Introduction
Exam Two covers materials presented in the class lectures and chapters 13-17 of the Babbie textbook. It contains two sections. In the first section, students will be asked to answer fifteen multiple-choice questions worth 2 points each. In the second section students will be asked to answer two short-answer questions worth 15 points each.
Dr. Sapp's Office Hours are MWF, 9:00 a.m. to 10:00 a.m., or by appointment. Students are invited to come to the office at any time and I will be happy to discuss the class materials with you.
Readings:
Babbie Textbook: Chapters 15-16.
Validity and Reliability.
Class Notes.
Key Terms
Chapter 15: distorter variable, elaboration model, replication, spurious relationship, suppressor relationship, moderating variable (class notes), mediating variable (class notes), aggregation bias (class notes), ecological fallacy (class notes), zero-order relationship.
Chapter 16: ANOVA, discriminant analysis, factor analysis, inferential statistics, partial regression analysis, proportionate reduction in error, statistical significance, t-ratio (class notes), chi-square test of independence (class notes), degrees of freedom (class notes).
Validity and Reliability
content validity, construct validity, history, maturation, cueing, Cronbach's alpha
Discussion Topics
- Be prepared to identify direct, mediating, and moderating relationships in a diagram of a causal model. Be prepared to identify possible spurious and suppressor relationships in this diagram.
- Be prepared to define and describe the differences between standard deviation and standard error.
- Be prepared to describe measurement error, sampling error, and standard error in relation to one another.
- Be prepared to describe why standard error needs to be as small as possible.
- Be prepared to describe the test-retest, alternative forms, split-half, and internal consistency approaches to estimating reliability. Be prepared to describe the advantages and disadvantages of each approach.
- Be prepared to describe content (face) validity and construct validity. Be prepared to describe why evaluations of construct validity might fail to show acceptable content validity.
Help Session
Wednesday, October 8th, 5:00pm to 6:00pm, First Floor, East Hall.