Udemy - Introduction to Quantitative Research Methods

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.8 GB
  • Uploaded Byfreecoursewb
  • Downloads67
  • Last checkedOct. 20th '21
  • Date uploadedOct. 18th '21
  • Seeders 9
  • Leechers6

Infohash : D70A8E9B854D0D6C025A1EAC2BD0114D4B56E475

Introduction to Quantitative Research Methods



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 lectures (4h 12m) | Size: 1.05 GB
Doing quantitative research : research process & design, data collection (surveys, experiments), data analysis methods
What you'll learn:
How to use quantitative research methods in your research projects

Requirements
Some familiarity with basic statistical terminologies (typically first or second year university courses in statistics)

Description
This is an introductory course for people interested in learning about quantitative research methods. It is aimed at researchers and postgraduate students doing or planning to do quantitative research.

We start with an overview of the quantitative research process and discuss the main components which include research questions, research hypothesis, research design, data collection , and data analysis. We discuss the differences between research question and research hypothesis, and overview the important parts and expectations of research design (including ethics considerations).

https://CourseMega.com

Files:

[ CourseMega.com ] Udemy - Introduction to Quantitative Research Methods
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction & The Quantitative Research Process
    • 1. Introduction to the Course.mp4 (71.5 MB)
    • 2. The Quantitative Research Process.mp4 (53.9 MB)
    10. Overview of Dependence Techniques for Data Analysis
    • 1. Overview of Dependence Techniques AND Linear Regression Analysis.mp4 (84.9 MB)
    • 2. Overview of Dependence Techniques Analysis of Variance (ANOVA).mp4 (69.7 MB)
    • 3. Example of Structural Equations Modelling (SEM) as a Dependence Technique.mp4 (26.3 MB)
    • 4. Practice Session - Section 10.html (0.2 KB)
    11. Overview of Inter-Dependence Techniques for Data Analysis
    • 1. Overview of common inter-dependence techniques for data analysis.mp4 (33.9 MB)
    • 2. Practice Session -Section 11.html (0.2 KB)
    12. Overview of Prediction Techniques for Data Analysis
    • 1. Overview of prediction analysis techniques.mp4 (51.7 MB)
    • 2. Practice Session -Section 12.html (0.2 KB)
    13. Bonus Lecture and Wrap-Up
    • 1. Bonus lecture and wrap-up of the course.mp4 (40.0 MB)
    2. Research Questions and Research Hypotheses
    • 1. Research Questions versus Research Hypotheses.mp4 (62.7 MB)
    • 2. Discussions of practical examples of research questions and research hypotheses.mp4 (36.8 MB)
    • 3. Practice Session-Section 2.html (0.2 KB)
    3. Research Designs Considerations purpose, expectations, ethics
    • 1. Introduction to Research Design and Ethics Considerations.mp4 (39.8 MB)
    • 2. Purpose and Expectations of Research Designs for Quantitative Research.mp4 (29.5 MB)
    • 3. Practice Session- Section 3.html (0.2 KB)
    4. Research Designs in Practice
    • 1. Research designs for previously discussed research questions and hypotheses.mp4 (62.4 MB)
    • 2. Examples and discussions of research designs in published research articles.mp4 (65.3 MB)
    • 3. Practice Session -Section 4.html (0.2 KB)
    5. Overview of Data Collection Methods
    • 1. Introduction to data collection methods for quantitative research projects.mp4 (30.9 MB)
    • 2. Fundamentals of survey designs.mp4 (58.0 MB)
    • 3. Overview of different survey sampling techniques.mp4 (79.1 MB)
    • 4. Practice Session -Section 5.html (0.2 KB)
    6. Probability and Non-Probability Sampling Techniques for collecting data
    • 1. Probability Sampling Techniques (Part 1).mp4 (82.5 MB)
    • 2. Probability Sampling Techniques (Part 2).mp4 (87.0 MB)
    • 3. Examples of published articles using probability sampling techniques.mp4 (38.9 MB)
    • 4. Non-Probability sampling techniques.mp4 (99.4 MB)
    • 5. Examples of published articles using non-probability sampling techniques.mp4 (59.3 MB)
    • 6. Practice Session -Section 6.html (0.2 KB)
    7. Designed experiments for collecting data
    • 1. Introduction to designed experiments.mp4 (65.9 MB)
    • 2. Examples of various types of commonly used designed experiments.mp4 (56.8 MB)
    • 3. Principles of designed experiments (+ other data collection methods).mp4 (104.3 MB)
    • 4. Examples of published research articles using designed experiments.mp4 (63.3 MB)
    • 5. Practice Sessin - Section 7.html (0.2 KB)
    8. Sampling Size Considerations
    • 1. Required information for sample size calculations.mp4 (51.6 MB)
    • 2. Example of using software for sample size calculation for estimating proportions.mp4 (36.6 MB)
    • 3. Practice Sessin - Section 8.html (0.2 KB)
    9. Overview of Quantitative Data Analysis Methodologies & Exploratory Data Analysis
    • 1. Introduction to the main groups of quantitative data analysis methods.mp4 (35.1 MB)
    • 2. Overview of Exploratory Data Analysis (EDA) Techniques Part 1.mp4 (56.0 MB)
    • 3. Overview of Exploratory Data Analysis (EDA) Techniques Part 2.mp4 (62.0 MB)
    • 4. Practice Session - Section 9.html (0.2 KB)
    • Bonus Resources.txt (0.3 KB)

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