Stats Blog – Learning | Assessment | Technology

Multiplot Layouts Using Facets

ggplot2

tidyverse

statsglobe

R

facets

Data Visualization in R Using ggplot2 - Module 5

Validity is more important than cheating

cheating

acadmic integrity

validity

standards-based-grading

Philip Dawson, Margaret Bearman, Mollie Dollinger, and David Boud (Dawson et al., 2024) recently published an excellent article addressing cheating in higher education…

layered plotting

ggplot2

tidyverse

statsglobe

R

layers

Data Visualization in R Using ggplot2 - Module 4

grammar of graphics

ggplot2

tidyverse

statsglobe

R

grammar

Data Visualization in R Using ggplot2 - Module 2

aesthetic mapping

ggplot2

tidyverse

statsglobe

R

aes

Data Visualization in R Using ggplot2 - Module 3

ggplot & the tidyverse

ggplot2

tidyverse

statsglobe

R

Data Visualization in R Using ggplot2 - Module 1

OTESSA24

Colin Madland¹, Valerie Irvine¹, Christopher DeLuca², and Okan Bulut³

Technology-Integrated Assessment in BC Higher Education

BCcampus

fellowship

In the fall of 2021, I embarked on the BCcampus Student Research Fellowship, a project funded by BCcampus intended to promote research on teaching and learning in BC. My…

dsus_18 - Exploratory Factor Analysis

EFA

dsur

dsus

R

Notes here are from

discovr_05 - Visualizing Data

ggplot2

visualizing data

R

discovr

controls aesthetics of the plot

discovr_02 - Summarizing Data

frequency

histograms

variance

standard deviation

IQR

R

discovr

groups data by whatever variable(s) you name within the function

discovr_06 - The Beast of Bias

bias

R

discovr

Data that are arranged such that scores on a variable appear in a single column and rows represent a combination of the attributes of those scores – the entity from which…

discovr_07 - Associations

correlation

R

discovr

should be replaced with the name of tibble containing any variables to correlate

discovr_18 - Exploratory Factor Analysis

efa

R

discovr

library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr…

discovr_08 - General Linear Model

regression

R

discovr

assumption of equal or similar variances in different groups being compared

Simple Regression

505

Linear regression expresses the relationship between two variables, \(X_i\) and \(Y_i\).

Variance and Standard Deviation

intro stats

variance

standard deviation

\(sample variance=s^2=\frac{1}{n-1}‎‎\sum_i(x_i - \bar{x})^2\)

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