literacy

In this package, students' literacy was defined based on two close-ended items asking the accessibility to available books in their home and digital facilities belong to the students.

A multidimensional dataset of students' performance assessment in high school physics. The SPHERE dataset was collected from 497 students in four public high schools specifically measuring their conceptual understanding, scientific ability, and attitude toward physics [see Santoso et al. (2024) <doi:10.17632/88d7m2fv7p.1>]. The data collection was conducted using some research based assessments established by the physics education research community. They include the Force Concept Inventory, the Force and Motion Conceptual Evaluation, the Rotational and Rolling Motion Conceptual Survey, the Fluid Mechanics Concept Inventory, the Mechanical Waves Conceptual Survey, the Thermal Concept Evaluation, the Survey of Thermodynamic Processes and First and Second Laws, the Scientific Abilities Assessment Rubrics, and the Colorado Learning Attitudes about Science Survey. Students' attributes related to gender, age, socioeconomic status, domicile, literacy, physics identity, and test results administered using teachers' developed items are also reported in this dataset.

Purwoko Haryadi Santoso

spheredata

Students' Performance Dataset in Physics Education Research
(SPHERE)

Edi Istiyono

Haryanto Haryanto

literacy function

A data frame with 497 observations on the following 2 literacy items.<dl>
 <dt><code>LIT1</code></dt>
<dd>Do you read books in your home? 1 = Yes, 2 = No</dd> <dt><code>LIT2</code></dt>
<dd>Do you access gadgets and the internet in your home? 1 = Yes, 2 = No</dd> 
</dl>

Format

Students' literacy dataset — literacy

A data frame with 497 observations on the following 2 literacy items.<dl>
 <dt><code>LIT1</code></dt>
<dd>Do you read books in your home? 1 = Yes, 2 = No</dd>

 <dt><code>LIT2</code></dt>
<dd>Do you access gadgets and the internet in your home? 1 = Yes, 2 = No</dd>

 
</dl>

literacy: Students' literacy dataset

Description

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Examples