Statistic Requirement Options

Refresher Statistics Options 

Some students who have not taken recent statistics courses might choose to take a 5000-level statistics course prior to taking the more advanced courses in the program. Some advisors recommend taking a course in the summer before beginning the PhD program. 

Some options for students wishing to take a refresher statistics course at the University of Minnesota include:

EPSY 5261: Introductory Statistical Methods

PUBH 6414: Biostatistical Literacy

Note: these courses are recommended as a refresher but do not meet the PhD statistics requirement if entering the program fall 2015 or later

Statistics Requirement 

There are two statistics course sequences that fulfill the PhD in Nursing statistics requirement. Students should consult with their advisor when selecting the course sequence as they may have recommendations based upon the anticipated research topic. The following considerations may be helpful:

• On-line or Face-to-Face (varies) 

• Focus (General, Behavioral, Bio-statistical)

• Any requirements within a formal PhD minor that might be needed 

Courses that meet the Nursing PhD statistics requirement:

• PUBH 6450 and PUBH 6451 (Biostatistics I and II)

• EPSY 8251 and EPSY 8252 (Statistical Methods in Education I and II)

Additional Statistics & Methods Course Options

The following courses are additional statistics and methods courses that could be taken to enhance your PhD In Nursing curriculum. Course, term and online component options vary amongst the courses. 

• NURS 8195: Mixed Methods in the Social, Behavioral and Applied Health Sciences

• PSY 5862: Measurement/Classical Test Theory 

• PSY 5865: Measurement/Item Response Theory

• PUBH 6541: Statistics for Health Management Decision-Making

• PUBH 6617: Practical methods for Secondary Data Analysis 

• PUBH 6810: Survey Research Methods

• PUBH 7415: Introduction to Clinical Trials

• PUBH 7250: Designing and Conducting Focus Group Interviews

• PUBH 8235: Latent Variable Measurement Models and Path Analysis

• PUBH 8462: Advanced Survival Analysis

• EPSY 5245: Survey design, Sampling and Implementation

• EPSY 5245: Advanced Survey Data Analysis

• EPSY 8264: Advanced Regression 

• EPSY 8265: Factor Analysis 

• EPSY 8266: Statistical Analysis Using Structural Equation Methods

• EPSY 8267: Applied Multivariate Analysis

• EPSY 8268: Hierarchical Linear Modeling in Educational Research

• EPSY 8282: Statistical Analysis of Longitudinal Data

• STAT 8051: Advanced Regression