Statistical Methods in Longitudinal Research: Principles and Structuring Change
Methods for analyzing change across time
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AlbakiReads Editorial
Methods for analyzing change across time
Edited for students and researchers working with repeated observations, this volume connects statistical principles to applied questions about development and change. It moves between broad methodological concerns and focused treatments of three central areas: structuring change, time-series analysis, and categorical longitudinal data. The cross-disciplinary scope places these tools in contexts ranging from social and behavioral research to medicine, ecology, and plant physiology. Its emphasis on both statistical and computing foundations makes it a subject-focused reference for organizing and analyzing data collected over time.
Good fit for readers who enjoy
- Students studying development or change with foundational statistics and computing knowledge
- Researchers in psychology, sociology, education, medicine, or behavioral sciences
- Quantitative researchers working with time-series or categorical longitudinal data
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