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Research Methods and Statistics: An Introduction

A Primer in Research Methodology and Statistics in the Social Sciences
3.8 (39 ratings)
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441 students enrolled
Last updated 5/2015
English
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Includes:
  • 7.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What Will I Learn?
Choose the right research method
Choose the right statistical technique to be used with the research method
Understand when to apply which statistical procedure
Evaluate, infer, and understand a product, situation, services, or a treatment option through statistics
Interpret statistical literature, research articles, and the claims made on the basis of statistics
Make informed choices with respect to methodology and research design
Apply this knowledge by conducting sound research in Psychology
View Curriculum
Requirements
  • Ideally, you should have some interest in research, or at least be curious about research :)
Description

The Research Methodology and Statistical Reasoning Course includes topics ranging from what is a variable to, where can one use a two-way ANOVA. Statistics are widely used in social sciences, business, and daily life. Given the pervasive use of statistics, this course aims to train participants in the rationale underlying the use of statistics. This course aims to explain when to apply which statistical procedure, the concepts that govern these procedures, common errors when using statistics, and how to get the best analysis out of your data. Research methodology is used a base to explain statistical reasoning. The course also familiarises you with commonly used software for statistical analysis. The course will take 11 hours to complete, including one contact hour with the course instructor after completion of the workshop. The course is divided into 11 broad sections, which include 59 lectures and 21 quizzes. Participants would benefit from the course because understanding basic research methodology and statistics is essential prior to taking up any research-related endeavour. It is also an important part of the college curriculum from undergraduate to PhD levels. Designing research methods requires knowledge about various methods and understanding data. The comprehensive nature of the course ensures that students and professionals are not only able to understand, but also apply the course content. The course not only includes course content, but instructors that are approachable after completing it, who will provide feedback and address your specific needs.

Who is the target audience?
  • This Research Methodology and Statistical Reasoning Course is meant for Undergraduate students, Postgraduate students, MPhil students, PhD students, Professionals and Faculty pursuing research or practice. No prior knowledge of research methods is required. Any person with basic understanding and interest in research and statistics is welcome to attend.
  • If you have advanced training in research methods and statistics, this course may not be applicable to your needs.
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Curriculum For This Course
Expand All 60 Lectures Collapse All 60 Lectures 08:11:25
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Importance of Statistics and Understanding Basic Concepts
4 Lectures 41:54

In this lecture, we will be give you an introduction to research methodology and statistics, and also run you through the various sections of this course.

Preview 09:33

In this lecture, we will discuss important concepts in research methodology, which include population, sample, parameter and statistic.

Population and Sample
10:43

In this lecture, we will discuss two important concepts in research-- the Research Problem and Hypothesis.

Research Problem and Hypothesis
09:48

This lecture will introduce one of the most important concepts of research, which is the variable.

Variables
11:50

Importance of Statistics and Understanding Basic Concepts
5 questions
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Research Methods and Design
11 Lectures 01:29:42

In this lecture, we will introduce research designs and one important type of research design, namely, the experimental design.

The Experimental Method
08:53

The Experimental Method
5 questions

This lecture will discuss one type of experimental research design known as the Between subjects design. We will also discuss its types, advantages, and disadvantages.

Between Subjects or Independent Groups Design
07:47

Between Subjects or Independent Groups Design
5 questions

This lecture will discuss the second type of experimental design known as Within-subjects design, and its types, advantages, and disadvantages.

Repeated Measures or Within Subjects Design
07:58

Repeated Measures or Within Subjects Design
5 questions

In this lecture, we will discuss the third type of experimental design known as Complex/Factorial design, and its characteristics, benefits, and limitations.

Complex/Factorial Design
09:19

Complex or Factorial Design
5 questions

This lecture will introduce the second type of research design, known as the Non-experimental research design.

Non-Experimental Design
06:02

In this lecture, we will discuss one type of non-experimental research design, known as Quasi-experimental research design, and its characteristics, benefits and limitations.

Quasi-Experimental or Natural Groups Design
06:13

Non-Experimental, Quasi-Experimental, and Natural Groups Design
5 questions

This lecture will discuss another type of non-experimental research method known as the Observational method.

