Objective age of acquisition norms for a set of 286 words in Russian: Relationships with other psycholinguistic variables

Grigoriev, Andrei; Oshhepkov, Ivan

doi:10.3758/s13428-013-0319-0

Cited by 18 publications

(13 citation statements)

References 47 publications

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“…There are two main approaches to derive AoA data. First, objective AoA measures can be obtained by analysis of children’s production (Chalard et al, 2003; Álvarez and Cuetos, 2007; Lotto et al, 2010; Grigoriev and Oshhepkov, 2013). Within this approach, children (classified by age) are asked to name the picture of common objects and activities.…”

Section: Introductionmentioning

confidence: 99%

Italian Age of Acquisition Norms for a Large Set of Words (ItAoA)

et al. 2019

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Age of acquisition (AoA) is an important psycholinguistic variable that affects the performance of healthy individuals and patients in a large variety of cognitive tasks. For this reason, it becomes more and more compelling to collect new AoA norms for a large set of stimuli in order to allow better control and manipulation of AoA in future research. An important motivation of the present study is to extend previous Italian norms by collecting AoA ratings for a much larger range of Italian words for which concreteness and semantic-affective norms are now available thus ensuring greater coverage of words varying along these dimensions. In the present study, we collected AoA ratings for 1,957 Italian content words (adjectives, nouns, and verbs), by asking healthy adult participants to estimate the age at which they thought they had learned the word in a Web survey procedure. First, we found high split-half correlation within our sample, suggesting strong internal reliability. Second, our data indicate that the ratings collected in this study are as valid and reliable as those collected in previous studies for Italian across different age populations (adult and children) and other languages. Finally, we analyzed the relation between AoA ratings and other lexical-semantic variables (e.g., word frequency, imageability, valence, arousal) and showed that these correlations were generally consistent with the correlations reported in other normative studies for Italian and other languages. Therefore, our new AoA norms are a valuable source of information for future research in the Italian language. The full database is available at the Open Science Framework (osf.io/3trg2).

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Section: Introductionmentioning

confidence: 99%

Italian Age of Acquisition Norms for a Large Set of Words (ItAoA)

et al. 2019

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“…ru/ru_stimul/) and a database of pictures of 375 action nouns and verbs (Akinina et al 2015, http://en.stimdb.ru/). The norms for age of acquisition, name agreement, picture name agreement, imageability, familiarity, word frequency, and word length for the most widely used picture set in general psycholinguistics by Snodgrass and Vanderwart (1980) are also available for Russian (Bonin, Guillemard-Tsarapina, and Méot 2013;Grigoriev and Oshhepkov 2013) and Croatian (Rogić et al 2013). Lists of pseudowords are very useful for crossmodal priming experiments that rely on a lexical decision task; one such list is available for Polish (Imbir, Spustek, and Żygierewicz 2015).…”

Section: Resources For Slavic Psycholinguisticsmentioning

confidence: 99%

Slavic Psycholinguistics in the 21st Century

Sekerina¹

2017

Journal of Slavic Linguistics

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This article provides an update on research in Slavic psycholinguistics since 2000 following my first review (Sekerina 2006), published as a position paper for the workshop The Future of Slavic Linguistics in America (SLING2K). The focus remains on formal experimental psycholinguistics understood in the narrow sense, i.e., experimental studies conducted with monolingual healthy adults. I review five dimensions characteristic of Slavic psycholinguistics-populations, methods, domains, theoretical approaches, and specific languages-and summarize the experimental data from Slavic languages published in general non-Slavic psycholinguistic journals and proceedings from the leading two conferences on Slavic linguistics, FASL and FDSL, since 2000. I argue that the current research trends in Slavic psycholinguistics are (1) a shift from adult monolingual participants to special population groups, such as children, people with aphasia, and bilingual learners, (2) a continuing move in the direction of cognitive neuroscience, with more emphasis on online experimental techniques, such as eye-tracking and neuroimaging, and (3) a focus on Slavic-specific phenomena that contribute to the ongoing debates in general psycholinguistics. The current infrastructural trends are (1) development of psycholinguistic databases and resources for Slavic languages and (2) a rise of psycholinguistic research conducted in Eastern European countries and disseminated in Slavic languages. * I wish to thank two anonymous reviewers and Catherine Rudin for their helpful comments and especially suggestions regarding additional sources. All the mistakes are, of course, mine.

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“…Normative descriptions of words or expressions are available in many languages, including Chinese (Chang et al, 2016), Dutch (Hubers et al, 2019), English (Juhasz et al, 2015), French (Bonin et al, 2015), German (Schulte Im Walde & Borgwaldt, 2015), Hebrew (Yael et al, 2015), Italian (Barca et al, 2002), Malay (Yap et al, 2010), Russian (Grigoriev & Oshhepkov, 2013), Spanish (Guasch et al, 2016), and Swedish (Blomberg & Öberg, 2015). Probably due to the complexity of vocabulary per se, this kind of study is typically conducted on samples of words or expressions in a language.…”

Section: Introductionmentioning

confidence: 99%

Psycholinguistic Norms for 3,783 Two-Character Words in Simplified Chinese

Song

2021

SAGE Open

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Over 70% of the more than 56,000 most frequently used words in simplified Chinese are two-character words (2C-words). The present study collected data on subtitle frequency, number of strokes, number of meanings, familiarity, concreteness, imageability, age of acquisition, subjective frequency, subjective number of meanings (sNOMs), compositionality, emotional experience rating, sensory experience rating (SER), and semantic transparency (ST) for 3,783 commonly used 2C-words. Correlative patterns were identified between the 13 variables, all of which, with the exception of imageability, SER, and sNOM, were significantly predictive of the changes in participants’ RTs in LDs on the target words. In conclusion, skilled readers’ awareness of 2C-words’ features such as concreteness, imageability, compositionality, sNOM, and ST is closely associated with their semantic perception of the constituent characters.

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Objective age of acquisition norms for a set of 286 words in Russian: Relationships with other psycholinguistic variables

Cited by 18 publications

References 47 publications

Italian Age of Acquisition Norms for a Large Set of Words (ItAoA)

Italian Age of Acquisition Norms for a Large Set of Words (ItAoA)

Slavic Psycholinguistics in the 21st Century

Psycholinguistic Norms for 3,783 Two-Character Words in Simplified Chinese

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