Background: Quantitative methods used in social science research draw from frameworks that (a) abstract constructs and separate them from relevant knowledges that are not easily quantifiable, and (b) reify deficit orientations in support of racial oppression (Strunk & Hoover, 2019; Zuberi, 2001; Zuberi & Bonilla-Silva, 2008). This paper…

Teachers need instructionally useful data to make timely and appropriate decisions to meet their students with intensive needs (Filderman et al., 2019). Teachers have still experienced difficulty in instructional decision making in response to students' CBM data (Gesel et al., 2021). This is because data itself that was used for simply determining…

The e-book system, widely used in learning and teaching, has generated a large amount of log data over time. Researchers analyzing these data have discovered the existence of student's jump back behavior, which is positively correlated with academic achievement. However, they also found that this behavior has the disadvantage of low efficiency. To…

We investigated the effect of expertise on the wisdom of crowds. Participants completed 60 trials of a numerical estimation task, during which they saw 50-100 asterisks and were asked to estimate how many stars they had just seen. Experiment 1 established that both inner- and outer-crowd wisdom extended to our novel task: Single responses alone…

The paper presents the memory conformity effect phenomenon, which assumes that information about the same event that a witness acquires from another witness (misinformation) is incorporated into the first witness' memory of the event (original information). The study has two goals: (1) to verify the existence of people with the memory conformity…

The accuracy of certain internal consistency estimators have been questioned in recent years. The present study tests the accuracy of six reliability estimators (Cronbach's alpha, omega, omega hierarchical, Revelle's omega, and greatest lower bound) in 140 simulated conditions of unidimensional continuous data with uncorrelated errors with varying…

Although drawing is frequently used during investigative interviews, few studies have explored the effectiveness of draw-and-talk techniques with very young children. In this article, we examined the effects of drawing on preschoolers' (3-6 years old) reports of self-experienced and non-experienced events. In Study I, we interviewed 83…

Developmental dyscalculia (DD) is a mathematical learning disability that occurs in around 5%-7% of the population. At present, there are only a handful of screening tools to identify children that might be at risk of developing DD. The present study evaluated the classification accuracy of one such tool: The Numeracy Screener, a 2-min test of…

Unit-weight sum scores (UWSSs) are routinely used as estimates of factor scores on the basis of solutions obtained with the nonlinear exploratory factor analysis (EFA) model for ordered-categorical responses. Theoretically, this practice results in a loss of information and accuracy, and is expected to lead to biased estimates. However, the…

Researchers frequently use Rasch models to analyze survey responses because these models provide accurate parameter estimates for items and examinees when there are missing data. However, researchers have not fully considered how missing data affect the accuracy of dimensionality assessment in Rasch analyses such as principal components analysis…

The more frequent collection of response time data is leading to an increased need for an understanding of how such data can be included in measurement models. Models for response time have been advanced, but relatively limited large-scale empirical investigations have been conducted. We take advantage of a large dataset from the adaptive NWEA MAP…

The more frequent collection of response time data is leading to an increased need for an understanding of how such data can be included in measurement models. Models for response time have been advanced, but relatively limited large-scale empirical investigations have been conducted. We take advantage of a large data set from the adaptive NWEA…

According to the Diagnostic Feature-Detection (DFD) hypothesis, the presence of fillers that match the eyewitness's description of the perpetrator will boost discriminability beyond a showup, and very few fillers may suffice to produce the advantage. We tested this hypothesis by comparing showups with simultaneous lineups of size 3, 6, 9, and 12.…

Nonprobative but related photos can increase the perceived truth value of statements relative to when no photo is presented ("truthiness"). In two experiments, we tested whether truthiness generalizes to credibility judgments in a forensic context. Participants read short vignettes in which a witness viewed an offence. The vignettes were…

Background: During systematic reviews, "data abstraction" refers to the process of collecting data from reports of studies. The data abstractors' level of experience may affect the accuracy of data abstracted. Using data from a randomized crossover trial in which different data abstraction approaches were compared, we examined the…