Socioeconomic bias in special education placement decisions

This study analyzed the planning and placement decisions of the Educational Placement and Planning Committees for 973 students in the State of Michigan. An attempt was made to determine if evidence suggesting a socioeconomic bias in placement existed. Data included students from five categories: learning disabled (N = 323), educable mentally impaired (N = 163), emotionally impaired (N = 83), otherwise impaired (N = 70), and nonimpaired (N = 334). No statistically significant differences that would indicate an SES bias were found. However, other factors (sex, age, intelligence, location of district) may contribute substantially to special education placement. Significant agreement was found between school psychologists and teacher consultants with respect to placement decisions. Results are discussed in terms of the apparent absence of any socioeconomic bias in team decision making.     

Measurement Invariance in Confirmatory Factor Analysis: An Illustration Using IQ Test Performance of Minorities

Measurement invariance with respect to groups is an essential aspect of the fair use of scores of intelligence tests and other psychological measurements. It is widely believed that equal factor loadings are sufficient to establish measurement invariance in confirmatory factor analysis. Here, it is shown why establishing measurement invariance with confirmatory factor analysis requires a statistical test of the equality over groups of measurement intercepts. Without this essential test, measurement bias may be overlooked. A re-analysis of a study by Te Nijenhuis, Tolboom, Resing, and Bleichrodt (2004) on ethnic differences on the RAKIT IQ test illustrates that ignoring intercept differences may lead to the conclusion that bias of IQ tests with respect to minorities is small, while in reality bias is quite severe.     

The Improvement of Mothers’ and Children’s Emotional and Behavioral Reactions through the Modification of Attentional Bias in Mothers: A Micro-Trial Study

Objective. The aim of this study was to test whether and to what extent inducing attentional bias in mothers toward a child’s positive emotions using a micro-trial method would improve mothers’ emotional and behavioral reactions in parenting-related situations. Effects on children were also assessed. Design. Forty-two mothers of 4- to 5-year-old children participated. Half of the mothers were exposed to an attention bias modification task designed to elicit a transient bias toward positive stimuli. After the manipulation, they were observed during a free-play session and frustration laboratory tasks designed to elicit positive and negative emotions. Results. Mothers exposed to the attention bias modification task displayed more positive emotional and behavioral reactions toward their child during both free-play and frustration tasks. Their children also behaved better, especially during the free-play session. The influence of mothers’ attention allocation on children’s outcomes was mediated by mothers’ behavior. Conclusions. An attention bias modification program is useful in improving interactions between mothers and children.     

Children's Attractiveness,Gender, and Race Biases: A Comparison of Their Strength and Generality

Although research suggests that facial attractiveness biases significantly affect social development and interactions, these biases are understudied in the developmental literature and are overlooked when designing interventions relative to gender and race. The authors, therefore, compared how much bias 3‐ to 11‐year‐olds (N = 102) displayed in the three domains. They also examined whether bias and flexibility (understanding that different social groups can possess similar attributes) were related across domains. Children's attractiveness biases, particularly for girl targets, were as strong as or stronger than gender or race biases. Flexibility, but not bias, was related across domains. Developmental scientists and policy makers should increase efforts toward understanding development of attractiveness biases and determine which methods of teaching flexibility are most successful at reducing bias across domains.     

An Alternative Scoring Formula for Multiple-Choice and True-False Tests

Abstract

Scoring multipie-choice questions according to the simple scoring systems S₁ = R, where R is the number of correct answers, produces an upward bias in scores of poorer students as a result of guessing. The scoring formula conventionally used to adjust for guessing is S₂ R-W/(n-1), where W is the number of wrong answers and nis the number of choices per question. However, S₂ is based on the unrealistic assumption that on each question the student either knows the correct answer or guesses randomly. On the basis of a more realistic assumption an alternative scoring formula is derived, S₄ = [nR + (n-1)Q - Q²/R]/2(n-1), where Q is the number of questions. Compared to S₄, the conventional formula (S₂) has a downward bias for Q/n < R < Q and the simple formula (S₁) has a downward bias for Q/(n-2)<R<Q in addition to its upward bias for R<Q/(n-2).     

Racial Categorization Predicts Implicit Racial Bias in Preschool Children

This research investigated the relation between racial categorization and implicit racial bias in majority and minority children. Chinese and Indian 3- to 7-year-olds from Singapore (N = 158) categorized Chinese and Indian faces by race and had their implicit and explicit racial biases measured. Majority Chinese children, but not minority Indian children, showed implicit bias favoring own race. Regardless of ethnicity, children's racial categorization performance correlated positively with implicit racial bias. Also, Chinese children, but not Indian children, displayed explicit bias favoring own race. Furthermore, children's explicit bias was unrelated to racial categorization performance and implicit bias. The findings support a perceptual–social linkage in the emergence of implicit racial bias and have implications for designing programs to promote interracial harmony.     