Observational Methods: Types
10:28

In this lecture, we will learn about the data analyses used with Observational data and Descriptive data.

Data Analyses of Observational and Descriptive Data
08:30

In this lecture, we will be discussing another type of non-experimental design, known as the Case Study. We will also learn its features, purposes, advantages, and disadvantages.

Case Study
07:21

In this lecture, we will learn about a research method that is extensively used in the social sciences --the Survey Method.

Survey Research
08:44

Observational Methods, Case Study, Survey Research
7 questions

In this lecture, we will discuss the various factors that help us decide which research method will suit a particular research problem.

Choosing the Right Research Method
08:27
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Normal Curve and its importance in Choosing a Statistic
2 Lectures 13:58

This lecture will introduce the Normal Curve and its properties.

The Normal Curve and its Properties
06:42

In this lecture, we will learn about concepts like Skewness, Kurtosis, and the various tests used for determining the normality of your data.

Skewness, Kurtosis, and Tests of Normality
07:16

Normal Curve and its Importance in Choosing a Statistic
5 questions
+
Steven's Levels of Measurement
4 Lectures 28:55

In this lecture, we will introduce Levels of measurement, and the first type of level of measurement known as the Nominal Scale.

Nominal Scale
08:00

In this lecture, we will discuss the second type of level of measurement, known as the Ordinal scale.

Ordinal Scale
06:05

In this lecture, we will learn about the third level of measurement, known as the Interval scale.

Interval Scale
07:20

In this lecture, we will discuss the fourth level of measurement, known as the Ratio scale.

Ratio Scale
07:30

Stevens' Levels of Measurement
5 questions
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Descriptive Statistics
7 Lectures 44:46

In this lecture, we will introduce the most basic level of statistical analysis, known as Descriptive statistics.

Descriptive Statistics: An Overview
08:31

In this lecture, we will learn about one of the main types of descriptive statistics -- Measures of Central Tendency and the Mean.

Measures of Central Tendency: Mean
07:55

This lecture will introduce two other measures of central tendency, namely, the Median and the Mode.


Measures of Central Tendency: Median, Mode
07:36

In this lecture, we will learn about another type of descriptive statistic - the Measures of Variability or Dispersion.

Measures of Variability or Dispersion: Range
05:32

This lecture will introduce the concept of Quartlie Deviation, as a measure of variability.

Measures of Variability or Dispersion: Quartile Deviation
04:40

In this lecture, we will discuss another measure of variability known as Variance.

Measures of Variability or Dispersion: Variance
05:04

In this lecture, we will learn about another measure of variability, known as Standard Deviation.

Measures of Variability or Dispersion: Standard Deviation
05:28

Descriptive Statistics
5 questions
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Inferential Statistics
6 Lectures 51:49

In this lecture, we will introduce the second type of statistical computation, known as Inferential Statistics and their uses.

Inferential Statistics: An Overview
07:42

This lecture will introduce the concept of Null Hypothesis Testing and its importance in inferential statistics.

Null Hypothesis Testing
12:14

In this lecture, we will discuss the concept of Statistical Significance Testing and its associated concepts like Alpha levels and p-values.

Statistical Significance Testing
10:45

This lecture will introduce another important concept in inferential statistics, known as One-tailed and Two-tailed Tests.

One-Tailed and Two-Tailed Tests
08:49

In this lecture, we will learn about one more important concept, known as Degrees of Freedom and its uses in inferential statistics.

Degrees of Freedom
05:54

Inferential Statistics
5 questions

In this lecture, we will discuss another important concept in inferential statistics, known as Confidence Intervals.

Confidence Interval
06:25

Degrees of Freedom and Confidence Intervals
5 questions
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Parametric Tests
9 Lectures 01:13:55

This lecture will introduce the concept of Parametric Statistics, their assumptions, strengths, and weakness.

Parametric Tests: An Overview
08:38

Parametric Tests
5 questions

This lecture will introduce one type of parametric test, known as the t-test.

t-Tests
07:07

t-Tests
5 questions

In this lecture, we will learn about another type of parametric test, known as Analysis of Variance or ANOVA.

