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Teaching & Academics Social Science Research Methods

Research Methods and Statistics: An Introduction

A Primer in Research Methodology and Statistics in the Social Sciences
Rating: 4.2 out of 54.2 (605 ratings)
3,255 students
Created by Monk Prayogshala
Last updated 8/2020
English
30-Day Money-Back Guarantee

What you'll 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

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 this course is for:

  • 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.

Course content

11 sections • 60 lectures • 8h 11m total length

  • Preview09:33
  • Population and Sample
    10:43
  • Research Problem and Hypothesis
    09:48
  • Variables
    11:50
  • Importance of Statistics and Understanding Basic Concepts
    5 questions

  • The Experimental Method
    08:53
  • The Experimental Method
    5 questions
  • Between Subjects or Independent Groups Design
    07:47
  • Between Subjects or Independent Groups Design
    5 questions
  • Repeated Measures or Within Subjects Design
    07:58
  • Repeated Measures or Within Subjects Design
    5 questions
  • Complex/Factorial Design
    09:19
  • Complex or Factorial Design
    5 questions
  • Non-Experimental Design
    06:02
  • Quasi-Experimental or Natural Groups Design
    06:13
  • Non-Experimental, Quasi-Experimental, and Natural Groups Design
    5 questions
  • Observational Methods: Types
    10:28
  • Data Analyses of Observational and Descriptive Data
    08:30
  • Case Study
    07:21
  • Survey Research
    08:44
  • Observational Methods, Case Study, Survey Research
    7 questions
  • Choosing the Right Research Method
    08:27

  • The Normal Curve and its Properties
    06:42
  • Skewness, Kurtosis, and Tests of Normality
    07:16
  • Normal Curve and its Importance in Choosing a Statistic
    5 questions

  • Nominal Scale
    08:00
  • Ordinal Scale
    06:05
  • Interval Scale
    07:20
  • Ratio Scale
    07:30
  • Stevens' Levels of Measurement
    5 questions

  • Descriptive Statistics: An Overview
    08:31
  • Measures of Central Tendency: Mean
    07:55
  • Measures of Central Tendency: Median, Mode
    07:36
  • Measures of Variability or Dispersion: Range
    05:32
  • Measures of Variability or Dispersion: Quartile Deviation
    04:40
  • Measures of Variability or Dispersion: Variance
    05:04
  • Measures of Variability or Dispersion: Standard Deviation
    05:28
  • Descriptive Statistics
    5 questions

  • Inferential Statistics: An Overview
    07:42
  • Null Hypothesis Testing
    12:14
  • Statistical Significance Testing
    10:45
  • One-Tailed and Two-Tailed Tests
    08:49
  • Degrees of Freedom
    05:54
  • Inferential Statistics
    5 questions
  • Confidence Interval
    06:25
  • Degrees of Freedom and Confidence Intervals
    5 questions

  • Parametric Tests: An Overview
    08:38
  • Parametric Tests
    5 questions
  • t-Tests
    07:07
  • t-Tests
    5 questions
  • Analysis of Variance (ANOVA): Part 1
    11:26
  • Analysis of Variance (ANOVA): Part 2, Post Hoc Tests
    11:08
  • Analysis of Variance
    5 questions
  • Regression: Simple and Multiple
    08:54
  • Regression: Simple and Multiple
    5 questions
  • Correlation: An Overview
    05:01
  • Pearson's Product Moment Correlation
    07:47
  • Correlation
    5 questions
  • Outliers
    05:39
  • Dealing with Outliers
    08:15

  • Non-Parametric Tests: Descriptions and Assumptions
    06:46
  • Chi-Square Test
    09:10
  • Sign Test
    05:18
  • Wilcoxon's Sign Rank Test
    04:01
  • Median Test
    04:10
  • Mann-Whitney U Test
    03:56
  • Kruskal Wallis Test and Friedman's Two-Way ANOVA
    04:53
  • Spearman's Rank Order Correlation
    03:28
  • Non-Parametric Tests
    5 questions

  • Factors Related to Interpreting a Statistic
    10:24
  • Errors Made during Interpretation
    10:42
  • Effect Size and Practical Significance
    09:56
  • Interpreting a Statistic
    5 questions

  • Sources of Bias
    08:40
  • Errors in Methodology
    10:23
  • Common Errors and Biases when Using Statistics
    5 questions

Instructor

Monk Prayogshala
Not for Profit Academic Research Institution
Monk Prayogshala
  • 4.1 Instructor Rating
  • 734 Reviews
  • 3,769 Students
  • 3 Courses

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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