PSYC 200W Study Guide - Midterm Guide: Simple Linear Regression, Simple Random Sample, Phi Coefficient
28 Jun 2018
School
Department
Course
Professor
Exam 2 Review
***Know the listed concepts. Be able to define, apply, and provide examples of them. ***
Chapter 5
Representative sample
Probability samples (simple random sampling, stratified random sampling, proportionate
sampling, cluster sampling)
Sampling frame
Error of estimation
Probability sampling problems
Nonprobability samples (convenience sampling, quota sampling, purposive sampling)
Sample size as it relates to a) error of estimation and b) power
Chapter 6
Goal of descriptive research
Types of descriptive research (survey, demographic, epidemiological)
Cross-sectional vs. successive independent samples vs. longitudinal survey design
Internet surveys
Describing & presenting data
Descriptives table (components, be able to “read” one)
Normal vs. positively-skewed vs. negatively skewed distribution
Bar graphs vs. histograms
Confidence intervals
Z-scores
Chapter 7
Correlation coefficient
Scatter plot
Coefficient of determination
Factors impacting statistical significance of a correlation (sample size, magnitude, p-value)
Factors that distort correlations
Criteria for causality (covariation, directionality, elimination of 3rd variables)
Partial correlation
Pearson vs. Spearman rank-order vs. Point biserial vs. Phi coefficient
Correlation table (components, be able to “read” one)
Chapter 8 (excerpts)
Linear regression
Regression equation (purpose/what it allows you to do, components)
Simple linear regression
Multiple regression
Regression coefficients
Regression table (components, be able to “read” one)
Types of MR
Simple slopes analysis (Nothing too detailed here! Just when/why is it used?)
Research talks: Bryan and Steve
Terrizzi et al. (2010)
Note: This is not necessarily an exhaustive list of all topics that Exam II may cover. Be sure to read Chapters 5, 6,
7, & 8 (excerpts). All material covered in the book is fair game for the exam, even if we did not discuss it in class.
Document Summary
Be able to define, apply, and provide examples of them. Probability samples (simple random sampling, stratified random sampling, proportionate sampling, cluster sampling) Nonprobability samples (convenience sampling, quota sampling, purposive sampling) Sample size as it relates to a) error of estimation and b) power. Types of descriptive research (survey, demographic, epidemiological) Cross-sectional vs. successive independent samples vs. longitudinal survey design. Descriptives table (components, be able to read one) Normal vs. positively-skewed vs. negatively skewed distribution. Factors impacting statistical significance of a correlation (sample size, magnitude, p-value) Criteria for causality (covariation, directionality, elimination of 3rd variables) Pearson vs. spearman rank-order vs. point biserial vs. phi coefficient. Correlation table (components, be able to read one) Regression equation (purpose/what it allows you to do, components) Regression table (components, be able to read one) Simple slopes analysis (nothing too detailed here! Note: this is not necessarily an exhaustive list of all topics that exam ii may cover.
