Second Exam

What are the 4 components of trustworthy quantitative data and how are they defined? What are the qualitative equivalents to each of the 4? See Chapter 10 and notes.

The 4 components of quantitative data are Depenedability, credibility, inclusiveness, transferability

Qualitative: Reliability, validatiy, representative, generalizable

What are the types of qualitative (focus groups, nominal groups…) and quantitative data collection techniques in survey research (mail, phone, …. ) ? Chapter 10 and notes.

Know advantages and disadvantages (strengths and weaknesses) of quantitative survey research approaches (personal interviews, phone, mail, web) SEE GREY BOXES in Chapter 10 and Notes.

What is the difference between reliability and validity?

Define population and sampling frame.

What is the difference between a probability and non-probability sample

Know some of the ways to choose a sample (random, stratified, snowball…) for probability and non-probability sampling strategies?

What is an appropriate sample size to obtain a 5% margin of error for a population of 1 million and above?

What is the difference between a cross-sectional and longitudinal study?

What is the difference between informed consent and assent?

What is the difference between confidential and anonymous survey research?

Know the different types of questions that can be asked in Surveys (See Section 21.3.2.2 Specific Question Types in FISHERIES TECHNIQUES Chapter)

Know the various types of biases (e.g., nonresponse bias (unit, item), recall bias, digit preference bias, multiplier bias, strategic bias, reporting-error bias, prestige bias, avidity bias, party leader bias, and nonresponse bias, question order bias) encountered in survey research (See Section 21.3.4 Reducing Bias in FISHERIES TECHNIQUES Chapter and PDF handout)