Abstract
This resource contains data from 112 Dutch adults (18–29 years of age) who completed the Individual Differences in Language Skills test battery that included 33 behavioural tests assessing language skills and domain-general cognitive skills likely involved in language tasks. The battery included tests measuring linguistic experience (e.g. vocabulary size, prescriptive grammar knowledge), general cognitive skills (e.g. working memory, non-verbal intelligence) and linguistic processing skills (word production/comprehension, sentence production/comprehension). Testing was done in a lab-based setting resulting in high quality data due to tight monitoring of the experimental protocol and to the use of software and hardware that were optimized for behavioural testing. Each participant completed the battery twice (i.e., two test days of four hours each). We provide the raw data from all tests on both days as well as pre-processed data that were used to calculate various reliability measures (including internal consistency and test-retest reliability). We encourage other researchers to use this resource for conducting exploratory and/or targeted analyses of individual differences in language and general cognitive skills.
Highlights
Background & SummaryBeing able to produce and comprehend spoken utterances is what sets us apart from other species in the animal kingdom
Since the advent of modern psycholinguistics, most experiments studying language have focused on describing the average behaviour of groups of individuals[1]
The pre-processed data were used for calculating measures of statistical reliability, including mean, standard deviation, range, skewness, kurtosis, internal consistency, and test-retest reliability
Summary
Being able to produce and comprehend spoken utterances is what sets us apart from other species in the animal kingdom. Previous studies have often been confined to small sets of tests measuring specific skills of interest While these studies provide a good starting point for investigating the cognitive architecture of the language system, interpretation is often difficult because potentially relevant variables were not assessed. The pre-processed data were used for calculating measures of statistical reliability, including mean, standard deviation, range, skewness, kurtosis, internal consistency, and test-retest reliability. This Data descriptor comprehensively describes the individual tests, the experimental procedures, the pre-processing protocol and the folder structure of the data, which are available at the UK Data Service data archive (UKDA). As we make available both test scores aggregated by participants as well as the trial-level data, researchers may perform different types of analyses, such as (generalized) linear mixed-effects model analyses or structural equation modelling.
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