of paper-based and computer-based test forms and (2) the second was a within-study comparison wherein a quasi-experimental method, propensity score matching, was compared with a credible benchmark method, a within-subjects design. The tests used in the…
Descriptors: Comparative Analysis, Probability, Scores, Statistical Analysis
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Krishnamoorthy, K.; Xia, Yanping – Multivariate Behavioral Research, 2008
The problems of hypothesis testing and interval estimation of the squared multiple correlation coefficient of a multivariate normal distribution are considered. It is shown that available one-sided tests are uniformly most powerful, and the one-sided confidence intervals are uniformly most accurate. An exact method of calculating sample size to…
Descriptors: Statistical Analysis, Intervals, Sample Size, Testing
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Malone, Patrick S.; Lamis, Dorian A.; Masyn, Katherine E.; Northrup, Thomas F. – Multivariate Behavioral Research, 2010
The gateway drug model is a popular conceptualization of a progression most substance users are hypothesized to follow as they try different legal and illegal drugs. Most forms of the gateway hypothesis are that "softer" drugs lead to "harder," illicit drugs. However, the gateway hypothesis has been notably difficult to…
Descriptors: Drug Use, Models, Statistical Analysis, Computer Software
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Preacher, Kristopher J.; Rucker, Derek D.; Hayes, Andrew F. – Multivariate Behavioral Research, 2007
This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disentangle conflicting definitions of moderated mediation and describe approaches for estimating and testing a variety of hypotheses involving conditional indirect effects. We…
Descriptors: Teaching Methods, Student Interests, Researchers, Intervals
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Lubke, Gitta; Neale, Michael – Multivariate Behavioral Research, 2008
Factor mixture models are latent variable models with categorical and continuous latent variables that can be used as a model-based approach to clustering. A previous article covered the results of a simulation study showing that in the absence of model violations, it is usually possible to choose the correct model when fitting a series of models…
Descriptors: Item Response Theory, Models, Likert Scales, Simulation
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Levy, Roy; Hancock, Gregory R. – Multivariate Behavioral Research, 2007
Although statistical procedures are well-known for comparing hierarchically related (nested) mean and covariance structure models, statistical tests for comparing non-hierarchically related (nonnested) models have proven more elusive. Although isolated attempts at statistical tests of non-hierarchically related models have been made, none exist…
Descriptors: Computation, Statistical Analysis, Comparative Testing, Models
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Ryu, Ehri; West, Stephen G.; Sousa, Karen H. – Multivariate Behavioral Research, 2009
We extended Wilson and Cleary's (1995) health-related quality of life model to examine the relationships among symptom status (Symptoms), functional health (Disability), and quality of life (QOL). Using a community sample (N = 956) of male HIV positive patients, we tested a mediation model in which the relationship between Symptoms and QOL is…
Descriptors: Quality of Life, Questionnaires, Patients, Symptoms (Individual Disorders)
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Woods, Carol M. – Multivariate Behavioral Research, 2009
Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for 1 group of people versus another, irrespective of mean differences on the construct. This study focuses on the use of multiple-indicator multiple-cause (MIMIC) structural equation models for DIF testing, parameterized as item…
Descriptors: Test Bias, Structural Equation Models, Item Response Theory, Testing
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Gottfredson, Nisha C.; Panter, A. T.; Daye, Charles E.; Allen, Walter F.; Wightman, Linda F. – Multivariate Behavioral Research, 2009
Controversy surrounding the use of race-conscious admissions can be partially resolved with improved empirical knowledge of the effects of racial diversity in educational settings. We use a national sample of law students nested in 64 law schools to test the complex and largely untested theory regarding the effects of educational diversity on…
Descriptors: Law Students, Race, Law Schools, Structural Equation Models
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Klein, Andreas G.; Muthen, Bengt O. – Multivariate Behavioral Research, 2007
In this article, a nonlinear structural equation model is introduced and a quasi-maximum likelihood method for simultaneous estimation and testing of multiple nonlinear effects is developed. The focus of the new methodology lies on efficiency, robustness, and computational practicability. Monte-Carlo studies indicate that the method is highly…
Descriptors: Structural Equation Models, Testing, Physical Fitness, Interaction
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Bouwmeester, Samantha; Sijtsma, Klaas – Multivariate Behavioral Research, 2007
Fuzzy trace theory posits that during development the use of verbatim information for solving transitive relationships shifts to the use of gist information. In cognitive developmental research that uses a cross-sectional design, the binomial mixture model is often used to identify such shifts. Because the binomial mixture model assumes equal task…
Descriptors: Item Response Theory, Developmental Psychology, Developmental Stages, Cognitive Development