Research Methods and Statistics: An Introduction
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The Research Methodology and Statistical Reasoning Course includes topics ranging from what is a variable to, where can one use a twoway 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 researchrelated 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.
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Section 1: Importance of Statistics and Understanding Basic Concepts  

Lecture 1  09:33  
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. 

Lecture 2  10:43  
In this lecture, we will discuss important concepts in research methodology, which include population, sample, parameter and statistic. 

Lecture 3  09:48  
In this lecture, we will discuss two important concepts in research the Research Problem and Hypothesis. 

Lecture 4  11:50  
This lecture will introduce one of the most important concepts of research, which is the variable. 

Quiz 1 
Importance of Statistics and Understanding Basic Concepts

5 questions  
Section 2: Research Methods and Design  
Lecture 5  08:53  
In this lecture, we will introduce research designs and one important type of research design, namely, the experimental design. 

Quiz 2 
The Experimental Method

5 questions  
Lecture 6  07:47  
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. 

Quiz 3 
Between Subjects or Independent Groups Design

5 questions  
Lecture 7  07:58  
This lecture will discuss the second type of experimental design known as Withinsubjects design, and its types, advantages, and disadvantages. 

Quiz 4 
Repeated Measures or Within Subjects Design

5 questions  
Lecture 8  09:19  
In this lecture, we will discuss the third type of experimental design known as Complex/Factorial design, and its characteristics, benefits, and limitations. 

Quiz 5 
Complex or Factorial Design

5 questions  
Lecture 9  06:02  
This lecture will introduce the second type of research design, known as the Nonexperimental research design. 

Lecture 10  06:13  
In this lecture, we will discuss one type of nonexperimental research design, known as Quasiexperimental research design, and its characteristics, benefits and limitations. 

Quiz 6 
NonExperimental, QuasiExperimental, and Natural Groups Design

5 questions  
Lecture 11  10:28  
This lecture will discuss another type of nonexperimental research method known as the Observational method. 

Lecture 12  08:30  
In this lecture, we will learn about the data analyses used with Observational data and Descriptive data. 

Lecture 13  07:21  
In this lecture, we will be discussing another type of nonexperimental design, known as the Case Study. We will also learn its features, purposes, advantages, and disadvantages. 

Lecture 14  08:44  
In this lecture, we will learn about a research method that is extensively used in the social sciences the Survey Method. 

Quiz 7 
Observational Methods, Case Study, Survey Research

7 questions  
Lecture 15  08:27  
In this lecture, we will discuss the various factors that help us decide which research method will suit a particular research problem. 

Section 3: Normal Curve and its importance in Choosing a Statistic  
Lecture 16  06:42  
This lecture will introduce the Normal Curve and its properties. 

Lecture 17  07:16  
In this lecture, we will learn about concepts like Skewness, Kurtosis, and the various tests used for determining the normality of your data. 

Quiz 8 
Normal Curve and its Importance in Choosing a Statistic

5 questions  
Section 4: Steven's Levels of Measurement  
Lecture 18  08:00  
In this lecture, we will introduce Levels of measurement, and the first type of level of measurement known as the Nominal Scale. 

Lecture 19  06:05  
In this lecture, we will discuss the second type of level of measurement, known as the Ordinal scale. 

Lecture 20  07:20  
In this lecture, we will learn about the third level of measurement, known as the Interval scale. 

Lecture 21  07:30  
In this lecture, we will discuss the fourth level of measurement, known as the Ratio scale. 

Quiz 9 
Stevens' Levels of Measurement

5 questions  
Section 5: Descriptive Statistics  
Lecture 22  08:31  
In this lecture, we will introduce the most basic level of statistical analysis, known as Descriptive statistics. 

Lecture 23  07:55  
In this lecture, we will learn about one of the main types of descriptive statistics  Measures of Central Tendency and the Mean. 

Lecture 24  07:36  
This lecture will introduce two other measures of central tendency, namely, the Median and the Mode. 

Lecture 25  05:32  
In this lecture, we will learn about another type of descriptive statistic  the Measures of Variability or Dispersion. 

Lecture 26  04:40  
This lecture will introduce the concept of Quartlie Deviation, as a measure of variability. 

Lecture 27  05:04  
In this lecture, we will discuss another measure of variability known as Variance. 

Lecture 28  05:28  
In this lecture, we will learn about another measure of variability, known as Standard Deviation. 

Quiz 10 
Descriptive Statistics

5 questions  
Section 6: Inferential Statistics  
Lecture 29  07:42  
In this lecture, we will introduce the second type of statistical computation, known as Inferential Statistics and their uses. 

