Language
Tags
March 2023
Su Mo Tu We Th Fr Sa
26 27 28 1 2 3 4
5 6 7 8 9 10 11
12 13 14 15 16 17 18
19 20 21 22 23 24 25
26 27 28 29 30 31 1

We've Got It All
Check our MagazineHub!

Statistics For Social Science Research

Statistics For Social Science Research
Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 595.35 MB | Duration: 0h 32m

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.

Requirements

Basic Statistics and Research Knowlesge

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) hypothesesii. 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 effectivelyb) 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.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Lecture 2 : Definition

Lecture 2 Definition of Statistics for Quantitative Research

Lecture 3 Lecture 3 : Research Design

Lecture 4 Operational Definition and Variables

Lecture 5 Lecture 5 : Measurement Scale

Lecture 6 Lecture 6 : Hypothesis

Lecture 7 Lecture 7 : Statistics and Research

Lecture 8 Lecture 8 : Distribution and Central Tendency Measurement

Lecture 9 Lecture 9 : Measures of Dispersion

Lecture 10 Lecture 10 : Correlation

Lecture 11 Lecture 11 : Inferential Statistics

Quantitative Researchers intending to seek basic knowledge in statistics for research