The study investigates whether comprehension of derived words in text context requires a complete understanding of word parts. It explores comprehension of derived words as a function of learner proficiency and contextual clues. Ninety English-as-a-foreign-language learners at three proficiency levels participated in three successive tests representing three clues conditions, absence of clues, availability of syntactic clues, and availability of syntactic and semantic clues. They had to supply the meaning of 22 derived pseudowords constructed with nonword stems and 22 frequent affixes—for example, stacement, gummful. The meanings of the nonword stems were provided. Test scores were compared by 3 (proficiency level) × 3 (clue condition) analysis of variance with repeated measures. The results showed effects of both variables, proficiency and clues. The largest increase in comprehension scores occurred with the addition of syntactic clues. The results imply that derived forms of familiar base words can be understood even when learners’ receptive morphological knowledge is not complete.

It has been proposed that second language (L2) learners differ from native speakers in processing due to either influence from their native language or an inability to integrate information from multiple linguistic domains in a second language. To shed new light on the underlying mechanism of L2 processing, we used an event-related potentials (ERP) paradigm to examine the processing of sentences with only in English by native speakers of English and advanced Dutch learners of English. Successful processing of sentences with only requires rapid integration of prosodic information with semantic and syntactic information. We found that L2 listeners showed native-like processing of the acoustics of contrastive pitch accents when adjacent to only. However, they needed more cues than L1 listeners to perform native-like in forming expectations for focus placement. Our results thus provide first ERP-based evidence for difficulty in the integration of information for focus expectation in difficult L2 constructs.

This study presents a reanalysis of existing data to investigate whether a relationship between perception and production abilities regarding a challenging second-language (L2) phonological contrast is observable (a) when both modalities must rely on accessing stored lexical representations and (b) when there is an asymmetry in task focus between perception and production. In the original studies, German learners of English were tested on their mastery of the English /ɛ/-/æ/ contrast in an auditory lexical decision task with phonological substitutions, a word-reading task, and a segmentally focused imitation task. Results showed that accurate nonword rejection in the lexical decision task was predicted by the Euclidean distance between the two vowels in word reading but not in imitation. These results extend previous findings to lexical perception and production, highlight the influence of task focus on the degree of coupling between the two modalities, and may have important implications for pronunciation training methods.

Digital educational game-based apps can be effective in helping young children develop language skills, particularly when paired with formal instruction. However, we need to know more about how educational games benefit learning in the absence of formal instruction, given children’s proficiency with and willingness to use mobile devices anytime, anywhere. This study uses a randomized controlled trial design to investigate the impact of a digital app—ABCmouse English—on L2 learning of seven- and eight-year-old Japanese children over a 16-week period. Pre- and post-assessments of the children’s English proficiency, together with an analysis of when and how they played with the app, were used to shed light on the relationship between the children’s in-app game choices and their language learning outcomes. Surveys and interviews with parents provide qualitative insights and information about the experiences of children and their families while using the app and its impact on their development as language learners.

The development of L2 utterance fluency has been extensively researched, whereas that of cognitive fluency has rarely been examined. This study investigated the longitudinal development of L2 utterance and cognitive fluency and their relationship. Thirty-one Chinese learners of English completed speaking tasks and a set of tasks for cognitive fluency before and after 5 months’ study abroad. The results showed that participants made a significant improvement in mean syllable duration, end-clause pause frequency, and the speed of syntactic encoding and articulation but not in mid-clause pause frequency or lexical retrieval speed. Mixed-effects modeling confirmed a significant relationship between syntactic encoding speed and mean syllable duration and mid-clause pausing. Furthermore, the significant relationships were maintained over time. The findings highlight (a) the differences between mid-clause and end-clause pausing in terms of their developmental patterns and relationship with cognitive fluency and (b) a significant role of syntactic encoding speed in L2 utterance fluency.

A slowdown or a speedup in response times across experimental conditions can be taken as evidence of online deployment of knowledge. However, response-time difference measures are rarely evaluated on their reliability, and there is no standard practice to estimate it. In this article, we used three open data sets to explore an approach to reliability that is based on mixed-effects modeling and to examine model criticism as an outlier treatment strategy. The results suggest that the model-based approach can be superior but show no clear advantage of model criticism. We followed up these results with a simulation study to identify the specific conditions in which the model-based approach has the most benefits. Researchers who cannot include a large number of items and have a moderate level of noise in their data may find this approach particularly useful. We concluded by calling for more awareness and research on the psychometric properties of measures in the field.

