Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11…

The present study makes a situation analysis of graduate theses on values education published between 1999 and 2015 in Turkey. It has a qualitative research design, wherein data is collected through document analysis. The form developed for this purpose is comprised of nine sections, each of which focuses on a different aspect: universities,…

A bibliometric approach was employed to analyze the research productivity and performance of creativity studies between 1965 and 2012. A dataset was constructed using all publications and citations retrieved from four key journals that publish creativity research: "Journal of Creative Behavior" ("JCB"), "Gifted Child…

This study reviews a selected sample of 274 research articles on ELT, published between 2005 and 2015 in Turkish contexts. In the study, 15 journals in ULAKBIM database and articles from national and international journals accessed according to convenience sampling method were surveyed and relevant articles were obtained. A content analysis was…

Reviews entities that can be factored, with emphasis on Q-technique analyses. Explains basic rationale for Q-technique factor analysis, offers guidelines regarding use of Q-technique factor analysis, presents studies to illustrate applications of Q-technique factor analysis, and discusses special considerations with regard to Q-technique factor…

The purpose of this meta-analysis was to quantify the relationship between the Five-Factor Model of personality and alcohol involvement and to identify moderators of the relationship. The meta-analysis included 20 studies, 119 effect sizes, and 7,886 participants. Possible moderators examined included: five-factor rating type (self vs. other);…

Two major and two minor principles are shown to serve to generate a large number of multivariate models, including canonical analysis, factor analysis, and latent trait test theory. The statistical underpinnings of the theory are discussed. (Author/JKS)

Describes multidimensional scaling and cluster analysis and the type of problems they can help solve. Cites major literature sources concerning their use. Reviews applications of these methods in rehabilitation research. Discusses possible advantages of nonmetric data-reduction techniques over metric approaches, such as factor analysis. (Author)

This introduction to the theory and application of multivariate analysis is designed to assist institutional researchers who are interested in using these techniques to analyze issues within their respective institutions. A brief introduction to multivariate theory, consisting of a rationale for multivariate statistics and an overview of selected…