Emilio Ferrer
Biographic Data
| ID | 3819263 |
|---|---|
| NAME | Emilio Ferrer |
| GIVEN NAMES | Emilio |
| FAMILY NAME | Ferrer |
| SIGNATURE | FERRER E |
| AFFILIATIONS | University of California, Davis |
| ORCID | 0000-0001-7520-046X |
| VERIFIED | Yes |
| TOTAL WORKS | 65 |
| TOTAL CITATIONS | 90 |
| AUTHOR COUNT | 64 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Examination of poverty trajectories and brain volume as predictors of adolescent depression
Adolescence is a sensitive period during which socioeconomic conditions can shape brain development and mental health. To further clarify such pathways, the present study examined how trajectories of different poverty indices across adolescence relate to brain structure and depressive symptomatology. In a sample of 206 Mexican‐origin youth, latent growth curve modeling was used to assess parent‐reported income‐to‐needs and economic hardship measu…
A State Space Model of Daily Dynamics with Moderation Effects from Qualitative Text Data
The last two decades have seen a dramatic increase in using intensive longitudinal data to capture psychological processes. Intensive longitudinal data allow researchers to study intraindividual change and variability. Multiple modeling approaches have been developed to examine these dynamics in a process as it unfolds over time. What is often not considered in these models are factors that can influence the dynamics of the given process. In this…
A Non-Parametric Approach to Modeling Accelerated Longitudinal Designs
Accelerated longitudinal designs (ALDs) offer an efficient means of studying large developmental periods by combining shorter longitudinal samples across overlapping cohorts. ALDs have been used to study processes that span large developmental epochs, such as cognitive development. However, traditional parametric approaches may impose structural assumptions that limit the accurate reconstruction of individual developmental trajectories. We invest…
The current practice of latent growth curve modeling in the social and behavioral sciences: Observations and recommendations
We examine recommendations for three key features of latent growth curve models in the structural equation modeling framework. As a basis for the discussion, we review current practice in the social and behavioral sciences literature as found in 441 reports published in the 19 months beginning in January 2019 and compare our findings to extant recommendations. We then provide suggestions for empirical researchers, reviewing the application of the…
State Space Models with Moderated Effects of Text Data
The use of intensive longitudinal data in psychological research has been important for studying multiple phenomena. Particularly, longitudinal data can capture the trajectory and change in a psych
Using Conditional Entropy Networks of Ordinal Measures to Examine Changes in Self-Worth Among Adolescent Students in High School
We implement an analytic approach for ordinal measures and we use it to investigate the structure and the changes over time of self-worth in a sample of adolescents students in high school. We represent the variations in self-worth and its various sub-domains using entropy-based measures that capture the observed uncertainty. We then study the evolution of the entropy across four time points throughout a semester of high school. Our analytic appr…
Detecting Cohort Effects in Accelerated Longitudinal Designs Using Multilevel Models
Accelerated longitudinal designs allow researchers to efficiently collect longitudinal data covering a time span much longer than the study duration. One important assumption of these designs is that each cohort (a group defined by their age of entry into the study) shares the same longitudinal trajectory. Although previous research has examined the impact of violating this assumption when each cohort is defined by a single age of entry, it is po…
Clustering Analysis of Time Series of Affect in Dyadic Interactions
An important goal when analyzing multivariate time series is the identification of heterogeneity, both within and across individuals over time. This heterogeneity can represent different ways in which psychological processes manifest, either between people or within a person across time. In many instances, those differences can have systematic patterns that can be related to future outcomes. In close relationships, for example, the daily exchange…
Homogeneity Assumptions in the Analysis of Dynamic Processes
With the increased use of time series data in human research, ranging from ecological momentary assessments to data passively obtained, researchers can explore dynamic processes more than ever before. An important question researchers must ask themselves is, do I think all individuals have similar processes? If not, how different, and in what ways? Dr. