974 research outputs found

    Product expenditure patterns in the ECPF survey: an analysis using multiple group latent-variables models

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    Using data form the Spanish household budget survey, we investigate some aspects of household heterogeneity on several product expenditures. We adopt a latent-variable model approach to evaluate the impact of income on expenditures, controlling for the number of members in the family. Two latent factors underlying repeated measures of monetary and non-monetary income are used as explanatory variables in the expenditure regression equations, thus avoiding possible bias associated to the measurement error in income. The proposed methodology also takes care of the case in which product expenditures exhibit a pattern of infrequent purchases. Multiple-group analysis is used to assess the variation of key parameters of the model across various household typologies. The analysis discloses significant variations across groups on the mean levels of expenditures and on the way income and family size affect expenditures. Asymptotic robust methods are used to account for possible non-normality of the data

    Improving both domain and total area estimation by composition

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    In this article we propose small area estimators for both the small and large area parameters. When the objective is to estimate parameters at both levels, optimality is achieved by a sample design that combines fixed and proportional allocation. In such a design, one fraction of the sample is distributed proportionally among the small areas and the rest is evenly distributed. Simulation is used to assess the performance of the direct estimator and two composite small area estimators, for a range of sample sizes and different sample distributions. Performance is measured in terms of mean squared errors for both small and large area parameters. Small area composite estimators open the possibility of reducing the sample size when the desired precision is given, or improving precision for a given sample size.Peer Reviewe

    Estimadores compuestos en estadística regional: una aplicación a la estimación de la tasa de variación de la ocupación en la industria

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    Este trabajo es parte de un proyecto que estudia la aplicación de estimadores compuestos (combinación de estimadores directos e indirectos) para áreas pequeñas en estadística regional. Comparamos tres estimadores: uno directo basado en datos muestrales de cada Comunidad Autónoma (CA), otro sintético (indirecto) que combina los datos estatales con información específica de las CCAA, y un tercer estimador, el compuesto, basado en un modelo estadístico que se concreta en una combinación lineal de los dos anteriores. Ilustramos el método de análisis adoptado mediante la estimación de la tasa de variación de la ocupación industrial en las diferentes CCAA de España

    Help-Seeking Attitudes of United Arab Emirates Students

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    © Division of Counseling Psychology of the American Psychological Association. The psychological help-seeking patterns of college students in the United Arab Emirates (UAE) have only recently begun to be examined. Initial suggestions indicate that the majority of Emirati students treat help seeking from counselors as a last resort, which may be linked to aspects of Emirati culture including feared loss of societal face, stigma associated with seeking help, and discouragement of self-disclosure to individuals outside of the family. The relationship among fear of losing face, stigma, self-disclosure expectations (i.e., risks and benefits), and help-seeking attitudes was examined using structural equation modeling with 407 Emirati college students. Loss of face and stigma were related to self-disclosure expectations, which in turn were related to help-seeking attitudes. Gender differences were also examined with results indicating significant mean differences across all variables, as well as across two paths of the structural model. These findings are discussed within the cultural context of the UAE

    A framework for power analysis using a structural equation modelling procedure

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    BACKGROUND: This paper demonstrates how structural equation modelling (SEM) can be used as a tool to aid in carrying out power analyses. For many complex multivariate designs that are increasingly being employed, power analyses can be difficult to carry out, because the software available lacks sufficient flexibility. Satorra and Saris developed a method for estimating the power of the likelihood ratio test for structural equation models. Whilst the Satorra and Saris approach is familiar to researchers who use the structural equation modelling approach, it is less well known amongst other researchers. The SEM approach can be equivalent to other multivariate statistical tests, and therefore the Satorra and Saris approach to power analysis can be used. METHODS: The covariance matrix, along with a vector of means, relating to the alternative hypothesis is generated. This represents the hypothesised population effects. A model (representing the null hypothesis) is then tested in a structural equation model, using the population parameters as input. An analysis based on the chi-square of this model can provide estimates of the sample size required for different levels of power to reject the null hypothesis. CONCLUSIONS: The SEM based power analysis approach may prove useful for researchers designing research in the health and medical spheres

