Search

This research aimed to investigate the impact of word decoding speed and accuracy on reading comprehension in Turkish, which is characterized by a highly transparent and morphologically complex orthographic system. The study involved 160 students, half of whom were identified as poor readers, while the other half were classified as good readers. These participants were selected from the second and fourth grades of public elementary schools. The assessment process involved evaluating participants' isolated word decoding skills using a task that measured their ability to decode both real words and pseudowords. Additionally, reading fluency and comprehension were measured using grade-level appropriate reading texts. The analysis included a series of MANOVAs as well as a mediation model (Model 7) employing Haye's PROCESS macro for SPSS. The findings indicated that the poor readers' limited reading comprehension abilities were primarily attributed to their overall deficiency in word decoding fluency, with a particular emphasis on their inadequate phonological decoding skills. These results are significant as they shed light on the challenges that children with reading comprehension difficulties may face in transparent orthographic systems. The attainment of proficient reading comprehension in such languages appears to be influenced by the specific aspects of word decoding fluency.

What is the relationship between literacy skills and implicit learning? To address previous mixed findings, we compared school-aged readers, typical (CON, n = 54) and with dyslexia (DYS, n = 53), in relation to their performance on a serial reaction time task. For the first time, we also included an isolated spelling deficit group (ISD, n = 30) to control for distinctive effects of reading and spelling deficits. A linear reaction times analysis did not reveal between-group differences in implicit learning. However, further examination revealed that most CON (65%) and ISD (63%) were implicit learners, whereas most DYS were nonlearners (64%). Brain activity showed differences in early learning phases: CON learners and DYS nonlearners activated the left inferior frontal gyrus (IFG) and left insula more than other groups. Our findings imply that implicit learning is more frequently disrupted in children with dyslexia than in typical readers, and that activation of the left IFG and insula contributes to effective learning in the latter group but it does not in the former.

This longitudinal study examines the effects of a pre-study abroad (SA) pedagogic intervention and subsequent SA experience on second language (L2) Mandarin fluency. It explores two temporal aspects of oral fluency--planning time and speech rate--along with one performance measure, duration of response. Additionally, L2 contact data were included as a supplementary variable in the analysis. The experimental group was assessed at three points: before instruction (T1), after 2 weeks of instruction (T2), and post-SA (T3). A non-instructed control group that participated in the SA period provided baseline data. Both groups demonstrated improved fluency after the SA period, with the experimental group showing superior performance in planning time, speech rate, and duration of response. The greatest reduction in between-group differences occurred at T2 and persisted over time. These findings highlight that combining targeted instruction with exposure is highly effective, with L2 contact strongly correlating with overall fluency gains.

Recent studies have proposed that the automatic activation of naïve concepts, which persist even after learning scientific concepts, must be inhibited to successfully output scientific concepts. This model assumes that individual differences in inhibitory control (IC) within executive functions represent differences in conceptual change. However, the reported correlations between concept conflict and IC tasks are weak, casting doubt on this assumption. This study improves on previous methodologies by focusing on the performance of adult subjects in living and nonliving concept tasks presumed to have successfully achieved conceptual change and quantifying semantic-level IC through the Stroop interference effect. The results revealed that the correlations between the Stroop interference effect and reaction time (RT) differences between conditions of the concept conflict task, which are assumed to represent the time required to inhibit naïve concepts, were relatively stronger compared with findings reported in previous studies. These findings suggest that individual differences in fluent inhibition of naïve concepts after acquiring scientific concepts align with those in IC, thereby supporting the validity of the inhibition model of naïve concepts.

Objectives: Previous studies have widely demonstrated that inhibition of return (IOR) with audiovisual targets decreases due to audiovisual integration (AVI). It is currently unclear, however, whether the impaired AVI in children with ADHD has effects on IOR. The present study used the cue-target paradigm to explore differences between the IOR of audiovisual targets and the IOR of visual targets in ADHD and typically developing (TD) children. Method: A total of 81 native Chinese speakers aged 6 to 13 years were recruited, including 38 children with ADHD and 43 age- and sex-matched TD children. Results: The results showed that there was a smaller magnitude of IOR with audiovisual targets as compared with visual targets in the two groups. Importantly, the reduction of IOR in audiovisual conditions was significantly smaller in children with ADHD than in children with TD. Race model analyses further confirmed that differences in IOR between ADHD and TD are due to deficits of audiovisual integration in ADHD. Conclusion: The results indicated that children with ADHD have impaired audiovisual integration, which has a minimal impact on IOR.

Intra-individual response time variability (IIRTV) during cognitive performance is increasingly recognized as an important indicator of attentional control (AC) and related brain region function. However, what determinants contribute to preschoolers' IIRTV received little attention. The present study explored the interaction of dopaminergic polygenic composite score (DPCS) and the parent-child relationship in relation to preschoolers' IIRTV. In the initial sample, 452 preschoolers (M age = 5.17, SD = 0.92) participated in the study. The modified Flanker task was used to evaluate children's IIRTV and their parents were requested to complete the Parent-Child Relationship Scale to assess the parent-child relationship (closeness/conflict). DNA data were extracted from children's saliva samples, and a DPCS was created by the number of "COMT," "DAT1," and "DRD2" alleles associated with lower dopamine levels. Results showed that DPCS significantly interacted with the parent-child closeness to impact preschoolers' IIRTV. Specifically, preschoolers with higher DPCS exhibited lower IIRTV under higher levels of the parent-child closeness, and greater IIRTV under lower levels of the parent-child closeness compared to those with lower DPCS, which supported the differential susceptibility theory (DST). A direct replication attempt with 280 preschoolers (M age = 4.80, SD = 0.86) was conducted to investigate whether the results were in accordance with our exploratory outcomes. The interactive effect of DPCS and the parent--child closeness on IIRTV was confirmed. Additionally, the significant interactive effect of DPCS and the parent-child conflict on IIRTV was found in the replication study. The findings indicate that preschoolers' IIRTV, as an indicator of AC and related brain region function, is influenced by the interactions of dopaminergic genotypes and the parent-child relationship.

