Mastering your quantitative research thesis from A to Z

Mastering your quantitative research thesis from A to Z, available at $29.99, has an average rating of 3.9, with 50 lectures, based on 11 reviews, and has 114 subscribers.

You will learn about Conceptualize quantitative research projects. Develop a quantitative research question. Plan the data collection of your quantitative study. Conduct the data analysis using JASP (an open source software package for statistical analysis). This course is ideal for individuals who are Students writing their quantitative Bachelor's or Master's thesis or Qualitative researchers undertaking their first quantitative project It is particularly useful for Students writing their quantitative Bachelor's or Master's thesis or Qualitative researchers undertaking their first quantitative project.

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Summary

Title: Mastering your quantitative research thesis from A to Z

Price: $29.99

Average Rating: 3.9

Number of Lectures: 50

Number of Published Lectures: 50

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: €22.99

Quality Status: approved

Status: Live

What You Will Learn

Conceptualize quantitative research projects.
Develop a quantitative research question.
Plan the data collection of your quantitative study.
Conduct the data analysis using JASP (an open source software package for statistical analysis).

Who Should Attend

Students writing their quantitative Bachelor's or Master's thesis
Qualitative researchers undertaking their first quantitative project

Target Audiences

Students writing their quantitative Bachelor's or Master's thesis
Qualitative researchers undertaking their first quantitative project

Undertaking a quantitative research thesis is super exciting. And frightening!

In a typical thesis project, there are many issues popping up and it is easy to see why many students are frightened by them. Every single issue presents a novel, unique challenge.

But that is only true from the individual perspective.

Supervising hundreds of theses on all levels, it is relatively easy to see a pattern. It’s always the same problems that cause headaches!

So in this course, I distill my experience with helping students overcome these challenges. I’ll also add some wisdom gained on my own through the school of hard knocks in academia. I’ll help you with every step of the research process – finding a topic, collecting data, analyzing data, and writing everything up in an orderly manner.

This course is the ultimate guide for any student who wants to master their (quantitative) thesis: We cover a range of topics, for example:

An overview over the Research Process
Planning Your Data Collection
Choosing a Research Method/Statistical Test
Writing Your Introduction
Writing Your Method Section and Results
Discussing your work
….

PS: For the analytical part, I will explain everything using JASP, an open-source software that is built on the might R framework for statistical computing. So no need to investing expensive statistical software licenses!

So: See you in the course?

Yours

Dominik

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course overview

Lecture 2: The focus of this course

Lecture 3: The research process

Chapter 2: PHASE 1: Posing your research question and getting set up

Lecture 1: Your research topic

Lecture 2: Finding your topic

Lecture 3: Activity: Topic-finding workshop

Lecture 4: Narrowing down your topic

Lecture 5: Explore the "flexible parts" of your research question

Lecture 6: Develop your Hypotheses

Lecture 7: Scoping literature review

Lecture 8: Use a literature manager

Lecture 9: Start writing the intro and theory section

Lecture 10: Why start writing now?

Chapter 3: PHASE 2: Collecting data

Lecture 1: Introduction to data collection

Lecture 2: Secondary data

Lecture 3: Collect primary data

Lecture 4: How many measurement points?

Lecture 5: How to collect data?

Lecture 6: Whom to ask? Sampling

Lecture 7: Considering sample size

Lecture 8: What to ask or observe? Instruments

Lecture 9: Reuse instruments!

Lecture 10: How many questions to ask?

Lecture 11: Performing a cognitive pretest

Lecture 12: Start writing your methods section

Chapter 4: Phase 3a: Analyzing your data: Getting started

Lecture 1: What is JASP?

Lecture 2: Downloading and installing JASP (or using it online)

Lecture 3: Overview over the graphical user interface

Lecture 4: A look into the preferences

Lecture 5: Preparing the toolset

Lecture 6: Loading data

Lecture 7: A look at the data

Lecture 8: Manipulating data

Chapter 5: Phase 3a: Analyzing your data: Descriptives

Lecture 1: Descriptives basics

Lecture 2: Getting a visual overview

Lecture 3: More statistical metrics

Lecture 4: Summary

Chapter 6: Phase 3a: Analyzing your data: Testing foe Differences

Lecture 1: t-Test with one sample

Lecture 2: t-Test with independent samples

Lecture 3: t-Test with dependent samples

Lecture 4: ANOVA

Chapter 7: Phase 3a: Analyzing your data: Testing for Relationships

Lecture 1: Correlation

Lecture 2: Regression

Lecture 3: Mediation analysis

Chapter 8: PHASE 3b: Writing up your analysis, results, and discussion

Lecture 1: Finishing your methods section

Lecture 2: Write the results section

Lecture 3: Write the discussion section

Chapter 9: Post-Submission

Lecture 1: My revision workflow for responding to reviewer comments

Chapter 10: Q&A

Lecture 1: Can you "mix methods" in statistical software packages like JASP?

Chapter 11: Bonus

Lecture 1: Bonus resources

Instructors

Prof. Dominik FROEHLICH
Experte für Forschungsmethoden

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 4 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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