Random effects diagonal metric multidimensional scaling models

By assuming a distribution for the subject weights in a diagonal metric (INDSCAL) multidimensional scaling model, the subject weights become random effects. Including random effects in multidimensional scaling models offers several advantages over traditional diagonal metric models such as those fitted by the INDSCAL, ALSCAL, and other multidimensional scaling programs. Unlike traditional models, the number of parameters does not increase with the number of subjects, and, because the distribution of the subject weights is modeled, the construction of linear models of the subject weights and the testing of those models is immediate. Here we define a random effects diagonal metric multidimensional scaling model, give computational algorithms, describe our experiences with these algorithms, and provide an example illustrating the use of the model and algorithms.We would like to thank J. Douglas Carroll for early consultation of this research, and Robert I. Jennrich for commenting on an earlier draft of this paper and for help on the computational algorithms. James O. Ramsay and Forrest W. Young were instrumental in providing the example data. This work was supported in part by National Institute of Mental Health grant 1 R43 MH57559-01. We would also like to thank the anonymous referees for comments that helped to clarify our work.     

In pursuit of a historical tradition: N. A. Rozhkov’s scientific laws of history

Despite all that has been written about Russian historiography and how it profoundly changed after the Bolsheviks seized power in 1917, very little is known about the historical tradition immediately before the Soviet era. This article attempts to begin to address this issue by examining the major forces that shaped the historical and sociological thought of Nikolai Alesandrovich Rozhkov (1868–1927). It argues that as Kliuchevskii’s successor and as the first professional historian to eventually present a Marxist analysis of Russian history, Rozhkov was not only the most important historian at that time but one whose work best represented the most significant transition in Russia’s historical tradition. The article concludes that an examination of Rozhkov’s historical methodology offers a new interpretation of the origins of Soviet historiography.

Coparenting Experiences in African American Families: An Examination of Single Mothers and their Nonmarital Coparents

African American youth from single‐mother homes continue to be overrepresented in statistics on risk behavior and delinquency, a trend that many be attributed to father‐absence, socioeconomic disadvantage, and compromises in parenting more typical of single than two‐parent families. Yet, this risk‐focused perspective ignores a long‐standing strength of the African American community, the involvement and potential protective impact of extended family members in childrearing. This study describes the experiences of 95 African American single mothers and their nonmarital coparents who participated in a study of African American single‐mother families with an 11–16‐year‐old child. Specifically, the study examines: (a) the extent to which nonmarital coparents are involved in childrearing; (b) the relative levels of risk (i.e., depression, mother–coparent conflict) and protective (i.e., parenting) associated with maternal and coparent involvement; and (c) how similarly and/or differently coparent and mother variables operate with regard to youth externalizing problems. Findings reveal that a range of family members and other adults actively participate in childrearing in African American single‐mother families, coparents do not differ from mothers on certain study variables (i.e., depression and mother–coparent conflict) but do for others (parenting), and coparent involvement is associated with youth adjustment in ways that are similar to our more established understanding of maternal involvement. The potential clinical implications of the findings are discussed and future research directions are highlighted.     

Decisions from experience: How groups and individuals adapt to change

Whether groups make better judgments and decisions than individuals has been studied extensively, but most of this research has focused on static tasks. How do groups and individuals compare in settings where the decision environment changes unexpectedly and without notification? This article examines group and individual behavior in decisions from experience where the underlying probabilities change after some trials. Consistent with the previous literature, the results showed that groups performed better than the average individual while the decision task was stable. However, group performance was no longer superior after a change in the decision environment. Group performance was closer to the benchmark of Bayesian updating, which assumed perfect memory. Findings suggest that groups did not adopt decision routines that might have delayed their adaption to change in the environment. Rather, they seem to have coordinated their responses, which led them to behave as if they had better memory and subsequently delayed adaptation.     

Are Perfectionism Dimensions Vulnerability Factors for Depressive Symptoms After Controlling for Neuroticism? A Meta‐analysis of 10 Longitudinal Studies

Extensive evidence suggests neuroticism is a higher‐order personality trait that overlaps substantially with perfectionism dimensions and depressive symptoms. Such evidence raises an important question: Which perfectionism dimensions are vulnerability factors for depressive symptoms after controlling for neuroticism? To address this, a meta‐analysis of research testing whether socially prescribed perfectionism, concern over mistakes, doubts about actions, personal standards, perfectionistic attitudes, self‐criticism and self‐oriented perfectionism predict change in depressive symptoms, after controlling for baseline depression and neuroticism, was conducted. A literature search yielded 10 relevant studies (N = 1,758). Meta‐analysis using random‐effects models revealed that all seven perfectionism dimensions had small positive relationships with follow‐up depressive symptoms beyond baseline depression and neuroticism. Perfectionism dimensions appear neither redundant with nor captured by neuroticism. Results lend credence and coherence to theoretical accounts and empirical studies suggesting perfectionism dimensions are part of the premorbid personality of people vulnerable to depressive symptoms. Copyright © 2016 European Association of Personality Psychology     

A Model of Intention to Participate in Parenting Interventions: The Role of Parent Cognitions and Behaviors

A wide range of factors, from perceived child behavior problems to sociocultural factors, have been identified as impacting the engagement of parents in parenting interventions. However, parents’ cognitions and behaviors have not been evaluated sufficiently to understand their role in initial parental engagement. The current study aimed to examine why some parents are more likely to want to participate in parenting programs and how their cognitions and behaviors are related to their intention to participate in future parenting interventions. We tested the hypothesised model of parental factors on intention to participate using structural equation modelling (SEM) in AMOS. This study (N = 6,733) analyzed existing data from the International Parenting Survey (IPS), a web-based tool developed to collect information about parents’ views on family and parenting at a population level in several countries. Results showed that parents’ coercive parenting, parental consistency, positive encouragement, relationship with their child, parental self-efficacy, psychological distress, and help-seeking behaviors were significantly related to their intention to participate in future parenting interventions. The structural model of parents’ cognitions and behaviors explained 16% of the variance in intention to participate. Although the current model explained a small but significant percentage of the variance, it expands existing understanding regarding parental cognitions and behaviors and their relationship to intention. Implications for further research and engagement practice are discussed.     

Maximizing Scales Do Not Reliably Predict Maximizing Behavior in Decisions from Experience

In this paper, we explore the relationships between psychometric and behavioral measures of maximization in decisions from experience (DfE). In two experiments, we measured choice behavior in two experimental paradigms of DfE and self‐reported maximizing tendencies using three prominent scales of maximization. In the repeated consequentialist choice paradigm, participants made repeated choices between two unlabeled options and received consequential feedback on each trial. In the sampling paradigm, participants freely sampled from two options and received feedback on their sampling before making a single consequential choice. Individuals exhibited different degrees of maximizing behavior in both paradigms and across different payoff distributions, but none of the maximizing scales predicted this behavior. These results indicate that maximization scales address constructs that are different from the maximization behavior observed in DfE, and that these measures will need to be improved to reflect behavioral aspects of choice and search from experience. Copyright © 2017 John Wiley & Sons, Ltd.