Local Linear Observed‐Score Equating

Two methods of local linear observed‐score equating for use with anchor‐test and single‐group designs are introduced. In an empirical study, the two methods were compared with the current traditional linear methods for observed‐score equating. As a criterion, the bias in the equated scores relative to true equating based on Lord's (1980) definition of equity was used. The local method for the anchor‐test design yielded minimum bias, even for considerable variation of the relative difficulties of the two test forms and the length of the anchor test. Among the traditional methods, the method of chain equating performed best. The local method for single‐group designs yielded equated scores with bias comparable to the traditional methods. This method, however, appears to be of theoretical interest because it forces us to rethink the relationship between score equating and regression.     

Comparing Multilevel and Classical Confirmatory Factor Analysis Parameterizations of Multirater Data: A Monte Carlo Simulation Study

This simulation study assesses the statistical performance of two mathematically equivalent parameterizations for multitrait–multimethod data with interchangeable raters—a multilevel confirmatory factor analysis (CFA) and a classical CFA parameterization. The sample sizes of targets and raters, the factorial structure of the trait factors, and rater missingness are varied. The classical CFA approach yields a high proportion of improper solutions under conditions with small sample sizes and indicator-specific trait factors. In general, trait factor related parameters are more sensitive to bias than other types of parameters. For multilevel CFAs, there is a drastic bias in fit statistics under conditions with unidimensional trait factors on the between level, where root mean square error of approximation (RMSEA) and χ2 distributions reveal a downward bias, whereas the between standardized root mean square residual is biased upwards. In contrast, RMSEA and χ2 for classical CFA models are severely upwardly biased in conditions with a high number of raters and a small number of targets.     

Does Parent–Child Discussion of Peer Provocations Reduce Young Children's Hostile Attributional Bias?

Two studies investigated whether parent–child discussion of peer provocations reduces young children's hostile attributional bias. Study 1 (N = 109, age 4–7)—an observational study—showed that parent–child discussion of nonhostile attributions (when reading a picture book) predicted reductions in children's hostile attributional bias from pre‐ to postdiscussion. Study 2 (N = 160, age 4–6)—an experimental study—showed that stimulating parents to discuss either nonhostile attributions or normative beliefs (vs. a control condition) reduced children's hostile attributional bias in response to hypothetical vignettes, but not in response to a staged peer provocation. These findings suggest that by framing social situations, parents may help their children perceive less hostility in their social worlds.     

Discrimination and Ethnic-Racial Socialization Among Youth Adopted From South Korea Into White American Families

The current study examined how discrimination relates to adjustment outcomes in a sample of internationally, transracially adopted Korean Americans from the Minnesota Sibling Interaction and Behavior Study (N = 456 adoptees; M_age at T1 = 14.9, M_age at T2 = 18.3, M_age at T3 = 22.3). The moderating roles of ethnic socialization and preparation for bias by parents (i.e., ethnic-racial socialization) were also examined. Results indicated that discrimination predicted higher levels of depressive and externalizing symptoms in youth who reported less preparation for bias. In those experiencing more preparation for bias, associations were not significantly different from zero. Ethnic socialization did not moderate these associations. Such findings provide important information for adoptive parents regarding how to prepare their children to cope with discrimination.     

A Long-Term Effect of Perceptual Individuation Training on Reducing Implicit Racial Bias in Preschool Children

This study tracked the long-term effect of perceptual individuation training on reducing 5-year-old Chinese children's (N = 95, M_age = 5.64 years) implicit pro-Asian/anti-Black racial bias. Initial training to individuate other-race Black faces, followed by supplementary training occurring 1 week later, resulted in a long-term reduction of pro-Asian/anti-Black bias (70 days). In contrast, training Chinese children to recognize White or Asian faces had no effect on pro-Asian/anti-Black bias. Theoretically, the finding that individuation training can have a long-term effect on reducing implicit racial bias in preschoolers suggests that a developmentally early causal linkage between perceptual and social processing of faces is not a transitory phenomenon. Practically, the data point to an effective intervention method for reducing implicit racism in young children.     

A Note on Cluster Effects in Latent Class Analysis

This article examines the effects of clustering in latent class analysis. A comprehensive simulation study is conducted, which begins by specifying a true multilevel latent class model with varying within- and between-cluster sample sizes, varying latent class proportions, and varying intraclass correlations. These models are then estimated under the assumption of a single-level latent class model. The outcomes of interest are measures of bias in the Bayesian Information Criterion (BIC) and the entropy R ² statistic relative to accounting for the multilevel structure of the data. The results indicate that the size of the intraclass correlation as well as between- and within-cluster sizes are the most prominent factors in determining the amount of bias in these outcome measures, with increasing intraclass correlations combined with small between-cluster sizes resulting in increased bias. Bias is particularly noticeable in the BIC. In addition, there is evidence that class separation interacts with the size of the intraclass correlations and cluster sizes in producing bias in these measures.     

Biases in pigeon working memory

The psychophysics and short-term retention of pigeons’ responses to rate of stimulus change were assessed in two experiments, using a symbolic delayed matching-to-sample procedure. In Experiment 1, the birds discriminated between steady and flickering lights. Psychophysical assessments of the discrimination suggested a mix of analogical and categorical strategies. Retention tests revealed a consistent bias to respond to the choice associated with theflickering sample. In Experiment 2, the birds discriminated between different rates of stimulus change (slow vs.fast). Retention tests indicated a bias to respond to the alternative associated with theslow sample. Transfer tests to new stimulus values revealed that the birds processed the stimuli in an absolute, rather than a relational fashion. These findings are related to recent work on biased forgetting in animal working memory experiments.     

