Instructional Videos on Data Analysis

This instructional video, approximately 30 minutes in length, introduces thematic analysis in educational research using Braun and Clarke’s six-step framework. It covers the process of coding qualitative data, developing themes, and interpreting findings. 

This instructional video, approximately 6 minutes in length, introduces thematic synthesis based on the approach by Thomas and Harden. It outlines the steps of coding, developing descriptive themes, and generating analytical themes, commonly used in systematic reviews of qualitative research. 

This instructional video, approximately 23 minutes in length, explores reliability and validity in thematic analysis. It highlights the importance of interrater reliability, the role of multiple coders, and introduces a customised ChatGPT tool to support consistency in qualitative coding. 

This instructional video, approximately 16 minutes in length, introduces inter-rater reliability in qualitative research. It explains how to calculate the Percentage of Agreement and demonstrates the step-by-step process for computing Cohen’s Kappa to assess the consistency between coders. 

This instructional video, approximately 12 minutes in length, introduces descriptive analysis in quantitative research. It covers key statistical measures such as mean, median, mode, frequency, and standard deviation, helping viewers understand how to summarize and interpret quantitative data effectively. 

This instructional video, approximately 14 minutes in length, explains how to conduct a normality test in quantitative research. It introduces key concepts such as Shapiro-Wilk, and Kolmogorov-Smirnov tests, and guides viewers on how to assess whether data meet the assumptions for parametric analysis. 

This instructional video, approximately 9 minutes in length, introduces correlation analysis in quantitative research. It explains the differences between Pearson and Spearman correlation tests, when to use each, and how to interpret the strength and direction of relationships between variables. 

This instructional video, approximately 11 minutes in length, explains how to perform and interpret an independent sample t-test in quantitative research. It covers the assumptions, steps of analysis, and how to compare the means of two independent groups to determine statistical significance.  

This instructional video, approximately 12 minutes in length, explains how to conduct and interpret a paired sample t-test in quantitative research. It guides viewers through the assumptions, analysis steps, and how to compare the means of two related groups to assess significant differences. . 

This instructional video, approximately 16 minutes in length, introduces one-way ANOVA in quantitative research. It explains the assumptions, steps of analysis, and how to compare the means of three or more independent groups to determine if there are statistically significant differences. 

This instructional video, approximately 13 minutes in length, introduces Analysis of Covariance (ANCOVA) in quantitative research. It explains how to compare group means while controlling for the effects of one or more covariates, including assumptions, analysis steps, and interpretation of results. 

This instructional video, approximately 10 minutes in length, introduces crosstabulation (crosstab) in quantitative research. It explains how to examine relationships between categorical variables, interpret contingency tables, and apply Chi-square tests for significance.  

This instructional video, approximately 10 minutes in length, introduces the Wilcoxon Signed-Rank Test as a non-parametric alternative to the paired sample t-test. It explains when to use the test, how to conduct it, and how to interpret the results when data do not meet parametric assumptions.

This instructional video, approximately 10 minutes in length, introduces the Mann-Whitney U Test, a non-parametric alternative to the independent sample t-test. It explains when to use the test, how to perform it, and how to interpret results for comparing two independent groups when data are not normally distributed. 

This instructional video, approximately 13 minutes in length, explains how to calculate and interpret Cohen’s d as a measure of effect size in quantitative research. It covers the formula, thresholds for small, medium, and large effects, and the importance of reporting effect size alongside statistical significance. 

This instructional video, approximately 10 minutes in length, explains how to calculate and interpret eta squared (η²) as a measure of effect size in quantitative research. It focuses on its application in ANOVA, discusses interpretation thresholds, and highlights its role in understanding the practical significance of research findings. 

This instructional video, approximately 13 minutes in length, explains how to calculate and interpret Cohen’s d as a measure of effect size in quantitative research. It covers the formula, thresholds for small, medium, and large effects, and the importance of reporting effect size alongside statistical significance. 

This instructional video, approximately 10 minutes in length, explains how to calculate and interpret eta squared (η²) as a measure of effect size in quantitative research. It focuses on its application in ANOVA, discusses interpretation thresholds, and highlights its role in understanding the practical significance of research findings.