(IP&T - CPSE) Statistics 2: Multiple Regression
An examination of multiple regression as an inferential statistical procedure in its own right and as a foundation for subsequent courses in structural equation modeling, path analysis, and factor analysis.
IP&T
745
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesIP&T 629 & IP&T 651
 TaughtWinter
Course Outcomes: 


Conceptual understanding and practice application of statistics

Focusing more on concepts than computation will allow us to cover more ground with more practice of each concept. By integrating the course with training in SPSS, students will be prepared to select and execute appropriate analytical strategies in their applied research and practice.

Demonstrate fluency

  • All students will demonstrate fluency in SPSS commands and functions.
  • All students will demonstrate fluency in interpreting SPSS output files.
  • All students will demonstrate fluency in selecting the appropriate statistical analysis based on the research questions and the nature of the data.
  • All students will demonstrate fluency in interpreting SPSS output files.
  • All students will demonstrate fluency in selecting the appropriate statistical analysis based on the research questions and the nature of the data.
  • All students will demonstrate fluency in SPSS commands and functions.
  • All students will demonstrate fluency in interpreting SPSS output files.
  • All students will demonstrate fluency in selecting the appropriate statistical analysis based on the research questions and the nature of the data.
  • All students will demonstrate fluency in SPSS commands and functions.
  • All students will demonstrate fluency in interpreting SPSS output files.
  • All students will demonstrate fluency in selecting the appropriate statistical analysis based on the research questions and the nature of the data.