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Stability and Change in Adolescents’ Sense of Agency: Effects of Attachment to Parents, Sex, Multiple Risk, and Pandemic Stress

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Abstract

The current study examined the stability/change trajectories of sense of agency across high school, analyzing whether these trajectories are influenced by attachment to parents over time, as well as adolescent’s sex, psychosocial risk in baseline, and pandemic stress. The sample includes 467 Portuguese adolescents (59.3% were females; Mage = 15.58 years, SD = .80), who were evaluated three times across 18 months. This work yielded three major findings. First, we found that adolescents’ sense of agency significantly increased over time, with significant inter-subject variance at the initial levels, but not at the growth rate. Second, we observed a stable effect of attachment to parents on sense of agency across late adolescence. Further, we found differential effects of attachment to father versus mother on agency beliefs. Third, we verified that boys reported a greater growth of sense of agency than girls; that adolescents who experienced higher levels of multiple risks in T1 showed lower initial levels of sense of agency; and that adolescents who reported higher levels of pandemic-related stress reported less growth of sense of agency. These findings emphasize the role of individual and family characteristics, as well as the role of the wider social context in shaping the development of sense of agency during adolescence. Moreover, the findings underline the need to consider differential influences in the relationship with fathers versus mothers to gain a better understanding of changes in agency beliefs.

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Praise for the First Edition of Statistical Analysis with Missing Data “An important contribution to the applied statistics literature.... I give the book high marks for unifying and making accessible much of the past and current work in this important area.”—William E. Strawderman, Rutgers University “This book...provide[s] interesting real-life examples, stimulating end-of-chapter exercises, and up-to-date references. It should be on every applied statistician’s bookshelf.”—The Statistician “The book should be studied in the statistical methods department in every statistical agency.”—Journal of Official Statistics Statistical analysis of data sets with missing values is a pervasive problem for which standard methods are of limited value. The first edition of Statistical Analysis with Missing Data has been a standard reference on missing-data methods. Now, reflecting extensive developments in Bayesian methods for simulating posterior distributions, this Second Edition by two acknowledged experts on the subject offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing-data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing-data mechanism and apply the theory to a wide range of important missing-data problems. The new edition now enlarges its coverage to include: Expanded coverage of Bayesian methodology, both theoretical and computational, and of multiple imputation Analysis of data with missing values where inferences are based on likelihoods derived from formal statistical models for the data-generating and missing-data mechanisms Applications of the approach in a variety of contexts including regression, factor analysis, contingency table analysis, time series, and sample survey inference Extensive references, examples, and exercises Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Analysis With Missing Data was among those chosen.
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A common concern when faced with multivariate data with missing values is whether the missing data are missing completely at random (MCAR); that is, whether missingness depends on the variables in the data set. One way of assessing this is to compare the means of recorded values of each variable between groups defined by whether other variables in the data set are missing or not. Although informative, this procedure yields potentially many correlated statistics for testing MCAR, resulting in multiple-comparison problems. This article proposes a single global test statistic for MCAR that uses all of the available data. The asymptotic null distribution is given, and the small-sample null distribution is derived for multivariate normal data with a monotone pattern of missing data. The test reduces to a standard t test when the data are bivariate with missing data confined to a single variable. A limited simulation study of empirical sizes for the test applied to normal and nonnormal data suggests that the test is conservative for small samples.
Article
Empirical treatments of agency have not caught up with theoretical explication; empirical projects almost always focus on concurrent beliefs about one's ability to act successfully without sufficiently attending to temporality. We suggest that understanding the modern life course necessitates a multidimensional understanding of subjective agency involving a) perceived capacities and b) perceived life-chances, or expectations about what life holds in store. We also suggest that a proper understanding of agency's potential power within a life course necessitates moving beyond the domain-specific expectations more typical of past sociological work. Utilizing the Youth Development Study (YDS), we employ a scale of general life expectations in adolescence to explore the potential influence of a general sense of optimistic life-expectations in addition to the traditional agency-as-efficacy approach on a range of important outcomes.
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Large-scale surveys using complex sample designs are frequently carried out by government agencies. The statistical analysis technology available for such data is, however, limited in scope. This study investigates and further develops statistical methods that could be used in software for the analysis of data collected under complex sample designs. First, it identifies several recent methodological lines of inquiry which taken together provide a powerful and general statistical basis for a complex sample, structural equation modeling analysis. Second, it extends some of this research to new situations of interest. A Monte Carlo study that empirically evaluates these techniques on simulated data comparable to those in largescale complex surveys demonstrates that they work well in practice. Due to the generality of the approaches, the methods cover not only continuous normal variables but also continuous non-normal variables and dichotomous variables. Two methods designed to take into account the complex sample structure were investigated in the Monte Carlo study. One method, termed aggregated analysis, computes the usual parameter estimates but adjusts standard errors and goodness-of-fit model testing. The other method, termed disaggregated analysis, includes a new set of parameters reflecting the complex sample structure. Both of the methods worked very well. The conventional method that ignores complex sampling worked poorly, supporting the need for development of special methods for complex survey data.
