Mental Health Research, Statistics & Assessment Made Easy
Course Description
Are you ready to finally understand research, statistics, and psychological testing without feeling overwhelmed or lost in academic jargon? This course gives you the complete foundation in research and measurement used in psychology, counseling, education, coaching, social work, healthcare, and the behavioral sciences. Whether you’re a student, intern, helping professional, coach, educator, or lifelong learner, this course makes research simple, practical, and immediately useful. It’s also an excellent resource for exam preparation, including the NCE, NCMHCE, CPCE, ASWB exams, GRE Psychology, counseling licensure exams, and other assessments that require strong research and testing knowledge.
Beyond test prep, the skills taught in this course translate directly to real-world practice. You’ll learn how to interpret data, choose appropriate assessment tools, evaluate the quality of research, and apply evidence-based thinking to clinical work, coaching, teaching, program evaluation, case documentation, and organizational decision making. This makes the course ideal for therapists-in-training, mental health professionals, educators, coaches, supervisors, case managers, program directors, and anyone who wants to make informed, ethical, research-supported decisions in their professional role.
What You’ll Learn
By the end of this course, you will confidently understand:
Foundations of Research & Evidence-Based Practice
What it means to be a scientist-practitioner
How to think like a consumer of research
Why evidence-based practice is essential in mental health and education
The Data-Based Problem Solver (DBPS) Model
Variables, Hypotheses & Measurement
Independent vs. Dependent Variables
Operational definitions
Nominal, Ordinal, Interval, and Ratio scales
How measurement choices affect results
Descriptive Statistics Made Easy
Mean, Median, Mode
Variance, Range & Standard Deviation
Normal distribution & the Empirical Rule (68-95-99.7)
Z-scores, T-scores & standardized scores
Understanding skewed distributions
Validity & Reliability: The Core of Good Research
Content, Construct, Concurrent, & Predictive Validity
Test-Retest, Parallel Forms, Split-Half & Internal Consistency Reliability
Standard Error of Measurement (SEM)
Coefficient of Determination (r²)
Research Designs & Prediction Skills
True Experimental, Quasi-Experimental & Pre-Experimental Designs
Threats to internal & external validity
Correlational research, Pearson r & point biserial correlations
Time-series and single-subject (ABA/ABAB) designs
Assessment, Testing & Ethical Practice
Appraisal vs. formal testing
Objective vs. subjective tests
Forced-choice vs. free-choice formats
Norm-referenced, ipsative, speed & power tests
Achievement vs. aptitude
Ethical standards for assessment and interpretation
Who This Course Is For
This course is designed for anyone who wants to feel confident in research and testing, including:
Psychology & counseling students
Coaching and personal development professionals
Educators & academic professionals
Social workers & case managers
Healthcare professionals
Behavioral science learners
Anyone preparing for graduate school or licensure exams
Anyone who wants to better understand data, research, and assessment
No prior statistics knowledge needed—everything is explained clearly with real-world examples.
Why This Course Works
Beginner-friendly teaching
Highly structured modules
Clear explanations of statistical terms
Practical examples from mental health, education & coaching
Ethical considerations built into every lesson
Designed with Udemy’s search algorithm in mind using targeted keywords
Become Research-Confident — Enroll Now
If you’ve ever felt intimidated by research, statistics, or psychological measurement, this course will give you the clarity, confidence, and skills you’ve been missing.
Enroll today and start mastering research & assessment with confidence.
