A Rasch Model Analysis on Junior High School Students' Scientific Reasoning Ability
Dublin Core
Title
A Rasch Model Analysis on Junior High School Students' Scientific Reasoning Ability
Subject
Rasch Model
Construct Validity
Test
Scientific Reasoning
Description
Science education that emphasizes only the count is not relevant at the moment. Students must make scientific reasoning in answering the problem. This study aims to determine students' scientific reasoning abilities in light matter. The method in this research was the descriptive method by using the survey technique. The instrument used is a description test consisting of 8 items of light matter. This test was conducted on 201 students from the eighth-grade junior high school in Banjarmasin selected at random. The RASCH model is used as a processing stage of data from raw data into logit numbers that provide information related to infit, outfit and unidimensionality using a winstep program to achieve this goal, this study investigated the quality of items from Item and person measure, Item Bias, item and person reliability, and variable map. The findings show that the scientific reasoning ability of the eighth-grade students can be at a low level. So researchers should strive to improve students' scientific reasoning abilities in future research.
Creator
Wati, Mustika
Mahtari, Saiyidah
Hartini, Sri
Amelia, Heny
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 07 (2019); pp. 141-149
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2019-07-11
Rights
Copyright (c) 2019 Saiyidah Mahtari, Mustika Wati, Sri Hartini, Heny Amelia
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Non-refereed Article
Identifier
Citation
Mustika Wati et al., A Rasch Model Analysis on Junior High School Students' Scientific Reasoning Ability, International Association of Online Engineering (IAOE), Vienna, Austria, 2019, accessed November 23, 2024, https://igi.indrastra.com/items/show/1480