Despite being a popular topic in language testing, cognitive load has not received enough attention in vocabulary test items. The purpose of the current study was to scrutinize the cognitive load and vocabulary test items' differences, examinees' reaction times, and perceived difficulty. To this end, 150 students were selected using cluster/convenience-sampling, and took the Cambridge Placement Test (CPT) and Vocabulary Size Test (VST; Nation & Beglar, 2007). After uploading the vocabulary-size test's items in PsychoPy software, there was a behavioral stage to measure students' reaction times and correct responses. Out of these 150 high school students, a total of 60 (20 from each proficiency level of elementary/intermediate/advanced groups) were selected. In this quantitative study, all 60 students were interviewed to determine their perceived difficulty of the international VST items and their item's difficulty-index. The data were analyzed quantitatively via simple regression and qualitatively through the examination of the students' perceived difficulty. The results and interview findings revealed a significant connection between cognitive load/reaction time, difficulty estimate, and perceived difficulty at intermediate level. In contrast, at elementary and advanced levels, these variables could not predict the cognitive load. The findings can help to test, course, and syllabus designers by educating them on the significance of cognitive load theory so that they can base their exam designs on its premises and alleviate students' increased cognitive-workload.

The aim of this study was to see the effect of using the Instagram media-integrated inquiry learning model in increasing learning motivation and students' critical thinking skills in the matter of reaction rates. This research is a Quasi Experimental Design type. Population consist of class XI MIPA students of SMAN 1 Turen. Sampling used the Simple Random Sampling technique and it was found that there were 32 students in class XI MIPA 4 as the sample for the class of experimental and for class XI MIPA 5 with 32 students as the sample for the class of control. Data analysis used qualitative and quantitative descriptive tests with independent sample-t tests and N-Gain. Qualitative analysis showed an increase in learning motivation in the class of experimental (74%) higher than the class of control (64%). Statistical analysis showed that there were significant differences in students' critical thinking skills with sig. (2-tailed) 0.000 < 0.05. The NGain test showed an increase in the critical thinking skills of the class of experimental (0.82) higher than the class of control (0.72). The results of this analysis indicate that the inquiry learning model integrated with Instagram media is able to increase learning motivation and students' critical thinking skills in the material of reaction rate.

Previous research has shown that L1-L2 congruency is a facilitative factor in collocation processing. The present study explores the congruency effect between learners' L2 and L3. Thirty-three proficient Norwegian learners with Lithuanian as their L1 and English as their L2 completed a phase acceptability task consisting of three groups of Norwegian collocations: congruent with L2, congruent with both L1 and L2, and incongruent with both. The results revealed that collocation L2-L3 congruency facilitates collocation processing.

This study investigates school-age children's arithmetic operations performance while solving larger-size problems which produces interferences in memory. Complex problems can trigger competing responses in working memory, which are irrelevant to a task goal and increase the likelihood of interference from previously learned problems (De Visscher et al., 2018). Interference control in working memory is required to be able to manage and suppress irrelevant information while performing cognitive tasks such as arithmetic problem-solving (Unsworth, 2010). The present study explores potential cognitive processes while performing arithmetic tasks and emphasizes the important role of interference control for better performance in such tasks. This study applied a mixed-effect model experimental design. Forty-four primary school children were involved in the study. The results showed that children's performance in terms of correct responses was similar for both small-size and large-size problems. However, their response speed was significantly lower in larger-size problems, which created more interference in working memory.

Movement training is thought to be very important in terms of learning both basic motor skills and new techniques in sports branches. Rhythmic gymnastics apparatus technique applications, which is a widely used method in movement training; it aims to display predetermined choreography in harmony with various tools. In this context, the aim of this experimental study is to examine the effect of rhythmic gymnastics equipment technique, which is predicted to be a good tool to improve reaction performance for movement educators and athletes, on various hand and foot reaction parameters. A total of 42 female athletes, including 22 experimental group members who had not previously practiced rhythmic gymnastics and 20 control group members, were included in the study on voluntary basis. The reaction performances of the athletes were determined using the ÇAGIN Hand and Foot Reaction Test. Data were analyzed using the SPSS 26.0 package program using Repeated Measures-ANOVA and descriptive statistics. In the pretest-posttest results of the reaction time of the individuals, it was determined that the hand simple and discriminative reaction time and foot discriminative reaction time of the experimental group decreased significantly (p<0.05). In the pretest-posttest results regarding the individuals' correct reaction rates, it was determined that only the foot selective reaction correct rate of the experimental group increased significantly (p<0.05). As a result of the study, it was observed that the application of the apparatus technique generally positively affected the athletes' hand and foot reaction times and the accuracy of the reactions.

Magnitude information, for instance, regarding weight, distance, or velocity, is crucial for planning goal-directed interactions. Accordingly, magnitude information, including numerical magnitude, can affect actions: Responses to small numbers are faster with the left hand than the right and vice versa (hand-based SNARC effect). Previous experiments found an influence of effector placements on the SNARC effect but also an influence of the mere distance between effectors and numbers. This indicates a sensorimotor grounding of space-number processing. In the current study, we investigated this grounding by probing the SNARC effect close to and far from the hands. We used a magnitude comparison task with a fixed standard of 5 (smaller numbers 1, 2, 3, 4; larger numbers 6, 7, 8, 9) and a sagittal response arrangement to measure hand-based and sagittal SNARC effects for digits presented at different sagittal distances to the hands, i.e., in peripersonal and extrapersonal space. A significant sagittal SNARC effect was found, with the largest effect size in extrapersonal space. Meanwhile, the hand-based SNARC effect appeared only descriptively, with the largest effect size between the hands, i.e., in peripersonal space. Additionally, a purely spatial congruency effect surfaced, prioritizing responses with the hand closer to the number. Together, these results emphasize that responses in simple decision-making tasks can be influenced interactively by a multitude of task-relevant axes and relative spatial locations, including effector placement and stimulus placement, as well as number magnitude.

