Quantitative research design for a proposal
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
Course Information:
Udemy | English | 7h 51m | 3.23 GB
Created by: Hennie Gerber
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