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COUN 6328S COUN 6626 RESEARCH AND PROGRAM EVALUATION Week 2 Quiz Test Bank & Study Guide Updated Master Edition.pdf

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COUN 6328S COUN 6626 RESEARCH AND PROGRAM EVALUATION Week 2 Quiz Test Bank & Study Guide Updated Master E

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WALDEN UNIVERSITY
GRADUATE COUNSELING PROGRAMS




COUN 6328S / COUN 6626:
RESEARCH AND PROGRAM EVALUATION
Week 2 Quiz Test Bank & Study Guide
2026-2027 Updated Master Edition


Course Identifier: COUN 6328S & COUN 6626 (Research & Program Evaluation)

Subject Domain: Research Methods, Measurement, & Descriptive Statistics

Academic Target: 2026-2027 Update Exam Preparation

Practice Standard: Verified 100% Grade A Quality Benchmarks

Test Bank Capacity: 50 Rigorous, Self-Contained Practice Questions

Analysis & Explanations: Comprehensive rationales for correct and incorrect alternatives




DESIGN AND QUALITY INTEGRITY COMPLIANCE STATEMENT:
This exam compilation serves as a highly structured, evidence-based academic study guide. All core questions are
aligned with standard research and counseling measurement definitions, including sampling rigor, reliability indices,
measurement scales, qualitative trustworthiness, and descriptive statistics. In alignment with clinical learning objectives,
every practice question has been appended with complete pathophysiological and statistical reasoning.

,COUN 6328S / COUN 6626: RESEARCH AND PROGRAM EVALUATION




TABLE OF CONTENTS


SECTION 1: EXAM BLUEPRINT & CURRICULUM ANALYSIS Page 3

1.1 Core Scales of Measurement & Variables Page 3

1.2 Measures of Central Tendency & Skewness Page 3

1.3 Statistical Hypothesis Testing, Power, & Error Profiles Page 4

1.4 Classical Reliability Theory & Measurement Consistency Page 4

1.5 Construct Validity & Criterion Measurement Page 4

1.6 Experimental, Quasi-Experimental, & Single-Case Research Page 5

1.7 Qualitative Paradigm, Trustworthiness, & Analysis Methods Page 5

SECTION 2: VERIFIED MASTER PRACTICE QUESTIONS Page 6

Core Questions 1 to 25 (Standard Week 2 Content) Page 6

Advanced Questions 26 to 50 (Comprehensive Research Extension) Page 22




2026-2027 UPDATED MASTER EXAM PREPARATION TEST BANK Page 2

, COUN 6328S / COUN 6626: RESEARCH AND PROGRAM EVALUATION




SECTION 1: EXAM BLUEPRINT & CURRICULUM ANALYSIS

To achieve a Grade A benchmark on the COUN 6328S / COUN 6626 Advanced Research and Program
Evaluation final curriculum, students must master both the quantitative and qualitative paradigms of social
science research. The following diagnostic blueprint outlines the core topics represented across the
50-question updated exam compilation.

1.1 Core Scales of Measurement & Variables
Counseling researchers must distinguish variables based on their level of mathematical measurement:
• Nominal Scale: Classifies data into qualitative, mutually exclusive categories without inherent rank (e.g.,
biological sex, ethnicity, or preferred therapeutic modality). These are discrete variables.
• Ordinal Scale: Categorizes and rank-orders data, but the distance between intervals is unequal or
unmeasurable (e.g., ranking of favorite interventions or Likert scale agreement levels).
• Interval Scale: Possesses ordered categories with mathematically equal distances between units, but lacks a
true physical zero point. Standardized intelligence quotient (IQ) scores or depression scale indices are classic
interval measures.
• Ratio Scale: The most mathematically sophisticated scale, possessing ordered units, equal intervals, and a
true physical absolute zero representing the complete absence of the property being measured. This allows for
proportional multiplication and division (e.g., age, weight, therapy duration in minutes).

1.2 Measures of Central Tendency & Skewness
Descriptive statistics summarize datasets using indexes of center and spread:
• Mean: The mathematical average (the sum of scores divided by n). While highly useful, the mean is highly
sensitive to extreme scores or outliers.
• Median: The physical middlemost score in a sorted list. The median is robust against extreme outliers and is
the preferred index of center for skewed distributions (e.g., analyzing student performance when one student
scores unusually low).
• Mode: The score that occurs most frequently in a dataset. Useful for identifying nominal trends.
• Distribution Skewness: In a normal (symmetrical) distribution, the mean, median, and mode are identical
and perfectly centered. In a skewed distribution, extreme scores in the tail pull the mean away from the center.
For example, in a positively skewed distribution, the mean is pulled higher than the median and mode.




2026-2027 UPDATED MASTER EXAM PREPARATION TEST BANK Page 3

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