The Curriculum
The content of the sequence of stat courses is:
NURS 60N
- Fundamental Concepts
- Randomness & Variables
- Descriptive vs. Inferential Statistics
- Samples vs. Populations
- Standard Error of the Mean & Regression to the Mean
- Central Limit Theorem
- Evaluation vs. Research
- Parametric vs. Non-Parametric Analyses
- Descriptive Statistics
- Steven’s Levels of Measurement
- Central Tendency & Dispersion
- Frequency, Probability, & Odds
- Probabilities, Risks, & Hazards
- Odds
- Contingency Tables
- Fisher’s Exact Test
- Introduction to Distributions
- Normal Distribution
- χ² Distribution
- Applications of Distributions
- Confidence Intervals
- Standardization
- z Scores
- Variance & Covariance
- Correlations & Partial Correlations
- Signal-to-Noise Ratio
- Hypothesis Testing
- Null Hypothesis
- Power & Effect Size
- Sample Size Estimation
- t Tests
- Paired t test
- Two-Sample t Test (Equal & Unequal Samples)
- Introduction to Linear Regressions
- Method of Ordinary Least Squares
- Model Assumptions
- Introduction to ANOVAs
- Main Effects & Interactions
- Reading Source Tables
- R² & η²
- Family-Wise Error, Post hoc, & Planned Comparisons
- The ANOVA “Family” of Models: ANCOVAs, MANOVAs, & repeated-Measures ANOVAs
NURS 915 & 916
- Handling Data
- Presenting Data
- Linear Relationships
- Occurrence, Association, & Causation
- Counterfactuals & Hill’s Criteria
- Confounds, Mediators, & Moderators
- Ordinary Least Squares & Maximum Likelihood Estimation
- General & Generalized Linear Models
- Tests of Model Fit
- Information Criteria
- Residual Analysis
- Stepwise Analysis
- Bootstrapping
- Missing Values & Outliers
- Logistic Regression
- Multinomial & Ordinal Logistic Regression
- Hierarchical Regression
- Longitudinal Analyses
- Pre–Post Differences (“Differences in Differences”)
- (Repeated-Measures) ANCOVAs with Pretest as Covariate
- Multilevel Models of Change
- Interrupted Time Series Analysis
- Structural Equation Modeling
NURS 925
- Foundations of Measurement and Scaling
- Psychophysics & Psychometrics
- Validity
- Traditional, Trinity View
- The 1999–2014 Standards & Validity as “Use”
- Reliability
- Classical Measurement Theory View
- As a Measure of a Unitary Construct
- As a Measure of Internal Consistency
- Cronbach’s α
- Kuder-Richardson Formulae 20 & 21
- Other Forms (Test-Retest, etc.)
- Factor Analysis
- Concept and Basic Ideas
- Eigenvalues
- Exploratory Factor Analysis
- Uses and abuses
- Confirmatory Factor Analysis
- Measures of Model Fit
- Return to Structural Equation Modelling