This course provides the foundation of statistical analysis, focusing solely on descriptive statistics and the use of statistics in institutional research.
- Characteristics of Variables
- Summaries of Data I
- Summaries of Data II
Task Modules and Exercises
Describe the Respondents: Uses descriptive statistics to examine survey data to determine the demographics of survey respondents.
Summarize an Issue with Missing Data: Demonstrates techniques and strategies for dealing with missing data.
Summarizing Categorical Data: Uses categorical data to examine student learning profiles (number of students per major, identifying the most popular major, and the demographics of students within that major).
Working with Survey Data – Student Retention: Demonstrates how to use survey data to look at student retention patterns.
Interpreting Data Appropriately: Demonstrates how to run basic descriptive statistics in Excel; using mean, median and mode to examine and explain a particular variable.
Benchmarking: Demonstrates how to use descriptive statistics to analyze benchmark data and arrive at conclusions.
Knowledge & Skills Taught
- Understanding mean, median, mode
- Understanding standard deviation
- Using the data dictionary
- Dealing with missing data
- Sorting and filtering data
- Recoding data
- Identifying key variables
- Analyzing variable relationships
- Preparing descriptive statistics in Excel
- Using the Excel Analysis Tool Pack
- Combing data from multiple data files
- Creating a cross-tabulation table
- Creating a histogram
- Creating a box and whisker plot
- Creating pie charts
- Creating bar charts
$700 ($600 for AIR members)
Apr 01 - May 26