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Jeffrey R. Measelle

Bio: Jeffrey R. Measelle is an academic researcher from University of Oregon. The author has contributed to research in topics: Thiamine & Poison control. The author has an hindex of 19, co-authored 43 publications receiving 3375 citations. Previous affiliations of Jeffrey R. Measelle include Washington University in St. Louis & Friends Hospital.

Papers
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TL;DR: A theory is proposed to explain observed patterns of interinformant discordance and a new approach to using data from multiple informants to measure characteristics of interest is suggested.
Abstract: OBJECTIVE: When there exists no single source of information (informant) to validly measure a characteristic, it is typically recommended that data from multiple informants be used. In psychiatric assessment and research, however, multiple informants often provide discordant data, which further confuse the measurement. Strategies such as arbitrarily choosing one informant or using the data from all informants separately generate further problems. This report proposes a theory to explain observed patterns of interinformant discordance and suggests a new approach to using data from multiple informants to measure characteristics of interest. METHOD: Using the example of assessment of developmental psychopathology in children, the authors propose a model in which the choice of informants is based on conceptualizing the contexts and perspectives that influence expression of the characteristic of interest and then identifying informants who represent those contexts and perspectives in such a way as to have the ...

669 citations

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TL;DR: This article found that conflict in the teacher-child relationship during the school transition contributed to faster rates of increase in externalizing behavior from kindergarten through third grade above and beyond negative parenting and initial levels of externalizing behaviour.

547 citations

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TL;DR: Results showed that 4 1/2- to 7 1/ 2-year-olds possess a multidimensional self-concept that can be reliably measured and that the BPI is sensitive to normative changes and individual differences in young boys' and girls' views of themselves.
Abstract: In a prospective, longitudinal study we examined the psychometric properties of the self-perception scales of the Berkeley Puppet Interview (BPI). A total sample of 97 young children were assessed with the BPI at 3 time points: preschool, kindergarten, and first grade. The BPI assesses young children's self-perceptions of their school adjustment in 6 domains: academic competence, achievement motivation, social competence, peer acceptance, depression-anxiety, and aggression-hostility. Results showed that 4 1/2- to 7 1/2-year-olds possess a multidimensional self-concept that can be reliably measured and that the BPI is sensitive to normative changes and individual differences in young boys' and girls' views of themselves. Support for the method's validity was derived from consistent and meaningful patterns of convergence between children's self-perceptions and ratings by adult informants--mothers, fathers, and teachers--as well as standardized test scores. In fact, in this study, the concordance between young children's self-reports and parallel ratings by teachers or mothers were consistently as strong as if not stronger than the concordance between mothers' and teachers' ratings.

337 citations

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TL;DR: This study and four others of very young twins show that genetic risks contribute strongly to population variation in antisocial behaviour that emerges in early childhood, suggesting that the early-childhood form has a distinct etiology, particularly if it is pervasive across situations.
Abstract: Background: Early childhood antisocial behaviour is a strong prognostic indicator for poor adult mental health. Thus, information about its etiology is needed. Genetic etiology is unknown because most research with young children focuses on environmental risk factors, and the few existing studies of young twins used only mothers' reports of behaviour, which may be biased. Method: We investigated genetic influences on antisocial behaviour in a representative-plus-high-risk sample of 1116 pairs of 5-year-old twins using data from four independent sources: mothers, teachers, examiner-observers previously unacquainted with the children, and the children themselves. Results: Children's antisocial behaviour was reliably measured by all four informants; no bias was detected in mothers', teachers', examiners', or children's reports. Variation in antisocial behaviour that was agreed upon by all informants, and thus was pervasive across settings, was influenced by genetic factors (82%) and experiences specific to each child (18%). Variation in antisocial behaviour that was specific to each informant was meaningful variation, as it was also influenced by genetic factors (from 33% for the children's report to 71% for the teachers' report). Conclusions: This study and four others of very young twins show that genetic risks contribute strongly to population variation in antisocial behaviour that emerges in early childhood. In contrast, genetic risk is known to be relatively modest for adolescent antisocial behaviour, suggesting that the early-childhood form has a distinct etiology, particularly if it is pervasive across situations.

224 citations

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TL;DR: The results provide the beginnings of an account of how the Big Five dimensions begin to be salient and emerge as coherent, stable, and valid self-perceptions in childhood.
Abstract: Research on early childhood personality has been scarce Self-reports of Big Five personality traits were measured longitudinally with the Berkeley Puppet Interview when children were 5, 6, and 7 years of age For comparative purposes, Big Five self-reports were collected in a sample of college students The children's self-reports showed levels of consistency and differentiation that approached those of the college age sample Children's personality self-reports demonstrated significant correlations across the 1- and 2-year longitudinal intervals Substantial and increasing convergence was found between children's self-reports of Extraversion, Agreeableness, and Conscientiousness and conceptually relevant behavior ratings provided by mothers, fathers, and teachers Children's self-reports of Neuroticism were unrelated to adults' reports but did predict sadness and anxious behavior observed in the laboratory The results provide the beginnings of an account of how the Big Five dimensions begin to be salient and emerge as coherent, stable, and valid self-perceptions in childhood

198 citations


Cited by
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TL;DR: This review examines research about the structure of personality in childhood and in adulthood, with special attention to possible developmental changes in the lower-order components of broad traits.
Abstract: In this review, we evaluate four topics in the study of personality development where discernible progress has been made since 1995 (the last time the area of personality development was reviewed in this series). We (a) evaluate research about the structure of personality in childhood and in adulthood, with special attention to possible developmental changes in the lower-order components of broad traits; (b) summarize new directions in behavioral genetic studies of personality; (c) synthesize evidence from longitudinal studies to pinpoint where and when in the life course personality change is most likely to occur; and (d) document which personality traits influence social relationships, status attainment, and health, and the mechanisms by which these personality effects come about. In each of these four areas, we note gaps and identify priorities for further research.

