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Follow the reasoning in a worked case. Test it in a different situation. Know what to read next.
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Statistics for Counseling Research
A reading path through related lessons. Shared lessons can appear in more than one path. View curriculum coverage and limits →
What this path helps you do
- Practice supported here
- Select analyses from the design and measurement level, work through small examples, and interpret magnitude and uncertainty.
- Preparation
- Start with assessment statistics, then work through test selection and effect interpretation.
- Where to go further
- The examples do not cover all advanced models, software procedures, or assumptions required for your own dataset.
Scores, distributions & statistical meaning
Interpret a score using its scale, reference group, and uncertainty.
Choosing a statistical test & reading its result
Connect an analysis to the design, measurement, and assumptions.
Effect sizes, intervals & practical meaning
Explain what a result means beyond a significance label.
Sampling, assignment & valid conclusions
Separate who enters a study from how groups are formed.
Reliability is not validity
Distinguish consistency from evidence supporting an interpretation.
Confidence intervals explained with a counseling example
Calculate an interval from a mean, standard deviation, sample size, and supplied critical value.
Statistical significance versus practical importance
Interpret a p value in relation to the specified model.
Independent study support alongside coursework and supervision. Course paths are editorial reading lists, not complete university courses. Find your program’s reading map →