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Intermediate Statistics
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Intermediate Statistics
A Conceptual Course

August 2012 | 448 pages | SAGE Publications, Inc
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Intermediate Statistics: A Conceptual Course 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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Key features

Key Features

  • Emphasizes familiar logic and minimizes complex hand calculations: The text includes some simple hand calculations which are then repeated in SPSS, serving as a confidence builder for more complex analyses (for which SPSS is used)
  • Includes real research questions, many using real data sets: Students not only learn about a classic study but analyze one of the data sets, and interpret and critique the findings
  • Shows how to write about statistics in APA style: Examples are provided in the chapters, with excerpts from published papers included in the Appendix
  • Consistently takes a hands-on approach to statistics: By working with the data, students are compelled to think about what the numbers behind their analyses actually mean
  • Employs a reader-friendly, narrative writing style: Helping students to stay motivated, the text makes sure to identify questions requiring an answer by pulling them out of the narrative
  • Class-tested with students at three universities over the course of 10 years: The textbook comes with a set of ideal answers to all of the statistical problems set, making it easy for instructors to grade the assignments that are woven into each chapter

Sample Materials & Chapters

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ch 1

ch 6

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