Personal Growth of Mothers of Preterms: Objective Severity of the Event,Subjective Stress,Personal Resources,and Maternal Emotional Support

This prospective study investigated the personal growth of Israeli mothers of premature babies at two medically defined risk levels (infants at low risk, n = 42; infants at moderate-high risk, n = 52), examining the contribution to the five dimensions of personal growth of objective event characteristics (baby’s risk level), perceived levels of mother’s stress (linear and curvilinear associations), and mother’s personal resources (self-esteem, attachment styles, perceived emotional support from her own mother). In addition, the role of the event severity as a moderator of the association between perceived maternal emotional support and personal growth was explored. Findings indicate that mothers in the two risk groups did not differ in level of perceived stress. Mothers of infants at moderate-high risk, however, experienced more spiritual change. In addition, consistent curvilinear associations emerged between perceived levels of stress and personal growth for three dimensions of growth: new possibilities, personal strength, and relations with others (with a similar trend for appreciation of life). Thus, mothers reporting moderate stress levels experienced the highest personal growth. Finally, risk group played a moderating role in the association between perceived maternal emotional support and personal growth on the dimensions of new possibilities, personal strength, and relations with others. On these dimensions, only among mothers of low-risk babies were higher levels of maternal emotional support associated with greater personal growth. The results highlight the importance of the subjective experience and the value of maternal emotional support for the personal growth of mothers of preterms. These findings may help in designing measures to identify populations at risk and developing appropriate interventions, as well as impact on the working procedures and support currently offered in most neonatal intensive care units.     

Loss Aversion,Intellectual Inertia,and a Call for a More Contrarian Science: A Reply to Simonson & Kivetz and Higgins & Liberman

Higgins and Liberman (2018) and Simonson and Kivetz (2018) offer scholarly and stimulating perspectives on loss aversion and the implications for the sociology of science of its acceptance as a virtual law of nature. In our view, Higgins and Liberman (2018) largely complement our conclusion that the empirical evidence does not support loss aversion. Moreover, in alignment with our call for a contextualized perspective, they provide an excellent discourse on how a more nuanced view of reference points and consumers’ regulatory focus enriches our understanding of the psychological impact of losses and gains. Simonson and Kivetz (2018) approached our perspective with skepticism, and, while they retain some skepticism, they express agreement on the larger point that loss aversion has been accepted too uncritically. Both commentaries point to a need for a critical reevaluation of prevailing paradigms. Here, we build on these perspectives, as well as our experience working on the topic of loss aversion, to call for structural changes to facilitate scholarly debate on science's status quo.     

Modeling Common Traits and Method Effects in Multitrait-Multimethod Analysis

Method effects often occur when constructs are measured by different methods. In traditional multitrait-multimethod (MTMM) models method effects are regarded as residuals, which implies a mean method effect of zero and no correlation between trait and method effects. Furthermore, in some recent MTMM models, traits are modeled to be specific to a certain method. However, often we are not interested in a method-specific trait but in a trait that is common to all methods. Here we present the Method Effect model with common trait factors, which allows modeling “common” trait factors and method factors that represent method “effects” rather than residuals. The common trait factors are defined as the mean of the true-score variables of all variables measuring the same trait and the method factors are defined as differences between true-score variables and means of true-score variables. Because the model allows estimating mean method effects, correlations between method factors, and correlations between trait and method factors, new research questions may be investigated. The application of the model is demonstrated by 2 examples studying the effect of negative, as compared with positive, item wording for the measurement of mood states.     

How Bias Reduction Is Affected by Covariate Choice,Unreliability, and Mode of Data Analysis: Results From Two Types of Within-Study Comparisons

This study uses within-study comparisons to assess the relative importance of covariate choice, unreliability in the measurement of these covariates, and whether regression or various forms of propensity score analysis are used to analyze the outcome data. Two of the within-study comparisons are of the four-arm type, and many more are of the three-arm type. To examine unreliability, simulations of differences in reliability are deliberately introduced into the 2 four-arm studies. Results are similar across the samples of studies reviewed with their wide range of non-experimental designs and topic areas. Covariate choice counts most, unreliability next most, and the mode of data analysis hardly matters at all. Unreliability has larger effects the more important a covariate is for bias reduction, but even so the very best covariates measured with a reliability of only .60 still do better than substantively poor covariates that are measured perfectly. Why regression methods do as well as propensity score methods used in several different ways is a mystery still because, in theory, propensity scores would seem to have a distinct advantage in many practical applications, especially those where functional forms are in doubt.     

