1,720,957 research outputs found
Personality, anxiety and distractibility as predictors of flow proneness
No full textFlow je stanje potpune uronjenosti u neku aktivnost te se najčešće postiže kada osoba radi na zadatku koji predstavlja izazov usklađen s postojećom razinom vještine za obavljanje tog zadatka. Cilj našeg istraživanja bio je provjeriti kako su određene osobine ličnosti povezane s učestalosti doživljaja flowa kao dispozicije, zvane i sklonost flowu. Zanimalo nas je i razlikuju li se prediktori flowa u dva konteksta - na poslu i u slobodno vrijeme. Putem online upitnika metodom snježne grude prikupljene su samoprocjene 273 sudionika. Koristili smo upitnik BFI za osobine ličnosti Petfaktorskog modela, skalu DASS21-A za anksioznost, upitnik CFQ za distraktibilnost i SFPQ za sklonost flowu u oba konteksta. Proveli smo dvije hijerarhijske regresijske analize, jednu za svaki kontekst doživljavanja flowa, i u njima koristili iste blokove prediktora: prvi blok činile su kontrolne varijable dobi i roda, drugi osobine ličnosti Petfaktorskog modela i treći uže osobine anksioznost i distraktibilnost. Objasnili smo ukupno 32% varijance sklonosti flowu na poslu te su se kao statistički značajni pozitivni prediktori pokazali dob, ekstraverzija i savjesnost, a negativni otvorenost i anksioznost. Za sklonost flowu u slobodno vrijeme objasnili smo ukupno 41% varijance te su se kao statistički značajni pozitivni prediktori pokazali dob i savjesnost, a negativni neuroticizam i anksioznost.Flow is a state of complete immersion in an activity, and is most often experienced when working on a task where difficulty matches the skill a person has for solving that task. The goal of this study was to examine how certain personality traits relate to flow disposition, also known as flow proneness. We were also interested in examining whether the predictors of flow proneness differ between the contexts of job and leisure time. Using an online survey via snowball method, we obtained the self-reported results of 273 participants. We used the BFI for the Five-Factor model personality traits, DASS21-A scale for Anxiety, CFQ for Distractibility and SFPQ for Flow proneness in both contexts. We performed two hierarchical regression analyses, one for each context flow is experienced in, and used the same blocks of predictors in both: the first consisted of control variables age and gender, the second of the Five-Factor model personality traits and the third of narrow traits Anxiety and Distractibility. Results show that a total of 32% of work flow proneness variance was explained, and the statistically significant positive predictors were age, extraversion and consciousness, while negative predictors were openness and anxiety. We explained 41% of leisure flow proneness variance, with age and consciousness as positive predictors, and neuroticisim and anxiety as negative predictors
Vizualizacija podataka u istraživačkim projektima
No full textU istraživačkim projektima prikupljaju se relevantni podaci, koji se zatim analiziraju kako bi se došlo do novih spoznaja. Rezultati tih analiza mogu se prikazati opisno, tablično i grafičkim prikazima. Na ovoj radionici polaznici će se upoznati s prikladnim oblicima prikaza podataka ovisno o prirodi podataka i provedenih analiza. Naglasak će biti na izradi grafičkih prikaza koji točno i jasno prikazuju stanje u podacima. Polaznici će osvijestiti važnost obrađivanih načela kroz praktične primjere u kojima su ta načela uspješno i neuspješno primijenjena. Primjeri i vježbe pisani su u programskom jeziku R i oblikovani kao Quarto dokumenti koji povezuju programski kod, tekst, tablice i slike. Ovakvim pristupom olakšano je spremanje konkretnih postupaka analize, kao i njihova kasnija modifikacija. Međutim, radionica je primjerena i za polaznike koji nemaju iskustva s ovim tehnologijama jer su temeljna načela vizualizacije podataka nevezana uz specifičnu tehnologiju kojom se vizualizacije izrađuju
Vizualizacija podataka u istraživačkim projektima : radne bilježnice
No full textMaterijali korišteni na radionici "Vizualizacija podataka u istraživačkim projektima" u okviru konferencije Srce DEI 2025
Vizualizacija podataka u istraživačkim projektima
No full textU istraživačkim projektima prikupljaju se relevantni podaci, koji se zatim analiziraju kako bi se došlo do novih spoznaja. Rezultati tih analiza mogu se prikazati opisno, tablično i grafičkim prikazima. Na ovoj radionici polaznici će se upoznati s prikladnim oblicima prikaza podataka ovisno o prirodi podataka i provedenih analiza. Naglasak će biti na izradi grafičkih prikaza koji točno i jasno prikazuju stanje u podacima. Polaznici će osvijestiti važnost obrađivanih načela kroz praktične primjere u kojima su ta načela uspješno i neuspješno primijenjena. Primjeri i vježbe pisani su u programskom jeziku R i oblikovani kao Quarto dokumenti koji povezuju programski kod, tekst, tablice i slike. Ovakvim pristupom olakšano je spremanje konkretnih postupaka analize, kao i njihova kasnija modifikacija. Međutim, radionica je primjerena i za polaznike koji nemaju iskustva s ovim tehnologijama jer su temeljna načela vizualizacije podataka nevezana uz specifičnu tehnologiju kojom se vizualizacije izrađuju
Vizualizacija podataka u istraživačkim projektima : radne bilježnice
No full textMaterijali korišteni na radionici "Vizualizacija podataka u istraživačkim projektima" u okviru konferencije Srce DEI 2025
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
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