Introduction to Quantitative Research

This course provides a foundational overview of quantitative methods, equipping learners with the essential tools to analyze and interpret numerical data for research and decision-making.

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About this Course

This course offers a foundational introduction to quantitative methods, focusing on the principles and techniques used to collect, analyze, and interpret numerical data. Participants will explore key concepts such as variables, measurement, sampling, and basic statistical analysis. By the end of the course, learners will be equipped with the essential skills to apply quantitative methods in research, evaluation, and data-driven decision-making.

Language Availability: English

Suggested Audiences: Faculty, Higher Education Administrators, Postdocs, Students

Organizational Subscription Price: Included in Foundations in Research Methods series, available as part of an organizational subscription package or as a subscription add-on for $1,000 per year/per site for government and non-profit organizations; $1,200 per year/per site as a subscription add-on for for-profit organizations
Independent Learner Price: $99 per person

Demo Instructions

Course Content

Introduction to Quantitative Research

This module introduces you to what quantitative research is and is not, as well as its goals, strengths, and benefits.

Recommended Use: Required
ID (Language): 21752 (English)
Author(s): Angela Bruch, PhD - Capella University; Ellen Mink, PhD - Capella University

The Problem Statement, Purpose Statement, and Research Question

This module provides an overview of the starting points that set the foundation for a research study.

Recommended Use: Required
ID (Language): 21753 (English)
Author(s): Angela Bruch, PhD - Capella University; Ellen Mink, PhD - Capella University

Research Design

This module will be your roadmap, guiding you through the two main designs: experimental and non-experimental.

Recommended Use: Required
ID (Language): 21754 (English)
Author(s): Angela Bruch, PhD - Capella University; Ellen Mink, PhD - Capella University

Measurement Tools and Instruments

This module offers insights into how quantitative researchers collect data using tools (instruments) that quantify variables in consistent, reliable, and valid ways.

Recommended Use: Required
ID (Language): 21755 (English)
Author(s): Angela Bruch, PhD - Capella University; Ellen Mink, PhD - Capella University

Sampling and Data Collection

This module discusses the principles and practices involved in sampling and data collection.

Recommended Use: Required
ID (Language): 21756 (English)
Author(s): Angela Bruch, PhD - Capella University; Ellen Mink, PhD - Capella University

Descriptive Statistics

It is important for researchers to first check their data to ensure everything is in order. Errors, missing data, and outliers can skew your analyses and reduce the validity of your results. The next step is creating a picture of your data using descriptive statistics, tables, and figures. This sets the stage for your analysis.

Recommended Use: Required
ID (Language): 21757 (English)
Author(s): Angela Bruch, PhD - Capella University; Ellen Mink, PhD - Capella University

Inferential Statistics

Inferential statistics will allow you to test your ideas about your data.

Recommended Use: Required
ID (Language): 21758 (English)
Author(s): Angela Bruch, PhD - Capella University; Ellen Mink, PhD - Capella University

Research Ethics

This module is designed to provide a comprehensive overview of the fundamental principles of ethical research.

Recommended Use: Required
ID (Language): 21759 (English)
Author(s): Angela Bruch, PhD - Capella University; Ellen Mink, PhD - Capella University

FAQs

Who should take the Introduction to Quantitative Research course?

The suggested audience includes all faculty, staff, students, and postdocs who want an in-depth course on quantitative research, evaluation, and data-driven decision-making.

How long does it take to complete the Introduction to Quantitative Research course?

This course consists of eight required modules. Each module should take approximately 20-30 minutes to complete.

What are the standard recommendations for learner groups?

This course is designed such that learners should complete all eight required modules in the recommended sequence.

Is this course eligible for continuing medical education credits?

This course does not currently have CE/CME credits available.

Why should an organization subscribe to this course?

Organizational subscriptions provide access to the organization's affiliated members. This allows organizations to equip faculty, staff, students, and postdocs with the skills to develop, conduct, and analyze quantitative research.

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