A reversal of the search asymmetry favouring negative schematic faces

Quite a number of studies have tested whether the affective valence of stimuli can guide attention in visual search. Studies using schematic affective faces frequently found a relative search asymmetry (RSA), with more efficient search for a negative face in a friendly crowd than vice versa. Whether, however, this effect relates to differences in affect or to the confounded differences in perceptual features is unknown. The present study proposes and tests a similarity-based account for the RSA. Experiments 1a and 1b first replicate the typical RSA. Experiment 2 shows that the stimulus could be simplified to some degree without losing the RSA. Experiments 3 and 4, finally, demonstrate that the RSA could be reversed by a rather simple stimulus change, that leaves the facial expression intact. It is concluded that the strong dependence of the RSA on stimulus factors seriously questions the claim that emotional factors drive the RSA.     

Using Response Times to Model Not-Reached Items due to Time Limits

Missing values at the end of a test typically are the result of test takers running out of time and can as such be understood by studying test takers’ working speed. As testing moves to computer-based assessment, response times become available allowing to simulatenously model speed and ability. Integrating research on response time modeling with research on modeling missing responses, we propose using response times to model missing values due to time limits. We identify similarities between approaches used to account for not-reached items (Rose et al. in ETS Res Rep Ser 2010:i–53, 2010) and the speed-accuracy (SA) model for joint modeling of effective speed and effective ability as proposed by van der Linden (Psychometrika 72(3):287–308, 2007). In a simulation, we show (a) that the SA model can recover parameters in the presence of missing values due to time limits and (b) that the response time model, using item-level timing information rather than a count of not-reached items, results in person parameter estimates that differ from missing data IRT models applied to not-reached items. We propose using the SA model to model the missing data process and to use both, ability and speed, to describe the performance of test takers. We illustrate the application of the model in an empirical analysis.

     

Parenting Behaviors of Mothers and Fathers of Preschool Age Children with Internalizing Disorders

This study investigated parenting behaviors of mothers and fathers of clinically anxious preschool children (with or without depressive comorbidity) and healthy comparison children. Studies assessing children from early school age onwards have found that parental control, rejection, and inconsistent discipline are associated with the presence of children’s internalizing symptoms/disorders. Despite the scarcity of studies investigating these associations at preschool age, we assumed that findings with older children would also apply to children in this age group. In a cross-sectional study we assessed N = 176 children of preschool age (M = 5; 2 years) and both of their parents. A diagnostic interview (Preschool Age Psychiatric Assessment) was conducted to determine children’s psychiatric diagnoses, yielding the following results: a group of n = 67 children with pure anxiety disorders (AD group), a group of n = 38 children with anxiety disorders with depressive comorbidity (AD/DC group), and a comparison group of n = 71 children without psychiatric disorders. Both parents completed the German extended version of the Alabama Parenting Questionnaire. We evaluated maternal depressive symptoms and children’s temperament as further correlates. All variables that differed significantly between groups were entered into multinomial logistic regression analyses to test which variables predict group membership. When comparing each of the two anxiety groups with the comparison group we obtained the following results: (1) Inconsistent paternal discipline and maternal depressive symptoms increased and children’s positive affectivity decreased the probability of children of being in the AD group rather than in the comparison group. (2) Maternal overinvolvement, maternal depressive symptoms and children’s negative affectivity increased and children’s positive affectivity decreased the probability of children of belonging to the AD/DC group rather than to the comparison group. When comparing the two anxiety groups with each other, we found that inconsistent paternal discipline increased and children’s negative affectivity decreased the probability of children of being in the AD group rather than in the AD/DC group. The results suggest that paternal parenting behaviors show different associations with internalizing disorders at preschool age than maternal parenting behaviors. This underlines the importance of including fathers in the prevention and treatment of internalizing disorders at preschool age.     

A MODEL OF CONCEPTUAL ANALYSIS

Abstract: In this article I identify the conceptual tools needed to establish claims for the existence of conceptual ties, along with the principles governing the use of those tools, and present a model of conceptual analysis. I identify and justify those principles in the light of the conditions for the meaningfulness of expressions in language, which I extract from an analysis of the concept of meaning. The conclusions of this analysis are organized into a schematic model of the workings of a language. According to this model, the meaning of every word in any language is determined by its role in the systematic mapping of all possible states of affairs included in its conceptual scheme.