This text is written for a one-semester introduction to statistical analysis course in sociology, criminal justice, social work, or psychology in which students will be exposed to the basic concepts and procedures in statistical analysis as it is applied in the social sciences. In Statistical Analysis in the Behavioral Sciences, Raymondo offers a text that provides clear and student-friendly explanations of statistical concepts, in which as much emphasis is placed on the purpose and interpretation of statistical analysis as on the traditional approach of how to perform statistical procedures. Through his clear and conversational writing style, by going beyond a surface interpretation, and by using "real-life" data, Raymondo sparks students' interest and understanding.
reading. Carroll, J.D., Green, P.E., & Chaturvedi, A. (1997). Mathematical tools for applied multivariate analysis: Revised edition. San Diego, CA: Academic Press. Fox, J. (2009). A mathematical primer for social statistics.
Statistics for the Behavioral Sciences
The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * ...
In Introduction to Statistics and Data Analysis, Bob Lockhart emphasizes the link between statistical techniques and scientific discovery by focusing on evaluation and comparison of models.
The book includes a student friendly system of pedagogy to ensure student success.
This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time.
The most common correlation coefficient is “Pearson's r” or “Pearson product-moment correlation coefficient,” but there are many other correlation coefficients to choose from. Pearson's r requires that your data (X and Y variables) be ...
This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment.
By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter.
+.23 f. +.19 5. You observe a correlation between variables X and Y. Identify the three possible causal relationships that may explain the correlation. 6. ... The Population Correlation, The Pearson r describes the linear ...