This book will be invaluable to researchers and graduate students in psychology, education, management, public health, sociology, and other social, behavioral, and health science disciplines. It will also serve as a supplemental text in graduate-level courses on categorical data analysis, longitudinal analysis, and person-oriented research. He develops, studies, and applies methods for the analysis of categorical data in particular, configural frequency analysis and log-linear modeling and longitudinal data.
He also works on and with classification methods and conducts simulation studies. He is a Fellow of the American Psychological Association and the American Psychological Society, and he was visiting professor of statistics, psychology, human development, and education at a number of universities in Austria and Germany, as well as at Penn State.?
Advances in configural frequency analysis
He was a visiting scholar at the University of California, Los Angeles. His publications appear in journals of applied and computational statistics.?
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Her research aims to better understand how alcohol and drug use behaviors develop over time, and to delineate mechanisms of behavior change in order to develop effective prevention and intervention approaches, especially for adolescents and emerging adults. She is also interested in extending existing research methodology by integrating and synthesizing distinctive methods together--in particular, pattern-oriented and person-oriented longitudinal research methods--and by disseminating applications.
The book describes the use of an R-package called confreq derived from Conf igural Freq uency Analysis. The use of the software package is described and demonstrated with data examples. Skip to main content Skip to table of contents.
- Advances in Configural Frequency Analysis;
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Advertisement Hide. Front Matter Pages i-viii. Introducing Person-Centered Methods. Pages CFA Software.
Configural frequency analysis - Wikipedia
It is the only statistical method that allows one to make statements about empty areas in the data space. Applied and or person-oriented researchers, statisticians, and advanced students interested in CFA and categorical and longitudinal data will find this book to be a valuable resource. Developed since , this method is now used by a large number of researchers around the world in a variety of disciplines, including psychology, education, medicine, and sociology.