Large language models (LLMs), through their exposure to massive collections of online text, learn to reproduce the perspectives and linguistic styles of diverse social and cultural groups. This capability suggests a powerful social scientific application--the simulation of empirically realistic, culturally situated human subjects. Synthesizing…

Linguistic accuracy (LA) has been shown to be indicative of second language (L2) essay quality through the use of various measurements, such as error counts and error-free T-units. However, concerns persist regarding the precise definition of LA, as findings in recent literature often depend on the specific measures of LA employed. This study…

Usage-based theories of children's syntactic acquisition (e.g., Tomasello, 2000a) predict that children's abstract lexical categories emerge from their experience with particular words in constructions in their input. Because modifiers in English are almost always prenominal, children might initially treat adjectives similarly to nouns when used…

Despite considerable interest in children's ability to provide temporal information, there remain many unanswered questions about what children can provide and how to elicit this information. In Study 1, children (N = 147, aged 5 to 10 years) participated in an activity session. Either shortly after or 1 day later, children completed an interview…

In a seminal paper, Moher (Psychol Sci 31(1):31-42, 10.1177/0956797619886809, 2020) reported that a salient distractor induced observers to quit the search early when the target was absent and increased the error rate when the target was present. This early quitting effect (EQE) was considered to impact real-world target detection. We were…

Across two studies, children ages 6-9 (N = 160, 82 boys, 78 girls; 75% White, 91% non-Hispanic) rated an inaccurate expert's knowledge and provided explanations for the expert's inaccurate statements. In Study 1, children's knowledge ratings decreased as he provided more inaccurate information. Ratings were predicted by age (i.e., older children…

Computer Aided Detection (CAD) has been used to help readers find cancers in mammograms. Although these automated systems have been shown to help cancer detection when accurate, the presence of CAD also leads to an over-reliance effect where miss errors and false alarms increase when the CAD system fails. Previous research investigated CAD systems…

The "LFK" index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the "LFK" index test to three standard tests for funnel plot asymmetry in settings with smaller or larger…

In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…

Past research has demonstrated that children prefer to learn from confident rather than hesitant informants. It is frequently assumed that they do so because they believe confidence to predict a person's knowledge and future accuracy; however, this assumption has not previously been tested. The present investigation therefore explored how 3- to…

As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…

This study introduces an approach to estimate the uncertainty in bibliometric indicator values that is caused by data errors. This approach utilizes Bayesian regression models, estimated from empirical data samples, which are used to predict error-free data. Through direct Monte Carlo simulation--drawing many replicates of predicted data from the…

Datasets are critical for emotion analysis in the machine learning field. This study aims to explore emotion analysis datasets and related benchmarks in online learning, since, currently, there are very few studies that explore the same. We have scientifically labeled the topic and nine-category emotion of 4715 comment texts in online learning…

Difficulties in academic achievement have been linked to adverse outcomes such as increased problem behavior and delays in development (Hinshaw, 1992). Early education should include training to self-monitor, as self-monitoring can improve academic performance and has a wide range of uses (Harris et al., 2005). Previous literature typically uses…

The response time concealed information test (RT-CIT) can reveal that a person recognizes a relevant item (probe) among other, irrelevant items, based on slower responding to the probe compared to the irrelevant items. Thereby, if this person is concealing knowledge about the relevance of this item (e.g., recognizing it as a murder weapon), this…