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1.
Danielle O. Dean Daniel J. Bauer Mitchell J. Prinstein 《Multivariate behavioral research》2017,52(3):271-289
A social network perspective can bring important insight into the processes that shape human behavior. Longitudinal social network data, measuring relations between individuals over time, has become increasingly common—as have the methods available to analyze such data. A friendship duration model utilizing discrete-time multilevel survival analysis with a multiple membership random effect structure is developed and applied here to study the processes leading to undirected friendship dissolution within a larger social network. While the modeling framework is introduced in terms of understanding friendship dissolution, it can be used to understand microlevel dynamics of a social network more generally. These models can be fit with standard generalized linear mixed-model software, after transforming the data to a pair-period data set. An empirical example highlights how the model can be applied to understand the processes leading to friendship dissolution between high school students, and a simulation study is used to test the use of the modeling framework under representative conditions that would be found in social network data. Advantages of the modeling framework are highlighted, and potential limitations and future directions are discussed. 相似文献
2.
Susan C. Duncan Lisa A. Strycker Terry E. Duncan Hayrettin Okut 《Journal of psychopathology and behavioral assessment》2002,24(3):169-175
This paper presents a multiple-group multivariate hierarchical specification of family problem behaviors across ethnicities using structural equation modeling techniques which explicitly model the individual-level and family-level covariance matrices in familial problem behavior. Analyses were conducted across White and African American ethnic groups. The sample (N = 1,168; 647 White and 521 African Americans) comprised children and their parents from 392 families. In addition to relations between family conflict and deviant behaviors, covariates were included at each level of analysis: neighborhood desirability at the family (between) level, and age and gender at the individual (within) level. At the between level, neighborhood desirability influenced family conflict and family conflict influenced family levels of deviance. At the within level, conflict was significantly related to individual levels of deviance. Discussion focuses on the substantive results as well as the application of multilevel analyses to contextual influences of family problem behavior. 相似文献
3.
Sacha Epskamp Lourens J. Waldorp René Mõttus Denny Borsboom 《Multivariate behavioral research》2013,48(4):453-480
We discuss the Gaussian graphical model (GGM; an undirected network of partial correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM shows which variables predict one-another, allows for sparse modeling of covariance structures, and may highlight potential causal relationships between observed variables. We describe the utility in three kinds of psychological data sets: data sets in which consecutive cases are assumed independent (e.g., cross-sectional data), temporally ordered data sets (e.g., n = 1 time series), and a mixture of the 2 (e.g., n > 1 time series). In time-series analysis, the GGM can be used to model the residual structure of a vector-autoregression analysis (VAR), also termed graphical VAR. Two network models can then be obtained: a temporal network and a contemporaneous network. When analyzing data from multiple subjects, a GGM can also be formed on the covariance structure of stationary means—the between-subjects network. We discuss the interpretation of these models and propose estimation methods to obtain these networks, which we implement in the R packages graphicalVAR and mlVAR. The methods are showcased in two empirical examples, and simulation studies on these methods are included in the supplementary materials. 相似文献
4.
Carla Sofia Silva Maria Manuela Calheiros Helena Carvalho Eunice Magalhães 《Psychologie appliquee》2022,71(2):564-586
Drawing on an ecological approach with multiple informants, this study investigated the mediating role of youth–caregiver relationship quality in associations between different features of residential care settings' organizational social context and youth's psychopathology. Participants were 378 youth aged between 12 and 25 years old, and 54 caregivers aged between 24 and 57 years old, from 29 generalist residential youth care settings in Portugal. Given the hierarchical structure of data, analyses were performed using multilevel modeling. Results revealed that organizational social contexts characterized by higher levels of engagement, stress, and centralization, as perceived by the caregivers, were associated with lower levels of youth's externalizing problems (e.g., aggressive behavior and delinquency), reported by the caregivers, via better youth–caregiver relationship quality, perceived by the youth in care. These findings highlight the relevance of creating an organizational social context in residential care settings that supports caregivers in establishing high-quality relationships with the youth in care, thereby promoting their mental health. This study contributes to the clarification of conflicting findings in previous studies of this field, by offering further empirical investigation of these issues. 相似文献
5.
