The Process-Centered School

Part I: Why Do We Use Statistics?Chapter 1: Why Statistics? A. What can statistics do for me? B. Research design and statisticsChapter 2: The Starting Place: Data and Distributions A. Populations and samples B. Types of data collected in research in psychology C. Frequency distributions D. Frequency distributions in Excel E. Introduction to SPSSChapter 3: Probability and sampling A. Concepts of probability B. Sampling techniques C. Distribution of sample means introductionPart II: Descriptive StatisticsChapter 4: Central Tendency A. Central tendency in distributions B. Mean C. Median D. Mode E. Which measure of central tendency should I use?Chapter 5: Variability A. Variability in distributions B. Range and Interquartile Range C. Standard deviation D. Which measure of variability should I use?Chapter 6: Presenting Descriptive Statistics A. Descriptive statistics in graphs B. Descriptive statistics in tables C. APA style for graphs and tablesPart III: Basics of Hypothesis TestingChapter 7: The Normal Distribution and z-Scores A. The z-score transformation B. The normal distributionChapter 8: Hypothesis Testing Logic A. Using the normal distribution to test hypotheses B. Logic of hypothesis testing C. Types of hypothesis testing errors D. Statistical significancePart IV: The Nuts and Bolts of Statistical TestsChapter 9: The t-distribution A. The t-distribution - when we don't know the value of the population standard deviation B. One-sample t-test C. Using SPSS to conduct a one-sample t-test D. Test AssumptionsChapter 10: Related/paired samples t-test A. Samples with related/paired data B. Calculating a related/paired samples t-test C. Using SPSS to conduct related/paired samples t-test D. Test AssumptionsChapter 11: Independent samples t-test A. Independent samples B. Calculating independent samples t scores C. Using SPSS to Conduct an independent samples t-test D. Test AssumptionsChapter 12: One-way ANOVA A. More than two independent samples B. Calculating the F score in an ANOVA C. Using SPSS to calculate One-way between-subjects ANOVA D. Test AssumptionsChapter 13: Two-way ANOVA A. Factorial designs B. Calculating two-way F scores C. Using SPSS to calculate Two-way between-subjects ANOVA D. Test Assumptions E. Understanding interactionsChapter 14: One-way within-subjects ANOVA A. Within-subjects designs B. Calculating one-way within-subjects F scores C. Using SPSS to calculate one-way repeated-measures ANOVA D. Test Assumptions E. More Complex Within-Subjects DesignsChapter 15: Correlation Tests and Simple linear regression A. Correlation versus Causation B. Hypothesis Testing with Pearson r C. Using SPSS to conduct a Pearson r test D. Regression Analyses E. Non-Linear RelationshipsChapter 16: Chi-square tests A. Parametric versus non-parametric tests B. Observed versus expected frequencies C. Calculating Chi-Square by hand D. Calculating Chi-Square using SPSS