Native language influences on word recognition in a second language: a megastudy

Many studies have reported that word recognition in a second language (L2) is affected by the native language (L1). However, little is known about the role of the specific language combination of the bilinguals. To investigate this issue, the authors administered a word identification task (progressive demasking) on 1,025 monosyllabic English (L2) words to native speakers of French, German, and Dutch. A regression approach was adopted, including a large number of within- and between-language variables as predictors. A substantial overlap of reaction time patterns was found across the groups of bilinguals, showing that word recognition results obtained for one group of bilinguals generalize to bilinguals with different mother tongues. Moreover, among the set of significant predictors, only one between-language variable was present (cognate status); all others reflected characteristics of the target language. Thus, although influences across languages exist, word recognition in L2 by proficient bilinguals is primarily determined by within-language factors, whereas cross-language effects appear to be limited. An additional comparison of the bilingual data with a native control group showed that there are subtle but significant differences between L1 and L2 processing.     

Word recognition in child second language learners: Evidence from cognates and false friends

We studied how Dutch children learned English as a second language (L2) in the classroom. Learners at different levels of L2 proficiency recognized words under different task conditions. Beginning learners in primary school (fifth and sixth grades) and more advanced learners in secondary school (seventh and ninth grades) made lexical decisions on words that are similar for English and Dutch in both meaning and form (“cognates”) or only in form (“false friends”). Cognates were processed faster than matched control words by all participant groups in an English lexical decision task (Experiment 1) but not in a Dutch lexical decision task (Experiment 2). An English lexical decision task that mixed cognates and false friends (Experiment 3) led to consistently longer reaction times for both item types relative to controls. Thus, children in the early stages of learning an L2 already activate word candidates in both of their languages (language-nonselective access) and respond differently to cognates in the presence or absence of false friends in the stimulus list.     

Recognizing cognates and interlingual homographs: Effects of code similarity in language-specific and generalized lexical decision

In four experiments, we investigated how cross-linguistic overlap in semantics, orthography, and phonology affects bilingual word recognition in different variants of the lexical decision task. Dutch-English bilinguals performed a language-specific or a generalized lexical decision task including words that are spelled and/or pronounced the same in English and in Dutch and that matched one-language control words from both languages. In Experiments 1 and 3, "false friends" with different meanings in the two languages (e.g., spot) were presented, whereas in Experiments 2 and 4 cognates with the same meanings across languages (e.g., film) were presented. The language-specific Experiments 1 and 2 replicated and qualified an earlier study (Dijkstra, Grainger, & Van Heuven, 1999). In the generalized Experiment 3, participants reacted equally quickly on Dutch-English homographs and Dutch control words, indicating that their response was based primarily on the fastest available orthographic code (i.e., Dutch). In Experiment 4, cognates were recognized faster than English and Dutch controls, suggesting coactivation of the cognates' semantics. The nonword results indicate that the bilingual rejection procedure can, to some extent, be language specific. All results are discussed within the BIA+ (bilingual interactive activation) model for bilingual word recognition.     

When does inconsistency hurt? On the relation between phonological consistency effects and the reliability of sublexical units

Phonological consistency describes to what extent a letter string in one word is pronounced equally in other words. Phonological reliability describes to what extent a sublexical unit is usually consistent throughout a language. The relationship between the two concepts was investigated by comparing five sublexical units (onset-consonants, vowel, end-consonants, and the concatenation of the vowel with begin- or end-consonants) in Dutch and English with respect to their reliability and to how their consistency was related to naming errors and latencies. In a regression analysis, naming latencies and errors on genuine Dutch words (consistent) and imported words (inconsistent) were predicted by the phonological consistency of the five units. The same was done for two sets of English naming data. Consistency had a much stronger effect in Dutch than in English naming studies when all five units were considered. The special role of the vowel plus end-consonants, which has been found in English naming data, could not be demonstrated in Dutch. In both languages, the size of consistency effects mirrors the reliability of the five units.     

Differential ability and attainment in language and arithmetic of Dutch primary school pupils

Background . In preschool and primary education, pupils differ in many abilities and competences (giftedness). Yet mainstream educational practice seems rather homogeneous in providing age‐based or grade–class subject matter approaches. Aims . To clarify whether pupils scoring initially at high ability level do develop and attain differently at school with respect to language and arithmetic compared with those displaying other initial ability levels. To investigate whether specific individual, family, or educational variables covary with the attainment of these different types of pupils in school. Samples . Data from the large‐scale PRIMA cohort study including a total of 8,258 Grades 2 and 4 pupils from 438 primary schools in The Netherlands. Methods . Secondary analyses were carried out to construct gain scores for both language and arithmetic proficiency and a number of behavioural, attitudinal, family, and educational characteristics. The pupils were grouped into four different ability categories (highly able, able, above average, average or below average). Further analyses used Pearson correlations and analyses of variance both between‐ and within‐ability categories. Cross‐validation was done by introducing a cohort of younger pupils in preschool and grouping both cohorts into decile groups based on initial ability in language and arithmetic. Results . Highly able pupils generally decreased in attainment in both language and arithmetic, whereas pupils in average and below‐average groups improved their language and arithmetic scores. Only with highly able pupils were some educational characteristics correlated with the pupils' development in achievement, behaviour, and attitudes. Conclusions . Preschool and primary education should better match pupils' differences in abilities and competences from their start in preschool to improve their functioning, learning processes, and outcomes. Recommendations for educational improvement strategies are presented at the end of the article.     

Multi‐level aspects of social cohesion of secondary schools and pupils' feelings of safety

Background. School safety and corresponding feelings of both pupils and school staff are beginning to receive more and more attention. The social cohesion characteristics of a school may be useful in promoting feelings of safety, particularly in pupils. Aims. To conceptualize theoretically, and check empirically a two‐level model of social cohesion between and within schools, in order to explain a pupil's feelings of safety at school. Samples. Data were collected aided by a national Dutch survey in secondary education carried out via the Internet. In 2008, digital questionnaires were completed by about 78,800 pupils, 6,200 teachers and educational support staff, and 600 school managers. Methods. Data were checked for reliability and representativity. Social cohesion was indicated by self‐reported measures of individual pupils and by aggregating scale and item scores of school managers, teachers, and other support staff within schools. Multi‐level analysis using individual pupil data and school‐level data was performed using MLwiN. Results. A pupil's age, educational attainment level, experience of mild physical violence, prosocial rules of conduct and joint control of these rules, and school measures against playing truant, show positive influences on a pupil's feelings of safety at school. Negative influences are exerted by not feeling most at home in The Netherlands, peers taking drugs and weapons into school, and by experiencing social violence, severe physical violence, and sexual violence. Negative school effects exist simultaneously in severe physical violence experienced by teachers and other staff, and in curriculum differentiation applied by teachers and other staff; a positive school effect is school size. Some interaction effects between pupil and school‐level variables were explored. Conclusions. The variance at school level is relatively low compared with the variance at pupil level. However, a much higher percentage of variance at school level than at pupil level is explained with respect to the pupils' feelings of safety at school. The resulting two‐level model also reflects the streaming of pupils in Dutch secondary schools. To improve school safety, the national results emphasize the need to enhance prosocial behaviour rules and to enhance the shared control of these rules between teachers and pupils. They also emphasize the need for the school to take measures that prevent truancy and redefine curriculum differentiation procedures. National educational policy and research can combine efforts to assist schools in developing reliable and valid procedures to increase effectively safety in and around schools.