NCE content area

NCE Research and Program Evaluation

Last updated September 29, 2026 · Published by Counseling Exam Assist

Short answer

This NCE area covers research designs (experimental, quasi-experimental, single-case, qualitative), statistics (mean, SD, correlation, t-test, ANOVA, chi-square), Type I and II errors, and needs assessment and program evaluation.

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Key concepts to know

ConceptWhat to remember
Type I / Type II errorType I = rejecting a true null (false positive, alpha). Type II = failing to reject a false null (beta).
Choosing a testt-test: 2 groups. ANOVA: 3+ groups. Chi-square: categorical/frequency data. Pearson r: relationship.
Validity threatsHistory, maturation, testing, instrumentation, regression to the mean, selection, attrition.
Qualitative traditionsPhenomenology, grounded theory, ethnography, case study, narrative.
Program evaluationFormative (during), summative (outcome), needs assessment (before).
Effect sizeCohen's d shows practical magnitude, separate from statistical significance.

Common traps on this section

  • Reading a correlation as causation.
  • Picking ANOVA when only two groups are compared.
  • Confusing formative and summative evaluation.

Sample NCE question

A researcher compares depression scores across four treatment groups. Which statistical test is most appropriate?

  1. Independent t-test
  2. Chi-square
  3. One-way ANOVA
  4. Pearson correlation
Show answer

One-way ANOVA. Comparing means across three or more groups on one independent variable calls for a one-way ANOVA.

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Frequently asked questions

How much statistics is on the NCE?

You need conceptual statistics, not calculation-heavy math: which test fits which design, what p-values and errors mean, and basic descriptive stats.

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