Balancing accuracy and speed in the development of inhibitory control.

Inhibitory control develops rapidly and nonlinearly, making its accurate assessment challenging. This research investigated the developmental dynamics of accuracy and response latency in inhibitory control assessment of 3- to 6-year-old children in a longitudinal study (N = 431; 212 girls; Mage = 4.86 years, SD = 0.99) and a cross-sectional study (N = 135; 71 girls; Mage = 4.24 years, SD = 0.61). We employed a computerized Stroop task to measure inhibitory control, with fluid intelligence serving as a covariate. A growth curve analysis revealed that children who reached an accuracy threshold of 80% earlier demonstrated faster improvements in response latency. Both the cross-sectional and longitudinal findings demonstrated a positive association between response latency in the inhibitory control task and fluid intelligence, but only when participants had achieved and maintained high accuracy. These results suggest that researchers should consider response latency as an indicator of inhibitory control only in children who manage to respond accurately in an inhibitory control task.

Remote Testing of Reading Comprehension in 8-Year-Old Children: Mode and Setting Effects.

Proctored remote testing of cognitive abilities in the private homes of test-takers is becoming an increasingly popular alternative to standard psychological assessments in test centers or classrooms. Because these tests are administered under less standardized conditions, differences in computer devices or situational contexts might contribute to measurement biases that impede fair comparisons between test-takers. Because it is unclear whether cognitive remote testing might be a feasible assessment approach for young children, the present study (N = 1,590) evaluated a test of reading comprehension administered to children at the age of 8 years. To disentangle mode from setting effects, the children finished the test either in the classroom on paper or computer or remotely on tablets or laptops. Analyses of differential response functioning found notable differences between assessment conditions for selected items. However, biases in test scores were largely negligible. Only for children with below-average reading comprehension small setting effects between on-site and remote testing were observed. Moreover, response effort was higher in the three computerized test versions, among which, reading on tablets most strongly resembled the paper condition. Overall, these results suggest that, on average, even for young children remote testing introduces little measurement bias.

Differential Switch Costs in Typically Achieving Children and Children With Mathematical Difficulties.

Children with mathematical difficulties need to spend more time than typically achieving children on solving even simple equations. Since these tasks already require a larger share of their cognitive resources, additional demands imposed by the need to switch between tasks may lead to a greater decline of performance in children with mathematical difficulties. We explored differential task switch costs with respect to switching between addition versus subtraction with a tablet-based arithmetic verification task and additional standardized tests in elementary school children in Grades 1 to 4. Two independent studies were conducted. In Study 1, we assessed the validity of a newly constructed tablet-based arithmetic verification task in a controlled classroom-setting (n = 165). Then, effects of switching between different types of arithmetic operations on accuracy and response latency were analyzed through generalized linear mixed models in an online-based testing (Study 2; n = 3,409). Children with mathematical difficulties needed more time and worked less accurately overall. They also exhibited a stronger performance decline when working in a task-switching condition, when working on subtraction (vs. addition) items and in operations with two-digit (vs. one-digit) operations. These results underline the value of process data in the context of assessing mathematical difficulties.

When biology takes over: TV formats like The Bachelor and The Bachelorette confirm evolutionary theories of partner selection.

Introduction: In this study, we investigated the impact of age on mate selection preferences in males and females, and explored how the formation and duration of committed relationships depend on the sex of the person making the selection. Methods: To this end, we utilized data from the television dating shows The Bachelor and The Bachelorette. In these programs, either a single man ("bachelor") or a woman ("bachelorette") has the opportunity to select a potential long-term partner from a pool of candidates. Our analysis encompassed a total of n = 169 seasons from 23 different countries, beginning with the first airing in 2002. Results: We found that the likelihood of the final couple continuing their relationship beyond the broadcast was higher in The Bachelorette than in The Bachelor, although the duration of these relationships was not significantly influenced by the type of show. On average, women were younger, both when selecting their partner and when being chosen. However, men exhibited a greater preference for larger age differences than women. Furthermore, the age of the chosen male partners significantly increased with the age of the "bachelorettes," whereas "bachelors" consistently favored women around 25.5 years old, regardless of their own age. Discussion: We discuss these findings within the context of parental investment theory and sexual strategies theory.

A tutorial on automatic post-stratification and weighting in conventional and regression-based norming of psychometric tests.

Norm scores are an essential source of information in individual diagnostics. Given the scope of the decisions this information may entail, establishing high-quality, representative norms is of tremendous importance in test construction. Representativeness is difficult to establish, though, especially with limited resources and when multiple stratification variables and their joint probabilities come into play. Sample stratification requires knowing which stratum an individual belongs to prior to data collection, but the required variables for the individual's classification, such as socio-economic status or demographic characteristics, are often collected within the survey or test data. Therefore, post-stratification techniques, like iterative proportional fitting (= raking), aim at simulating representativeness of normative samples and can thus enhance the overall quality of the norm scores. This tutorial describes the application of raking to normative samples, the calculation of weights, the application of these weights in percentile estimation, and the retrieval of continuous, regression-based norm models with the cNORM package on the R platform. We demonstrate this procedure using a large, non-representative dataset of vocabulary development in childhood and adolescence (N = 4542), using sex and ethnical background as stratification variables.

Reducing the Bias of Norm Scores in Non-Representative Samples: Weighting as an Adjunct to Continuous Norming Methods.

