Research Methods and Statistics: An Introduction (2023 Ed.)

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

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.

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

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

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

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.

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

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

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.

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

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

This lecture will introduce the Normal Curve and its properties.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

This lecture will focus on some errors in research methodology.