1,721,024 research outputs found
Prokrastinasi Akademik Mahasiswa: Bagaimana Peran Intensitas Bermain Game Online dan Stres Akademik?
Full text linkPelaku prokrastinasi akademik mengetahui bahwa perilaku ini akan berdampak buruk bagi yang melakukannya. Penelitian ini bertujuan untuk mengetahui hubungan antara intensitas bermain game online dan stres akademik dengan prokrastinasi akademik pada mahasiswa di Surabaya. Metode penelitian menggunakan metode kuantitatif korelasional dengan 3 variabel. Teknik pengambilan partisipan pada penelitian ini menggunakan metode sampling insidental dengan sampel sebanyak 388 mahasiswa di Surabaya. Instrumen yang digunakan dalam penelitian ini adalah Tuckman Procrastination Scale (TPS) yang diadaptasi oleh Suhadianto, dkk. (2024). Kemudian skala intensitas bermain game online yang mengacu pada Fishbein & Ajzen, 2010. Selanjutnya lalu skala stres akademik yang disusun oleh Wardani (2024) yang menggunakan aspek dari Bedewy & Gabriel (2015). Hasil penelitian baik secara simultan ataupun secara parsial mengungkapkan adanya hubungan positif yang signifikan antara intensitas bermain game online dan stres akademik dengan prokrastinasi akademik yang maknanya semakin tinggi intensitas bermain game online dan stres akademik maka semakin tinggi juga kecenderungan prokrastinasi akademik, berlaku juga sebaliknya
HUBUNGAN PROKRASTINASI AKADEMIK DAN EFIKASI DIRI DENGAN KETIDAKJUJURAN AKADEMIK PADA MAHASISWA DI SURABAYA
Full text linkUniversities are places where formal education can be found. Undergraduate students are the initial degree in taking education in college are generally aged 18-25 years, which means that in the review of developmental psychology students are in the emerging adulthood phase (Listyanti, 2012). Facts in the field found that students tend to commit dishonesty or cheating which is then called academic dishonesty (Fitriana & Baridwan, 2012). This study was conducted to determine the relationship between Academic Procrastination and Self-Efficacy with Academic Dishonesty in college students in Surabaya. This study used a correlational quantitative method. The sample in the study was 347 participants with the criteria of active students in Surabaya aged 18-25 years. The sampling technique used accidental sampling. Data analysis techniques using multiple regression analysis (R value = 0.462). Measurement of academic dishonesty data using a scale proposed by Lambert, academic procrastination using the Tuckman Procrastination Scale adapted by Suhadianto, measurement of self-efficacy data using Bandura's scale adapted by Kurniawan. The results show that there is a relationship between academic procrastination and self-efficacy with academic dishonesty (F value = 46.573 with a significance of 0.000). Partial test results show a significant positive relationship between academic procrastination and academic dishonesty (β value = 0.205). Then the self-efficacy variable with academic dishonesty has a positive relationship (β value = 0.255). Based on the results of the study, the author hopes that the subjects are able to minimize academic dishonesty behavior by managing their time also being confident in their own abilitiesPerguruan tinggi adalah tempat di mana pendidikan formal dapat ditemukan. Mahasiswa strata satu adalah gelar awal dalam menempuh pendidikan dibangku perkuliahan. Mahasiswa Strata Satu (S1) secara umum berusia 18-25 tahun yang artinya dalam tinjauan psikologi perkembangan mahasiswa berada pada fase dewasa awal (emerging adulthood) (Listyanti, 2012). Fakta pada lapangan ditemukan bahwa mahasiswa cenderung melakukan ketidakjujuran atau kecurangan yang kemudian disebut dengan ketidakjujuran akademik (Fitriana & Baridwan, 2012). Penelitian ini dilakukan untuk mengetahui hubungan Prokrastinasi Akademik dan Efikasi Diri dengan Ketidakjujuran Akademik pada mahasiswa di Surabaya. Penelitian ini menggunakan metode kuantitatif korelasional. Sampel pada penelitian sebanyak 347 partisipan dengan kriteria mahasiswa aktif di Surabaya berusia 18-25 Tahun. Teknik pengambilan sampel menggunakan accidental sampling dengan kuisioner. Teknik analisis data menggunakan analisis regresi berganda (nilai R=0,462). Pengukuran data ketidakjujuran akademik menggunakan skala yang dikemukakan oleh Lambert, prokrastinasi akademik menggunakan skala Tuckman Procrastination Scale yang di adaptasi bahasa Indonesia oleh Suhadianto, pengukuran data efikasi diri menggunakan skala Bandura yang di adaptasi oleh Kurniawan. Hasil menunjukkan terdapat hubungan antara prokrastinasi akademik dan efikasi diri dengan ketidakjujuran akademik (nilai F= 46,573 dengan signifikasi 0,000) yang berarti terdapat hubungan signifikan. Hasil uji parsial menunjukkan hubungan positif yang signifikan antara prokrastinasi akademik dan ketidakjujuran akademik (nilai β=0,205). Lalu variabel efikasi diri dengan ketidakjujuran akademik terdapat hubungan positif (nilai β=0,255). Berdasarkan hasil penelitian, penulis berharap subjek penelitian mampu meminimalisir perilaku ketidakjujuran akademik dengan mengatur waktu sebaik mungkin serta merasa yakin dengan kemampuan sendiri dan tidak mempengaruhi orang lain dalam berbuat tidak jujur secara akademik
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
