Statistics For Social Science Research

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Dr Murugadas Ramdas

31:40

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1 - Introduction

1 - Introduction.mp4

01:21

2 - Lecture 2 Definition

2 - Definition of Statistics for Quantitative Research.mp4

00:48

3 - Lecture 3 Research Design.mp4

03:37

4 - Operational Definition and Variables.mp4

02:02

5 - Lecture 5 Measurement Scale.mp4

02:40

6 - Lecture 6 Hypothesis.mp4

02:57

7 - Lecture 7 Statistics and Research.mp4

01:37

8 - Lecture 8 Distribution and Central Tendency Measurement.mp4

02:11

9 - Lecture 9 Measures of Dispersion.mp4

04:52

10 - Lecture 10 Correlation.mp4

03:08

11 - Lecture 11 Inferential Statistics.mp4

06:27

Description

Quantitative Research, Statistics, Social Science

What You'll Learn?

1. Define statistics for quantitative research.
2. Distinguish between qualitative and quantitative research design
3. Identify the types of variables in research.
4. Classify the variables in four different scales of measurement.
5. Forming a hypothesis from a research question.
6. Applying descriptive statistics in social science research.

Who is this for?

Quantitative Researchers intending to seek basic knowledge in statistics for research

More details

Description
Data Analysis plays an important role in assisting researchers and students conducting quantitative research studies. However, some researchers and students have trouble identifying and understanding the appropriate types of statistics to use in data analysis when conducting research. This issue can cause errors in the findings of research studies they conduct. Taking this issue into account, a course titled Statistics for Social Science Research has been produced. The main objective of this course is to help researchers and students identify appropriate statistics to use in data analysis in their quantitative research.
The course titled Statistics for Social Science Research enables a user to master the following statistical knowledge and skills: -
1. Define statistics in research.
2. Distinguish between qualitative and quantitative types of research.
3. Identify the types of variables in research.
4. Classify variables in four different measurement scales.
5. Forming a hypothesis from a research question.
6. Applying descriptive statistics in research.
7. Choosing the appropriate statistical inference method for a research.
8. Conduct tests on hypotheses using inferential statistics. In carrying out the tests, the user should be able to: -
i. Differentiate between verbal (in the form of sentences) and symbolic (in the form of statistical symbols) hypotheses
ii. Identifying significant values and statistical test values.
iii. Interpreting results and drawing conclusions.
This course has several impacts on users as follows:-
a) Users can improve existing statistical skills that allow them to analyze data in research more effectively
b) Users can perform statistical applications in research more effectively.
c) Users can develop the use of descriptive and inferential statistics in research.
d) Users are more confident in themselves in choosing appropriate statistical methods in research.
Who this course is for:
Quantitative Researchers intending to seek basic knowledge in statistics for research

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I have 20 years experience in teaching, Economics, Statistics and Data Analysis. I have assisted postgraduate student to complete their thesis or dissertation. I believe in providing a simple method to assist student in meeting the objectives of the study. The material of my courses will able to enhance your motivation towards gaining a specific knowledge that is intended.

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