Sociology 280.003, Fall 2006

Second Exam Study Guide

 

The second exam (on Wed. Dec. 13 at 12:30pm) will cover Schutt Chapters 5, 8, 9, 13 and 14, as well as class lectures, team presentations and material covered in group activities both in and outside of class. The following questions are meant to guide your studying, particularly in relation to the textbook chapters.

 

Online study site for Schutt: http://www.pineforge.com/isw5/index.htm

 

Study Questions


Schutt Chapter 5 - Sampling

In social science terms, what are a sample, a sampling frame, elements, units, and a population?

What are the most important questions to be asked in determining generalizability of a sample? (or, what are the two different meanings of "generalizability?")

What is a representative sample and what are its characteristics (relative to the population)?

What is it called when a social scientist collects data from the entire population?

What is the difference between a probability sample and a nonprobability sample?

In the context of sampling, what is meant by "random?" What's the difference between "random" and "haphazard?"

What are the major influences on the degree of sampling error due to chance (p. 142)?

Be able to define, explain the differences among, and describe the techniques of the following: simple random sampling, systematic random sampling, stratified random sampling (proportionate and disproportionate), cluster sampling, availability/convenience sampling, quota sampling, purposive sampling, snowball sampling. Under what conditions is it preferable to use each of these sampling methods, and why?

Sampling Method

Definition

Purpose

When to use
(examples?)

Techniques (how-to's)

Simple random

 

 

 

 

Syst. random

 

 

 

 

Strat. Random

(prop/disp)

 

 

 

 

Cluster

 

 

 

 

Availability

 

 

 

 

Quota

 

 

 

 

Purposive

 

 

 

 

Snowball

 

 

 

 

 

Based on the NYT articles we read, what were the main issues of contention regarding sampling and the U.S. Census?

 

Schutt Chapter 8 - Survey Research

What are the advantages of survey research?

What types of errors must be minimized in survey research?

What are the do's and don'ts of writing survey questions? (or, the characteristics of "good" and "bad" survey questions?

What are fence-sitting and floating, and how do you minimize them?

Under what conditions is an index useful, and how do you construct one?

What's a questionnaire? An interview schedule?

What is a context effect?

What are the different methods of administering surveys, and the advantages and disadvantages of each?

What are fixed-choice and open-ended questions?

 

Schutt Chapter 9 - Qualitative Methods

What are the three fundamental practices of qualitative research methods, what are the techniques of each, and under what conditions is each used?

How did qualitative methods initially develop?

What is a case study?

What are the differences between, advantages and disadvantages of covert and overt observation?

What are some important considerations for a researcher entering the field?

What is theoretical sampling? How do you do it? What is "saturation" and how do you know when it is reached?

What are the steps to writing good field notes?

How do/should researchers manage/reflect on their roles (particularly the impact of their presence) in research settings?

What is a systematic observational strategy and when/why is such a strategy useful?

What are the techniques of conducting good qualitative interviews/focus groups and collecting valid, reliable data from them?

 

Schutt Chapter 13 - Secondary Data Analysis & Content Analysis

What are the advantages and challenges of secondary data analysis? What kinds of questions should the researcher ask about secondary data before conducting analysis?

What is content analysis, and what are its goals? Is it qualitative or quantitative?

In content analysis, what are a population, units of analysis, and sampling units?

What are a codebook and a coding form, and how do you construct them?

 

Schutt Chapter 14 - Quantitative Data Analysis

What are descriptive and inferential statistics?

When do you use a bar chart, histogram, or a line graph/frequency polygon to display frequency data?

What is a frequency distribution and what are its components?

What is central tendency? What are the three measures of central tendency, how are they determined/calculated, and with what levels of measurement do you use each?

What is the purpose of measures of variation? What are the main measures of variation and how are they calculated?

How do you construct a crosstab for a bivariate relationship? How do you construct a crosstab to display the relationship among three or more variables?

What aspects of association are revealed in a crosstab table? (or, what four questions need to be answered to characterize an association among variables?)

What are chi-square and p-value? What is meant by any given p-value?

What is the standard criterion for statistical significance?
What does p-value signify for coefficients in a regression table?