Autistic people who cannot speak risk being underestimated. Their inability to speak, along with other unconventional behaviors and mannerisms, can give rise to limiting assumptions about their capacities, including their capacity to acquire literacy. In this preregistered study, we developed a task to investigate whether autistic adolescents and adults with limited or no phrase speech (N = 31) have learned English orthographic conventions. Participants played a game that involved tapping sequentially pulsing targets on an iPad as quickly as they could. Three patterns in their response times suggest they know how to spell: (a) They were faster to tap letters of the alphabet that pulsed in sequences that spelled sentences than letters or nonsense symbols that pulsed in closely matched but meaningless sequences; (b) they responded more quickly to pairs of letters in meaningful sequences the more often the letters co-occur in English; and (c) they spontaneously paused before tapping the first pulsing letter of a new word. These findings suggest that nonspeaking autistic people can acquire foundational literacy skills. With appropriate instruction and support, it might be possible to harness these skills to provide nonspeaking autistic people access to written forms of communication as an alternative to speech.

Recent studies in the second language acquisition of negation have focused on polarity items and their licensing contexts. Although several studies show a correlation between higher degrees of second language (L2) proficiency and the acquisition of the target L2 structures, less attention has been given to the relation between the acquisition of polarity sensitivity and different types of lexical polarity items. This study addresses this gap in the literature by measuring the processing of polarity-sensitive items under the scope of negation in L2 Spanish. Our findings indicate that learners' acquisition of polarity sensitivity differs across different types of lexical polarity items.

The inconsistent findings about learning outcomes in VR (virtual reality) learning necessitate further robustness of empirical data. This article addressed this gap by comparing the learning outcomes across VR, phone, and mobile learning on two dimensions: recall accuracy and recall speed, as well as learners' attitudes. Additionally, this paper attempted to investigate the differences between 5 and 10 min time duration. By inviting a total of 28 participants to the lab experiments on English vocabulary acquisition, this study yielded no statistically significant difference in vocabulary recall accuracy between VR, computer, and mobile learning. Nonetheless, the significant difference in vocabulary recall speed was generated. Besides, the time spent on vocabulary acquisition was significantly shorter in VR than in computer and mobile learning. Additionally, pairwise comparisons revealed that learners' perceptions and attitudes toward SUS resulted in significantly lower scores in VR than in computer- and mobile-based learning. Further, merely two of the nine items on the VR sickness scale demonstrated a significant raise in visual fatigue as well as significant decline in headache between 5 and 10 min learning duration. Future research should anticipate a larger sample size to ensure the validity of research findings and further construct a 3D modeling for the same language learning settings for non-college, primary, as well as secondary school students.

Objective: To examine the manifestation of cognitive control deficit of children with different levels of hyperactivity, an "at risk" dimension for ADHD. Method: A group of children with high hyperactivity (N = 40) and another group of children with low levels of hyperactivity (N = 38) performed a modified stop-signal anticipation task, a revised Go/NoGo task, and the AX-continuous performance test (AX-CPT). Results: Children with higher levels of hyperactivity displayed: (1) significantly prolonged stop signal reaction time (SSRT) in the modified stop-signal anticipation task; (2) no notable differences in commission errors in the revised Go/NoGo task; (3) increased reaction time (RT) in stop-signal task and Go/NoGo task with increased probabilities of stop or NoGo signal; and (4) positive proactive behavioral index scores in AXCPT. Conclusion: The results suggested that children with heightened hyperactivity exhibited impaired reactive control, especially for responses already underway, but preserved proactive control. Further studies concerning these children are warranted.

The Lognormal Response Time (LNRT) model measures the speed of test-takers relative to the normative time demands of items on a test. The resulting speed parameters and model residuals are often analyzed for evidence of anomalous test-taking behavior associated with fast and poorly fitting response time patterns. Extending this model, we demonstrate the connection between the existing LNRT model parameters and the "level" component of profile similarity, and we define two new parameters for the LNRT model representing profile "dispersion" and "shape." We show that while the LNRT model measures level (speed), profile dispersion and shape are conflated in model residuals, and that distinguishing them provides meaningful and useful parameters for identifying anomalous testing behavior. Results from data in a situation where many test-takers gained preknowledge of test items revealed that profile shape, not currently measured in the LNRT model, was the most sensitive response time index to the abnormal test-taking behavior patterns. Results strongly support expanding the LNRT model to measure not only each test-taker's level of speed, but also the dispersion and shape of their response time profiles.

This study capitalizes on response and process data from the computer-based TIMSS 2019 Problem Solving and Inquiry tasks to investigate gender differences in test-taking behaviors and their association with mathematics achievement at the eighth grade. Specifically, a recently proposed hierarchical speed-accuracy-revisits (SAR) model was adapted to multiple country-by-gender groups to examine the extent to which mathematics ability, response speed, revisit propensity, and the relationship among them differ between boys and girls. Results across 10 countries showed that boys responded to items faster on average than girls, and there was greater variation in boys' response speed across students. A mixture distribution of revisit propensity was found for all country-by-gender groups. Both genders had moderate to strong negative correlations between mathematics ability and response speed, supporting the speed-accuracy tradeoff pattern reported in the literature. Results are discussed in the context of low-stakes assessments and in relation to the utility of the multiple-group SAR model.

In isolated English word reading, readers have the optimal performance when their initial eye fixation is directed to the area between the beginning and word center, that is, the optimal viewing position (OVP). Thus, how well readers voluntarily direct eye gaze to this OVP during isolated word reading may be associated with reading performance. Using Eye Movement analysis with Hidden Markov Models, we discovered two representative eye movement patterns during lexical decisions through clustering, which focused at the OVP and the word center, respectively. Higher eye movement similarity to the OVP-focusing pattern predicted faster lexical decision time in addition to cognitive abilities and lexical knowledge. However, the OVP-focusing pattern was associated with longer isolated single letter naming time, suggesting conflicting visual abilities required for identifying isolated letters and multi-letter words. In contrast, in both word and pseudoword naming, although clustering did not reveal an OVP-focused pattern, higher consistency of the first fixation as measured in entropy predicted faster naming time in addition to cognitive abilities and lexical knowledge. Thus, developing a consistent eye movement pattern focusing on the OVP is essential for word orthographic processing and reading fluency. This finding has important implications for interventions for reading difficulties.

