Steven R. Brown – författare

"Brown and Melamed's book is one of the best concise treatments of the design and analysis of experiments that I have seen. The authors begin by showing the significance of variability (variance) for the analysis of experiments, and clearly illustrate the utility of the analysis of variance (ANOVA) model to the analysis of experimental data. They also provide a clear discussion of more advanced topics such as nested, factorial, split-plot, and repeated measures designs. Their book is comprehensive, handles each topic deftly, and should be readily accessible to researchers with a good grounding in basic statistics."

--Contemporary Sociology

"The book is well written and includes useful examples. . . . Useful to researchers in both the planning and analysis phases of an experimental study."

--ANNA Journal

"Introductory, well written, and has illustrative examples. Highly recommended for introductory courses and self study; the book can be supplemented easily with a treatment of covariates from other available study materials."

--Journal of Marketing Research

This volume introduces the reader to one of the most fundamental topics in social science statistics--experimental design. The authors clearly show how to select an experimental design based on the number of independent variables, the sources and number of extraneous variables, and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multi-group situation, the logic of the t test, and completely randomized designs.

This book introduces Q methodology, a method developed nearly a century ago and now recognized as a comprehensive approach for studying subjectivity in the human sciences. The text situates Q methodology historically and delves into its philosophical and technical aspects in relation to educational philosophy, both at collective and individual levels. It showcases Q methodology''s relevance and value across numerous educational domains, including counsellor education, cultural foundations, instructional technology, leadership studies, education policy, teaching practices, educational psychology, assessment, measurement, and child studies. It further speculates on Q methodology''s future in education research and offers insights for research across various educational fields.

With contributions from diverse applications authored by international educational scholars, this edited volume offers a sophisticated introduction to Q methodology in education. It is applicable to the work of researchers across quantitative and qualitative disciplines in education.