Section: Module 3: Lesson 3: Quantitative Data Analysis: Hypothesis Testing and Tests of Significance | Research Methods for Health Sciences

Required Learning Resources and Activities

Quantitative Methods URL

Read the entire page. (17 minutes)

University of Southern California - 2021

Analyzing Quantitative Data for Evaluation URL

Read the entire page. (9 minutes)

CDC - 2018

Scales of Measurement and Presentation of Statistical Data URL

Read the entire page. (16 minutes)

Annals of Cardiac Anaesthesia - 2018

Levels of Measurement URL

Read the following sections:
-Introduction
-Nominal
-Ordinal
-Ratio
-Interval and watch the videos that accompany each. (11 minutes)

University of Nottingham School of Health Sciences - 2016

Adapted - Quantitative Data URL

Read the entire document. (11 minutes)

NextGenu.org - 2019

Hypothesis Testing and Sampling. URL

Read the entire document. (4 minutes)

NextGenu.org - 2019

Introduction to Hypothesis testing URL

Read the entire document. (24 minutes)

University of Dallas

Tests of Significance URL

Read the entire document. (20 minutes)

University of West Georgia

What Statistical Analysis Should I Use? Statistical Analyses Using Stata URL

Read the entire document. (45 minutes)

UCLA - 2021

6 Basic Statistical Tools URL

Read the entire page. (40 minutes)

Food and Agriculture Organization of the United Nations

P-Values URL

Read the entire page. (6 minutes)

Boston University School of Public Health - 2019

What does the p value really mean? URL

Read the entire article. (5 minutes)

Sociedade Brasileira de Pneumologia e Tisiologia: Continuing Education: Scientific Methodology - 2015

Asynchronous Learning Activity 7: Quantitative Data Analysis (200 minutes). Forum

In this activity, you will write the first part of the "Data Analysis" section of your research proposal. It will include a description of the type of data you expect to collect in the quantitative component and the analysis strategy(ies) you plan to utilize.

Step 1: Review

Review the following resources from the lesson’s readings:

Step 2: Respond

Write the first few paragraphs of the Data Analysis section of your proposal. Your post should be 200-350 words long. Ensure that you include:

Type of data to be collected
Appropriate data analysis strategy(ies) to be used for each type of data

Step 3: Self-Analysis and Enhancement

Before you submit, engage in an introspective self-analysis by systematically reviewing each component of your work. Reflect on what aspects of your work were executed well and what could be enhanced. Proceed to refine these elements in your work.

Step 4: Submit

To submit your work, click on the “Reply” button under this post and paste your work in the “Message” box. Make sure to reference others’ intellectual property when necessary. All references should follow 7th Edition APA formatting. For further instructions, see the resource on the Himmelfarb Health Sciences Library: APA citation resource (N.B. references are excluded from word counts).

OPTIONAL Step 5: Interact (10 minutes)

If you would like to, you can reply to your peers' posts in a respectful and professional manner. Ensure that your post engages your peers' ideas by including a reflection on their comments, sharing ideas of other potential difficulties and parties involved, or asking thought-provoking questions. If a peer comments on your posting, please reply. To post a reply, click “Reply” on a particular discussion, write your feedback and then click on “Post to forum.”

Quiz: Module 3

To access the quiz, click on the name of the quiz provided above. On the following screen, click the "Preview quiz now" button to respond to the questions.

TO PASS THIS QUIZ, YOU MUST OBTAIN A SCORE OF 12/15

Not available unless: The activity Quiz: Module 2 is complete and passed

Introduction

Course Registration

Peer Corner

Pre-Test

Module 1: Lesson 1: The History of Research and Evolution of Key Terminologies

Glossary of Research Terms.

Perspective: Dimensions of the scientific method

The Scientific Method.

Timeline of the Human Condition — Milestones in Evolution and History

Addiction Medicines Under Development

Discussion Forum 1: Scientific Method and the Development of Modern Society (200 minutes).

