Cumulative psychosocial and medical risk as predictors of early infant development and parenting stress in an African-American preterm sample

The present study examined predictive linkages between cumulative psychosocial and medical risk, assessed neonatally, and infant development and parenting stress at 4 months of infant corrected age. Predominantly low-income, African-American mothers and their preterm infants served as participants. Cumulative psychosocial risk predicted early mental, but not motor development, while cumulative medical risk predicted both mental and motor development. Cumulative psychosocial risk, but not medical risk, predicted parenting stress. Few studies of preterm infants have reported links between cumulative psychosocial risk and infant development at such an early age, nor has earlier work found associations between cumulative psychosocial risk and mothers' perceptions of parenting. Results support the premise that early intervention should target both the medical and psychosocial needs of low-income families with preterm infants, and that addressing psychosocial stressors shortly after birth may improve developmental outcomes in infancy.     

Analyzing temporal patterns of infant sleep and negative affective behavior: a comparison between different statistical models

Objective

Variability in infant sleep and negative affective behavior (NAB) is a developmental phenomenon that has long been of interest to researchers and clinicians. However, analyses and delineation of such temporal patterns were often limited to basic statistical approaches, which may prevent adequate identification of meaningful variation within these patterns. Modern statistical procedures such as additive models may detect specific patterns of temporal variation in infant behavior more effectively.

Method

Hundred and twenty-one mothers were asked to record different behaviors of their 4–44 weeks old healthy infants by diaries for three days consecutively. Circadian patterns as well as individual trajectories and day-to-day variability of infant sleep and NAB were modeled with generalized linear models (GLMs) including a linear and quadratic polynomial for time, a GLM with a polynomial of the 8th order, a GLM with a harmonic function, a generalized linear mixed model (GLMM) with a polynomial of the 8th order, a generalized additive model, and a generalized additive mixed model (GAMM).

Results

The semi-parametric model GAMM was found to fit the data of infant sleep better than any other parametric model used. GLMM with a polynomial of the 8th order and GAMM modeled temporal patterns of infant NAB equally well, although the GLMM exhibited a slightly better model fit while GAMM was easier to interpret. Besides the well-known evening clustering in infant NAB we found a significant second peak in NAB around midday that was not affected by the constant decline in the amounts of NAB across the 3-day study period.

Conclusion

Using advanced statistical procedures (GAMM and GLMM) even small variations and phenomena in infant behavior can be reliably detected. Future studies investigating variability and temporal patterns in infant variables may benefit from these statistical approaches.     

Establishing normative data for repeated cognitive assessment: A comparison of different statistical methods

Serial cognitive assessment is conducted to monitor changes in the cognitive abilities of patients over time. At present, mainly the regression-based change and the ANCOVA approaches are used to establish normative data for serial cognitive assessment. These methods are straightforward, but they have some severe drawbacks. For example, they can only consider the data of two measurement occasions. In this article, we propose three alternative normative methods that are not hampered by these problems—that is, multivariate regression, the standard linear mixed model (LMM), and the linear mixed model combined with multiple imputation (LMM with MI) approaches. The multivariate regression method is primarily useful when a small number of repeated measurements are taken at fixed time points. When the data are more unbalanced, the standard LMM and the LMM with MI methods are more appropriate because they allow for a more adequate modeling of the covariance structure. The standard LMM has the advantage that it is easier to conduct and that it does not require a Monte Carlo component. The LMM with MI, on the other hand, has the advantage that it can flexibly deal with missing responses and missing covariate values at the same time. The different normative methods are illustrated on the basis of the data of a large longitudinal study in which a cognitive test (the Stroop Color Word Test) was administered at four measurement occasions (i.e., at baseline and 3, 6, and 12 years later). The results are discussed and suggestions for future research are provided.     

Cultural differences in the development of cognitive shifting: East-West comparison

Prior research has documented that Japanese children's performance on the Dimensional Change Card Sorting (DCCS) task can be influenced by their observation of another person completing the task, which is referred to as social transmission of disinhibition. The current study explored whether Canadian children would also show a social transmission of disinhibition and whether their performance would be comparable to that of Japanese children. In this study, 3- and 4-year-olds in Canada and Japan were given both the standard version and social version of the DCCS. Results indicated that Canadian children displayed the social transmission of disinhibition, but their effects were significantly weaker than those with Japanese children. On the other hand, performance on the standard DCCS was comparable between children in the two countries. We discuss the results in terms of cultural differences in the relationship between self and other.     

