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

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

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

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)

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

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

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

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

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.