PPT-Cal State Northridge

320 Andrew Ainsworth PhD Regression 2 What is regression How do we predict one variable from another How does one variable change as the other changes Cause and effect Psy 320 Cal State Northridge. Cal State Northridge. . 320. Andrew Ainsworth PhD. The standard deviation. Benefits:. Uses measure of central tendency (i.e. mean). Uses all of the data points. Has a special relationship with the normal curve. . 320. Andrew Ainsworth PhD. Correlation. Major Points. Questions answered by correlation. Scatterplots. An example. The correlation coefficient. Other kinds of correlations . Factors affecting correlations. Two Related Samples. AKA Dependent Samples Tests. AKA Matched-Pairs Tests. Cal State Northridge. . 320. Andrew Ainsworth PhD. Major Points. 2. Related samples? Matched Samples?. Difference scores?. Ainsworth. One-way . Between Groups Analysis . of Variance. 2. Major Points. Problem with t-tests and multiple groups. The logic behind ANOVA. Calculations. Multiple comparisons. Assumptions of analysis of variance. Cal State Northridge. 320. Andrew Ainsworth PhD. Procedures for Displaying Data. The variable. : . scores . on a 60 question . exam . for 20 students. 50, 46, 58, 49, 50, 57, 49, 48, 53, 45, 50, 55, 43, 49, 46, 48, 44, 56, 57, 44. Variability. Descriptive Statistics Part 2. Cal State Northridge. . 320. Andrew Ainsworth PhD. 2. Reducing Distributions. Regardless of numbers of scores, distributions can be described with three pieces of info:. Central . Tendency. Descriptive Statistics Part . 1. Cal State Northridge. . 320. Andrew Ainsworth PhD. 2. What is a typical score like?. There are three indices of this central tendency:. Mode. Median. Cal State Northridge. . 320. Andrew Ainsworth PhD. Topics in Factorial Designs. What is Factorial?. Assumptions. Analysis. Multiple Comparisons. Main Effects. Simple Effects. Simple Comparisons. Effect Size estimates. Two Independent Samples. Cal State Northridge. . 320. Andrew Ainsworth PhD. Major Points. What are independent samples?. Distribution of differences between means. An example . Heterogeneity of Variance. Cal State Northridge. . 320. Andrew Ainsworth . PhD. Measurement. In much scientific work we are interested in either describing the distributions of and/or relationships among abstract constructs: e.g.,. 2 is a vibrant, global community located in the heart of Los Angeles’ San Fernando Valley. Founded in 1958, it is one of the largest universities in the United States, enrolling approximately Cal State Northridge. . 320. Andrew Ainsworth PhD. 2. Major Topics. What are repeated-measures?. An example. Assumptions. Advantages and disadvantages. Effect size. Psy 320 - Cal State Northridge. Cal State Northridge. . 320. Andrew Ainsworth PhD. 2. Major Points. Review. What is power?. What controls power?. Effect size. Power for one sample . t. Power for related-samples. t. Power for two sample . 320. Andrew Ainsworth PhD. Hypothesis Tests: One Sample Mean. Major Points. Sampling distribution of the mean revisited. Testing hypotheses: sigma known. An example. Testing hypotheses: sigma unknown.