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Rhemtulla, Mijke; Jia, Fan; Wu, Wei; Little, Todd D. – International Journal of Behavioral Development, 2014
We examine the performance of planned missing (PM) designs for correlated latent growth curve models. Using simulated data from a model where latent growth curves are fitted to two constructs over five time points, we apply three kinds of planned missingness. The first is item-level planned missingness using a three-form design at each wave such…
Descriptors: Data Analysis, Error of Measurement, Models, Longitudinal Studies
Lang, Kyle M.; Little, Todd D. – International Journal of Behavioral Development, 2014
We present a new paradigm that allows simplified testing of multiparameter hypotheses in the presence of incomplete data. The proposed technique is a straight-forward procedure that combines the benefits of two powerful data analytic tools: multiple imputation and nested-model ?2 difference testing. A Monte Carlo simulation study was conducted to…
Descriptors: Hypothesis Testing, Data Analysis, Error of Measurement, Computation
Keaton, Shaughan A.; Bodie, Graham D. – International Journal of Listening, 2013
This article investigates the quality of social scientific listening research that reports numerical data to substantiate claims appearing in the "International Journal of Listening" between 1987 and 2011. Of the 225 published articles, 100 included one or more studies reporting numerical data. We frame our results in terms of eight…
Descriptors: Periodicals, Journal Articles, Listening, Social Science Research

Kashy, Deborah A.; Snyder, Douglas K. – Psychological Assessment, 1995
Research with couples requires measurement and data analytic techniques extending beyond those typically used with individuals. Measurement issues in couples' research that influence subsequent approaches to data analysis are reviewed, with emphasis on issues of nonindependence in couples' data. Univariate and multivariate analyses of…
Descriptors: Correlation, Data Analysis, Experiments, Measurement Techniques
Henington, Carlen – 1994
It has been increasingly realized that (1) multivariate methods are essential in most quantitative studies (Fish, 1988; Thompson, 1992), and (2) all conventional parametric analytic methods are correlational and invoke least squares weights (e.g., the beta weights in regression) (Knapp, 1978; Thompson, 1991). The present paper reviews one very…
Descriptors: Correlation, Least Squares Statistics, Measurement Techniques, Multivariate Analysis
McLean, James E.; Chissom, Brad S. – 1986
The term "ipsative" refers to measurement based on intra-individual comparisons. The research literature in the social sciences contains many cautions about using ipsative data in multivariate analysis. The purpose of this paper is to identify the problems associated with the multivariate and regression analyses of ipsative data and to…
Descriptors: Attitude Measures, Correlation, Error of Measurement, Factor Analysis

Wessels, Holger; Lamb, Michael E.; Hwang, Carl-Philip – European Journal of Psychology of Education, 1996
Illustrates problems facing researchers trying to demonstrate causal relationships between types of nonparental care and differences between groups of Swedish children. Argues that efforts must be made to validate and interpret differences that are found. Indicates ways to avoid misinterpretation of differences that are attributable to…
Descriptors: Causal Models, Child Development, Day Care, Educational Assessment
Thompson, Bruce – 1994
Dissertations are an important component of the effort to generate knowledge. Thus, dissertation quality may be seen by accreditation and coordinating-board reviewers as a noteworthy reflection on the quality of doctoral programs themselves. The present study reviews methodological errors within Ph.D. dissertations. The illustrative errors are…
Descriptors: Behavioral Science Research, Case Studies, Doctoral Dissertations, Error Patterns