Background: Recent research suggested fluent processing as an explanation on why number sense contributes to simple arithmetic tasks--'Fluency hypothesis'. Aims: The current study investigates whether number sense contributes to such arithmetic tasks when other cognitive factors are controlled for (including those that mediate the link); and whether this contribution varies as a function of participants' individual maths fluency levels. Sample: Four hundred and thirty-seven Chinese schoolchildren (186 females; Mage = 83.49 months) completed a range of cognitive measures in Grade 1 (no previous classroom training) and in Grade 2 (a year later). Methods: Number sense, arithmetic (addition and subtraction), spatial ability, visuo-spatial working memory, perception, reaction time, character reading and general intelligence were measured. Results: Our data showed that the link between number sense and arithmetic was weaker in Grade 1 (Beta = 0.15 for addition and 0.06 (ns) for subtraction) compared to Grade 2 (0.23--0.28), but still persisted in children with no previous maths training. Further, math's performance in Grade 1 did not affect the link between number sense and maths performance in Grade 2. Conclusion: Our data extended previous findings by showing that number sense is linked with simple maths task performance even after controlling for multiple cognitive factors. Our results brought some evidence that number sense-arithmetic link is somewhat sensitive to previous formal maths education. Further research is needed, as the differences in effects between grades were quite small, and arithmetic in Grade 1 did not moderate the link at question in Grade 2.

Word learning depends on attention -- children must focus on the right things at the right times. However, autistic children often display restricted interests, limiting their intake of stimuli during word learning. This study investigates how category interests influence word learning in autism and neurotypical development. Autistic and neurotypical children matched on receptive vocabulary used a touch-screen computer to learn novel words associated with animals (high-interest stimuli) and objects (neutral-interest stimuli) via fast mapping. Response accuracy and speed were examined at referent selection, 5-minute retention, and 24-hour retention. Both groups identified meanings of novel words associated with unfamiliar animals and objects via mutual exclusivity with comparable accuracy. After 5 minutes, autistic children retained animal names with greater accuracy than neurotypical children. Autistic children showed a greater increase in their accuracy between 5-minute and 24-hour retention and outperformed neurotypical children across conditions after a night's sleep. Across groups, 24-hour retention was predicted by number of target word repetitions heard at referent selection, indicating a relationship between fast mapping input and retention. However, autistic children were slower to respond correctly, particularly in the animal condition. For autistic children, superior word learning associated with high-interest stimuli was relatively short-term, as sleep appeared to consolidate their memory representations for neutral-interest stimuli. Although these results demonstrate that fundamental word learning mechanisms are not atypical in autism, slower response times may signal a speed-accuracy trade-off that could have implications for naturalistic language acquisition. Our findings also indicate favourable environmental conditions to scaffold word learning.

The gamification of learning has increased in popularity in recent years as a tool for enhancing student engagement and attainment. In undergraduate chemistry courses, hybridization is a fundamental concept that students need to master in order to understand introductory organic and inorganic topics. This study focused on the development of a card game for use as a revision tool (i.e., a learning resource that can be used by students to engage with a topic they have previously encountered and develop their understanding of the topic in advance of an assessment) based on the topic of hybridization for students taking introductory chemistry courses. The game was designed to both engage students and support their learning. Covering the core concepts of hybridization, including molecular geometry, orbital character, and hybridization states, the speed-based game requires students to answer "question cards" before their opponents by placing down the correct "hybridization card". The game was implemented with chemistry cohorts at the University of Birmingham, United Kingdom, and Xi'an Jiatong-Liverpool University, China. The impact of the game on student learning was evaluated through pre- and postintervention quizzes, as well as a survey based on student impressions of the game play experience. Students responded positively about the game play experiences, and a comparison of quiz scores suggests a positive impact on student understanding of the topic.

Background: Traditionally, meta-analysis of time-to-event outcomes reports a single pooled hazard ratio assuming proportional hazards (PH). For health technology assessment evaluations, hazard ratios are frequently extrapolated across a lifetime horizon. However, when treatment effects vary over time, an assumption of PH is not always valid. The Royston-Parmar (RP), piecewise exponential (PE), and fractional polynomial (FP) models can accommodate non-PH and provide plausible extrapolations of survival curves beyond observed data. Methods: Simulation study to assess and compare the performance of RP, PE, and FP models in a Bayesian framework estimating restricted mean survival time difference (RMSTD) at 50 years from a pairwise meta-analysis with evidence of non-PH. Individual patient data were generated from a mixture Weibull distribution. Twelve scenarios were considered varying the amount of follow-up data, number of trials in a meta-analysis, non-PH interaction coefficient, and prior distributions. Performance was assessed through bias and mean squared error. Models were applied to a metastatic breast cancer example. Results: FP models performed best when the non-PH interaction coefficient was 0.2. RP models performed best in scenarios with complete follow-up data. PE models performed well on average across all scenarios. In the metastatic breast cancer example, RMSTD at 50-years ranged from -14.6 to 8.48 months. Conclusions: Synthesis of time-to-event outcomes and estimation of RMSTD in the presence of non-PH can be challenging and computationally intensive. Different approaches make different assumptions regarding extrapolation and sensitivity analyses varying key assumptions are essential to check the robustness of conclusions to different assumptions for the underlying survival function.

Purpose: Developmental language disorder (DLD) is a neurodevelopmental disorder that impacts approximately 7% of the population and is characterized by unexplained deficits in expressive and/or receptive components of language. A common procedural learning task, serial reaction time (SRT), has been used to develop models of the basis of DLD. However, paradigms involve differing levels of implicit and explicit learning during this task, muddying interpretations of the data. Here, we tested adults with DLD on implicit and explicit SRT tasks to better understand implicit and explicit procedural learning in this population. We hypothesized that adults with DLD would demonstrate reduced learning on only the implicit SRT task, as alternate explicit neural mechanisms could lead to equivalent performance on the explicit task. Method: Fifty participants (25 with DLD and 25 with typical language) completed implicit and explicit SRT tasks, measuring their ability to learn visually presented 10-element sequences. Group differences were evaluated on sequence learning, error rates, and explicit recall of the sequence after learning. Results: Sequence learning was the same between the groups on both tasks. However, individuals with DLD showed increased errors and significantly worse recall of the explicitly learned sequence. Conclusions: Results suggest that sequence learning may be intact in this population, while aspects of explicit learning and motoric responses are impaired. Results are interpreted in light of a neurobiological model of DLD.

