IECD-538 Statistics II/Practice4 semester credits
This course introduces concepts in inferential statistics and builds on Statistics I by reviewing more in depth how to apply the basic concepts acquired in the previous course for statistical analysis of data in the context of Infant Mental Health and Developmental Disorders research. It introduces students to the use of computers for advanced data analysis (e.g., multiple regression, analysis of variance, factor analysis).
Pre-requisites: IECD-536
Delivery Method: Online
Grading Default: Letter
Learning Outcome(s):
Students successfully completing this course will be able to:
1. Prepare data for statistical analysis, including
a. Cleaning (identifying and repairing data entry and other errors)
b. Screening the data for violations of assumptions
c. Identifying outliers
2. Select appropriate inferential approaches for analyzing quantitative data from different types of research designs
a. Parametric-within and between subject designs
b. Non-parametric (distribution free)
3. Utilize SPSS to perform descriptive and inferential analyses
4. Interpret statistical results to evaluate research hypotheses
5. Explain your findings to others who may not know much about statistics.
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