Cluster analysis refers to a family of methods for identifying cases with distinctive characteristics in heterogeneous samples and combining them into homogeneous groups. This approach provides a great deal of information about the types of cases and the distributions of variables in a sample. This paper considers cluster analysis as a quantitative complement to the traditional linear statistics that often characterize community psychology research. Cluster analysis emphasizes diversity rather than central tendency. This makes it a valuable tool for a wide range of familiar problems in community research. A number of these applications are considered here, including the assessment of change over time, network composition, network density, person-setting relationships, and community diversity. A User's Guide section is included, which outlines the major decisions involved in a basic cluster analyses. Despite difficulties associated with the identification of optimal cluster solutions, carefully planned, theoretically informed application of cluster analysis has much to offer community researchers.
Editor's note: Dr. Edward Seidman served as action editor for this article while serving as Associate Editor for Methodology. 相似文献
6.
Kathryn Maguire-Jack 《Journal of aggression, maltreatment & trauma》2013,22(3):229-248
Official rates of child maltreatment vary considerably from community to community. Extensive research on the role of the community context in maltreatment suggests that the neighborhood in which families live could impact their maltreatment behavior. However, the vast majority of existing studies and literature reviews on the topic have not used statistical methods to appropriately control for the impact of these variables at the individual level. This literature review approaches the question of whether the community context affects maltreatment behavior above and beyond the individual-level variables by critiquing the studies that have successfully measured maltreatment risks at both the individual and community level using multilevel modeling. 相似文献
7.
Talking about unpleasant events has important implications for coping with distress, but the literature has not thoroughly addressed the role of social support on the decision to disclose these events. The authors hypothesized that perceptions of the availability of social support and satisfaction with support received regarding an event would be positively related to the disclosure of the event, and participants’ sex, emotional disclosure tendencies, depression symptoms, and global perceptions of support would moderate these relations. College students (N = 365) reported on 2,001 unpleasant emotional events that they personally experienced in the past week. Multilevel modeling analyses revealed that the perceived availability of support for an event predicted the degree of disclosure of that event, even while controlling for its intensity. Event disclosure predicted satisfaction with the support received for the event, controlling for event intensity and available support. This latter relation was moderated by the participants’ global perceptions of social support, such that the disclosure–satisfaction relation was stronger for individuals who perceived relatively less global social support. These findings suggest that characteristics of the social-support network ought to be considered as an important factor relevant to the decision to disclose everyday unpleasant events. 相似文献
8.
《Psychologie du Travail et des Organisations》2018,24(4):325-339
Our aim to identify factors which support use or provide rejection for “regular” but non intensive Enterprise Social Network (ESN) users. From UTAUT model, we propose to adapt social context evaluation by fixing attention on professional stake and context. Our results show partial benefits for the tool in professional activity. Even if these results are able to explain user disaffection, it also questions ESN as the structuring artefact. 相似文献
9.
Olaniyi Bojuwoye 《Journal of Psychology in Africa》2013,23(2):161-166
If the practice of psychology is to be relevant to environmental realities and context sensitive then conscious consideration must be given to the psychology training programme. Training programmes should give due recognition to the historical, political, social, economic and cultural contexts of human behaviours so as to understand how these interacting contexts may contribute to placing people at risk for ill-health. The main aim of this article is to present an analysis of African environmental realities to which training programmes in psychology must respond. In view of the under-utilization of psychological services within healthcare systems in many parts of Africa, this article also provides some suggestions for the development of appropriate training and practice modalities that may be geared towards effective healthcare service delivery in Africa. 相似文献
10.
E. L. Hamaker T. Asparouhov A. Brose F. Schmiedek B. Muthén 《Multivariate behavioral research》2013,48(6):820-841
With the growing popularity of intensive longitudinal research, the modeling techniques and software options for such data are also expanding rapidly. Here we use dynamic multilevel modeling, as it is incorporated in the new dynamic structural equation modeling (DSEM) toolbox in Mplus, to analyze the affective data from the COGITO study. These data consist of two samples of over 100 individuals each who were measured for about 100 days. We use composite scores of positive and negative affect and apply a multilevel vector autoregressive model to allow for individual differences in means, autoregressions, and cross-lagged effects. Then we extend the model to include random residual variances and covariance, and finally we investigate whether prior depression affects later depression scores through the random effects of the daily diary measures. We end with discussing several urgent—but mostly unresolved—issues in the area of dynamic multilevel modeling. 相似文献
11.
12.