Some previous studies suggest that response times (RTs) on rating scale items can be informative about the content trait, but a more recent study suggests they may also be reflective of response styles. The latter result raises questions about the possible consideration of RTs for content trait estimation, as response styles are generally viewed as nuisance dimensions in the measurement of noncognitive constructs. In this article, we extend previous work exploring the simultaneous relevance of content and response style traits on RTs in self-report rating scale measurement by examining psychometric differences related to fast versus slow item responses. Following a parallel methodology applied with cognitive measures, we provide empirical illustrations of how RTs appear to be simultaneously reflective of both content and response style traits. Our results demonstrate that respondents may exhibit different response behaviors for fast versus slow responses and that both the content trait and response styles are relevant to such heterogeneity. These findings suggest that using RTs as a basis for improving the estimation of noncognitive constructs likely requires simultaneously attending to the effects of response styles.

Response times (RTs) facilitate the quantification of underlying cognitive processes in problem-solving behavior. To provide more comprehensive diagnostic feedback on strategy selection and attribute profiles with multistrategy cognitive diagnosis model (CDM) and utilize additional information for item RTs, this study develops a multistrategy cognitive diagnosis modeling framework combined with RTs. The proposed model integrates individual response accuracy and RT into a unified framework to define strategy selection and make it closer to the individual's strategy selection process. Simulation studies demonstrated that the proposed model had reasonable parameter recovery and attribute classification accuracy and outperformed the existing multistrategy CDMs and single-strategy CDMs in terms of performance. Empirical results further illustrated the practical application and the advantages of the proposed model.

Purpose: Response times (RTs) are commonly used in studying language acquisition. However, previous research utilizing RT in the context of language has largely overlooked the intra-individual variability (IIV) of RTs, which could hold significant information about the processes underlying language acquisition. Method: We explored the association between language abilities and RT variability in visuomotor tasks using two data sets from previously published studies. The participants were 7- to 10-year-old children (n = 77). Results: Our results suggest that increased variability in RTs is associated with weaker language abilities. Specifically, this within-participant variability in visuomotor RTs, especially the proportion of unusually slow responses, predicted language abilities better than mean RTs, a factor often linked to language skills in past research. Conclusions: Based on our findings, we introduce the IIV hypothesis in explaining individual differences in language development. According to our hypothesis, inconsistency in the timing of cognitive processes, reflected by increased IIV in RTs, degrades learning different aspects of language, and results in individual differences in language abilities. Future studies should further examine the relationship between IIV and language abilities, and test the extent to which the possible relationship is causal.

Childhood adversity can lead to cognitive deficits or enhancements, depending on many factors. Though progress has been made, two challenges prevent us from integrating and better understanding these patterns. First, studies commonly use and interpret raw performance differences, such as response times, which conflate different stages of cognitive processing. Second, most studies either isolate or aggregate abilities, obscuring the degree to which individual differences reflect task-general (shared) or task-specific (unique) processes. We addressed these challenges using Drift Diffusion Modeling (DDM) and structural equation modeling (SEM). Leveraging a large, representative sample of 9--10 year-olds from the Adolescent Brain Cognitive Development (ABCD) study, we examined how two forms of adversity--material deprivation and household threat--were associated with performance on tasks measuring processing speed, inhibition, attention shifting, and mental rotation. Using DDM, we decomposed performance on each task into three distinct stages of processing: speed of information uptake, response caution, and stimulus encoding/response execution. Using SEM, we isolated task-general and task-specific variances in each processing stage and estimated their associations with the two forms of adversity. Youth with more exposure to household threat (but not material deprivation) showed slower task-general processing speed, but showed intact task-specific abilities. In addition, youth with more exposure to household threat tended to respond more cautiously in general. These findings suggest that traditional assessments might overestimate the extent to which childhood adversity reduces specific abilities. By combining DDM and SEM approaches, we can develop a more nuanced understanding of how adversity affects different aspects of youth's cognitive performance.

The current study examined to what extent face and speech processing interact with each other and whether they enhance or impair the processing of the other in 5-year-olds (n = 51) and adults (n = 34). Using a computer-based speeded sorting task allowed to directly test the influence of auditory speech on face processing and the influence of face identity on auditory speech processing within one experiment. Participants were asked to either sort faces while ignoring auditory speech information (face task) or to sort auditory speech while ignoring face information (speech task). The tasks comprised three conditions: control (irrelevant dimension constant), correlational (congruent pairing of relevant and irrelevant dimension), and orthogonal (random pairing). For the 5-year-olds, reaction times did not differ in the face task, but differed in the speech task. They were the fastest in the control and the slowest in the orthogonal compared with the constant conditions. Adults' reaction times were similar across conditions and tasks indicating an independent processing of faces and speech. Hence, we found an asymmetrical processing pattern between face and auditory speech processing in children, in which face identity is processed independent of auditory speech; however, auditory speech processing is affected by face identity.

In order processing, consecutive sequences (e.g., 1-2-3) are generally processed faster than nonconsecutive sequences (e.g., 1-3-5) (also referred to as the reverse distance effect). A common explanation for this effect is that order processing operates via a memory-based associative mechanism whereby consecutive sequences are processed faster because they are more familiar and thus more easily retrieved from memory. Conflicting with this proposal, however, is the finding that this effect is often absent. A possible explanation for these absences is that familiarity may vary both within and across sequence types; therefore, not all consecutive sequences are necessarily more familiar than all nonconsecutive sequences. Accordingly, under this familiarity perspective, familiar sequences should always be processed faster than unfamiliar sequences, but consecutive sequences may not always be processed faster than nonconsecutive sequences. To test this hypothesis in an adult population, we used a comparative judgment approach to measure familiarity at the individual sequence level. Using this measure, we found that although not all participants showed a reverse distance effect, all participants displayed a familiarity effect. Notably, this familiarity effect appeared stronger than the reverse distance effect at both the group and individual level; thus, suggesting the reverse distance effect may be better conceptualized as a specific instance of a more general familiarity effect.

