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Intermediate Statistics
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Intermediate Statistics
A Conceptual Course



October 2012 | 448 pages | SAGE Publications, Inc
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Hands on Data Analysis: A Second Course in Statistics is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.

 
Chapter 1: A Review of Basic Statistical Concepts
 
Chapter 2: Descriptive Statistics
 
Chapter 3: Linear and Curvilinear Correlation
 
Chapter 4: Non-Parametric Statistics (Tests Involving Nominal Variables)
 
Chapter 5: Reliability (and a Little Bit of Factor Analysis)
 
Chapter 6: Single-sample and two-sample t-tests
 
Chapter 7: One-way and Factorial Analysis of Variance (ANOVA)
 
Chapter 8: Within-Subjects and Mixed Model Analyses
 
Chapter 9: Multiple Regression
 
Chapter 10: Examining Interactions in Multiple Regression
 
Chapter 11: ANCOVA, Covariate Adjusted Means, and Predicted Scores
 
Chapter 12: Suppressor Variables
 
Chapter 13: Mediation and Path Analysis
 
Chapter 14: Data Cleaning
 
Chapter 15: Data Merging and Data Management
 
Chapter 16: Avoiding Bias: Characterizing without Capitalizing

The book is userfriendly, with examples/hypothetical studies that are very helpful and entertaining, making statistical analysis almost fun for a non-statistician. Although we do not use SPSS statistics software programming for our data analysis, the syntax and examples provided are very helpful.

Dr Johanita Burger
Pharmacy, North-West University
March 10, 2013
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