Processes in acceptance and commitment therapy and the rehabilitation of chronic fatigue

Acceptance and commitment therapy (ACT) has never been tested for patients with chronic fatigue. We aimed to test if a 3.5‐week ACT rehabilitation program for patients with chronic fatigue improved quality of life (QoL), fatigue, and psychological flexibility. Further, to test if improvements in QoL and fatigue were associated with improvement in psychological flexibility, and if psychological flexibility explained variance above and beyond maladaptive cognitions typically targeted in CBT for fatigue. Patients (n = 140) who had been on sick leave > 8 weeks due to chronic fatigue received a 3.5‐week non‐controlled inpatient rehabilitation program based on ACT. A physician and a psychologist examined the patients, assessing medication use and SCID‐I diagnoses. Patients completed questionnaires about somatic complaints, psychological complaints, and maladaptive cognitions before and after treatment. At post‐treatment, patients reported improved QoL (p < 0.001; g = 1.07) and less fatigue (p < 0.001; g = 1.08), but not increased psychological flexibility (p = 0.6). Changes in psychological flexibility was associated with improved QoL, but not fatigue, in hierarchical regression analyses. When adjusting for other cognitions, changes in fear‐avoidance cognitions and all‐or‐nothing thoughts, but not psychological flexibility, were associated with improved QoL and fatigue. The ACT‐based treatment improved QoL and reduced fatigue for patients with chronic fatigue with large effect sizes. Improvement was associated with a reduction in fear‐avoidance cognitions and all‐or‐nothing thoughts, but not psychological flexibility.     

Early predictors of career development: A 10-year follow-up study

This paper presents empirical findings from a 10-year longitudinal study of the educational and occupational socialization of 445 participants who were about 7 years old when first tested, and about 17 years old at the fourth time of measurement. In addition to collecting psychological measurements from the participants, behavioral reports were collected from significant others, specifically parents and teachers. Findings demonstrated that the life/career evolution of the participants can be understood only when taking into account the dynamic interaction between the unique personal characteristics of individuality of each person and the psychosocial theatre within which the person’s development takes place. Using the life-span, life-space framework of Super, and the Developmental-Contextual model from Vondracek, different emerging early predictors with unique impact on the process of educational and occupational socialization were identified, especially with respect to the probability of dropping out of school. Results in terms of gender, parental influences, psychological characteristics, and social context are discussed with regard to their potential implications for psychological interventions in schools, families, and occupational settings, as well as with regard to personal counseling in what concerns the management of life circumstances and behavioral ecosystems.     

Stable Causal Relationships Are Better Causal Relationships

We report three experiments investigating whether people's judgments about causal relationships are sensitive to the robustness or stability of such relationships across a range of background circumstances. In Experiment 1, we demonstrate that people are more willing to endorse causal and explanatory claims based on stable (as opposed to unstable) relationships, even when the overall causal strength of the relationship is held constant. In Experiment 2, we show that this effect is not driven by a causal generalization's actual scope of application. In Experiment 3, we offer evidence that stable causal relationships may be seen as better guides to action. Collectively, these experiments document a previously underappreciated factor that shapes people's causal reasoning: the stability of the causal relationship.     

Habit as moderator of the intention–physical activity relationship in older adults: a longitudinal study

This longitudinal study examined whether habit strength moderates the intention–physical activity (PA) relationship in older adults, within the framework of the attitude–social influences–efficacy (ASE) model and the theory of planned behaviour (TPB). A total of 1836 older adults (M _age?=?62.95?years, SD _age?=?8.17) completed a questionnaire on social cognitive constructs and PA habit strength at baseline, and six?months later a measure of PA. Three PA habit groups (i.e. low, medium and high) were composed, based on tertiles of the mean index score. Multi-group structural equation modelling analyses showed that intention significantly determined PA behaviour only in participants with a low or medium habit strength towards PA. This result suggests that PA is not intentional at high levels of habit strength and demonstrates the usefulness of incorporating habit in the ASE and TPB models. Results also showed that about half of the participants with a strong PA habit did not meet the recommended PA level. As strong habits may prevent intentional behavioural change and may hinder the receptiveness and openness for informational PA change strategies, additional intervention strategies, such as awareness raising and the use of implementation intentions, are needed for strongly habitual, but insufficiently active older adults.     

Early formal schooling: Are we promoting achievement or anxiety?

The resurgence of interest in early childhood education has been accompanied by an active debate about the most developmentally beneficial approach to preschool instruction. Some experts and the major early childhood organizations in this country advocate a child-centered or developmentally appropriate approach, whereas other experts advocate a teacher-directed, didactic approach. Until recently, the empirical evidence available to inform this controversy has been woefully thin. This article reviews the social and theoretical parameters of this debate about preschool instruction, articulates the core dimensions that have been portrayed as distinguishing child- from teacher-directed curricula, and examines the available research that can inform the debate. Our conclusions support those who encourage the adoption of child-centered curricula. Didactic approaches appear to undermine young children's motivation in and enjoyment of school in the short term and to have either neutral or negative ramifications for long-term achievement, despite some evidence of short-term gains.     