Jenevieve Mannell Anna Dadswell 《Journal of community & applied social psychology》2017,27(3):196-211
Community mobilisation is a promising new strategy for preventing intimate partner violence (IPV) against women in low‐income settings. However, little is known about the contextual factors (e.g. socio‐economic, cultural, historical and political conditions) that enable the effective mobilisation of communities for IPV prevention. This paper draws from the theoretical work of Campbell and Cornish (2010) on the relationship between context and community action in addressing HIV/AIDS to propose a framework for situating community mobilisation for IPV prevention in its surrounding symbolic, material and relational contexts. The framework is refined using empirical data from a case study of a gender‐based violence (GBV) prevention intervention in Rwanda, including interviews with members of government‐mandated GBV Committees and focus group discussions with members of two village communities (n = 35). A thematic analysis identifies various contextual factors needed to support community mobilisation for IPV prevention, including: broad symbolic understandings of what constitutes IPV; capacity to economically support women who choose to leave violent relationships; mechanisms for addressing the silence that often surrounds IPV; support from policy and government authorities; and opportunities to effectively challenge inequitable policy and legal frameworks. This framework is useful for policy‐makers and programme planners interested in IPV prevention in and by communities. Copyright © 2017 John Wiley & Sons, Ltd. 相似文献
13.
Michael E. Young 《Journal of the experimental analysis of behavior》2018,109(2):293-312
Multilevel modeling provides the ability to simultaneously evaluate the discounting of individuals and groups by examining choices between smaller sooner and larger later rewards. A multilevel logistic regression approach is advocated in which sensitivity to relative reward magnitude and relative delay are considered as separate contributors to choice. Examples of how to fit choice data using multilevel logistic models are provided to help researchers in the adoption of these methods. 相似文献
14.
The term “multilevel meta-analysis” is encountered not only in applied research studies, but in multilevel resources comparing traditional meta-analysis to multilevel meta-analysis. In this tutorial, we argue that the term “multilevel meta-analysis” is redundant since all meta-analysis can be formulated as a special kind of multilevel model. To clarify the multilevel nature of meta-analysis the four standard meta-analytic models are presented using multilevel equations and fit to an example data set using four software programs: two specific to meta-analysis (metafor in R and SPSS macros) and two specific to multilevel modeling (PROC MIXED in SAS and HLM). The same parameter estimates are obtained across programs underscoring that all meta-analyses are multilevel in nature. Despite the equivalent results, not all software programs are alike and differences are noted in the output provided and estimators available. This tutorial also recasts distinctions made in the literature between traditional and multilevel meta-analysis as differences between meta-analytic choices, not between meta-analytic models, and provides guidance to inform choices in estimators, significance tests, moderator analyses, and modeling sequence. The extent to which the software programs allow flexibility with respect to these decisions is noted, with metafor emerging as the most favorable program reviewed. 相似文献
15.
To develop and validate an ultra‐short measure to assess the Big Five in social network designs, the unipolar items of the Ten‐Item Personality Inventory were adapted to create a bipolar single‐item scale (TIPI‐r), including a new Openness item. Reliability was examined in terms of the internal consistency and test–retest stability of self‐ratings and peer‐rating composites (trait reputations). Validity was examined by means of convergence between TIPI‐r and Big Five Inventory (BFI) scores, self‐peer agreement and projection (intra‐ individual correlation between self‐ and peer‐ratings). The psychometric quality of the TIPI‐r differed somewhat between scales and the different reliability and validity criteria. The high reliability of the peer‐rating composites motivates to use the TIPI‐r in future studies employing social network designs. Copyright © 2007 John Wiley & Sons, Ltd. 相似文献
16.
