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MegaRT: Lexical Decision Times for Croatian Words
These datasets contain individual reaction time data to Croatian words, and pseudowords in a lexical decision task. Pseudowords were created using Wuggy (Keuleers, E., & Brysbaert, M. (2010). Wuggy: A multilingual pseudoword generator. Behavior Research Methods 42(3), 627-633.).
The data was collected using the E-Prime 3.0 software, with responses provided using a Psychology Software Tools "Chronos" device
Data for: Who believes in COVID-19 conspiracy theories in Croatia? Prevalence and predictors of conspiracy beliefs
The aim of this study was to simultaneously investigate a range of individual predictors of beliefs in COVID-19 conspiracy theories that account for socio-demographic characteristics (age, gender, education, economic standard, the importance of religion and political self-identification), distinctive motivational orientations (social dominance and authoritarianism), relevant social attitudes (sense of political powerlessness and trust in science and scientists) and perceived personal risk (perceived risk for self and family members, concern of being infected and expected influence of pandemic on one’s own economic standard). Data collection was done as a part of a longitudinal study in progress using the online panel of respondents who were compensated for their time. The sample was a national probabilistic quota sample that was two-way stratified: by region and by settlement size. The structure of the total sample corresponded to the structure of the targeted population according to the valid census, including the distribution of age, gender and, with corrections, education. Participants were 1060 adults recruited from the general population of Croatia
Data for: Cyberchondria in the age of COVID-19
The aim of this study was to examine how cyberchondria is related to changes in levels of COVID-19 concern and safety behaviours among persons living in Croatia during the period in which the first COVID-19 case was identified and when the country recorded its first fatality. Repeated cross-sectional data collection was conducted during two waves over a period of three weeks (N1 = 888; N2 = 966). The first began on the day of the first confirmed case of COVID-19 in Croatia (February 24th, 2020) and the second wave began three weeks later, on the day the first COVID-19 fatality was recorded in Croatia (March 19th, 2020). Participants completed an online questionnaire regarding various COVID-19 concerns and safety behaviours aimed at disease prevention (information seeking, avoidance and hygiene) and a measure of cyberchondria (Short Cyberchondria Scale, SCS)
The role of retrieval type and feedback in test-potentiated new learning
This study explored the effects of episodic and semantic retrieval, and feedback presentation, on learning of new complex material. Participants read a text divided into three parts, between which they engaged in (i) content-related (episodic retrieval) or (ii) general-knowledge testing (semantic retrieval), or (iii) reread the previous part. Participants in the two retrieval conditions were randomly assigned to either receive or not to receive feedback on their interpolated test achievement. Learning was measured through multiple choice questions whose distractors were designed specifically to enable capturing proactive interference
Data for: Demonstrating the Additional-Singleton Effect For Size
Previous research within the additional-singleton paradigm mostly focused on the effect of colour or shape on attentional capture. In this study, we explore the effect of additional singletons which differ in size from other distractors. We demonstrate that the presence of an additional singleton whose size is uniquely different from the rest of the stimuli leads to slower reaction times when participants are in a singleton-detection mode. We find no conclusive evidence for a differential effect of three size levels relative to the other stimuli. Also, we find no conclusive evidence for an intertrial repetition effect or a habituation effect
Norme slobodnih asocijacija za hrvatski jezik
Dataset sadrži norme za asocijacije na 700 hrvatskih riječi, prikupljenih metodom diskretnih slobodnih asocijacija. Sudionicima je prezentirano 100 podražajnih riječi, a na svaku je riječ bilo potrebno dati jednu asocijaciju. Prikupljeni podaci su lematizirani i uniformirani. Nad podacima su izračunate unaprijedna (FAS), povratna (BAS), medijacijska (MAS) i preklapajuća (OAS) snaga. Dataset sadržava i bruto odgovore svih ispitanika te podatke o prosječnom FAS-u prema rangu asocijacija