Impact of Exposure to Community Violence on Anxiety: A Longitudinal Study of Family Social Support as a Protective Factor for Urban Children

In a longitudinal study, we examined the relationship between exposure to community violence and anxiety, and the extent to which family social support moderated this relationship within a predominantly African American sample of 385 children in an urban public school system. Children reported notably lower anxiety levels compared to normative data for African American children. A high percentage reported witnessing a variety of violent acts. Cross-sectional results indicated that among girls exposure to violence was significantly correlated with total, physiological, and concentration anxiety. Among boys violence exposure was not associated with anxiety. Hierarchical regression analyses indicated that after controlling for gender, exposure to violence at Time 1 did not significantly predict changes in anxiety. A significant interaction was found for gender and exposure to violence on concentration anxiety; girls who reported higher initial violence exposure reported greater increases in subsequent concentration anxiety than boys. Whereas findings from our study did not support a moderating relationship of family social support on children's exposure to violence and anxiety, a strong negative relationship was found between anxiety and family support. Among children with initially low worry anxiety, those with low family social support showed greater increases in subsequent worry anxiety.     

High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature

Although the Bock–Aitkin likelihood-based estimation method for factor analysis of dichotomous item response data has important advantages over classical analysis of item tetrachoric correlations, a serious limitation of the method is its reliance on fixed-point Gauss-Hermite (G-H) quadrature in the solution of the likelihood equations and likelihood-ratio tests. When the number of latent dimensions is large, computational considerations require that the number of quadrature points per dimension be few. But with large numbers of items, the dispersion of the likelihood, given the response pattern, becomes so small that the likelihood cannot be accurately evaluated with the sparse fixed points in the latent space. In this paper, we demonstrate that substantial improvement in accuracy can be obtained by adapting the quadrature points to the location and dispersion of the likelihood surfaces corresponding to each distinct pattern in the data. In particular, we show that adaptive G-H quadrature, combined with mean and covariance adjustments at each iteration of an EM algorithm, produces an accurate fast-converging solution with as few as two points per dimension. Evaluations of this method with simulated data are shown to yield accurate recovery of the generating factor loadings for models of upto eight dimensions. Unlike an earlier application of adaptive Gibbs sampling to this problem by Meng and Schilling, the simulations also confirm the validity of the present method in calculating likelihood-ratio chi-square statistics for determining the number of factors required in the model. Finally, we apply the method to a sample of real data from a test of teacher qualifications.     

Simultaneous classification and multidimensional scaling with external information

For the exploratory analysis of a matrix of proximities or (dis)similarities between objects, one often uses cluster analysis (CA) or multidimensional scaling (MDS). Solutions resulting from such analyses are sometimes interpreted using external information on the objects. Usually the procedures of CA, MDS and using external information are carried out independently and sequentially, although combinations of two of the three procedures (CA and MDS, or multidimensional scaling and using external information) have been proposed in the literature. The present paper offers a procedure that combines all three procedures in one analysis, using a model that describes a partition of objects with cluster centroids represented in a low-dimensional space, which in turn is related to the information in the external variables. A simulation study is carried out to demonstrate that the method works satisfactorily for data with a known underlying structure. Also, to illustrate the method, it is applied to two empirical data sets.     

On local influence analysis of full information item factor models

The full information item factor (FIIF) model is very useful for analyzing relations of dichotomous variables. In this article, we present a feasible procedure to assess local influence of minor perturbations for identifying influence aspects of the FIIF model. The development is based on a Q-displacement function which is closely related with the Monte Carlo EM algorithm in the ML estimation. In the E-step of this algorithm, the conditional expectations are approximated by sample means of observations simulated by the Gibbs sampler from the appropriate conditional distributions. It turns out that these observations can be utilized for computing the building blocks of the proposed diagnostic measures. The diagnoses are based on the conformal normal curvature that can be computed easily. A number of interesting perturbation schemes are considered. The methodology is illustrated with two real examples.The research is fully supported by a grant (CUHK 4356/00H) from the Research Grant Council of the Hong Kong Special Administration Region. The authors are thankful to the Editor, Associate Editor, anonymous reviewers, and W.Y. Poon for valuable comments for improving the paper, and to ICPSR and the relevant founding agency for allowing us to use of their data. The assistance of Michael Leung and Esther Tam is gratefully acknowledged.     

Prevalence of Attention-Deficit/Hyperactivity Disorder Symptoms in 4- to 17-Year-Old Children in the General Population

The purposes of this study were (a) to estimate the prevalence of Attention-Deficit/Hyperactivity Disorder (AD/HD) symptoms in the general preschool and school population; and (b) to analyze the influence of gender, age, and socioeconomic status (SES) variables on AD/HD symptoms. Out of the 80,000 preschool and schoolchildren living in Manizales, Colombia, a random sample of 540 children was selected. Two gender, three age (4- to 5-year olds, 6- to 11 -year olds, and 12- to 17-year olds), and three SES (low, middle, and high) groups were used. The 18 DSM-IV symptoms corresponding to AD/HD Criterion A were assessed on a scale of 0 (never) to 3 (almost always). All three demographic variables established statistically significant differences: AD/HD symptoms were more frequent in 6-to 11-year-old, low-SES, male participants. DSM-IV Criterion A for AD/HD was fulfilled by 19.8% of the boys and 12.3% of the girls. However, this difference was marginally significant only in the AD/HD Subtype I: Combined. It was concluded that demographic variables are significant correlates of the AD/HD diagnosis. The prevalence found in this study was higher than usually reported, even though only the symptomatic DSM-IV AD/HD criterion was analyzed. We failed to confirm the assumed AD/HD gender ratio.