Melola Discovery

← Melola Discovery

Jurnal SINTA 1

ROBUST REGRESSION FOR ESTIMATING THE IMPACT OF STUDENT'S SOCIAL BEHAVIORS ON SCIENTIFIC LITERACY

Cakrawala Pendidikan · Vol. 39 No. 2 (2020) · hlm. 293–304

DOI
10.21831/cp.v39i2.29842
ISSN
2442-8620, 0216-1370
Terbit
2020-06-12
Penerbit
LPMPP Universitas Negeri Yogyakarta
Bahasa
eng

Abstrak

Scientific literacy is a vital program for current generation of students in the whole world. The purpose of this study is to estimate the impact of students' social behaviors on scientific literacy by using robust regression. A robust approach is applied to overcome the weaknesses of the ordinary least squares (OLS) regression model. The method is believed to produce better accuracy of estimation. This study applies a survey method conducted by using 200 research subjects which are randomly selected at a university in Indonesia. There are two instruments used, namely questionnaire sheets using a Likert scale and test sheets. There are four categories used in this study to measure the students' social behaviors, which are cooperation (X1), assertiveness (X2), self-control (X3) and pro-social behaviors toward peers (X4). The analysis results reveal that all of independent variables have positive and significant impact on students' scientific literacy (Y). Furthermore, the highest impact is collaboration (X1) and the lowest impact is pro-social behavior towards peers (X4), where the robust regression coefficients are.262 and.238, respectively.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 94 tautan kepenulisan bersama · 13 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Ahmad Dahlan
  • Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan
  • Universiti Malaysia Terengganu
  • Sebelas Maret University
  • Institut Agama Islam Negeri Kendari
  • Universitas Nahdlatul Ulama Indonesia
  • Institut Teknologi Sepuluh Nopember
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Muhamad Safiih LolaUniversiti Malaysia Terengganu4
Suyatno SuyatnoAfiliasi tidak diketahui3
Suhendra SuhendraAfiliasi tidak diketahui2
Didi SuryadiAfiliasi tidak diketahui2
Muhammad Adib AlfarisiAfiliasi tidak diketahui2
Nuruzzaman MSAfiliasi tidak diketahui2
Rois FatoniAfiliasi tidak diketahui2
Sri Achadi NugraheniAfiliasi tidak diketahui2
Martha Irene KartasuryaAfiliasi tidak diketahui2
Kartika Chrysti SuryandariSebelas Maret University2
Salsalia Nor FatimahUniversitas Nahdlatul Ulama Indonesia1
Suhartono SuhartonoInstitut Teknologi Sepuluh Nopember1
Ade Dedi RohayanaAfiliasi tidak diketahui1
Sugiyarto SuronoUniversitas Ahmad Dahlan1
Puguh Wahyu PrasetyoUniversitas Ahmad Dahlan1
Annisa Eka HaryatiUniversitas Ahmad Dahlan1
Hafied CangaraHasanuddin University1
Arum SiwiendrayantiState University of Semarang1
Rini MarwatiAfiliasi tidak diketahui1
Alvina HardiyantiAfiliasi tidak diketahui1
Sunarto .Afiliasi tidak diketahui1
Nugraheni ArumsariAfiliasi tidak diketahui1
Aisyah Nur Sayidatun NisaAfiliasi tidak diketahui1
Sawitri Indah LestariAfiliasi tidak diketahui1
Arief WahyudiantoAfiliasi tidak diketahui1
Cahyo YuwonoAfiliasi tidak diketahui1
Dwi WarliAfiliasi tidak diketahui1
Agung WicaksonoAfiliasi tidak diketahui1
Indah SuciatiAfiliasi tidak diketahui1
Arsyil WaritsmanAfiliasi tidak diketahui1
Susanti SusantiInstitut Agama Islam Negeri Kendari1
Kompri KompriAfiliasi tidak diketahui1
Wulan Anna PertiwiAfiliasi tidak diketahui1
Tri Kurniati SAfiliasi tidak diketahui1
Tria Rahma IsnainiAfiliasi tidak diketahui1
Yunila SukmaAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.uny.ac.id/index.php/cp/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">ROBUST REGRESSION FOR ESTIMATING THE IMPACT OF STUDENT'S SOCIAL BEHAVIORS ON SCIENTIFIC LITERACY</dc:title>
	<dc:creator>Mahmudah, Umi</dc:creator>
	<dc:creator>Chamdani, Muhamad</dc:creator>
	<dc:creator>Tarmidzi, Tarmidzi</dc:creator>
	<dc:creator>Fatimah, Siti</dc:creator>
	<dc:subject xml:lang="en-US">robust regression</dc:subject>
	<dc:subject xml:lang="en-US">scientific literacy</dc:subject>
	<dc:subject xml:lang="en-US">social behaviors</dc:subject>
	<dc:description xml:lang="en-US">Scientific literacy is a vital program for current generation of students in the whole world. The purpose of this study is to estimate the impact of students' social behaviors on scientific literacy by using robust regression. A robust approach is applied to overcome the weaknesses of the ordinary least squares (OLS) regression model. The method is believed to produce better accuracy of estimation. This study applies a survey method conducted by using 200 research subjects which are randomly selected at a university in Indonesia. There are two instruments used, namely questionnaire sheets using a Likert scale and test sheets. There are four categories used in this study to measure the students' social behaviors, which are cooperation (X1), assertiveness (X2), self-control (X3) and pro-social behaviors toward peers (X4). The analysis results reveal that all of independent variables have positive and significant impact on students' scientific literacy (Y). Furthermore, the highest impact is collaboration (X1) and the lowest impact is pro-social behavior towards peers (X4), where the robust regression coefficients are .262 and .238, respectively.</dc:description>
	<dc:publisher xml:lang="en-US">LPMPP Universitas Negeri Yogyakarta</dc:publisher>
	<dc:date>2020-06-12</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uny.ac.id/index.php/cp/article/view/29842</dc:identifier>
	<dc:identifier>10.21831/cp.v39i2.29842</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Cakrawala Pendidikan; Vol. 39 No. 2 (2020): CAKRAWALA PENDIDIKAN, VOL. 39, NO. 2, JUNE 2020; 293-304</dc:source>
	<dc:source>2442-8620</dc:source>
	<dc:source>0216-1370</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uny.ac.id/index.php/cp/article/view/29842/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 Jurnal Cakrawala Pendidikan</dc:rights>
</oai_dc:dc>