Background: Developmental Language Disorder (DLD) impacts various aspects of children's language abilities, including the processing of inflectional morphology. Prior research suggests that children with DLD exhibit deficits in processing speed and sensitivity to grammatical inflections, yet the relationship between these deficits remains unclear. Aims: This study aimed to investigate the relationship between processing speed and sensitivity to inflectional morphology in children with DLD, focusing on their real-time processing abilities in response to regular past tense, third person singular, and regular plural inflections at different rates of sentence articulation. Method: Eighteen children with DLD and 18 age-matched controls underwent word monitoring tasks that assessed sensitivity to grammaticality of inflections in sentences presented at normal and slow rates of articulation. Results: At a normal rate of articulation, children with DLD demonstrated slower response times and reduced sensitivity to grammaticality across all inflections compared to controls. When the articulation rate was slowed, children with DLD showed improved sensitivity, particularly to regular plural and third person singular inflections, although deficits in processing the regular past tense persisted. Conclusions: The findings suggest a significant relationship between processing speed and inflectional morphology sensitivity in children with DLD. Slower articulation rates improved grammatical sensitivity for certain inflections, highlighting the potential of tailored interventions that consider processing speed limitations. Persistent difficulties with the regular past tense inflection indicate the need for targeted support for children with DLD in this area.

Children achieve better long-term language outcomes than adults. However, it remains unclear whether children actually learn language "more quickly" than adults during real-time exposure to input--indicative of true superior language learning abilities--or whether this advantage stems from other factors. To examine this issue, we compared the rate at which children (8-10 years) and adults extracted a novel, hidden linguistic rule, in which novel articles probabilistically predicted the animacy of associated nouns (e.g., "gi lion"). Participants categorized these two-word phrases according to a second, explicitly instructed rule over two sessions, separated by an overnight delay. Both children and adults successfully learned the hidden animacy rule through mere exposure to the phrases, showing slower response times and decreased accuracy to occasional phrases that violated the rule. Critically, sensitivity to the hidden rule emerged much more quickly in children than adults; children showed a processing cost for violation trials from very early on in learning, whereas adults did not show reliable sensitivity to the rule until the second session. Children also showed superior generalization of the hidden animacy rule when asked to classify nonword trials (e.g., "gi badupi") according to the hidden animacy rule. Children and adults showed similar retention of the hidden rule over the delay period. These results provide insight into the nature of the critical period for language, suggesting that children have a true advantage over adults in the rate of implicit language learning. Relative to adults, children more rapidly extract hidden linguistic structures during real-time language exposure.

Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore, previous research has shown a complex relationship between response time and accuracy, necessitating a functional analysis to understand the patterns that manifest from this relationship. In this study, response time data are incorporated into an item response model for two purposes: (a) to examine how individuals' speed within an experimental condition affects their response accuracy on an item, and (b) to detect the differences in individuals' speed between conditions in the presence of within-condition effects. For these two purposes, by-variable smooth functions are employed to model differential and functional response time effects by experimental condition for each item. This model is illustrated using an empirical data set to describe the effect of individuals' speed on their reading comprehension ability in two experimental conditions of reading medium (paper vs. digital) by item. A simulation study showed that the recovery of parameters and by-variable smooth functions of response time was satisfactory, and that the type I error rate and power of the test for the by-variable smooth function of response time were acceptable in conditions similar to the empirical data set. In addition, the proposed method correctly identified the range of response time where between-condition differences in the effect of response time on the probability of a correct response were accurate.

Casadevante et al. (Curr Psychol 42: 4272-4285, 2023) used an objective test and found that regulation of response speed was related to better performance in a category learning task. The present study aims at analysing whether the relation between regulation of response speed and learning exists in an associative learning task. We developed ad hoc the Treasure Forest, an objective test consisting of a computerized associative learning task. We conducted a first study with 86 university students to assess the relation between spontaneous response speed and learning. Results showed that participants who acted slowly learned more than their mates who acted faster (t (83) = 8.898, p < .001, [eta-squared] = 0.672). Moreover, some students who began the task acting too fast to learn decreased their response speed by the second half of the task and simultaneously their learning index improved (t (11) = 2.325, p < 0.05, d = 0.721). Hence, self-regulating the response speed was linked to associative learning. We conducted a second study to analyse the influence of an external speed regulation on learning. The intervention group (N = 99) was prevented from clicking more than one click per second while the control group (N = 85) acted without restrictions. The intervention group achieved a higher learning index than the control group, who acted faster (t (160) = 4.828, p < 0.001, [eta-squared] =.117). Hence, regulating response speed promoted associative learning. We concluded that regulating response speed promoted associative learning, and we hypothesized that training self-regulation of response speed may improve learning and academic performance. Besides, we highlight the utility of employing objective test for analysing self-regulation.

Forced-choice (FC) measures have been widely used in many personality or attitude tests as an alternative to rating scales, which employ comparative rather than absolute judgments. Several response biases, such as social desirability, response styles, and acquiescence bias, can be reduced effectively. Another type of data linked with comparative judgments is response time (RT), which contains potential information concerning respondents' decision-making process. It would be challenging but exciting to combine RT into FC measures better to reveal respondents' behaviors or preferences in personality measurement. Given this situation, this study aims to propose a new item response theory (IRT) model that incorporates RT into FC measures to improve personality assessment. Simulation studies show that the proposed model can effectively improve the estimation accuracy of personality traits with the ancillary information contained in RT. Also, an application on a real data set reveals that the proposed model estimates similar but different parameter values compared with the conventional Thurstonian IRT model. The RT information can explain these differences.

