Digital technologies play an important role in our daily lives. Smartphones and tablet computers are very common worldwide and are available for everybody from a very early age. This trend offers the opportunity to track digital usage data for psychological and educational research purposes. The current paper introduces two research projects, the…

The "p"-median clustering model represents a combinatorial approach to partition data sets into disjoint, nonhierarchical groups. Object classes are constructed around "exemplars", that is, manifest objects in the data set, with the remaining instances assigned to their closest cluster centers. Effective, state-of-the-art implementations of…

The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are…

This paper describes a novel methodology for the detection of speech patterns. Lagged co-occurrence analysis (LCA) utilizes the likelihood that a target word will be uttered in a certain position after a trigger word. Using this methodology, it is possible to uncover a statistically significant repetitive temporal patterns of word use, compared to…

A computer program is described which provides comprehensive information on test profile differences among independent groups based upon profile centroid separation, shape, elevation, and scatter. Descriptive statistics, univariate and multivariate measures of strength of association, test of homogeneity of covariance matrices, and comparative…

Bootstrap analysis, both for nonparametric statistical inference and for describing sample results stability and replicability, has been gaining prominence among quantitative researchers in educational and psychological research. Procedurally, however, it is often quite a challenge for quantitative researchers to implement bootstrap analysis in…

A well-known problem in the analysis of test and questionnaire data is that some item scores may be missing. Advanced methods for the imputation of missing data are available, such as multiple imputation under the multivariate normal model and imputation under the saturated logistic model (Schafer, 1997). Accompanying software was made available…

Compares teaching observational research using a lecture format to using a software program called Courseware for Observational Research (COR). Finds that the COR-instructed class obtained a mean score of 78% on the examination, earned higher grades on the research reports, and rated the usefulness of conducting research more highly than the…

Characterizes gap between potential of computers in education and their performance in classrooms; documents differential participation of males and females in computer experiences and discusses contributory factors; describes two studies of how males and females respond to computer learning environments; and suggests actions to foster equitable…

This book has been designed to assist researchers in the social sciences and education fields who are interested in learning how information technologies can help them successfully navigate the research process. Most researchers are familiar with the use of programs like SPSS to analyze data, but many are not aware of other ways information…