Adoption and cognitive development: a meta-analytic comparison of adopted and nonadopted children's IQ and school performance

This meta-analysis of 62 studies (N=17,767 adopted children) examined whether the cognitive development of adopted children differed from that of (a) children who remained in institutional care or in the birth family and (b) their current (environmental) nonadopted siblings or peers. Adopted children scored higher on IQ tests than their nonadopted siblings or peers who stayed behind, and their school performance was better. Adopted children did not differ from their nonadopted environmental peers or siblings in IQ, but their school performance and language abilities lagged behind, and more adopted children developed learning problems. Taken together, the meta-analyses document the positive impact of adoption on the children's cognitive development and their remarkably normal cognitive competence but delayed school performance.     

Three-state models of memory development: A review of advances in statistical methodology

A certain family of three-state Markov processes has been widely used in experiments on children's memory. Although the statistical machinery for these models is well developed in most respects, two shortcomings have been noted in recent literature reviews. First, the parameters of the models are not identifiable. Second, goodness-of-fit tests are laborious to execute and their sampling distributions are unknown. New procedures for dealing with these difficulties are reported.     

A tutorial introduction to Bayesian models of cognitive development

We present an introduction to Bayesian inference as it is used in probabilistic models of cognitive development. Our goal is to provide an intuitive and accessible guide to the what, the how, and the why of the Bayesian approach: what sorts of problems and data the framework is most relevant for, and how and why it may be useful for developmentalists. We emphasize a qualitative understanding of Bayesian inference, but also include information about additional resources for those interested in the cognitive science applications, mathematical foundations, or machine learning details in more depth. In addition, we discuss some important interpretation issues that often arise when evaluating Bayesian models in cognitive science.     

Clinical significance methods: a comparison of statistical techniques

Clinically significant change refers to meaningful change in individual patient functioning during psychotherapy. Following the operational definition of clinically significant change offered by Jacobson, Follette, and Revenstorf (1984), several alternatives have been proposed because they were thought to be either more accurate or more sensitive to detecting meaningful change. In this study, we compared five methods using a sample of 386 outpatients who underwent treatment in routine clinical practice. Differences were found between methods, suggesting that the statistical method used to calculate clinical significance has an effect on estimates of meaningful change. The Jacobson method (Jacobson & Truax, 1991) provided a moderate estimate of treatment effects and was recommended for use in outcome studies and research on clinically significant change, but future research is needed to validate this statistical method.     

Neurophysiologic evaluation of early cognitive development in high-risk infants and toddlers

New knowledge of the perceptual, discriminative, and memory capabilities of very young infants has opened the door to further evaluation of these abilities in infants who have risk factors for cognitive impairments. A neurophysiologic technique that has been very useful in this regard is the recording of event-related potentials (ERPs). The event-related potential (ERP) technique is widely used by cognitive neuroscientists to study cognitive abilities such as discrimination, attention, and memory. This method has many attractive attributes for use in infants and children as it is relatively inexpensive, does not require sedation, has excellent temporal resolution, and can be used to evaluate early cognitive development in preverbal infants with limited behavioral repertories. In healthy infants and children, ERPs have been used to gain a further understanding of early cognitive development and the effect of experience on brain function. Recently, ERPs have been used to elucidate atypical memory development in infants of diabetic mothers, difficulties with perception and discrimination of speech sounds in infants at risk for dyslexia, and multiple areas of cognitive differences in extremely premature infants. Atypical findings seen in high-risk infants have correlated with later cognitive outcomes, but the sensitivity and specificity of the technique has not been studied, and thus evaluation of individual infants is not possible at this time. With further research, this technique may be very useful in identifying children with cognitive deficits during infancy. Because even young infants can be examined with ERPs, this technique is likely to be helpful in the development of focused early intervention programs used to improve cognitive function in high-risk infants and toddlers.     

