CRAN/E | DBERlibR

DBERlibR

Automated Assessment Data Analysis for Discipline-Based Education Research

Installation

About

Discipline-Based Education Research scientists repeatedly analyze assessment data to ensure question items’ reliability and examine the efficacy of a new educational intervention. Analyzing assessment data comprises multiple steps and statistical techniques that consume much of researchers’ time and are error-prone. While education research continues to grow across many disciplines of science, technology, engineering, and mathematics (STEM), the discipline-based education research community lacks tools to streamline education research data analysis. ‘DBERlibR’—an ‘R’ package to streamline and automate assessment data processing and analysis—fills this gap. The package reads user-provided assessment data, cleans them, merges multiple datasets (as necessary), checks assumption(s) for specific statistical techniques (as necessary), applies various statistical tests (e.g., one-way analysis of covariance, one-way repeated-measures analysis of variance), and presents and interprets the results all at once. By providing the most frequently used analytic techniques, this package will contribute to education research by facilitating the creation and widespread use of evidence-based knowledge and practices. The outputs contain a sample interpretation of the results for users’ convenience. User inputs are minimal; they only need to prepare the data files as instructed and type a function in the 'R' console to conduct a specific data analysis.\n For descriptions of the statistical methods employed in package, refer to the following Encyclopedia of Research Design, edited by Salkind, N. (2010) doi:10.4135/9781412961288.

Key Metrics

Version 0.1.3
Published 2022-12-06 500 days ago
Needs compilation? no
License AGPL-3
CRAN checks DBERlibR results

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Maintainer

Maintainer

Changsoo Song

csong7@unl.edu

Authors

Changsoo Song

aut / cre

Resa Helikar

aut

Wendy Smith

aut

Tomas Helikar

aut

Material

Reference manual
Package source

Vignettes

DBERlibR-vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Imports

car
dplyr
emmeans
ggplot2
ggpubr
ggrepel
psych
readr
reshape
rstatix
tibble

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0