Article
Why are transfer students at an increased risk for disengagement and dropout? Previous research suggests that the loss of school-based social relationships play a role. Data from the National Longitudinal Study of Adolescent Health (Add Health) are used to analyze what predicts student transfer and what effect this has on students? social relationships. Results are based on propensity score matching techniques and are compared with those from a more traditional approach that utilizes regression methods. Findings indicate transfer students report fewer school friends and fail more courses. In addition, transfer students report increased closeness to their teachers after changing schools. Conclusions point to the importance of gatekeepers within institutions, such as teachers, to help individuals rebuild social solidarity after mobility between institutions.
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This article presents an agentic theory of human development, adaptation, and change. The evolutionary emergence of advanced symbolizing capacity enabled humans to transcend the dictates of their immediate environment and made them unique in their power to shape their life circumstances and the courses their lives take. In this conception, people are contributors to their life circumstances, not just products of them. Social cognitive theory rejects a duality between human agency and social structure. People create social systems, and these systems, in turn, organize and influence people's lives. This article discusses the core properties of human agency, the different forms it takes, its ontological and epistemological status, its development and role in causal structures, its growing primacy in the coevolution process, and its influential exercise at individual and collective levels across diverse spheres of life and cultural systems. © 2006 Association for Psychological Science.
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Rates of STIs, HIV, and pregnancy remain high among adolescents in the US, and recent approaches to reducing sexual risk have shown limited success. Future expectations, or the extent to which one expects an event to actually occur, may influence sexual risk behavior. This prospective study uses longitudinal data from the National Longitudinal Survey of Youth 1997 (n = 3,205 adolescents; 49.8 % female) to examine the impact of previously derived latent classes of future expectations on sexual risk behavior. Cox regression and latent growth models were used to determine the effect of future expectations on age at first biological child, number of sexual partners, and inconsistent contraception use. The results indicate that classes of future expectations were uniquely associated with each outcome. The latent class reporting expectations of drinking and being arrested was consistently associated with the greatest risks of engaging in sexual risk behavior compared with the referent class, which reported expectations of attending school and little engagement in delinquent behaviors. The class reporting expectations of attending school and drinking was associated with having greater numbers of sexual partners and inconsistent contraception use but not with age at first biological child. The third class, defined by expectations of victimization, was not associated with any outcome in adjusted models, despite being associated with being younger at the birth of their first child in the unadjusted analysis. Gender moderated specific associations between latent classes and sexual risk outcomes. Future expectations, conceptualized as a multidimensional construct, may have a unique ability to explain sexual risk behaviors over time. Future strategies should target multiple expectations and use multiple levels of influence to improve individual future expectations prior to high school and throughout the adolescent period.
Article
Measurement equivalence/invariance (ME/I) is a condition that should be met before meaningful comparisons of survey results across groups can be made. As an alternative to the likelihood ratio test (LRT), the change in comparative fit index (ΔCFI) rules of thumb, and the modification index (MI), this teaching note demonstrates the procedures for establishing bias-corrected (BC) bootstrap confidence intervals for testing ME/I. Unlike the LRT and ΔCFI methods, which need a different model estimation per item, the BC bootstrap confidence intervals approach can examine item-level ME/I tests using a single model. This method greatly simplifies the search for an invariant item as the reference indicator in the factor-ratio test. Also demonstrated here is how the factor-ratio test and the list-and-delete method can be extended from the metric invariance test to the scalar invariance test. Finally, the BC bootstrap confidence interval procedures for comparing uniqueness variances, factor variances, factor covariances, and latent means across groups are shown.
Article
Family is an important socialization context for youth as they move through early adolescence. A significant feature of this complex socialization context is the accumulation of potential family risk factors that may compromise youth adjustment. This study examined cumulative family risk and adolescents' adjustment difficulties in 416 two-parent families using four waves of annual longitudinal data (51 % female youth). Risk factors in four family domains were examined: socioeconomic, parents' psychological realm, marital, and parenting. Cumulative family risk experienced while in 6th grade was associated concurrently with daughters' higher internalizing problems and with increased internalizing problems during early adolescence. Cumulative family risk was associated concurrently with sons' higher externalizing problems and with daughters' increased externalizing problems over time. Cumulative family risk was associated concurrently with lower grades and with declining grades over time for both daughters and sons. The number of risk domains also was associated with youths' adjustment difficulties during early adolescence, providing evidence that risk in two-parent families involves more than ineffective parenting. These findings suggest a critical need to provide strong support for families in reducing a variety of stressors across multiple family domains as their children traverse early adolescence.
