Quantitative Research Design For A Proposal

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

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
Requirements
Researchers busy with a research Proposal. 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.

Overview

Section 1: The research process

Lecture 1 Introduction

Section 2: Problem discovery

Lecture 2 Introduction to Problem discovery

Lecture 3 The research Problem

Lecture 4 Research Questions

Lecture 5 Research Hypotheses

Lecture 6 Example ABC study research problem

Lecture 7 Conclusions of the Problem discovery section

Section 3: Research design(approaches and type of design)

Lecture 8 Introduction to research design

Lecture 9 Research Approaches

Lecture 10 The research goal

Lecture 11 Type of research design

Lecture 12 Experimental design

Lecture 13 Example ABC study: the research design

Lecture 14 Conclusions of the research design section

Section 4: The research instrument(questionnaire)

Lecture 15 Introduction to the research instrument

Lecture 16 Structure of the questionnaire

Lecture 17 Tips for questionnaire design

Lecture 18 Validation of constructs in the questionnaire part A

Lecture 19 Validation of constructs in the questionnaire part B

Lecture 20 Reliability of the constructs in the questionnaire part A.

Lecture 21 Reliability of the constructs in the questionnaire part B

Lecture 22 The scale construction process

Lecture 23 Choosing a validated scale

Lecture 24 Pre-testing the questionnaire

Lecture 25 Example ABC study: the questionnaire

Lecture 26 Conclusions of the research instrument section

Section 5: Sampling

Lecture 27 Introduction to sampling

Lecture 28 Generalization in sampling

Lecture 29 Probability and non-probability sampling

Lecture 30 Probability sampling methods

Lecture 31 Non-Probability sampling methods

Lecture 32 Determining sample size part A

Lecture 33 Determining sample size part B.

Lecture 34 Example ABC study: sampling

Lecture 35 Conclusions of the sampling section

Section 6: Statistical Analyses

Lecture 36 Introduction to statistical technique

Lecture 37 Variables and analysis

Lecture 38 Choose a statistical technique for your study part A.

Lecture 39 Choose a statistical technique for your study part B.

Lecture 40 Modelling and frameworks

Lecture 41 Moderation and mediation

Lecture 42 Example ABC study: analyses

Lecture 43 Conclusions of the analysis section

Section 7: Aligning the research questions/hypotheses and analyses

Lecture 44 Using the research consistency matrix to align your research

Lecture 45 Example ABC study: the research consistency matrix

Section 8: Data gathering

Lecture 46 Data gatering discussed

Lecture 47 Using the online survey tool Survey Monkey for data gathering

Lecture 48 Example ABC study: gathering data

Section 9: Data format and capturing

Lecture 49 Data format and capturing

Lecture 50 Conclusions of the data format section

Section 10: Conclusions

Lecture 51 Conclusions of the course

Quantitative researchers. Master's students or PhD students busy with a proposal