Analysis of Variance (ANOVA): Part 1
11:26

In this lecture, we continue discussing the types of ANOVAs and introduce the concept of Post-hoc tests and their uses.

Analysis of Variance (ANOVA): Part 2, Post Hoc Tests
11:08

Analysis of Variance
5 questions

In this lecture, we will learn about a parametric test known as Regression Analysis, its uses, and its types.

Regression: Simple and Multiple
08:54

Regression: Simple and Multiple
5 questions

In this lecture, we will introduce another type of statistical test known as Correlation.

Correlation: An Overview
05:01

In this lecture, we will learn about the parametric form of correlational analysis, known as Pearson's Product Moment Correlation.

Pearson's Product Moment Correlation
07:47

Correlation
5 questions

In this lecture, we will introduce the concept of outliers in data and how they affect various statistical computations.

Outliers
05:39

In this lecture, we will discuss the various ways to deal with outliers and other biases in correlation.

Dealing with Outliers
08:15
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Non-Parametric Tests
8 Lectures 41:42

This lecture will introduce the concept of Non-parametric Statistics and their assumptions

Non-Parametric Tests: Descriptions and Assumptions
06:46

In this lecture, we will learn about an important type of non-parametric test, known as the chi-square test and its types.

Chi-Square Test
09:10

In this lecture, we will introduce the sign test, another type of non-parametric test.

Sign Test
05:18

In this lecture, we will introduce another non-parametric test, known as Wilcoxon's Sign Rank Test.

Wilcoxon's Sign Rank Test
04:01

In this lecture, we will learn about another non-parametric test, known as the Median Test.

Median Test
04:10

This lecture will discuss a non-parametric test, known as the Mann-Whitney U Test.

Mann-Whitney U Test
03:56

In this lecture, we will introduce two types of non-parametric tests -- the Kruskal Wallis Test and Friedman's Two-Way ANOVA.

Kruskal Wallis Test and Friedman's Two-Way ANOVA
04:53

This lecture will introduce the non-parametric counterpart for correlation, known as Spearman's Rank Order Correlation.

Spearman's Rank Order Correlation
03:28

Non-Parametric Tests
5 questions
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Interpreting a Statistic
3 Lectures 31:02

In this lecture, we will discuss the various factors that are related to interpreting a statistic.

Factors Related to Interpreting a Statistic
10:24

In this lecture, we will discuss the various errors that influence the interpretation of statistical results.

Errors Made during Interpretation
10:42

In this lecture, we will learn about an important concept, known as Effect size and its significance in research.

Effect Size and Practical Significance
09:56

Interpreting a Statistic
5 questions
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Common Errors and Biases when Using Statistics
2 Lectures 19:03

In this lecture, we will learn about the common errors and biases that occur when using statistics.

Sources of Bias
08:40

This lecture will focus on some errors in research methodology.

Errors in Methodology
10:23

Common Errors and Biases when Using Statistics
5 questions
1 More Section
About the Instructor
4.0 Average rating
53 Reviews
481 Students
2 Courses
Not for Profit Academic Research Institution

Monk Prayogshala (Sec 25) is a not-for-profit academic research institution based in India and registered under the Companies Act, 1956. It is also among the most trusted training institutions in the field of academic research in India, with MP trained alumni regularly pursuing PhDs and Masters programs in the US, UK and Australia and working with reputed Non Government Organisations and NPOs to measure research impact and publish their work in high impact research journals. Monk Prayogshala comprises a team of Research Authors, Assistants and Interns currently working in the areas of psychological and economic academic research. The Prayogshala team aims to follow rigorous processes in the development of research proposals, while ensuring adherence to ethical considerations prescribed by international organisations, such as the American Psychological Association. This institution aims to enhance the practicability of the disciplines it functions in, through the use of research software, research databases and research management tools to facilitate the research process. The institution is known for international publications in the disciplines of Psychology and Economics, covering diverse research areas including negative creativity, gossip, and gender studies in Indian cinema, with a number of research publications under review. The institution aims to further the cause of academic research in and from India, and improve the quality and volume of the nation's research output into the global academic research community.

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