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Examining the Correlation between Critical Thinking and Problem-Solving Skills of Junior High School Students Against Climate Change Perdani, Anggie Siti; Hernani, Hernani; Ramalis, Taufik Ramlan
Jurnal Penelitian Pendidikan IPA Vol 9 No 9 (2023): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i9.4438

Abstract

This research examined the association between critical thinking and problem-solving skills among junior high school students, specifically focusing on Climate Change. The participants in this study included 272 students from XYZ Junior High School Rangkasbitung, comprising grades 8 and 9, during the even semester of the 2022/2023 academic year. A previously validated multiple-choice instrument with four answer choices assessed their abilities. The collected data were analyzed using SPSS 23 to determine the correlation and Winstep 5.4.1 for categorizing students' abilities. The findings revealed that the students obtained an average score of 42.82 for critical thinking and 43.53 for problem-solving skills. The correlation coefficient was calculated to be 0.74, indicating a strong and positive relationship between critical thinking and problem-solving skills. It was observed that an increase in the critical thinking score accompanied an increase in the problem-solving score. Additionally, the determination value of 0.546 indicated that critical thinking skills could explain 54.6% of the variance in problem-solving skills, while other factors influenced the remaining 45.4%.
Tes Kemampuan Pemecahan Masalah pada Tema Perubahan Iklim: Analisis Rasch Model Ridwan, Irwan Muhammad; Kaniawati, Ida; Suhandi, Andi; Ramalis, Taufik Ramlan; Rizal, Rahmat; Sujarwanto, Eko
DIFFRACTION: Journal for Physics Education and Applied Physics Vol 5, No 1 (2023)
Publisher : Pendidikan Fisika, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/diffraction.v5i1.7738

Abstract

Tujuan penelitian ini untuk menganalisis instrumen soal kemampuan pemecahan masalah pada tema perubahan iklim . Penelitian ini merupakan penelitian kuantitatif. Data diperoleh dengan mengembangkan instrumen tes kemampuan pemecahan masalah tema perubahan iklim sebanyak delapan soal berbentuk esai. Responden berasal dari 54 mahasiswa pendidikan fisika di salah satu kampus di kota Tasikmalaya. Analisis data menggunakan perangkat lunak (software) Winstep versi 4.00. Metode yang digunakan dalam analisis ini yaitu pemodelan Rasch. Hasil analisis dengan pemodelan Rasch menunjukan nilai 0,50 logit untuk person reliability dan 0,98 logit untuk item reliability yang menunjukan bahwa item instrumen yang dibuat termasuk kriteria istimewa. Meskipun ada dua soal S3 dan S7 yang memerlukan perbaikan. Nilai raw variance sebesar 23,4% menunjukan bahwa syarat validitas konstruk data dikotomi terpenuhi, hal ini diperkuat oleh nilai separation 6,61 yang menunjukkan item soal ini mempunyai sebaran respon yang baik dan dapat mengukur kemampuan pemecahan masalah pada tema perubahan iklim sehingga dapat digunakan untuk penelitian
Rasch modeling: Developing a critical thinking ability test for students on climate change material Ridwan, Irwan Muhammad; Kaniawati, Ida; Suhandi, Andi; Ramalis, Taufik Ramlan; Mahmudah, Ifa Rifatul; Vilmala, Berry Kurnia
Momentum: Physics Education Journal Vol. 7 No. 2 (2023)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v7i2.8310

Abstract

The goal of this study was to examine critical thinking skills on the topic of climate change. This study is quantitative in nature. The information was gathered by creating a 30-question test to assess the ability to think critically about climate change. Respondents were 52 physics education students from one of Tasikmalaya's campuses. Winstep software version 4.00 was utilized for data analysis. Rasch modeling was employed in this investigation. The results of the Rasch modeling study show a value of 0.38 for person reliability and 0.91 for item reliability, indicating that the instrument items manufactured are dependable. The raw variance value of 23.4% suggests that the standards for dichotomous data construct validity are met. The separation value of 3.15 supports this. It suggests that this item has a good answer distribution and can assess critical thinking skills on the topic of climate change. As a result, it can be used for study.
Co-Authors A. Suhandi Achmad Samsudin Agus Setiawan Ahmad Zulkarnain Zain Alif Yanuar Zukmadini Angga Bagja Nugraha Anna Permanasari Annisa Nurjanah Ayubi, Yuyu Rachmat Bayong Tjasyono Chandra, Didi Teguh Della Apriyani Kusuma Putri Desi Ratna Ningsih Destiani, Rinta Dewi, Fanny Herliyana Didit Ardianto Diki Rukmana Duden Saepuzaman, Duden Efendi, Ridwan Eko Sujarwanto Elisa Tri Wiguna Erlina Megawati Fanni Zulaiha Fauziyyah, Asri Nur Lathifah Fitriani, Dian Nonik Fratiwi, Nuzulira Janeusse Harry Firman Hasbi, Julia Edwina Haura Fauziyyah Halilah HERNANI - Heryani, Tiastuti Putri Hilda Permata I. Ismail, I. Ida Kaniawati Ika Alfianti Ika Mustika Sari Indri Liani Sartika Iyon Suyana Khairul Amri Laurenty, Fretycia Liliasari , Liza Yulianti M. Qonit Abdullah Mahmudah, Ifa Rifatul Muhammad Iid Mujtahiddin, Muhammad Iid Muhammad Lukman Hakim Muliandi, arief Mulvia, Rahmadhani Muslim Muslim Nilna Faizah Nurdini Nurdini, Nurdini Nurul Fadilla Nuryani Rustaman Okta Miadi Parlindungan Sinaga Perdani, Anggie Siti Purwanto, Purwanto Puspitasari Tri Puspitasari Putra, Apriza Hongko Putri, Della Apriyani Kusuma Rahmah Hidayati, Rahmah Rahmat Hidayat Revi Novia Ridwan, Irwan Muhammad Rizky Ihsan Zuhrial, Rizky Ihsan Rochman, Syaiful Rosmiati Rosmiati Rukmana, Diki Saeful Karim Satriawan, Muhammad Selly Feranie Sri Mulyani Sri Mulyani Sulsilah, Hani Susilawati Susilawati Suwarna, Irma Rahma Tasya Fitria Alifa Tri Isti Hartini, Tri Isti Tumpal B Nainggolan Tumpal Bernhard, Tumpal Unang Purwana Utami, Dea Annisa Vilmala, Berry Kurnia Vine Risa Riani Winny Liliawati