APPL 632   FINAL EXAM  REVIEW  

These are the topics that I will focus on for the final exam. Also notes in class on two way interaction (graphs and tables)And don't forget how to calculate variance and work through steps to determine level (scale) of measurement. Some of the questions will require you to incorporate aspects of your proposal into the answer.

Text: Whitley: Principles of Research in Behavioral Research

Chapter 7 The Experimental Research Strategy (p. 181)             

• experimental and control conditions
• characteristics of a good manipulation
• between v. within designs
• factorial designs & interaction effects
• • Purposes of using factorial instead of one-way ANOVAs
  • Factors and levels in various designs, e.g. 2X3X4.
  • Meaning of interaction
  • Kinds of main effects and interactions, being able to plot means from a graph to a table and vice versa (fig 14.3 and handout)
  • Be able to calculate MS and F, and determine if main effects or interactions are significant (p. 383) and Appendix, Table E in 

   

 Chapter 12 Data Collection (p. 389)

• sampling types
• post experimental interview
• ethics in data collection                            

 Chapter 13 Interpreting Research Results (p. 425)

• nature of relationships

• inferential v. descriptive statistics

• effect size importance in testing theory v. applied research

• sources of type II error

• identifying implications for research              

 Chapter 14 The External Validity of Research (p. 451)               

• components of external validity: structural/functional/conceptual

• how the components operate in your study

• advantages & disadvantages of lab v. natural settings an external validity

Chapter 11 Survey Research (p. 343)

• advantages and disadvantages of open v. closed questions
• levels of measurement in question design
• multi-item scale types
• person-related biases

 Chapter 8 The Correlational (Passive) Research Strategy p. 221

• assumptions of correlational research
• forms of multiple regression analysis
• problems of multicollineartiy
• MRA as alternative to ANOVA
• Logistic regression
• mediation
• two types of FACTOR ANALYSIS

   

  • Understand the functions of the intercept and slope for bivariate and MR
  • What residuals are (p. 761)
  • Difference between correlation and regression
  • Understand components of the regression equation (MR)
  • Difference between b and beta coefficients (p. 777)
  • R square and eta square
  • What shrinkage is and when to be concerned about it (p. 771)

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  Chapter 15 Evaluation Research p. 477

  • purpose of program evaluation
  • needs assessment
  • proximal and distal outcomes
  • target population
  • true v. quasi experimental designs
  • cost/benefit analysis
  • use of difference scores