In the peer group of adolescence, peer status plays a crucial role. There are 5 kinds of peer status, namely  popular, rejected, neglected, controversial, and average status. Social competence of the youth can be a predictor of peer status, one of the youth’s social competences that becomes the focus of this research is prosocial behaviour. Prosocial behavior is generally acceptable in social environment; however, the significance of prosocial behaviour in predicting the status of adolescents in peer groups still needs to be studied. Prosocial behaviour was identified through Peer Assessment Prosocial Behaviour adapted from Greener (2000), while peer status was identified through sociometric techniques by categorizing peer status according to the techniques by Coie, Dodge, and Cappotelli (1982). There were 114 adolescents as research participants (57.9% male, Mean Age = 12.70 years). With multinomial logistic regression analysis, it was concluded that prosocial behaviour was able to predict peer status (χ2 (4) = 48.68, p <0.001) with prediction ability of 56.1%. The effect of prosocial behaviour on the establishment of each peer status will be discussed in more detail in this article.Key words: Adolescent, peer assessment, prosocial behaviour, peer status Abstrak: Status di kelompok sebayanya merupakan status sosial yang berperan penting di masa remaja. Adapun terdapat 5 macam status teman sebaya, yaitu populer, rejected (ditolak), neglected (diabaikan), controversial (kontroversial), dan average (rata-rata). Kompetensi sosial remaja dapat menjadi prediktor terhadap status teman sebaya, salah satu yang akan menjadi fokus penelitian ini adalah perilaku prososial. Sebagai bentuk perilaku yang secara umum dapat diterima dalam lingkungan sosial, peneliti ingin mengetahui seberapa signifikan peranannya dalam memprediksi status remaja dalam kelompok teman sebaya. Perilaku prososial diidentifikasikan melalui Peer Assessment Prosocial Behavior yang diadaptasi dari Greener (2000). Sedangkan status teman sebaya diidentifikasi melalui teknik sosiometri dengan pengkategorisasian status teman sebaya mengikuti teknik yang digagas oleh Coie, Dodge, dan Cappotelli (1982). Terdapat 114 orang remaja sebagai partisipan penelitian (57.9% laki-laki, Mean Usia = 12.70 tahun). Dengan teknik multinominal logistic regression disimpulkan bahwa perilaku prososial remaja mampu memprediksikan status teman sebaya (χ2(4) = 48.68, p<0.001) dengan kemampuan prediksi sebesar 56.1%. Efek perilaku prososial terhadap terbentuknya masing-masing status teman sebaya akan didiskusikan lebih rinci dalam artikel ini.

Inclusive education is seen as promising way to accommodate students with disabilities in accessing higher education; yet, the implementation leaves challenges for the students with disabilities and also the faculties. Regarding the secondary education curriculum that is not preparing students with disabilities to attend higher education, students with disabilities are struggling in adjusting college life. This research aimed at confirming the influence of college readiness to college engagement of students with disabilities. There were 61 college students with disabilities participated in the survey on college readiness and college engagement. Independent T-Test and simple regression analysis was applied to test the hypothesis. The result showed that the college readiness influence college engagement with large effect size (r=.769&gt;0.50, F=85.494, p (.000) &lt;0.01) which indicates that the more students are college-ready, the more they are engaged. Subsection’s variables of gender and education background do not statistically significant affect the college readiness and engagement of students with disabilities. As the opportunity for students with disabilities attending college is uprising, college transition program is highly suggested to prepare students with disability for college life.

Penelitian ini bertujuan untuk mengetahui (1) apakah terdapat pengaruh penggunaan kosmetik wajah terhadap attractiveness, (2) apakah terdapat pengaruh penggunaan waktu pemaparan terhadap attractiveness, dan (3) apakah terdapat pengaruh interaksi penggunaan kosmetik wajah dan waktu pemaparan terhadap attractiveness, dalam jangka waktu pengamatan selama 0.25 detik dan tanpa batas waktu pemaparan. Penelitian ini melibatkan 43 orang partisipan, yaitu mahasiswa angkatan 2014-2015 Prodi Psikologi, Universitas Brawijaya, Malang. Pengumpulan data pada penelitian ini menggunakan bantuan aplikasi PsychoPy dengan menggunakan 7 point slider scale untuk penilaian attractiveness, yang memiliki rentang mulai dari skala 1 (sama sekali tidak) hingga skala 7 (sangat). Analisis penelitian ini menggunakan teknik univariate analysis of variance. Hasil penelitian ini menyatakan bahwa terdapat pengaruh penggunaan kosmetik wajah terhadap attractiveness (p=0.000), terdapat pengaruh penggunaan waktu pemaparan terhadap attractiveness (p=0.001), dan tidak terdapat pengaruh interaksi penggunaan kosmetik wajah dan waktu pemaparan terhadap attractiveness (p=0.158).

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website [https://osf.io/mhg94/].

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website (https://osf.io/mhg94/).