Importance of Statistics and Understanding Basic Concepts
  • Introduction to Research Methodology and Statistical Reasoning
  • Population and Sample
  • Research Problem and Hypothesis
  • Variables
  • Importance of Statistics and Understanding Basic Concepts
Research Methods and Design
  • The Experimental Method
  • The Experimental Method
  • Between Subjects or Independent Groups Design
  • Between Subjects or Independent Groups Design
  • Repeated Measures or Within Subjects Design
  • Repeated Measures or Within Subjects Design
  • Complex/Factorial Design
  • Complex or Factorial Design
  • Non-Experimental Design
  • Quasi-Experimental or Natural Groups Design
  • Non-Experimental, Quasi-Experimental, and Natural Groups Design
  • Observational Methods: Types
  • Data Analyses of Observational and Descriptive Data
  • Case Study
  • Survey Research
  • Observational Methods, Case Study, Survey Research
  • Choosing the Right Research Method
Normal Curve and its importance in Choosing a Statistic
  • The Normal Curve and its Properties
  • Skewness, Kurtosis, and Tests of Normality
  • Normal Curve and its Importance in Choosing a Statistic
Steven's Levels of Measurement
  • Nominal Scale
  • Ordinal Scale
  • Interval Scale
  • Ratio Scale
  • Stevens' Levels of Measurement
Descriptive Statistics
  • Descriptive Statistics: An Overview
  • Measures of Central Tendency: Mean
  • Measures of Central Tendency: Median, Mode
  • Measures of Variability or Dispersion: Range
  • Measures of Variability or Dispersion: Quartile Deviation
  • Measures of Variability or Dispersion: Variance
  • Measures of Variability or Dispersion: Standard Deviation
  • Descriptive Statistics
Inferential Statistics
  • Inferential Statistics: An Overview
  • Null Hypothesis Testing
  • Statistical Significance Testing
  • One-Tailed and Two-Tailed Tests
  • Degrees of Freedom
  • Inferential Statistics
  • Confidence Interval
  • Degrees of Freedom and Confidence Intervals
Parametric Tests
  • Parametric Tests: An Overview
  • Parametric Tests
  • t-Tests
  • t-Tests
  • Analysis of Variance (ANOVA): Part 1
  • Analysis of Variance (ANOVA): Part 2, Post Hoc Tests
  • Analysis of Variance
  • Regression: Simple and Multiple
  • Regression: Simple and Multiple
  • Correlation: An Overview
  • Pearson's Product Moment Correlation
  • Correlation
  • Outliers
  • Dealing with Outliers
Non-Parametric Tests
  • Non-Parametric Tests: Descriptions and Assumptions
  • Chi-Square Test
  • Sign Test
  • Wilcoxon's Sign Rank Test
  • Median Test
  • Mann-Whitney U Test
  • Kruskal Wallis Test and Friedman's Two-Way ANOVA
  • Spearman's Rank Order Correlation
  • Non-Parametric Tests
Interpreting a Statistic
  • Factors Related to Interpreting a Statistic
  • Errors Made during Interpretation
  • Effect Size and Practical Significance
  • Interpreting a Statistic
Common Errors and Biases when Using Statistics
  • Sources of Bias
  • Errors in Methodology
  • Common Errors and Biases when Using Statistics
Software for Statistical Computations
  • Statistical Package for Social Sciences: SPSS
  • R
  • PSPP
  • Software for Statistical Computations
  • Course Notes