# Psych 101 - Spring 2007 - Institution: University of California, Berkeley - Teacher: Fredric Theunissen - Year: 2007 - Level: Undergraduate - Language: English - Subjects: Mathematics, Psychology and the brain - Source: [Internet Archive](https://archive.org/details/ucberkeley_webcast_itunesu_461122892) - Licence: none stated by the source - Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words) Research and Data Analysis in Psychology - Spring 2007 - The course will concentrate on hypothesis formulation and testing, tests of significance, analysis of variance (one-way analysis), simple correlation, simple regression, and nonparametric statistics such as chi-square and Mann-Whitney U tests. Research and Data Analysis in Psychology Introduction and Research Design Primer Research Design in Psychology Variables/Histograms Sampling/Histograms/Probability of Distribution Measure of Central Tendency/Variance/Kurtosis Variance/Sampling/Kurtosis The Normal Distribution - Z-Scores The Normal Distribution - Central Limit Theorem DOM and the Standard Error of Mean Hypothesis Testing Z-Test Error/Effect Size/Power Effect Size and Power Power and Effect Size Confidence Intervals and Single Factor Design Single Factor Design and the 3 Types of T-Test One sample t-test and t-test for dependent means T-test for independent mean: Calculation T-test for independent means: Effect size and Power One way ANOVA Introduction One-way ANOVA: Structural Model Formulation One-way ANOVA ? Factorial Design Factorial Design Two-way ANOVA low noisy audio for first 10 minutes Two-way ANOVA: Calculation Two-way ANOVA: Calculation 2 Correlation Correlation 2 Correlation and Hypothesis testing/Regression Regression/Midterm Review Chi-Square Test Chi-Square Test 2 Data Transformations Rank Order Tests Midterm Review Rank Order Tests/ Monte Carlo Method Monte Carlo/Multiple Linear Regression Multiple Linear Regression/GLM Final Review ## Lectures 1. [Introduction and Research Design Primer](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4), 39 min (Audio) 2. [Research Design in Psychology](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-2), 51 min (Audio) 3. [Variables/Histograms](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-3), 41 min (Audio) 4. [Sampling/Histograms/Probability of Distribution](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-4), 48 min (Audio) 5. [Measure of Central Tendency/Variance/Kurtosis](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-5), 47 min (Audio) 6. [Variance/Sampling/Kurtosis](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-6), 46 min (Audio) 7. [The Normal Distribution - Z-Scores](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-7), 47 min (Audio) 8. [The Normal Distribution - Central Limit Theorem](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-8), 45 min (Audio) 9. [DOM and the Standard Error of Mean](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-9), 48 min (Audio) 10. [Hypothesis Testing](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-10), 48 min (Audio) 11. [Z-Test](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-11), 50 min (Audio) 12. [Error/Effect Size/Power](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-12), 51 min (Audio) 13. [Effect Size and Power](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-13), 37 min (Audio) 14. [Power and Effect Size](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-14), 50 min (Audio) 15. [Confidence Intervals and Single Factor Design](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-15), 48 min (Audio) 16. [Single Factor Design and the 3 Types of T-Test](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-16), 48 min (Audio) 17. [One sample t-test and t-test for dependent means](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-17), 49 min (Audio) 18. [T-test for independent mean: Calculation](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-18), 44 min (Audio) 19. [T-test for independent means: Effect size and Power](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-19), 48 min (Audio) 20. [One way ANOVA Introduction](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-20), 50 min (Audio) 21. [One-way ANOVA: Structural Model Formulation](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-21), 49 min (Audio) 22. [One-way ANOVA ? Factorial Design](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-22), 43 min (Audio) 23. [Factorial Design](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-23), 48 min (Audio) 24. [Two-way ANOVA](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-24), 49 min (Audio) 25. [Two-way ANOVA: Calculation](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-25), 46 min (Audio) 26. [Two-way ANOVA: Calculation 2](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-26), 50 min (Audio) 27. [Correlation](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-27), 52 min (Audio) 28. [Correlation 2](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-28), 48 min (Audio) 29. [Correlation and Hypothesis testing/Regression](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-29), 50 min (Audio) 30. [Regression/Midterm Review](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-30), 49 min (Audio) 31. [Chi-Square Test](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-31), 51 min (Audio) 32. [Chi-Square Test 2](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-32), 49 min (Audio) 33. [Data Transformations](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-33), 48 min (Audio) 34. [Rank Order Tests](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-34), 49 min (Audio) 35. [Midterm Review](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-35), 47 min (Audio) 36. [Rank Order Tests/ Monte Carlo Method](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-36), 47 min (Audio) 37. [Monte Carlo/Multiple Linear Regression](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-37), 43 min (Audio) 38. [Multiple Linear Regression/GLM](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-38), 36 min (Audio) 39. [Final Review](https://invisiblenetwork.ai/learn/ia/ucberkeley_webcast_itunesu_461122892/d18f55fc85a4-39), 50 min (Audio)