Test Bank for Interpreting and Using Statistics in Psychological Research 1st Edition Christopher 1506304168 9781506304168

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This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Language: English
ISBN-10: 1506304168
ISBN-13: 978-1506304168
ISBN-13: 9781506304168

Author: Andrew N. Christopher

interpreting and using statistics in psychological research
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interpreting and using statistics in psychological research by andrew n. christopher

Table of Content:

Chapter 1- Why Do I Have to Learn Statistics? The Value of Statistical Thinking in Life
Chapter 2- Basics of Quantitative Research: Variables, Scales of Measurement, and an Introduction to the Statistical Package for the Social Sciences (SPSS)
Chapter 3- Describing Data With Frequency Distributions and Visual Displays
Chapter 4- Making Sense of Data: Measures of Central Tendency and Variability
Chapter 5- Determining “High” and “Low” Scores: The Normal Curve, z Scores, and Probability
Chapter 6- Drawing Conclusions From Data: Descriptive Statistics, Inferential Statistics, and Hypothesis Testing
Chapter 7- Comparing Two Group Means: The Independent Samples t Test
Chapter 8- Comparing Two Repeated Group Means: The Paired Samples t Test
Chapter 9- Comparing Three or More Group Means: The One-Way, Between-Subjects Analysis of Variance (ANOVA)
Chapter 10- Comparing Three or More Repeated Group Means: The One-Way, Repeated-Measures Analysis of Variance (ANOVA)
Chapter 11- Analyzing Two or More Influences on Behavior: Factorial Designs for Two Between-Subjects Factors
Chapter 12- Determining Patterns in Data: Correlations
Chapter 13- Predicting the Future: Univariate and Multiple Regression
Chapter 14- When We Have Exceptions to the Rules: Nonparametric Tests
Chapter 15- Bringing It All Together: Using Your Statistical Toolkit

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