34 research outputs found
No evidence of a positive effect of learning Chinese language as an L2 on spatial ability
Spatial ability (SA) was shown to be a robust predictor of success in various educational contexts, including STEM. Thus, ways to improve SA are of interest to educational psychology. There is some evidence that SA might be improved via learning character-based language, e.g. Chinese as a second language (CSL), however, the existing research is quite limited. The study aims to investigate an effect of CSL learning on SA in schoolchildren from Year 2 to Year 7. Current study employs a sample of Russian schoolchildren (Nβ=β283), who learnt: English only, English and Spanish; or English and Chinese. Participants completed Ravenβs progressive matrices and Mental rotation task at the age of 8 and again at the age of 14. Our data showed negligible group differences in the initial SA level at Year 2 (before learning second language). Similar negligible differences were found at Year 7. Regression analysis showed that SA was predicted by intelligence (Ravenβs) and gender but not language learnt at both ages. This pattern of results indicates that learning a Chinese as a second language is unlikely to affect SA. Further research is needed to investigate whether other factors, such as length, intensity and context of learning, moderate this link
Consensus too soon: judgesβ and lawyersβ views on genetic information use
Timely effective regulation of genetic advances presents a challenge for justice systems. We used a 51-item battery to examine views on major genetics-related issues of those at the forefront of regulating this area β Supreme Court judges (Nβ=β73). We also compared their views with those of other justice stakeholders (Nβ=β210) from the same country (Romania). Judges showed greater endorsement and less variability in views on the use of genetic data and technologies than the other groups. The agreement among the judges was strikingly strong for some controversial issues, including gene editing; patenting of genetic findings; and the State using genetic information for crime prevention. Judges and other lawyers recognized the need for amending the relevant laws. Without appropriate regulation, genetic science has a risk of propelling inequality rather than fulfilling its promise to improve peopleβs lives
Attitudes towards genetic testing: The role of genetic literacy, motivated cognition, and socio-demographic characteristics
Understanding reasons for why people choose to have or not to have a genetic test is essen tial given the ever-increasing use of genetic technologies in everyday life. The present study explored the multiple drivers of peopleβs attitudes towards genetic testing. Using the Interna tional Genetic Literacy and Attitudes Survey (iGLAS), we collected data on: (1) willingness to undergo testing; (2) genetic literacy; (3) motivated cognition; and (4) demographic and cultural characteristics. The 37 variables were explored in the largest to-date sample of 4311 participants from diverse demographic and cultural backgrounds. The results showed that 82% of participants were willing to undergo genetic testing for improved treatment; and over 73%βfor research. The 35 predictor variables together explained only a small propor tion of variance: 7%βin the willingness to test for Treatment; and 6%βfor Research. The strongest predictors of willingness to undergo genetic testing were genetic knowledge and deterministic beliefs. Concerns about data misuse and about finding out unwanted health related information were weakly negatively associated with willingness to undergo genetic testing. We also found some differences in factors linked to attitudes towards genetic testing across the countries included in this study. Our study demonstrates that decision-making regarding genetic testing is influenced by a large number of potentially interacting factors. Further research into these factors may help consumers to make decisions regarding genetic testing that are right for their specific circumstances
Measuring Spatial Ability for Talent Identification, Educational Assessment, and Support: Evidence from Adolescents with High Achievement in Science, Arts, and Sports.
Background. Spatial ability (SA) is a robust predictor of academic and occupational achievement. The present study investigated the psychometric properties of 10 tests for measuring of SA in a sample of talented schoolchildren.
Objective. Our purpose was to identify the most suitable measurements for SA for the purpose of talent identification, educational assessment, and support.
Design. Our sample consisted of 1479 schoolchildren who had demonstrated high achievement in Science, Arts, or Sports. Several criteria were applied to evaluate the measurements, including an absence of floor and ceiling effects, low redundancy, high reliability, and external validity.
Results. Based on these criteria, we included the following four tests in an Online Short Spatial Ability Battery βOSSABβ: Pattern Assembly; Mechanical Reasoning; Paper Folding; and Shape Rotation. Further analysis found differences in spatial ability across the three groups of gifted adolescents. The Science track showed the highest results in all four tests.