Eva M. Bracht Lucas Monzani Diana Boer S. Alexander Haslam Rudolf Kerschreiter Jérémy E. Lemoine Niklas K. Steffens Serap Arslan Akfirat Lorenzo Avanzi Bita Barghi Kitty Dumont Charlotte M. Edelmann Olga Epitropaki Katrien Fransen Steffen Giessner Ilka H. Gleibs Roberto González Ana Laguía González Jukka Lipponen Yannis Markovits Fernando Molero Juan A. Moriano Pedro Neves Gábor Orosz Christine Roland-Lévy Sebastian C. Schuh Tomoki Sekiguchi Lynda Jiwen Song Joana S. P. Story Jeroen Stouten Srinivasan Tatachari Daniel Valdenegro Lisanne van Bunderen Viktor Vörös Sut I. Wong Farida Youssef Xin-an Zhang Rolf van Dick 《Psychologie appliquee》2023,72(1):348-388
Innovation is considered essential for today's organizations to survive and thrive. Researchers have also stressed the importance of leadership as a driver of followers' innovative work behavior (FIB). Yet, despite a large amount of research, three areas remain understudied: (a) The relative importance of different forms of leadership for FIB; (b) the mechanisms through which leadership impacts FIB; and (c) the degree to which relationships between leadership and FIB are generalizable across cultures. To address these lacunae, we propose an integrated model connecting four types of positive leadership behaviors, two types of identification (as mediating variables), and FIB. We tested our model in a global data set comprising responses of N = 7,225 participants from 23 countries, grouped into nine cultural clusters. Our results indicate that perceived LMX quality was the strongest relative predictor of FIB. Furthermore, the relationships between both perceived LMX quality and identity leadership with FIB were mediated by social identification. The indirect effect of LMX on FIB via social identification was stable across clusters, whereas the indirect effects of the other forms of leadership on FIB via social identification were stronger in countries high versus low on collectivism. Power distance did not influence the relations. 相似文献
17.
Duncan TE Duncan SC Okut H Strycker LA Hix-Small H 《American journal of community psychology》2003,32(3-4):245-252
Different data sources were used to examine hypothesized relations among neighborhood-, family-, and individual-level variables, and perceptions of neighborhood collective efficacy. Data were from 1,105 individuals (56% female, 42% African American, and 58% White) nested within 55 neighborhoods and 392 families, analyzed within a multilevel design using a 3-level model. At the neighborhood level, the study examined relations between Census, police, and neighborhood representative indicators. At the family level, the model examined the influence of marital status and family income. At the individual level, gender and age were examined. Results indicated that age at the individual level, marital status at the family level, and poverty and perceived gang activity at the neighborhood level predicted levels of neighborhood collective efficacy. The study illustrated significant variation across neighborhoods and families, and demonstrates the utility of combining different sources of neighborhood data to examine relations of interest within a multilevel framework. 相似文献
18.
Laura Wray-Lake 《Child Development Perspectives》2019,13(2):127-132
Despite the importance of examining how adolescents and young adults contribute solutions to society's pressing problems, gaps in the literature leave unanswered the question of how young people become politically engaged. Research suggests that youth learn to be political by forming attachments to their communities and accessing opportunities in the settings of their everyday lives. Settings operate as mini-polities through which youth develop a sense of what it means to be a member of a collective. Meaningful opportunities to practice political skills and behaviors can be fostered in schools and communities, via social media, and through policy change. Historic events, particularly elections, can also influence political attitudes and behaviors in lasting ways. Cultural and contextual variability in experiences, access to opportunities, and reactions to historic events shape youth's political developmental pathways. Research that is developmentally and culturally informed and that uses rigorous study designs can identify more effectively what determines the formation and growth of youth political engagement. 相似文献
19.
The total variance of a first-order autoregressive AR(1) time series is well known in time series literature. However, despite the increased use and interest in two-level AR(1) models, an equation for the total variance of these models does not exist. This paper presents an approximation of this total variance. It will be used to compute the unexplained and explained variance at each level of the model, the proportion of explained variance, and the intraclass correlation (ICC). The use of these variances and the ICC will be illustrated using an example concerning structured diary data about the positive affect of 96 married women. 相似文献
20.
Margot Bennink Marcel A. Croon Jeroen K. Vermunt 《Multivariate behavioral research》2013,48(6):662-675
Explaining group-level outcomes from individual-level predictors requires aggregating the individual-level scores to the group level and correcting the group-level estimates for measurement errors in the aggregated scores. However, for discrete variables it is not clear how to perform the aggregation and correction. It is shown how stepwise latent class analysis can be used to do this. First, a latent class model is estimated in which the scores on a discrete individual-level predictor are used to construct group-level latent classes. Second, this latent class model is used to aggregate the individual-level predictor by assigning the groups to the latent classes. Third, a group-level analysis is performed in which the aggregated measures are related to the remaining group-level variables while correcting for the measurement error in the class assignments. This stepwise approach is introduced in a multilevel mediation model with a single individual-level mediator, and compared to existing methods in a simulation study. We also show how a mediation model with multiple group-level latent variables can be used with multiple individual-level mediators and this model is applied to explain team productivity (group level) as a function of job control (individual level), job satisfaction (individual level), and enriched job design (group level). 相似文献