Sociology 217 - Research Methods Exam II Study Guide - Professor Ghaziani Exam II will consist of multiple choice and short answer questions. You will have the full class period (80 minutes) to complete the exam. 50 points in total. Qualitative Research Methods · KEY IDEAS & CONCEPTS: o What are similarities and differences between qualitative & quantitative research? o What are the trade-offs between qualitative and quantitative research? o When is it most appropriate to use qualitative methods? o What are the basic tools of collecting qualitative data? o What are the different modes of observation, and how are they distinct? Why should you interview? What are the different features of units of analysis? Be sure you understand coding (what it is, stages, and types). o Be sure you understand types of patterns. . Be sure you are familiar with how course concepts are used in the article: "Inclusive Masculinities." · KEY TERMS / VOCABULARY: o Be able to identify (not memorize and list) the types of qualitative studies. o Types of Interviews o Types of Purposive Sampling Techniques o Reactivity o Codes and Coding o Memos (types) and Memoing o See textbook for additional key terms Comparative Research Methods · KEY IDEAS & CONCEPTS: o When is it most appropriate to use comparative methods? o What are its broad goals? Know how to read and interpret a truth table. o If given a truth table, know how to "solve" it. o Be able to interpret the RESULTS*of*COMPARATIVE*RESEARCH. Be sure you are familiar with how course concepts are used in the article: "The Organizational and Social Foundations of Worker Resistance." · KEY TERMS / VOCABULARY: o Diversity o Causal Configurations Truth Table / Data Matrix o Presence-Absence Dichotomies 1
Quantitative Research Methods · KEY IDEAS & CONCEPTS: o When is it most appropriate to use quantitative methods? o Know how to create and interpret a frequency distribution. o Know how to determine the mean, median, mode, range, and standard deviation. o What is the 68-95-99 Framework? Why is it useful? What does it assume? o Be familiar with the properties of a normal curve/distribution. o How should you assess a correlation? o What is the difference between a regression and a correlation? o Regression: Be able to write an equation for the line; interpret the constant; and interpret the beta coefficients. o Regression: If given numbers for IVs, be able to "solve" for the DV. o What is r2? What is R2? What's the difference? How do you interpret the numbers? Be sure you are familiar with how course concepts are used in the article: "What Causes Aboriginal Protest?" • KEY TERMS / VOCABULARY: o Parsimony and Generality o Cause (requirements to assert causality) vs. Correlation (types) o Scatter Plots o Hypotheses (Null and Alternate/Research) o Distribution and Frequency Distribution o Measures of Central Tendency, Measures of Dispersion o Greek Letters that Correspond to Statistics o Univariate, Bivariate, and Multivariate Analyses o Pearson Product-Moment Correlation o Simple and Multiple