We investigated whether the accuracy of normed test scores derived from non-demographically representative samples can be improved by combining continuous norming methods with compensatory weighting of test results. To this end, we introduce Raking, a method from social sciences, to psychometrics. In a simulated reference population, we modeled a latent cognitive ability with a typical developmental gradient, along with three demographic variables that were correlated to varying degrees with the latent ability. We simulated five additional populations representing patterns of non-representativeness that might be encountered in the real world. We subsequently drew smaller normative samples from each population and used an one-parameter logistic Item Response Theory (IRT) model to generate simulated test results for each individual. Using these simulated data, we applied norming techniques, both with and without compensatory weighting. Weighting reduced the bias of the norm scores when the degree of non-representativeness was moderate, with only a small risk of generating new biases.

Improvement of Norm Score Quality via Regression-Based Continuous Norming.

The interpretation of psychometric test results is usually based on norm scores. We compared semiparametric continuous norming (SPCN) with conventional norming methods by simulating results for test scales with different item numbers and difficulties via an item response theory approach. Subsequently, we modeled the norm scores based on random samples with varying sizes either with a conventional ranking procedure or SPCN. The norms were then cross-validated by using an entirely representative sample of N = 840,000 for which different measures of norming error were computed. This process was repeated 90,000 times. Both approaches benefitted from an increase in sample size, with SPCN reaching optimal results with much smaller samples. Conventional norming performed worse on data fit, age-related errors, and number of missings in the norm tables. The data fit in conventional norming of fixed subsample sizes varied with the granularity of the age brackets, calling into question general recommendations for sample sizes in test norming. We recommend that test norms should be based on statistical models of the raw score distributions instead of simply compiling norm tables via conventional ranking procedures.

Continuous norming of psychometric tests: A simulation study of parametric and semi-parametric approaches.

Continuous norming methods have seldom been subjected to scientific review. In this simulation study, we compared parametric with semi-parametric continuous norming methods in psychometric tests by constructing a fictitious population model within which a latent ability increases with age across seven age groups. We drew samples of different sizes (n = 50, 75, 100, 150, 250, 500 and 1,000 per age group) and simulated the results of an easy, medium, and difficult test scale based on Item Response Theory (IRT). We subjected the resulting data to different continuous norming methods and compared the data fit under the different test conditions with a representative cross-validation dataset of n = 10,000 per age group. The most significant differences were found in suboptimal (i.e., too easy or too difficult) test scales and in ability levels that were far from the population mean. We discuss the results with regard to the selection of the appropriate modeling techniques in psychometric test construction, the required sample sizes, and the requirement to report appropriate quantitative and qualitative test quality criteria for continuous norming methods in test manuals.

Interactive Elaborative Storytelling: Engaging Children as Storytellers to Foster Vocabulary.

Positive effects of shared reading for children's language development are boosted by including instruction of word meanings and by increasing interactivity. The effects of engaging children as storytellers on vocabulary development have been less well studied. We developed an approach termed Interactive Elaborative Storytelling (IES), which employs both word-learning techniques and children's storytelling in a shared-reading setting. To systematically investigate potential benefits of children as storytellers, we contrasted this approach to two experimental groups, an Elaborative Storytelling group employing word-learning techniques but no storytelling by children and a Read-Aloud group, excluding any additional techniques. The study was a 3 × 2 pre-posttest randomized design with 126 preschoolers spanning 1 week. Measured outcomes were receptive and expressive target vocabulary, story memory, and children's behavior during story sessions. All three experimental groups made comparable gains on target words from pre- to posttest and there was no difference between groups in story memory. However, in the Elaborative Storytelling group, children were the least restless. Findings are discussed in terms of their contribution to optimizing shared reading as a method of fostering language.

A Continuous Solution to the Norming Problem.

Conventional methods for producing test norms are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. We propose a new approach for producing continuous test norms to address these problems that also has the added advantage of not requiring assumptions about the distribution of the raw data: Norm values are established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The proposed method appears to minimize bias arising from sampling and measurement error, while handling marked deviations from normality-such as are commonplace in clinical samples. In addition to step-by-step instructions in how to apply this method, we demonstrate its advantages over conventional discrete norming procedures using norming data from two different psychometric tests, employing either age norms ( N = 3,555) or grade norms ( N = 1,400).

Reading skills among students with intellectual disabilities.

Students with intellectual disabilities (ID) display an extremely wide variety of skills in the field of literacy, and the ability to read and write are central learning aims in the education of students with ID. It is vital to gain detailed knowledge on the literacy skills of students with ID in order to plan instruction, create learning environments, implement educational policies or funding models and specify future fields of research. However, there has been little research into the prevalence and variation of their reading skills. The present study assessed the reading stages of 1629 school-aged students with ID regardless of aetiology (age 6-21) in Bavaria, one of the largest regions in Germany within a randomly chosen and representative sample. Teachers described the reading and writing stages of their students in a questionnaire following the developmental model of Frith. Results indicate that 29.3% do not read at all, 6.8% read at a logographic stage, 31.9% at an alphabetic and 32% at an orthographic level. Writing achievements are lower on average. We analyze and discuss the determinants of literacy in this sample with regard to the sociocultural background of students with ID and draw conclusions for teaching and school policies.

Attitudes of mothers towards their child with Down syndrome before and after the introduction of prenatal diagnosis.

In 1970, before the introduction of prenatal diagnosis of chromosome anomalies, an unpublished questionnaire study concerning the social and emotional situation of mothers of children with Down syndrome was conducted in southern Germany. To assess the psychosocial impact of the availability of prenatal diagnosis on parents of genetically handicapped children, we re-evaluated and repeated the 1970 study over 30 years later. Although mothers' feelings of guilt for having a child with disabilities remained on a low level, today's mothers have a stronger feeling of being involuntarily segregated in society. On the other hand, they more often experience support and respect from outside, particularly through self-support groups; moreover, tendencies of active withdrawal from social life have decreased.