Essentialization of Social Categories Across Development in Two Cultures

Children display an “essentialist” bias in their everyday thinking about social categories. However, the degree and form of this bias varies with age and with the nature of the categories, as well as across cultures. This project investigated the development of the essentialist bias across five social categories (i.e., gender, nationality, religious affiliation, socioeconomic status (rich/poor), and sports-team supporter) in two countries. Children between 5 and 10 years of age in Turkey (Study 1, N = 74) and the United States (Study 2, N = 73), as well as adults in both countries (Study 3, N = 223), participated. Results indicate surprising cross-cultural parallels with respect to both the rank ordering of essentialist thinking across these five categories and increasing differentiation among them over development.     

Comparative Validity of the Hotz Scales and the Rugg-Clark Tests in Algebra

ABSTRACT

A survey of adolescents (N = 1,646) documented third-person perception regarding media depictions of dating/relationship violence. It also contributes to the growing literature documenting optimistic bias as a strong predictor of third-person perception and draws from the optimistic bias literature considering new variables including self-esteem, self-efficacy, and experience with violence.     

Reducing Children's Implicit Racial Bias Through Exposure to Positive Out‐Group Exemplars

Studies with adults suggest that implicit preferences favoring White versus Black individuals can be reduced through exposure to positive Black exemplars. However, it remains unclear whether developmental differences exist in the capacity for these biases to be changed. This study included 369 children and examined whether their implicit racial bias would be reduced following exposure to positive Black exemplars. Results showed that children's implicit pro‐White bias was reduced following exposure to positive Black exemplars, but only for older children (M_age = ~10 years). Younger children's (M_age = ~7 years) implicit bias was not affected by this intervention. These results suggest developmental differences in the malleability of implicit racial biases and point to possible age differences in intervention effectiveness.     

Modeling Dynamic Functional Neuroimaging Data Using Structural Equation Modeling

The aims of this study were to present a method for developing a path analytic network model using data acquired from positron emission tomography. Regions of interest within the human brain were identified through quantitative activation likelihood estimation meta-analysis. Using this information, a “true” or population path model was then developed using Bayesian structural equation modeling. To evaluate the impact of sample size on parameter estimation bias, proportion of parameter replication coverage, and statistical power, a 2 group (clinical/control) × 6 (sample size: N = 10, N = 15, N = 20, N = 25, N = 50, N = 100) Markov chain Monte Carlo study was conducted. Results indicate that using a sample size of less than N = 15 per group will produce parameter estimates exhibiting bias greater than 5% and statistical power below .80.     

Interactive Contributions of Attribution Biases and Emotional Intensity to Child–Friend Interaction Quality During Preadolescence

Using data from a subsample of 913 study children and their friends who participated in the NICHD Study of Early Child Care and Youth Development, the interactive contributions of child-reported attribution biases and teacher-reported child emotional intensity (EI) at Grade 4 (M = 9.9 years) to observed child–friend interaction at Grade 6 (M = 11.9 years) were examined. Study children's hostile attribution bias, combined with high EI, predicted more negative child–friend interaction. In contrast, benign attribution bias, combined with high EI, predicted more positive child–friend interaction. The findings are discussed in light of the “fuel” interpretation of EI, in which high-intensity emotions may motivate children to act on their cognitive biases for better or for worse.     

Smart Conformists: Children and Adolescents Associate Conformity With Intelligence Across Cultures

The current study used a novel methodology based on multivocal ethnography to assess the relations between conformity and evaluations of intelligence and good behavior among Western (U.S.) and non-Western (Ni-Vanuatu) children (6- to 11-year-olds) and adolescents (13- to 17-year-olds; N = 256). Previous research has shown that U.S. adults were less likely to endorse high-conformity children as intelligent than Ni-Vanuatu adults. The current data demonstrate that in contrast to prior studies documenting cultural differences between adults' evaluations of conformity, children and adolescents in the United States and Vanuatu have a conformity bias when evaluating peers' intelligence and behavior. Conformity bias for good behavior increases with age. The results have implications for understanding the interplay of conformity bias and trait psychology across cultures and development.     

Attention to Faces Expressing Negative Emotion at 7 Months Predicts Attachment Security at 14 Months

To investigate potential infant‐related antecedents characterizing later attachment security, this study tested whether attention to facial expressions, assessed with an eye‐tracking paradigm at 7 months of age (N = 73), predicted infant–mother attachment in the Strange Situation Procedure at 14 months. Attention to fearful faces at 7 months predicted attachment security, with a smaller attentional bias to fearful expressions associated with insecure attachment. Attachment disorganization in particular was linked to an absence of the age‐typical attentional bias to fear. These data provide the first evidence linking infants' attentional bias to negative facial expressions with attachment formation and suggest reduced sensitivity to facial expressions of negative emotion as a testable trait that could link attachment disorganization with later behavioral outcomes.