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Theoretical Perspectives on Attachment and Autonomy Approaches to Measuring Attachment and Autonomy During Adolescence Normative Development of Attachment and Autonomy Individual Differences in Attachment and Autonomy Processes Directions for Future Research Keywords: adolescence; attachment ; autonomy; parent-adolescent relationships; social development
Article
A Monte Carlo simulation examined the performance of 4 missing data methods in structural equation models: full information maximum likelihood (FIML), listwise deletion, pairwise deletion, and similar response pattern imputation. The effects of 3 independent variables were examined (factor loading magnitude, sample size, and missing data rate) on 4 outcome measures: convergence failures, parameter estimate bias, parameter estimate efficiency, and model goodness of fit. Results indicated that FIML estimation was superior across all conditions of the design. Under ignorable missing data conditions (missing completely at random and missing at random), FIML estimates were unbiased and more efficient than the other methods. In addition, FIML yielded the lowest proportion of convergence failures and provided near-optimal Type 1 error rates across both simulations.
Article
Two new scales of parental care and overprotection, and their combination as a Parental Bonding Instrument, are described. On measurements of reliability and validity the scales appear to be acceptable, and are independent of the parent's sex. It would appear that mothers are perceived as significantly more caring and slightly more overprotective than fathers, but that those judgements are not influenced by the sex of the child. Overprotection appears to be associated with lack of care. The scales and scoring method are appended. Norms for a general Sydney population are presented, and the possible influence of age, sex and social class examined.
Article
The primary-secondary transition can negatively affect pupils' emotional and psychological adjustment. However, methods for assessing concerns regarding secondary school are limited. A reliable and valid measure of transition-related concerns would be useful both in evaluating and shaping the content and delivery of universal and targeted transition support programmes. To assess the validity of a quantitative self-report measure of school concerns as an assessment tool during the primary-secondary school transition. A UK sample of 147 Year 6 primary school pupils and 263 Year 7 secondary school pupils. Self-reports of school concerns and school liking as well as self-reported and peer assessments on a range of psychological adjustment measures were collected. The School Concerns Questionnaire (SCQ) showed good reliability at primary and secondary school. Secondary concerns reduced significantly post-transition. Three factors emerged from an exploratory factor analysis of the SCQ and the pattern of results was replicated for post-transition concerns. Pupils with higher school concerns at secondary school reported reduced liking of school and reduced trust and respect for teachers. The SCQ was associated with generalized anxiety and female gender both pre-and post-transition. Peer problems and depression were associated with pre- and post-transition concerns, respectively. The SCQ is a simple to complete, reliable, and valid tool for assessing primary-secondary transition concerns. It could serve a valuable role in the evaluation and development of universal and targeted school-based initiatives that aim to promote positive secondary transition.
Article
The early adolescent's state of mind in the Adult Attachment Interview (AAI) is more closely linked to social interactions with peers, who are unlikely to serve as attachment figures, than it is to (i) qualities of the adolescent's interactions with parents, (ii) the AAI of the adolescent's mother, or (iii) the adolescent's prior Strange Situation behavior. This unexpected finding suggests the value of reconceptualizing AAI autonomy/security as a marker of the adolescent's capacity for emotion regulation in social interactions. Supporting this, we note that the AAI was originally validated not as a marker of attachment experiences or expectations with one's caregivers, but as a predictor of caregiving capacity sufficient to produce secure offspring. As such, the AAI may be fruitfully viewed as primarily assessing social emotion regulation capacities that support both strong caregiving skills and strong skills relating with peers.
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This study explored factors that may be associated with early initiation of sexual activity among adolescents. Using the cumulative risk model, we hypothesized that as exposure to risk factors increases, so does the likelihood of early sexual debut. A sample of 273 (53% girls, 90% European American) adolescents was followed longitudinally from age 13 to 15. The results indicate that, for girls, increased television viewing, low self-esteem, poor parental relationships, living in a non-intact household, higher levels of externalizing behavior (ADHD symptomology), low academic achievement, and parents with low education levels were associated with earlier sexual debut. For boys, advanced pubertal development, increased television viewing, higher rates of externalizing behaviors (ADHD and ODD symptoms), and poor parental relationships were associated with earlier sexual debut. As hypothesized, predictive power increases with the accumulation of these risks; girls are 1.56 times more likely to become sexually active with an increase of only one risk and boys are 1.90 times more likely.