Skip to content

Choosing the Right Statistical Test Guide

Area IV — Conducting Evaluation and Research

TL;DR

This lesson covers choosing the right statistical test guide as part of Area IV — Conducting Evaluation and Research. Key topics include overview of common statistical tests: t-test, anova, chi-square, correlation, regression, how to match the test to the research question and data type, parametric vs non-parametric tests. Focus on understanding how these concepts are applied in real-world health education scenarios and how NCHEC frames them in exam questions.

In Video 45 of the CHES & MCHES certification prep series, we take an in-depth look at choosing the right statistical test guide. This lesson falls under Area IV — Conducting Evaluation and Research, one of the core competency areas defined by the National Commission for Health Education Credentialing (NCHEC). Whether you are preparing for your initial CHES certification or advancing to the MCHES level, mastering this content is essential for exam success and professional practice.

This video helps you choose the right statistical test for different research scenarios. Knowing which test to use is a common topic on the CHES and MCHES exams.

Area IV focuses on Conducting Evaluation and Research Related to Health Education. This area tests your knowledge of evaluation design, data analysis, and evidence-based decision making. Understanding both formative and summative evaluation is essential for demonstrating program effectiveness.

Understanding overview of common statistical tests: t-test, anova, chi-square, correlation, regression is a key component of this competency area. The NCHEC expects certified health education specialists to demonstrate not only theoretical knowledge of this concept but also the ability to apply it in real-world public health scenarios. Understanding how to match the test to the research question and data type is a key component of this competency area. The NCHEC expects certified health education specialists to demonstrate not only theoretical knowledge of this concept but also the ability to apply it in real-world public health scenarios. Understanding parametric vs non-parametric tests is a key component of this competency area. The NCHEC expects certified health education specialists to demonstrate not only theoretical knowledge of this concept but also the ability to apply it in real-world public health scenarios. Understanding decision flowchart for selecting statistical tests is a key component of this competency area. The NCHEC expects certified health education specialists to demonstrate not only theoretical knowledge of this concept but also the ability to apply it in real-world public health scenarios. Understanding practice scenarios for exam preparation is a key component of this competency area. The NCHEC expects certified health education specialists to demonstrate not only theoretical knowledge of this concept but also the ability to apply it in real-world public health scenarios.

This topic appears frequently on the CHES and MCHES certification exams. Scenario-based questions in this area often require you to identify the most appropriate course of action given a specific public health context. Pay close attention to the distinctions between similar concepts, as NCHEC exam writers frequently use closely related answer choices as distractors. Reviewing this material alongside practice questions will help reinforce your understanding and improve your test-taking confidence.

As you work through this content, consider how each concept connects to the broader health education process. The NCHEC exam blueprint emphasizes the integration of knowledge across all Areas of Responsibility. A strong candidate understands not only the individual competencies but also how assessment, planning, implementation, evaluation, advocacy, communication, leadership, and ethics work together in professional practice. Use this video lesson as a starting point, then deepen your understanding through additional study resources available at subthesis.com.

Key Topics Covered

  • Overview of common statistical tests: t-test, ANOVA, chi-square, correlation, regression
  • How to match the test to the research question and data type
  • Parametric vs non-parametric tests
  • Decision flowchart for selecting statistical tests
  • Practice scenarios for exam preparation

Frequently Asked Questions

Related Articles

Introduction

Master The Distractors Trap to Avoid

In this video, we focus on one of the biggest challenges on the CHES and MCHES exams — distractors. ...

Area III — Implementing Health Education/Promotion

Transtheoretical Model Stages of Change

In this video, we cover the Transtheoretical Model (TTM), also known as the Stages of Change model. ...

Area IV — Conducting Evaluation and Research

Evaluation vs Research: Key Differences

We begin Area IV by examining the fundamental differences between evaluation and research. While the...

Watch the Video LessonWatch Video 45: Choosing the Right Statistical Test Guide→
Explore more study tools and resources at subthesis.com