The study evaluated whether the direction (inhibitory or facilitative) of the phonological neighborhood density effect in English spoken word recognition was modulated by the relative strength of competitor activation (neighborhood type) in two groups of English-dominant learners of Spanish who differed in language experience. Classroom learners and heritage learners of Spanish identified spoken English words from dense (e.g., BEAR) and sparse (e.g., BOAT) phonological neighborhoods presented in moderate noise. The phonological neighborhood was separately manipulated at word onset (cohort) and word offset (rhyme). Classroom learners were overall slower in recognizing spoken words from denser neighborhoods. Strongly active (onset) neighbors exerted inhibitory effects in both classroom and heritage learners. Critically, weakly active (offset) neighbors exerted inhibitory effects in classroom learners but facilitative effects in heritage learners. The results suggest that the activation of both within and cross-language neighbors should be considered in determining the direction of neighbor effects in bilingual lexical processing.

Meta-analyses play an instrumental role in informing second language (L2) theory and practice. However, current (i.e., classic) approaches to meta-analysis are limited in their ability to do so because they often fail to capture the complexity inherent in primary studies’ research designs. As we argue in this article, when complex L2 studies are represented by simplistic meta-analyses, the latter cannot reach its potential to contribute to the development of cumulative knowledge. To mitigate this issue, we first discuss the fundamental problems of the classic approaches to meta-analysis of complex L2 research. Second, we introduce an alternative meta-analytic framework that will address those problems. Third, we apply the meta-analytic framework discussed to a complex L2 domain. Fourth, we offer free software to facilitate the conduct of the alternative meta-analytic approach described. Finally, we discuss the implications of this alternative framework for making evidence-based recommendations to the relevant stakeholders.

This study expands on previous research into filler-gap dependency processing in second language (L2) English, by means of a replication of Canales’s (2012) self-paced reading study. Canales, among others, found that advanced L2-English speakers exhibited the same processing behavior that Stowe (1986) found for native English processing: On encountering a filler, they posited gaps in licensed positions and avoided positing gaps in grammatically unlicensed island positions. However, the previous L2 studies focused on advanced-level L2 proficiency and did not test specifically for first language (L1) influence. The present study compares two groups of intermediate-level L2-English speakers with contrasting non-wh-movement L1s, Jordanian Arabic and Mandarin, to investigate the effects of L1 influence and individual differences in proficiency. Our results provide evidence that at intermediate level, too, L2 filler-gap processing adheres to grammatical constraints. L1 did not affect this behavior, but proficiency effects emerged, with larger licensed filled-gap effects at higher proficiency.

Although lexical diversity is often used as a measure of productive proficiency (e.g., as an aspect of lexical complexity) in SLA studies involving oral tasks, relatively little research has been conducted to support the reliability and/or validity of these indices in spoken contexts. Furthermore, SLA researchers commonly use indices of lexical diversity such as Root TTR (Guiraud’s index) and D (vocd-D and HD-D) that have been preliminarily shown to lack reliability in spoken L2 contexts and/or have been consistently shown to lack reliability in written L2 contexts. In this study, we empirically evaluate lexical diversity indices with respect to two aspects of reliability (text-length independence and across-task stability) and one aspect of validity (relationship with proficiency scores). The results indicated that neither Root TTR nor D is reliable across different text lengths. However, support for the reliability and validity of optimized versions of MATTR and MTLD was found.

A growing body of evidence demonstrates that individual differences in declarative memory may be an important predictor of second language (L2) abilities. However, the evidence comes from studies using different declarative memory tasks that vary in their reliance on verbal abilities and task demands, which preclude estimating the size of the relationship between declarative memory and L2 learning. To address these concerns, we examined the relationship between verbal and nonverbal declarative memory abilities within the same task while controlling for task demands and stimulus modality, to estimate the upper bound of the relationship between verbal and nonverbal declarative memory. Results indicate that when task demands and stimulus modality are controlled, verbal and nonverbal declarative memory abilities shared a medium-to-large amount of underlying variance. However, future studies should exercise caution in appraising associations between declarative memory abilities and L2 learning until a more precise understanding of the underlying mechanisms is achieved.

Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements define and form the construct and not the other way around. These constructs are referred to as emergent variables (also called components, formative constructs, and composite constructs). Because emergent variables are composed of elements/parts, they should be assessed through confirmatory composite analysis (CCA). Elements of emergent variables represent unique facets of the construct. Thus, such constructs cannot be properly assessed by confirmatory factor analysis (CFA) because CFA and its underlying common factor model regard these elements to be similar and interchangeable. Conversely, the elements of an emergent variable uniquely define and form the construct, i.e., they are not similar or interchangeable. Thus, CCA is the preferred approach to empirically validate emergent variables such as language skills L2 students’ behavioral engagement and language learning strategies. CCA is based on the composite model, which captures the characteristics of emergent variables more accurately. Aside from the difference in the underlying model, CCA consists of the same steps as CFA, i.e., model specification, model identification, model estimation, and model assessment. In this paper, we explain these steps. and present an illustrative example using publicly available data. In doing so, we show how CCA can be conducted using graphical software packages such as Amos, and we provide the code necessary to conduct CCA in the R package lavaan.