2,221 citations

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TL;DR: The findings suggest that mental disorders affect a significant number of children and adolescents worldwide and the pooled prevalence estimates and the identification of sources of heterogeneity have important implications to service, training, and research planning around the world.
Abstract: Background The literature on the prevalence of mental disorders affecting children and adolescents has expanded significantly over the last three decades around the world. Despite the field having matured significantly, there has been no meta-analysis to calculate a worldwide-pooled prevalence and to empirically assess the sources of heterogeneity of estimates. Methods We conducted a systematic review of the literature searching in PubMed, PsycINFO, and EMBASE for prevalence studies of mental disorders investigating probabilistic community samples of children and adolescents with standardized assessments methods that derive diagnoses according to the DSM or ICD. Meta-analytical techniques were used to estimate the prevalence rates of any mental disorder and individual diagnostic groups. A meta-regression analysis was performed to estimate the effect of population and sample characteristics, study methods, assessment procedures, and case definition in determining the heterogeneity of estimates. Results We included 41 studies conducted in 27 countries from every world region. The worldwide-pooled prevalence of mental disorders was 13.4% (CI 95% 11.3–15.9). The worldwide prevalence of any anxiety disorder was 6.5% (CI 95% 4.7–9.1), any depressive disorder was 2.6% (CI 95% 1.7–3.9), attention-deficit hyperactivity disorder was 3.4% (CI 95% 2.6–4.5), and any disruptive disorder was 5.7% (CI 95% 4.0–8.1). Significant heterogeneity was detected for all pooled estimates. The multivariate metaregression analyses indicated that sample representativeness, sample frame, and diagnostic interview were significant moderators of prevalence estimates. Estimates did not vary as a function of geographic location of studies and year of data collection. The multivariate model explained 88.89% of prevalence heterogeneity, but residual heterogeneity was still significant. Additional meta-analysis detected significant pooled difference in prevalence rates according to requirement of funcional impairment for the diagnosis of mental disorders. Conclusions Our findings suggest that mental disorders affect a significant number of children and adolescents worldwide. The pooled prevalence estimates and the identification of sources of heterogeneity have important implications to service, training, and research planning around the world.

2,219 citations

Journal ArticleDOI
TL;DR: A theoretical framework is presented to guide research and theory examining informant discrepancies in the clinic setting and theoretically driven attention to conceptualizing informant discrepancies across informant pairs is focused on.
Abstract: Discrepancies often exist among different informants' (e.g., parents, children, teachers) ratings of child psychopathology. Informant discrepancies have an impact on the assessment, classification, and treatment of childhood psychopathology. Empirical work has identified informant characteristics that may influence informant discrepancies. Limitations of previous work include inconsistent measurement of informant discrepancies and, perhaps most importantly, the absence of a theoretical framework to guide research. In this article, the authors present a theoretical framework (the Attribution Bias Context Model) to guide research and theory examining informant discrepancies in the clinic setting. Needed directions for future research and theory include theoretically driven attention to conceptualizing informant discrepancies across informant pairs (e.g., parent-teacher, mother-father, parent-child, teacher-child) as well as developing experimental approaches to decrease informant discrepancies in the clinic setting.

2,092 citations

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TL;DR: It is found that common mental disorders are strongly linked to personality and have similar trait profiles, and greater attention to these constructs can significantly benefit psychopathology research and clinical practice.
Abstract: We performed a quantitative review of associations between the higher order personality traits in the Big Three and Big Five models (i.e., neuroticism, extraversion, disinhibition, conscientiousness, agreeableness, and openness) and specific depressive, anxiety, and substance use disorders (SUD) in adults. This approach resulted in 66 meta-analyses. The review included 175 studies published from 1980 to 2007, which yielded 851 effect sizes. For a given analysis, the number of studies ranged from three to 63 (total sample size ranged from 1,076 to 75,229). All diagnostic groups were high on neuroticism (mean Cohen's d = 1.65) and low on conscientiousness (mean d = -1.01). Many disorders also showed low extraversion, with the largest effect sizes for dysthymic disorder (d = -1.47) and social phobia (d = -1.31). Disinhibition was linked to only a few conditions, including SUD (d = 0.72). Finally, agreeableness and openness were largely unrelated to the analyzed diagnoses. Two conditions showed particularly distinct profiles: SUD, which was less related to neuroticism but more elevated on disinhibition and disagreeableness, and specific phobia, which displayed weaker links to all traits. Moderator analyses indicated that epidemiologic samples produced smaller effects than patient samples and that Eysenck's inventories showed weaker associations than NEO scales. In sum, we found that common mental disorders are strongly linked to personality and have similar trait profiles. Neuroticism was the strongest correlate across the board, but several other traits showed substantial effects independent of neuroticism. Greater attention to these constructs can significantly benefit psychopathology research and clinical practice.

2,003 citations