    The longer your work hours, the worse your relationship? The role of selective optimization with compensation in the associations of working time with relationship satisfaction and self-disclosure in dual-career couples

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    This two-wave panel study investigates the associations between working time, selective optimization with compensation in private life and relationship outcomes (i.e. relationship satisfaction and self-disclosure) in dual-career couples. We propose that one partner’s selective optimization with compensation in private life either mediates or moderates the association of this partner’s working time and relationship outcomes (i.e. relationship satisfaction and self-disclosure). Moreover, we postulate the crossover (i.e. transmission) of relationship satisfaction and self-disclosure within the couple. To test these hypotheses, we conducted an online study with a time lag of six months, in which 285 dual-career couples took part. We found evidence for selective optimization with compensation in private life as a mediator: working time spent by partners in dual-career couples was associated with selective optimization with compensation in their private life that, in turn, predicted relationship satisfaction and self-disclosure. Results did not support the assumption that one partner’s selective optimization with compensation in private life moderates the association between working time and relationship satisfaction and self-disclosure. Relationship satisfaction, but not self-disclosure, crossed over within the couples. The results challenge the assumption that longer work hours have negative consequences for romantic relationships

    Collective Narcissism, In-Group Satisfaction, and Solidarity in the Face of COVID-19

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    The present study explored the antecedents of solidarity amid the COVID-19 pandemic. Given that solidarity during mass emergencies involves the development of a social identity encompassing those facing a common fate, we examined how national in-group satisfaction (a belief that the national in-group and one’s membership in it are of high value) versus national collective narcissism (a belief that the national in-group is exceptional and entitled to privileged treatment, but not sufficiently recognized by others) predicted solidarity with those affected by the pandemic in Poland. The results of cross-sectional and dynamic analyses from a panel study on a representative sample of Polish adults indicate that in-group satisfaction predicted greater COVID-19 solidarity, whereas collective narcissism predicted reduced COVID-19 solidarity

    Which better predicts conduct problems? The relationship of trajectories of Conduct Problems, with ODD and ADHD Symptoms from childhood into adolescence

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    Background: To assess the co-occurrence in deviant trajectories of parent-rated symptoms of conduct disorder (CD), oppositional defiant disorder (ODD) and attention-deficit/hyperactivity disorder (ADHD) from age 4 to 18 years old in a general population sample of Dutch children. Methods: Developmental trajectories of CD, ODD, and ADHD were estimatedin a sample of 1,016 males and 1,060 females. Children's disruptive problem behaviors were rated at 5 time-points. The co-occurrence patterns between the deviant CD trajectory, and the high ODD and high ADHD trajectory were studied for males and females separately. Results: Four percent of males and 2% of females followed a deviant CD trajectory. Six percent of the sample followed a high ODD trajectory, and 5% a high ADHD trajectory. Engagement in the deviant CD trajectory was predicted by ODD and ADHD in females, but only by ODD in males. Conclusions: Although ADHD co-occurs with CD, the association between ADHD and CD is largely accounted for by accompanying ODD. Gender differences should be taken into account in understanding the onset of CD. © 2007 The Authors Journal compilation © 2007 Association for Child and Adolescent Mental Health

    Experts' Judgments of Management Journal Quality:An Identity Concerns Model

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    Many lists that purport to gauge the quality of journals in management and organization studies (MOS) are based on the judgments of experts in the field. This article develops an identity concerns model (ICM) that suggests that such judgments are likely to be shaped by the personal and social identities of evaluators. The model was tested in a study in which 168 editorial board members rated 44 MOS journals. In line with the ICM, respondents rated journal quality more highly to the extent that a given journal reflected their personal concerns (associated with having published more articles in that journal) and the concerns of a relevant ingroup (associated with membership of the journal’s editorial board or a particular disciplinary or geographical background). However, judges’ ratings of journals in which they had published were more favorable when those journals had a low-quality reputation, and their ratings of journals that reflected their geographical and disciplinary affiliations were more favorable when those journals had a high-quality reputation. The findings are thus consistent with the view that identity concerns come to the fore in journal ratings when there is either a need to protect against personal identity threat or a meaningful opportunity to promote social identity
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