Quantitative research design for a proposal

Name: Quantitative research design for a proposal
Rating: 4.3 (111 reviews)

Complete quantitative research design course including the approach, the questionnaire, sampling and proposed analyses

Created byHennie Gerber

Last updated 1/2022

English

What you'll learn

Overview of the research process
Overview of the problem discovery step
Choose a research approach
Design the research instrument or questionnaire
Conduct sampling
Choose the relevant statistical analyses
Align the research questions with the analyses and questionnaire
Create an online questionnaire on Survey Monkey
What format the data must be for statistical analysis

Course content

10 sections • 51 lectures • 7h 51m total length

Introduction7:31
Overview of the research process

Introduction to Problem discovery1:29
Introduction to problem discovery
The research Problem2:02
Discussion of the research problem
Research Questions2:37
Discussion of research questions
Research Hypotheses5:07
Discussion of Research Hypotheses
Example ABC study research problem9:21
An example PhD study(ABC study) considering problem discovery.
Conclusions of the Problem discovery section2:34
Test your learning: Problem discovery

Introduction to research design2:54
Introduction to research design
Research Approaches8:10
Discussion of quantitative qualitative and mixed method approaches
The research goal2:44
The research goal
Type of research design5:18
Decide on the type of research design.
Experimental design20:03
Experimental designs when using a questionnaire as research instrument.
Example ABC study: the research design3:54
An example PhD study(ABC study) considering the research design.
Conclusions of the research design section4:00
Conclusions of the research design section
Test your learning: Research Design

Introduction to the research instrument1:58
Introduction to the research instrument section.
Structure of the questionnaire5:22
Discussion of the structure of the questionnaire
Tips for questionnaire design7:49
Validation of constructs in the questionnaire part A11:03
Discussion of validation of constructs in the questionnaire with Exploratory Factor Analysis part I.
Validation of constructs in the questionnaire part B19:31
Discussion of validation of constructs in the questionnaire with Exploratory Factor Analysis part II.
Reliability of the constructs in the questionnaire part A.12:02
Discussion of reliability of constructs in the questionnaire with the Cronbach Alpha Coefficient part A.
Reliability of the constructs in the questionnaire part B13:28
Discussion of reliability of constructs in the questionnaire with the Cronbach Alpha part II.
The scale construction process14:01
Discussion of the scale construction process: validation, reliability
Choosing a validated scale14:04
Choosing a validated scale for using in your questionnaire.
Pre-testing the questionnaire10:06
Pre-testing the questionnaire before sending out the final questionnaire
Example ABC study: the questionnaire13:14
An example PhD study(ABC study) considering the questionnaire.
Conclusions of the research instrument section6:06
Test your learning: Research Design

Introduction to sampling6:40
Introduction to the sampling section
Generalization in sampling7:18
The criteria to be able to generalize from a sample to a population is discussed.
Probability and non-probability sampling3:12
Probability sampling methods17:16
Probability sampling methods, methods that a probability of being sampled can be determined.
Non-Probability sampling methods9:34
Non-Probability sampling methods, methods that NO probability of being sampled can be determined.
Determining sample size part A18:07
Determining sample size when using a questionnaire as research instrument part A.
Determining sample size part B.26:36
Determining sample size when using a questionnaire as research instrument part B.
Example ABC study: sampling12:01
An example PhD study(ABC study) considering sampling.
Conclusions of the sampling section6:07
Conclusions of the sampling section.
Testing your learning: Sampling

Introduction to statistical technique2:49
Introduction to statistical techniques
Variables and analysis14:34
Discussion of variables and analysis.
Choose a statistical technique for your study part A.20:40
Choose a statistical technique for your study part A.
Choose a statistical technique for your study part B.18:13
Choose a statistical technique for your study part B.
Modelling and frameworks17:04
Modeling and frameworks
Moderation and mediation4:51
Discussion of mediation and moderation variables. In statistics moderation is interaction.
Example ABC study: analyses12:44
An example PhD study(ABC study) considering statistical analysis.
Conclusions of the analysis section3:15
Conclusions of the analysis section.
Test your learning: Analysis

Requirements

Researchers busy with a research proposal using the quantitative approach with a questionnaire as research instrument. This could be a Master's or Doctoral Proposal.

Description

WHY should you consider this workshop?

“To consult the statistician after an experiment is finished, is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.”

This quote is from the Statistician R.A. Fisher, this workshop will assist with the research design in order to ensure that it is correctly applied.

Who should attend:

Everyone considering quantitative research including lecturers, students, as well as other quantitative researchers before data is gathered.

The goal of this workshop is to help prepare the student with the design of a research project to ensure that the research approach, research design, sampling and questionnaire is done in such a way that the research questions can be answered by conducting statistical analysis.

Here’s some things you’re going to learn:

The correct research approach, and design for the quantitative study.
How to have valid and reliable constructs for the questionnaire.
How to sample in the correct manner and have a large enough sample size for analysis.
Which statistical techniques to use to test the research hypotheses.
Make sure the research hypotheses, questionnaire and statistical analyses are aligned.
What format the data must be in for statistical analysis.
How to distribute the questionnaire online.
An example PhD is used throughout the course.

Completing this course you will have the knowledge to have your proposal ready for submitting to the research committee.

Who this course is for:

Quantitative researchers. Master's students or PhD students busy with a proposal. Please note that the research instrument discussed will be a questionnaire.

Quantitative research design for a proposal

What you'll learn

Explore related topics

Course content

The research process1 lecture • 8min

Problem discovery6 lectures • 23min

Research design(approaches and type of design)7 lectures • 47min

The research instrument(questionnaire)12 lectures • 2hr 9min

Sampling9 lectures • 1hr 47min

Statistical Analyses8 lectures • 1hr 34min

Aligning the research questions/hypotheses and analyses2 lectures • 18min

Data gathering3 lectures • 31min

Data format and capturing2 lectures • 12min

Conclusions1 lecture • 2min

Requirements

Description

Who this course is for: