معرفی
Douglas G. Bonett is a Distinguished Professor of Psychology at the University of California, Santa Cruz. His research focuses on quantitative psychology, statistical inference, and meta-analysis, with particular emphasis on interval estimation, categorical data analysis, and sample size planning. He has contributed extensively to statistical methodologies for combining and comparing results across studies.
Dr. Bonett has authored multiple textbooks on statistical methods for psychologists, including volumes on experimental design, linear models, and meta-analysis. These texts include R and SPSS code for data analysis problems. He developed the statpsych and vcmeta R packages to implement advanced statistical techniques for confidence intervals and meta-analytic methods.
His work spans over three decades, addressing topics such as correlation analysis, reliability estimation (e.g., Cronbach’s alpha), and the design of replication studies. Key contributions include methodologies for analyzing paired data, ratio estimation, and small-sample statistical testing.
Though no formal awards are listed here, his extensive publication record and pedagogical materials reflect significant scholarly impact. His advising and grants are detailed in his curriculum vitae, with a focus on statistical education and applied research in psychology.
