图书简介

Section 1: Topic Activities \\ 1: Statistics in the media \\ 2: The purpose of statistics \\ 3: Understanding your data \\ 4: Research concepts: Designs, Validity, and Scales of Measurement \\ 5: Measurement group activity \\ 6: Designing an Experiment Group Activity \\ 7: Experimental variables \\ 8: Distributions and Probability \\ 9: Displaying Distributions \\ 10: Setting up your data in SPSS Creating a data file \\ 11: Displaying Distributions in SPSS \\ 12: Basic probability \\ 13: Sampling \\ 14: Central Tendency 1 \\ 15: Central Tendency 2 \\ 16: Central Tendency in SPSS \\ 17: Describing a Distribution (calculations by hand) \\ 18: More Describing Distributions \\ 19: Descriptive Statistics Exercise \\ 20: Descriptive Statistics with Excel \\ 21: Measures of Variability in SPSS \\ 22: Calculating z-scores using SPSS \\ 23: The Normal Distribution \\ 24: z-scores and the Normal Distribution \\ 25: Hypothesis Testing with Normal Populations \\ 26: Stating Hypotheses and Choosing Tests \\ 27: Hypothesis Testing with z-tests \\ 28: Hypothesis Testing with a Single Sample \\ 29: One-Sample t-test in SPSS \\ 30: One-Sample t-tests by Hand \\ 31: Related-samples t-tests \\ 32: Related-samples t-test in SPSS \\ 33: Independent-samples t-tests \\ 34: Hypothesis testing – Multiple Tests \\ 35: More Hypothesis Tests with Multiple Tests \\ 36: t-tests Summary Worksheet \\ 37. Choose the correct t-test \\ 38: One-way Between-Subjects ANOVA (hand calculations) \\ 39: One-way Between-Subjects ANOVA in SPSS \\ 40: Factorial ANOVA \\ 41: One-way Within-Subjects ANOVA \\ 42: One-way Within-Subjects ANOVA in SPSS \\ 43: ANOVA Review \\ 44. Which test should I use? \\ 45: Correlations and Scatterplots Exercise \\ 46: Correlations and Scatterplots 2 \\ 47: Correlations and Scatterplots in SPSS \\ 48: Computing Correlations by Hand \\ 49: Computing Correlations by Hand 2 \\ 50: Hypothesis Testing with Correlation \\ 51: Hypothesis Testing with Correlation using SPSS \\ 52: Regression \\ 53: Chi-Square test for independence \\ Section 2: Meet the Formulae \\ 54: Meet the Formula: Standard Deviation \\ 55: Meet the Formula: z-score Transformation \\ 56: Meet the Formula: Single sample z-tests and t-tests \\ 57: Meet the Formula: Comparing Independent samples and related samples t-tests \\ 58: Meet the Formula: One-factor between-subjects ANOVA \\ 59: Meet the Formula: Two-factor ANOVA \\ 60: Meet the Formula: One factor within-subjects ANOVA \\ 61: Meet the Formula: Correlation \\ 62: Meet the Formula: Bi-variate regression \\ Section 3: Data Analysis Projects \\ 63: Data Analysis Exercise – von Hippel, Ronay, Baker, Kjelsaas, and Murphy (2016) \\ 64: Data Analysis Exercise – Nairne, Pandeirada, and Thompson (2008) \\ 65. Data Analysis Project 1 – Crammed vs. Distributed Study \\ 66. Data Analysis Project 2 – Teaching Techniques Study \\ 67. Data Analysis Project 3 – Distracted Driving Study \\ 68. Data Analysis Project 4 – Temperature and Air Quality Study \\ 69. Data Analysis Project 5 – Job Type and Satisfaction Study \\ 70. Data Analysis Project 6 – Attractive Face Recognition Study \\ 71. Data Analysis Project 7 – Discrimination in the Workplace Study \\ Section 4: How to Choose a Statistical Test \\ 72. Using the Flowchart to Find the Correct Statistical Test \\ 73. More Using the Flowchart to Find the Correct Statistical Test \\ 74. Research Design Exercise \\ 75. Design and Data Collection Exercise \\ 76. Designs and Analyses \\ Section 5: Describing and Interpreting Results in APA Style \\ 77. Writing a Results Section from SPSS Output – t-tests \\ 78. Writing a Results Section from SPSS Output – ANOVA \\ 79. Interpreting Results Exercise—Sproesser, Schupp, and Renner (2014) \\ 80. Interpreting Results Exercise— Ravizza, Uitvlugt, and Fenn (2017)

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