Lecture 30  12:14  
This lecture will introduce the concept of Null Hypothesis Testing and its importance in inferential statistics. 

Lecture 31  10:45  
In this lecture, we will discuss the concept of Statistical Significance Testing and its associated concepts like Alpha levels and pvalues. 

Lecture 32  08:49  
This lecture will introduce another important concept in inferential statistics, known as Onetailed and Twotailed Tests. 

Lecture 33  05:54  
In this lecture, we will learn about one more important concept, known as Degrees of Freedom and its uses in inferential statistics. 

Quiz 11 
Inferential Statistics

5 questions  
Lecture 34  06:25  
In this lecture, we will discuss another important concept in inferential statistics, known as Confidence Intervals. 

Quiz 12 
Degrees of Freedom and Confidence Intervals

5 questions  
Section 7: Parametric Tests  
Lecture 35  08:38  
This lecture will introduce the concept of Parametric Statistics, their assumptions, strengths, and weakness. 

Quiz 13 
Parametric Tests

5 questions  
Lecture 36  07:07  
This lecture will introduce one type of parametric test, known as the ttest. 

Quiz 14 
tTests

5 questions  
Lecture 37  11:26  
In this lecture, we will learn about another type of parametric test, known as Analysis of Variance or ANOVA. 

Lecture 38  11:08  
In this lecture, we continue discussing the types of ANOVAs and introduce the concept of Posthoc tests and their uses. 

Quiz 15 
Analysis of Variance

5 questions  
Lecture 39  08:54  
In this lecture, we will learn about a parametric test known as Regression Analysis, its uses, and its types. 

Quiz 16 
Regression: Simple and Multiple

5 questions  
Lecture 40  05:01  
In this lecture, we will introduce another type of statistical test known as Correlation. 

Lecture 41  07:47  
In this lecture, we will learn about the parametric form of correlational analysis, known as Pearson's Product Moment Correlation. 

Quiz 17 
Correlation

5 questions  
Lecture 42  05:39  
In this lecture, we will introduce the concept of outliers in data and how they affect various statistical computations. 

Lecture 43  08:15  
In this lecture, we will discuss the various ways to deal with outliers and other biases in correlation.


Section 8: NonParametric Tests  
Lecture 44  06:46  
This lecture will introduce the concept of Nonparametric Statistics and their assumptions


Lecture 45  09:10  
In this lecture, we will learn about an important type of nonparametric test, known as the chisquare test and its types. 

Lecture 46  05:18  
In this lecture, we will introduce the sign test, another type of nonparametric test. 

Lecture 47  04:01  
In this lecture, we will introduce another nonparametric test, known as Wilcoxon's Sign Rank Test. 

Lecture 48  04:10  
In this lecture, we will learn about another nonparametric test, known as the Median Test. 

Lecture 49  03:56  
This lecture will discuss a nonparametric test, known as the MannWhitney U Test. 

Lecture 50  04:53  
In this lecture, we will introduce two types of nonparametric tests  the Kruskal Wallis Test and Friedman's TwoWay ANOVA. 

Lecture 51  03:28  
This lecture will introduce the nonparametric counterpart for correlation, known as Spearman's Rank Order Correlation. 

Quiz 18 
NonParametric Tests

5 questions  
Section 9: Interpreting a Statistic  
Lecture 52  10:24  
In this lecture, we will discuss the various factors that are related to interpreting a statistic. 

Lecture 53  10:42  
In this lecture, we will discuss the various errors that influence the interpretation of statistical results. 

Lecture 54  09:56  
In this lecture, we will learn about an important concept, known as Effect size and its significance in research. 

Quiz 19 
Interpreting a Statistic

5 questions  
Section 10: Common Errors and Biases when Using Statistics  
Lecture 55  08:40  
In this lecture, we will learn about the common errors and biases that occur when using statistics. 

Lecture 56  10:23  
This lecture will focus on some errors in research methodology. 

Quiz 20 
Common Errors and Biases when Using Statistics

5 questions  
Section 11: Software for Statistical Computations  
Lecture 57  05:40  
This lecture will introduce a software used for statistical computations, known as Statistical Package for Social Sciences (SPSS). 

Lecture 58  10:25  
This lecture will introduce a software used for statistical computations, known as R 

Lecture 59  09:34  
This lecture will introduce a software used for statistical computations, known as PSPP


Quiz 21 
Software for Statistical Computations

5 questions  
Lecture 60 
Course Notes
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Monk Prayogshala (Sec 25) is a notforprofit 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.