This cross-sectional study aimed to investigate developmental changes in the efficiency of sustained, selective, and divided attention in a group of children aged 6-12 years by means of a computerized test battery. Participants included 199 children (51% female, majority White) who had normal or corrected-to-normal vision and no history of either neurological or attention deficit disorders. The study was conducted in three different schools. We used a convenience sampling strategy; each age group was sampled from one of the schools and was represented by students selected from different (parallel) classes of the same grade level. The three aspects of attention showed different developmental trajectories from 6 to 12 years. In terms of accuracy, selective attention was found to improve gradually, while the efficiency of divided attention increased dramatically across the school-age years. In terms of reaction time, all attentional components showed a slow developmental time course. The results indicate that situations in which children have to divide attention among several sources of visual information while looking for two target stimuli considerably hamper their task performance. This is especially true for children of senior preschool and primary school age.

Background: Persons with intellectual disabilities who are physically active have faster reaction time compared to the physically inactive persons with intellectual disabilities (Yildirim et al. 2010). Aim: To recognize how participation in a series of hip-hop dance workshops can improve reaction time in persons with intellectual disabilities. Methods: 13 persons with moderate intellectual disabilities aged 14-22 (M = 17,30; SD = 2,52). A quasi-experiment was prepared using a single-group plan (nine dance workshops). Study design applied: pre-test - post-test. Measurement Tool -- Optogait -- acoustic response test. Results: Reaction time measured prior to dance workshops was M = 1,58; SD = 0,48 and after workshops was M = 1,34; SD = 0,69. The analysis using Wilcoxon signed-ranks test showed that this difference is statistically significant, Z = 2,06; p < 0.05. Conclusions: Hip-hop dance classes improve response times in persons with moderate intellectual disabilities.

Purpose: Anomia, or word-finding difficulty, is a prevalent and persistent feature of aphasia, a neurogenic language disorder affecting millions of people in the United States. Anomia assessments are essential for measuring performance and monitoring outcomes in clinical settings. This study aims to evaluate the reliability of response time (RT) annotation based on spectrograms and assess the predictive utility of proxy RTs collected during computerized naming tests. Method: Archival data from 10 people with aphasia were used. Trained research assistants phonemically transcribed participants' responses, and RTs were generated from the onset of picture stimulus to the initial phoneme of the first complete attempt. RTs were measured in two ways: hand-generated RTs (from spectrograms) and proxy RTs (automatically extracted online). Interrater agreement was evaluated based on interclass correlation coefficients and generalizability theory tools including variance partitioning and the [Phi]-coefficient. The predictive utility of proxy RTs was evaluated within a linear mixed-effects framework. Results: RT annotation reliability showed near-perfect agreement across research assistants ([Phi]-coefficient = 0.93), and the variance accounted for by raters was negligible. Furthermore, proxy RTs significantly and strongly predicted hand-annotated RTs (R[superscript 2] = [approximately]0.82), suggesting their utility as an alternative measure. Conclusions: The study confirms the reliability of RT annotation and demonstrates the predictive utility of proxy RTs in estimating RTs during computerized naming tests. Incorporating proxy RTs can enhance clinical assessments, providing additional information for cognitive measurement. Further research with larger samples and exploring the impact of using proxy RTs in different psychometric models could optimize clinical protocols and improve communication interventions for individuals with aphasia.

Research on methods for measuring examinee engagement with constructed-response items is limited. The present study used data from the PISA 2018 Reading domain to construct and compare indicators of test-taking effort on constructed-response items: response time, number of actions, the union (combining effortless responses detected by either response time or number of actions measures or both), and the intersection of response time and number of actions (responses identified as effortless by both response time and number of actions measures). A 10% normative threshold identification method was used for both response time and number of actions. Pre-defined validation criteria were used to explore the validity of each of the four indicators. Number of actions yielded a similar number of effortless responses as the union measure. Response time and intersection measures also had similar results and were related to lower disengagement than the number of actions and union indicators. With the normative threshold identification method, number of actions and the union of the two process data may result in a higher level of response misclassifications on some constructed-response items than response time and the intersection measures. Response time appears to be a more valid indicator of test-taking effort on constructed-response items than number of actions.

The purpose of this study was to investigate the influence of cognitive training (CT) using mobile applications on attentional control and impulsivity among pre-service teachers. Pre-service teachers were divided into two groups: experimental (n=25) and control (n=14) groups, they were selected from a large sample (n=718). Over 28 sessions, the training group engaged in CT tasks (the tower of Hanoi [TOH] and simple reaction time [SRT]), whereas the control group did not participate in training sessions or understand the main goal of the study. In the criterion tasks (matching familiar figures and numerical Stroop), all participants were pre- and post-tested. CT using mobile applications helps us see how the trained group's attentional control and impulsivity had influenced. we also observed the progress of trained group as measured by number of moves or time for TOH, and reaction time (RT) for SRT. Other effects were observed in comparison to a control group that underwent no training. There were changes in impulsivity in post-test in favor of training group according to number of moves, and time component of matching familiar figures test. Corresponding to attentional control, the finding indicated that there were changes in (number and size) RT component in post-test in favor of training group.

For students to advance beyond arithmetic, they must learn how to attend to the structure of math notation. This process can be challenging due to students' left-to-right computing tendencies. Brackets are used in mathematics to indicate precedence but can also be used as superfluous cues and perceptual grouping mechanisms in instructional materials to direct students' attention and facilitate accurate and efficient problem solving. This online study examines the impact of operator position and superfluous brackets on students' performance solving arithmetic problems. A total of 528 students completed a baseline assessment of math knowledge, then were randomly assigned to one of six conditions that varied in the placement of higher-order operator and the presence or absence of superfluous brackets: [a] brackets-left (e.g., (5 * 4) + 2 + 3), [b] no brackets-left (e.g., 5 * 4 + 2 + 3), [c] brackets-center (e.g., 2 + (5 * 4) + 3), [d] no brackets-center (e.g., 2 + 5 * 4 + 3), [e] brackets-right (e.g., 2 + 3 + (5 * 4)), and [f] no brackets-right (e.g., 2 + 3 + 5 * 4). Participants simplified expressions in an online learning platform with the goal to "master" the content by answering three questions correctly in a row. Results showed that, on average, students were more accurate in problem solving when the higher-order operator was on the left side and less accurate when it was on the right compared to in the center. There was also a main effect of the presence of brackets on mastery speed. However, interaction effects showed that these main effects were driven by the center position: superfluous brackets only improved accuracy when students solved expressions with brackets with the operator in the center. This study advances research on perceptual learning in math by revealing how operator position and presence of superfluous brackets impact students' performance. Additionally, this research provides implications for instructors who can use perceptual cues to support students during problem solving.

