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

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