Conclusion. Overall, the study suggested that the Online Short Spatial Ability Battery (OSSAB) can be used for talent identification, educational assessment, and support. The analysis showed a unifactorial structure of spatial abilities. Future research is needed to evaluate the use of this battery with other specific samples and unselected populations.
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The Jack and Jill Adaptive Working Memory Task: Construction, Calibration and Validation
Visuospatial working memory (VSWM) is essential to human cognitive abilities and is associated with important life outcomes such as academic performance. Recently, a number of reliable measures of VSWM have been developed to help understand psychological processes and for practical use in education. We sought to extend this work using Item Response Theory (IRT) and Computerised Adaptive Testing (CAT) frameworks to construct, calibrate and validate a new adaptive, computerised, and open-source VSWM test. We aimed to overcome the limitations of previous instruments and provide researchers with a valid and freely available VSWM measurement tool. The Jack and Jill (JaJ) VSWM task was constructed using explanatory item response modelling of data from a sample of the general adult population (Study 1, N = 244) in the UK and US. Subsequently, a static version of the task was tested for validity and reliability using a sample of adults from the UK and Australia (Study 2, N = 148) and a sample of Russian adolescents (Study 3, N = 263). Finally, the adaptive version of the JaJ task was implemented on the basis of the underlying IRT model and evaluated with another sample of Russian adolescents (Study 4, N = 239). JaJ showed sufficient internal consistency and concurrent validity as indicated by significant and substantial correlations with established measures of working memory, spatial ability, non-verbal intelligence, and academic achievement. The findings suggest that JaJ is an efficient and reliable measure of VSWM from adolescent to adult age
No spatial advantage in adolescent hockey players? Exploring measure specificity and masked effects
The study examines how intensive hockey training is linked with spatial ability and academic performance. Participants were hockey players from top junior teams (N = 225, mean age = 14.25, all boys) and their un- selected peers (N = 278, mean age = 15.47, all boys). Compared to the unselected group, hockey players showed lower results in 10 small-scale spatial tests (Cohen's d ranging from 0.42 to 1.04), Raven's Progressive Matrices (d = 0.41), and 12 school subjects (d for the sum of grades = 1.17). The differences in spatial ability remained significant after controlling for Raven's (d varying from 0.26 to 1.03). The absence of spatial advantage in athletes suggests that effects of sports on cognition are complex: spatial ability facet-specific, sport-specific, professional and intensity level-specific. Moreover, these effects might be confounded by differences in academic engagement, investment of effort and psychological and physiological effects of intensive sports engagement
Mathematical anxiety: etiology, development, and links with mathematical achievement.
Published in Russian (Russian abstract follows):
ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΡ βΠΎΠ΄ΠΈΠ½ ΠΈΠ· Π²ΠΈΠ΄ΠΎΠ² ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠ΅Π°ΠΊΡΠΈΠΉ, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠ΅ΠΌ. Π€Π΅Π½ΠΎΠΌΠ΅Π½ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΠΎ ΡΠΎΠΎΡΠ½ΠΎΡΠΈΡΡΡ Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡΠΌΠΈ ΠΈ ΡΡΠΎΠ²Π½Π΅ΠΌΠ΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΠΉ Π² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ΅. Π ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅Π΅ Π²ΡΠ΅ΠΌΡΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ,ΡΠ²ΡΠ·Π°Π½Π½ΠΎΠΉ Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΎΠΉ, Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ²ΠΎΠ·ΡΠΎΡΠ»ΠΎ, ΡΡΠΎ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ². Π Π΄Π°Π½Π½ΠΎΠΌ ΠΎΠ±Π·ΠΎΡΠ΅ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅Π·Π½Π°ΡΠΈΠΌΡΠ΅ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ Π΅Π΅ ΡΠΈΠΌΠΏΡΠΎΠΌΠ°ΡΠΈΠΊΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½Π° ΠΊΠ»ΡΡΠ΅Π²Π°Ρ ΡΠΎΠ»Ρ ΡΠ°Π±ΠΎΡΠ΅ΠΉ ΠΏΠ°ΠΌΡΡΠΈ Π²ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΡΡΠ΄ ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ Π½Π΅ΠΉ ΡΡΡΠ΅ΠΊΡΠΎΠ²: Β«ΡΡΡΠ΅ΠΊΡ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈΡΠ»ΠΎΠΆΠ½ΠΎΡΡΠΈΒ», Β«ΡΡΡΠ΅ΠΊΡ ΠΈΠ·Π±Π΅Π³Π°Π½ΠΈΡΒ» ΠΈ Β«ΡΡΡΠ΅ΠΊΡ ΡΠ°Π·Π»ΠΈΡΠΈΡΒ». ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΌΠΎΠ·Π³ΠΎΠ²ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ Ρ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠΌΠΈ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡΠΌΠΈ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΡΡΠ²ΡΠ·Π°Π½Π° Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡΡ Π² ΠΎΠ±Π»Π°ΡΡΡΡ
ΠΌΠΎΠ·Π³Π°, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ ΠΏΠ΅ΡΠ΅ΠΆΠΈΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»ΠΈ,ΠΈ Π²Π»ΠΈΡΠ΅Ρ Π½Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠΈΡΠ»ΠΎΠ²ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ.ΠΠΎΠΊΠ°Π·Π°Π½Π° Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈ ΡΡΠ΅Π΄ΠΎΠ²Π°Ρ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡ ΡΠ΅Π½ΠΎΠΌΠ΅Π½Π°: Π΄ΠΎ 70 %ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π² ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΎΠ±ΡΡΡΠ½ΡΡΡΡΡΡΡΠ΅Π΄ΠΎΠ²ΡΠΌΠΈ ΡΠ°ΠΊΡΠΎΡΠ°ΠΌΠΈ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ ΡΠ΅ΠΌΠ΅ΠΉΠ½ΡΡ
, ΡΠΊΠΎΠ»ΡΠ½ΡΡ
ΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΡΡΠΈΡ
ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ. ΠΠΏΠΈΡΠ°Π½Ρ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠ²ΡΠ·Π΅ΠΉ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠ° Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ: ΠΌΠΎΡΠΈΠ²Π°ΡΠΈΠ΅ΠΉ, ΡΠ°ΠΌΠΎΠΎΡΠ΅Π½ΠΊΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠ΅ΠΉ ΠΈ Π΄Ρ. Π ΡΠ°Π±ΠΎΡΠ΅ ΠΎΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ΡΡΡΠ΅ΠΊΡΡ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ: ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΡ ΠΌΠΎΠΆΠ΅Ρ Π²ΡΠ·Π²Π°ΡΡ ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ Β«Π²ΡΠ·ΠΎΠ²Β» ΠΈ ΡΠ΅ΠΌΡΠ»ΡΡΡΠΈΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. ΠΠ½Π°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΠ΅Π΄Π»Ρ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ: ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠ²Π½ΠΎΠ΅ ΠΏΠΈΡΡΠΌΠΎ, ΠΌΠ΅Π΄ΠΈΡΠ°ΡΠΈΡ,ΡΠΌΠ΅Π½Π°ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ Π² ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ. ΠΠ½Π°Π»ΠΈΠ· ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°Π» Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π²ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈ Π΅Π΅ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Π±ΠΎΠ»Π΅Π΅ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠ΅Π³ΡΠ»ΡΡΠΈΠΈ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΡΡ
ΡΠΌΠΎΡΠΈΠΉΠΏΠΎ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΊ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ΅
Test-Retest Reliability of Behavioural and ERP Measures in Maths-Related Processing
Research into test-retest stability of emotional and cognitive responses has focused on behavioural and ERP components in relation to very well-established paradigms (such as oddball, mismatch negativity, continuous performance task, etc.). However, there is a lack of evidence for more integrative paradigms that contain a variety of tasks in a single paradigm. The aim of the present study was to investigate the test-retest reliability for behavioural and ERP components (cue-locked P300 and task-locked P600) in a paradigm composed of three different error-recognition tasks: lexical, arithmetic, and algebraic. Participants completed the paradigm on two occasions, two weeks apart on average. We examined the between-session correlations and mean-level differences. The results showed moderate-to-strong between-session stability for accuracies (r = [.29-.69]), reaction times (r = [.48-.81]), and ERP P300 and P600 responses (r = [.70-.79] and r = [.45-.85], respectively). Overall, results indicated that there was more homogeneity of the estimates at the ERP level than in stability estimates at the behavioural level. The study highlights the importance of studying neural mechanisms involved in emotional and cognitive processing in addition to studying behavioural output