Upon successful completion of this course, students should be 
able to do the following:
       
1. Develop a web-based questionnaire with minimal measurement 
error.
2. Administer and collect data using a web-based questionnaire 
and a justified sampling regime.
3. Appropriately use SPSS software to:
   a. Describe sample demographics
   b. Determine construct validity and reliability
   c. Conduct item analyses within questionnaire constructs
   d. Compare groups of respondents using a t-test and Analysis 
of Variance (ANOVA)
   e. Conduct a correlation analysis between independent and 
dependent variables
   f. Develop a regression model using demographic variables 
to make predictions
4. Justify and defend their use of data collection and analysis 
procedures.
5. Differentiate between statistical significance and practical 
significance.
6. Interpret statistical findings from SPSS software and make 
accurate conclusions.
7. Summarize evaluation data using tables and figures.
8. Describe evaluation/statistical findings using non-technical 
language.
9. Develop an evaluation plan for a grant proposal.
10. Orally defend an evaluation plan before a panel of faculty 
members.

Developing a web-based questionnaire—best practices
Sampling regimes in the social sciences
Using the Statistical Package for the Social Sciences (SPSS) to 
examine and analyze data collected using a web-based 
questionnaire
Descriptive statistics with your data
Verifying validity and reliability with your data
Comparing groups using t-tests with your data
Comparing groups using analysis of variance (ANOVA) with your 
data
Examining relationships with your data using correlation
Making predictions using your data and multiple regression
Developing and defending evaluation plans within grant 
applications