Applied Data Analysis
Syllabus  Fall 2017
Course Title:Ê Applied Data Analysis
Instructor:Ê Dr. Stephen J. Vodanovich
ÊÊÊÊÊÊÊÊÊÊÊÊ
Required text: ÊAldrich, J. O, & Cunningham, J. B. (2016). Using SPSS Statistics. SAGE Publications
Course Description:Ê The course will involve selecting appropriate statistical analyses, analyzing data using SPSS,
interpreting results, and communicating research findings for academic and applied audiences.Ê
Students should be able to:
1)Ê Understand he fundamentals of measurement and how this effects (e.g., limits) options for
ÊÊÊÊÊ statistical analysis.
2)Ê Know the functions, and strengths and limitations, of various statistical analyses.
3)Ê Select appropriate statistical techniques for a specific set of research questions.
4)Ê Perform and interpret results from Êa variety of statistical analyses (e.g., ttests, ANOVA,
ÊÊÊÊÊ reliability, regression, factor analysis)
5Ê Summarize and communicate research findings (verbally and in writing) for academic and
ÊÊÊ applied audiences.
6)Ê Construct or evaluate the psychometric properties of measurement devices (e.g., tests, scales,
ÊÊÊÊ surveys).
Ê
Approximate Timeline 

Date 
Topic 
Chapters 
Week 1 
Fundamentals of SPSS (e.g., data view, variable view, entering data, defining variables/values, levels of measurement)

3, 4 
Week 2 
Descriptive statistics, checking data
Data transformation (e.g., recode, compute)

5, 6, 11 
Week 3 
Creating graphs

8, 9 
Week 4 
Chisquare, Crosstabs; Correlation, Scatterplots

25, 19 
Week 5 
ttests, ANOVA, KrukalWallis Test

12, 13, 14, 15 
Week 6 
2way ANOVA, ANCOVA

16, 18 
Week 7 
Multiple Regression

21 
Week 8 
Reliability (e.g., internal consistency) and creating/evaluating tests (e.g., item difficulty, item x total score correlation) 
NA 
Week 9 

23 
Week 10 
Structural Equation Modeling (SEM) 
Grading:Ê
Assignments will be given that will involve choosing and performing the proper analysis in SPSS to answer specific research questions.Ê
Students will be required to summarize and interpret their findings for an academic and/or applied audience (typically a page or two in length).Ê
These summaries/interpretations will be in written form and via PowerPoint for selected students that will be scheduled in advance.
All assignments will be graded based upon the:
Choice of proper statistical analyses given the type of data and research question involved
Correct interpretation of results
Logical organization of material
Communication of statistical analyses and results in proper APA format (consistent with a Results section in an article)
Communication of any shortcomings and limitations with the analyses selected
Grading Scale 

A 
90 & above 
B+ 
8789 
B 
8386 
B 
8082 
C+ 
7779 
C 
7376 
C 
7072 
D+ 
6769 
D 
6066 
F 
59 and below 