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Kammeyer-Mueller, John; Steel, Piers D. G.; Rubenstein, Alex – Multivariate Behavioral Research, 2010
Common source bias has been the focus of much attention. To minimize the problem, researchers have sometimes been advised to take measurements of predictors from one observer and measurements of outcomes from another observer or to use separate occasions of measurement. We propose that these efforts to eliminate biases due to common source…
Descriptors: Statistical Bias, Predictor Variables, Measurement, Data Collection
Giordano, Bruno L.; Guastavino, Catherine; Murphy, Emma; Ogg, Mattson; Smith, Bennett K.; McAdams, Stephen – Multivariate Behavioral Research, 2011
Sorting procedures are frequently adopted as an alternative to dissimilarity ratings to measure the dissimilarity of large sets of stimuli in a comparatively short time. However, systematic empirical research on the consequences of this experiment-design choice is lacking. We carried out a behavioral experiment to assess the extent to which…
Descriptors: Auditory Stimuli, Acoustics, Data Collection, Research Methodology
Jamshidian, Mortaza; Mata, Matthew – Multivariate Behavioral Research, 2008
Incomplete or missing data is a common problem in almost all areas of empirical research. It is well known that simple and ad hoc methods such as complete case analysis or mean imputation can lead to biased and/or inefficient estimates. The method of maximum likelihood works well; however, when the missing data mechanism is not one of missing…
Descriptors: Structural Equation Models, Simulation, Factor Analysis, Research Methodology
Kamakura, Wagner A. – Multivariate Behavioral Research, 2009
Time-use has already been the subject of numerous studies across multiple disciplines such as economics, marketing, sociology, transportation and urban planning. However, most of this research has focused on comparing demographic groups on a few broadly defined activities (e.g., work for pay, leisure, housework, etc.). In this study we take a…
Descriptors: Research Methodology, Time Management, Holistic Approach, Data Collection

Wiley, James B.; And Others – Multivariate Behavioral Research, 1984
The advantages and disadvantages of balanced incomplete block designs are clarified and their use is demonstrated with an empirical example. A procedure for reducing data of this type to analyzable form is proposed, and an analytical approach that is appropriate for the resulting data is illustrated. (Author/BW)
Descriptors: Behavioral Science Research, Data Analysis, Data Collection, Research Design

Krolak-Schwerdt, Sabine; Eckes, Thomas – Multivariate Behavioral Research, 1992
Procedures for determining the number of clusters in a data set are explored. A proposed stopping rule, the GRAPH criterion, is compared to four stopping rules currently in use. The GRAPH criterion's mathematically attractive properties and utility in solving the number-of-clusters problem are demonstrated. (SLD)
Descriptors: Cluster Analysis, Data Collection, Equations (Mathematics), Evaluation Criteria

Buss, Allan R. – Multivariate Behavioral Research, 1975
The procedures involve a planned data gathering strategy consisting of at least two different groups, each receiving two different test batteries. A combination of Tucker's interbattery technique and congruence measures was the recommended strategy. Limitations of the concept of factor invariance are briefly discussed. (Author/BJG)
Descriptors: Comparative Analysis, Data Collection, Factor Analysis, Measurement Techniques

Graham, John W.; And Others – Multivariate Behavioral Research, 1996
The utility of the three-form design coupled with maximum likelihood methods for estimation of missing values was evaluated. Simulation studies demonstrate that maximum likelihood estimation and multiple imputation methods produce the most efficient and least biased estimates of variances and covariances for normally distributed and slightly…
Descriptors: Data Collection, Estimation (Mathematics), Maximum Likelihood Statistics, Research Design
de Rooij, Mark; Kroonenberg, Pieter M. – Multivariate Behavioral Research, 2003
The analysis of discrete dyadic sequential behavior and, in particular, the problem of forecasting future behavior from current and past behavior in such data is the main theme of the present article. We propose to use multivariate multinomial logit models and the potential of which will be demonstrated with data on Imagery play therapy. In such a…
Descriptors: Therapy, Play, Play Therapy, Enrollment Influences

Rosenberg, Seymour; Kim, Moonja Park – Multivariate Behavioral Research, 1975
Compares two basic variants of the sorting method: single-sort and multiple sort. The nature of individual differences in sorting, as well as sex differences, were also investigated. Stimulus materials were the 15 mutually exclusive kinship terms selected by Wallace and Atkins (1960). (RC)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Students

Miller, Donald M.; And Others – Multivariate Behavioral Research, 1986
Two techniques compose a new methodology for studying certain classes of qualitative information: the F-sort task for data collection and latent partition analysis for data summarization. A detailed presentation is given of its application to a study of teacher's views of facilitating student learning in the classroom. (Author/LMO)
Descriptors: Classification, Concept Formation, Data Collection, Elementary Secondary Education

Neale, Michael C.; And Others – Multivariate Behavioral Research, 1994
In studies of relatives, conventional multiple regression may not be appropriate because observations are not independent. Obtaining estimates of regression coefficients and correct standard errors from these populations through a structural equation modeling framework is discussed and illustrated with data from twins. (SLD)
Descriptors: Analysis of Covariance, Causal Models, Data Collection, Error of Measurement