jamovi curriculum at Pre-PhD Course Work at University
Posted: Tue Jun 14, 2022 8:28 am
Dear ALL,
I have prepared a curriculum for introducing jamovi to the students (Arts and Humanities). Kindly suggest any changes. Thanking you in anticipation:
UNIT-II
Data Analysis Using R-based Statistical Analyses Tool - jamovi
Introduction to R, R studio
Level of Measurement & Data Variables
Types of statistical techniques
Introduction and Features of jamovi
Downloading and installing jamovi (solid & current version)
Navigating and Understanding User interface (UI)
Install, run, and navigate Jamovi and Jamovi Modules
Installing add-on modules into jamovi
Prepare data on jamovi: Importing from computer,
Changing data from one level to another
Save the Data Set
Importing and handling data
Updating data
UNIT-III
Using jamovi to undertake the following:
Cleaning And Restructuring Data in Spreadsheet software
Descriptive statistics
Distribution
Measures of central tendency:
mean,
median
mode
Measures of variability/ dispersion/ spread:
Standard deviation (SD)
Minimum and maximum values
Range,
Kurtosis,
Skewness
Relative position (quartiles, percentiles)
Normality test
Categorical Data Analysis
Tabulation
Frequency Tables
Contingency Tables
Pearson's Chi-Square (χ2) goodness of fit test
The Chi-Square (χ2) test of independence/association (two ordinal variables)
Correlation Analysis
Pearson r correlation (two continuous variables)
Spearman’s rank correlation (non-parametric) (two ordinal variables)
Kendall's tau correlation (non-parametric)
Correlation Matrix
UNIT-IV
Inferential Statistics
Reliability Analysis
t-tests (Statistical Significance)
The one-sample z-test
The one-sample t-test
The independent samples t-test
The paired-samples t-test
C. ANOVA (Analysis of Variance)
One-way ANOVA
Within-groups (Repeated measures) ANOVA
D. Simple Linear Regression
Other Non-parametric Tests (Non-Normal Data)
Mann-Whitney U-test/ Wilcoxon Rank Sum test (Independent samples)
Kruskal-Wallis H-test (For paired groups)
Friedman test
Data visualization & Other Useful Options
Histograms
Bar graphs
Boxplots
Q-Q Plots
Scatterplots
Pareto charts
Saving image files using jamovi
Running jamovi in R Syntax Mode: Rj module
jamovi library: Downloading/Installing additional Modules
Exporting Data Analysis Results in APA Style
Citing jamovi
Quitting jamovi
I have prepared a curriculum for introducing jamovi to the students (Arts and Humanities). Kindly suggest any changes. Thanking you in anticipation:
UNIT-II
Data Analysis Using R-based Statistical Analyses Tool - jamovi
Introduction to R, R studio
Level of Measurement & Data Variables
Types of statistical techniques
Introduction and Features of jamovi
Downloading and installing jamovi (solid & current version)
Navigating and Understanding User interface (UI)
Install, run, and navigate Jamovi and Jamovi Modules
Installing add-on modules into jamovi
Prepare data on jamovi: Importing from computer,
Changing data from one level to another
Save the Data Set
Importing and handling data
Updating data
UNIT-III
Using jamovi to undertake the following:
Cleaning And Restructuring Data in Spreadsheet software
Descriptive statistics
Distribution
Measures of central tendency:
mean,
median
mode
Measures of variability/ dispersion/ spread:
Standard deviation (SD)
Minimum and maximum values
Range,
Kurtosis,
Skewness
Relative position (quartiles, percentiles)
Normality test
Categorical Data Analysis
Tabulation
Frequency Tables
Contingency Tables
Pearson's Chi-Square (χ2) goodness of fit test
The Chi-Square (χ2) test of independence/association (two ordinal variables)
Correlation Analysis
Pearson r correlation (two continuous variables)
Spearman’s rank correlation (non-parametric) (two ordinal variables)
Kendall's tau correlation (non-parametric)
Correlation Matrix
UNIT-IV
Inferential Statistics
Reliability Analysis
t-tests (Statistical Significance)
The one-sample z-test
The one-sample t-test
The independent samples t-test
The paired-samples t-test
C. ANOVA (Analysis of Variance)
One-way ANOVA
Within-groups (Repeated measures) ANOVA
D. Simple Linear Regression
Other Non-parametric Tests (Non-Normal Data)
Mann-Whitney U-test/ Wilcoxon Rank Sum test (Independent samples)
Kruskal-Wallis H-test (For paired groups)
Friedman test
Data visualization & Other Useful Options
Histograms
Bar graphs
Boxplots
Q-Q Plots
Scatterplots
Pareto charts
Saving image files using jamovi
Running jamovi in R Syntax Mode: Rj module
jamovi library: Downloading/Installing additional Modules
Exporting Data Analysis Results in APA Style
Citing jamovi
Quitting jamovi