Hemispheric cognitive style: a comparison of three instruments

In this study, the author tested the reliability, concurrent validity, and predictive validity of three hemispheric cognitive style instruments: (a) the Preference Test (PT; R. Zenhausern, 1978), (b) the Polarity Questionnaire (PQ; B. E. Morton, 2002), and (c) the Wagner Preference Inventory II (WAPI II; R. F. Wagner & K. A. Wells, 1985). Participants were either teachers or teachers in training. The prediction criterion was in the area of teaching licensure. Scores on the PQ had extremely low reliability, and correlations with the PT and the WAPI II were not significantly different from zero. In addition, the PQ did not correlate with the licensure area. The author found that both the PT and the WAPI II had reasonable levels of reliability, and both instruments were able to explain a small percentage of the variance in the teaching licensure area. Using factor analysis of the PT, the author found a 7-factor structure, which suggests that hemispheric cognitive style might be decomposable into separate holist analytic and visual-verbal dimensions.     

Differences in Paradox between Islam and Christianity: a statistical comparison

Historically Islam has been recognized as a religion that is logical. Christianity has long been recognized as having a number of beliefs or doctrines that could be described as paradoxical. Sixty-nine religious doctrines or beliefs were evaluated for paradoxical content and in terms of whether Islam and Christianity agreed or disagreed with respect to each doctrine or belief. It was hypothesized that disagreement between the two religions would be much more common with respect to paradoxical doctrines or beliefs. Nearly 90% of doctrinal agreement or disagreement could be traced to the paradoxical or non-paradoxical content of the beliefs evaluated. The relationship between agreement and paradox was very significant statistically. Implications for future Christian–Muslim dialogue are discussed.     

Differential impact of preschool models on development and early learning of inner-city children: a three-cohort study

Three different preschool models operating in an urban school district were identified through cluster analysis of teacher responses to the Pre-K Survey of Beliefs and Practices. The language, self-help, social, motor, and adaptive development, along with mastery of basic skills, of 721 4-year-olds randomly selected from these models were compared. Children in the child-initiated model demonstrated greater mastery of basic skills than did children in programs in which academics were emphasized and skills were taught. Children in the combination model did significantly poorer on all measures except self-help and development of social coping skills compared with children in either the child-initiated or academically directed models. Girls outperformed boys in all areas except gross motor development and play and leisure skills. Implications for educational policymakers are discussed.     

Perceptual, cognitive and linguistic development after early hemispherectomy: two case studies.

Longitudinal data on perceptual-motor, cognitive, and linguistic functioning is reported for two children: one with right hemispherectomy and one with left hemispherectomy. Both levels of functioning and specific profiles of abilities within an area of function are evaluated. The subjects both show effects from damage to the brain: shortened memory span, general perceptual and motor disabilities, and somewhat depressed general intellectual functioning. Areas of comparative strength and weakness in functioning in the two subjects are suggestive of adult patterns of hemispheric specialization, despite the young age of the subjects at the time of brain damage.     

At the intersection of social and cognitive development: internal working models of attachment in infancy

Three visual habituation studies using abstract animations tested the claim that infants' attachment behavior in the Strange Situation procedure corresponds to their expectations about caregiver-infant interactions. Three unique patterns of expectations were revealed. Securely attached infants expected infants to seek comfort from caregivers and expected caregivers to provide comfort. Insecure-resistant infants not only expected infants to seek comfort from caregivers but also expected caregivers to withhold comfort. Insecure-avoidant infants expected infants to avoid seeking comfort from caregivers and expected caregivers to withhold comfort. These data support Bowlby's (1958) original claims-that infants form internal working models of attachment that are expressed in infants' own behavior.     

A comparison of statistical selection strategies for univariate and bivariate log‐linear models

In this study, eight statistical selection strategies were evaluated for selecting the parameterizations of log‐linear models used to model the distributions of psychometric tests. The selection strategies included significance tests based on four chi‐squared statistics (likelihood ratio, Pearson, Freeman–Tukey, and Cressie–Read) and four additional strategies (Akaike information criterion (AIC), Bayesian information criterion (BIC), consistent Akaike information criterion (CAIC), and a measure attributed to Goodman). The strategies were evaluated in simulations for different log‐linear models of univariate and bivariate test‐score distributions and two sample sizes. Results showed that all eight selection strategies were most accurate for the largest sample size considered. For univariate distributions, the AIC selection strategy was especially accurate for selecting the correct parameterization of a complex log‐linear model and the likelihood ratio chi‐squared selection strategy was the most accurate strategy for selecting the correct parameterization of a relatively simple log‐linear model. For bivariate distributions, the likelihood ratio chi‐squared, Freeman–Tukey chi‐squared, BIC, and CAIC selection strategies had similarly high selection accuracies.