Scientific Method

Module 1: Lesson 2: Research Theory: Paradigms, Methodologies, and Designs in Health Research

An Expose of the Relationship between Paradigm, Method and Design in Research.

Research Paradigms: A Slippery Slope for Fresh Researchers

Understanding Depression from Different Paradigms: Toward an Eclectic Social Work Approach

Understanding and Applying Research Paradigms in Educational Contexts

Asynchronous Learning Activity 1: A video presentation explaining the approaches to studying a research problem using different paradigms and their strengths and weaknesses (200 minutes).

Module 1: Lesson 3: Research Ethics and Integrity

Importance of consent in the research

What is Ethics in Research &amp; Why is it Important?

Guiding Principles for Ethical Research.

Foundations of Integrity in Research: Core Values and Guiding Norms.

Research Ethics Timeline

The Nuremberg Code 70 Years Later

The Belmont Report at 40: Reckoning With Time

Ethical Challenges of Researchers in Qualitative Studies: The Necessity to Develop a Specific Guideline.

How to obtain informed consent for research

Ethical Issues in Research Involving Participants With Opioid Use Disorder

Discussion Forum 2: Informed Consent (210 minutes).

Module 2: Lesson 1: Research Problems and Research Questions

Formulating the Research Problem

Research Problem: Identification and Formulation

Mixed-Methods Research

Formulation of Research Question – Stepwise Approach

Difference between Quantitative and Qualitative Research Question-PICO vs. SPIDER

Quantitative Research Questions.

Asynchronous Learning Activity 2: Research Problem Statement and Questions (120 minutes).

Module 2: Lesson 2: Research Aims and Research Objectives

Setting a research question, aim and objective

Developing Research Aims and Objectives

Asynchronous Learning Activity 3: Research Aims and Objectives (120 minutes).

Module 2: Lesson 3: Research Hypotheses

Original Research: Creating a Hypothesis

Research Questions and Hypotheses

Visually Hypothesising in Scientific Paper Writing: Confirming and Refuting Qualitative Research Hypotheses Using Diagrams

Developing Research Questions: Hypotheses and Variables

Asynchronous Learning Activity 4: Research Hypotheses (120 minutes).

Qualitative versus Quantitative Research

Module 3: Lesson 1: Quantitative Study Designs

A nurses’ guide to the hierarchy of research designs and evidence

Evidence-Based Research: Levels of Evidence Pyramid

Study designs

Selecting the Appropriate Study Design for your Research: Descriptive Study Designs.

Study Designs: Part 2 – Descriptive Studies.

Observational and interventional study design types; an overview

Design, Applications, Strengths and Weaknesses of Cross-Sectional, Analytical Studies (Including Cohort, Case-Control and Nested Case-Control Studies), and Intervention Studies (Including Randomised Controlled Trials).

Observational Study Designs: Synopsis for Selecting an Appropriate Study Design

Quasi-experimental study designs series – Paper 4: uses and value

Module 2: Research Design - Section 2

Types and Phases of Clinical Trials

Discussion Forum 3: Selecting Appropriate Study Designs (180 minutes)

Asynchronous Learning Activity 5: Quantitative Study Design Selection (120 minutes).

Module 3: Lesson 2: Sampling and Data Collection for Quantitative Research

Sampling Strategy and Sample Size Calculation.

Sampling Methods in Research Methodology: How to Choose a Sampling Technique for Research.

Data Collection Methods in Quantitative Research.

Selecting Data Collection Methods.

Asynchronous Learning Activity 6: Quantitative Data Collection (120 minutes).

Module 3: Lesson 3: Quantitative Data Analysis: Hypothesis Testing and Tests of Significance

Quantitative Methods

Analyzing Quantitative Data for Evaluation

Scales of Measurement and Presentation of Statistical Data

Levels of Measurement

Adapted - Quantitative Data

Hypothesis Testing and Sampling.

Introduction to Hypothesis testing

Tests of Significance

What Statistical Analysis Should I Use? Statistical Analyses Using Stata

6 Basic Statistical Tools

What is Ethics in Research & Why is it Important?

Systematic Reviews & Other Review Types.