Articles in the Textbooks category
Routledge publishes quality textbooks in a variety of disciplines and course subjects. We are committed to providing course materials to instructors and students that are both engaging and innovative. You can learn more about our textbooks by viewing our featured selections below in Research Methods and Statistics. You can also browse textbooks in all subjects or check out our companion websites.
Intended for beginning graduate or advanced undergraduate students, this book provides a comprehensive review of research methods used in psychology and related disciplines. It covers topics that are oftentimes omitted in other texts including correlational and qualitative research and integrative literature reviews.
With over 50,000 copies sold, the new edition of this best-selling guide carefully leads the user through the process of using SPSS version 20 to analyze psychological data. The authors review the basic issues regarding design and proceed through all of the major statistical techniques used in psychology, from introductory to advanced level.
Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems.
Series: Quantitative Methodology Series
This is the first workbook to introduce the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20.
Ideal as a supplement for graduate-level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow-up to the authors’ popular texts, Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.
Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their own data and interpret SPSS and research results. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Determining appropriate sample sizes is emphasized throughout. Only crucial equations are included.