One of the biggest challenges for online learning is upholding academic integrity in online assessments. In particular, institutions and faculties attach importance to exam security and academic dishonesty in the online learning process. The aim of this study was to compare the test-taking behaviors and academic achievements of students in proctored and unproctored online exam environments. The log records of students in proctored and unproctored online exam environments were compared using visualization and log analysis methods. The results showed that while a significant difference was found between time spent on the first question on the exam, total time spent on the exam, and the mean and median times spent on each question, there was no significant difference between the exam scores of students in proctored and unproctored groups. In other words, it has been observed that reliable exams can be conducted without the need for proctoring through an appropriate assessment design (e.g., using multiple low-stake formative exams instead of a single high-stake summative exam). The results will guide instructors in designing assessments for their online courses. It is also expected to help researchers in how exam logs can be analyzed and in extracting insights regarding students' exam-taking behaviors from the logs.

Arithmetic is commonly taught through timed practice and drill, yet little research exists to guide optimal practice structure. This study investigated the effects of distributed practice and time pressure on the acquisition and retention of arithmetic facts. Following a pretest, adult participants (n = 211) were randomly assigned to learn unfamiliar times tables (17 and 19) in one of ten conditions in a 5 (spacing: daily, every other day, weekly, every 10 days, every other week) x 2 (time pressure: timed or untimed) factorial design. After the learning phase, retention tests were given to measure both accuracy and response time immediately, after a ten-day delay, and at the end of semester. Time pressure during learning elevated participants' perceived stress. It also led to faster response times during testing when learning was spaced daily and every other day, but slower response times for all other spacings. These patterns were reversed in the absence of time pressure during learning. While timed and untimed practice during learning led to similar forgetting of practiced facts over time, untimed practice allowed participants to gradually improve on unpracticed facts and conceptually related facts across test phases. Ultimately, distributed practice and time pressure may interact in complex ways to affect the learning and retention of arithmetic facts, and the effects shown in previous studies using verbal material (e.g., narrative texts, word lists) may not generalize to arithmetic.

In this paper, it is aimed to evaluate different aspects of students' response time to items in the mathematics test and their test effort as an indicator of test motivation with the help of some variables at the item and student levels. The data consists of 4th-grade Singapore and Turkish students participating in the TIMSS 2019. Response time was examined in terms of item difficulties, content and cognitive domains of the items in the mathematics test self-efficacy for computer use, home resources for learning, confident in mathematics, like learning mathematics, and gender variables at the student level. In the study, it was determined that all variables considered at the item level affected the response time of the students in both countries. It was concluded that the amount of variance explained by the student-level variables in the response time varied for each the country. Another finding of the study showed that the cognitive level of the items positively related to the mean response time. Both Turkish and Singaporean students took longer to respond to data domain items compared to number and measurement and geometry domain items. Additionally, based on the criterion that the response time effort index was less than 0.8, rapid-guessing behavior, and therefore low motivation, was observed below 1% for both samples. Besides, we observed that Turkish and Singaporean students were likely to have rapid guessing behavior when an item in the reasoning domain became increasingly difficult. A similar result was identified in the data content domain, especially for Turkish graders.

A standard treatment of proper names in second language (L2) vocabulary analyses is to categorize them as known items. This treatment is often supported by the assumption that the form of the proper name (i.e., the initial capital letter) and the context will indicate to the L2 reader that the item is a proper name. The aim of this work-in- progress report is to propose a methodological approach for investigating the claim that form facilitates proper name recognition for L2 readers, in particular for those whose first language (L1) employs a different orthography and writing system than English. While previous research has looked at the orthographic processing of proper names for L1 users, a gap exists in the literature for L2 readers. The assumption that L2 readers are skilled at identifying proper names from the initial capital warrants investigation as there are implications for the processing load in both pedagogical and testing situations. A proposed method to investigate the initial capital letter as a cue for L2 English proper name recognition is a name decision task, a variation on a lexical decision task, using English proper names and common nouns that are familiar to Japanese participants. Reaction times and error percentages to proper names with case type as a factor (i.e., initial capital letter or all lowercase) will be submitted to a linear mixed effects analysis.

Different variants of the selected-response (SR) item type have been developed for various reasons (i.e., simulating realistic situations, examining critical-thinking and/or problem-solving skills). Generally, the variants of SR item format are more complex than the traditional multiple-choice (MC) items, which may be more challenging to test takers and thus may discourage their test engagement on low-stakes assessments. Low test-taking effort has been shown to distort test scores and thereby diminish score validity. We used data collected from a large-scale assessment to investigate how variants of the SR item format may impact test properties and test engagement. Results show that the studied variants of SR item format were generally harder and more time consuming compared to the traditional MC item format, but they did not show negative impact on test-taking effort. However, item position had a dominating influence on nonresponse rates and rapid-guessing rates in a cumulative fashion, even though the effect sizes were relatively small in the studied data.

Statistical learning enables humans to involuntarily process and utilize different kinds of patterns from the environment. However, the cognitive mechanisms underlying the simultaneous acquisition of multiple regularities from different perceptual modalities remain unclear. A novel multidimensional serial reaction time task was developed to test 40 participants' ability to learn simple first-order and complex second-order relations between uni-modal visual and cross-modal audio-visual stimuli. Using the difference in reaction times between sequenced and random stimuli as the index of domain-general statistical learning, a significant difference and dissociation of learning occurred between the initial and final learning phases. Furthermore, we used a negative and positive occurrence-frequency-and-reaction-time correlation to indicate implicit and explicit learning, respectively, and found that learning simple uni-modal patterns involved an implicit-to-explicit segue, while acquiring complex cross-modal patterns required an explicit-to-implicit segue, resulting in a X-shape crossing of regularity learning. Thus, we propose an X-way hypothesis to elucidate the dynamic interplay between the implicit and explicit systems at two distinct stages when acquiring various regularities in a multidimensional probability space.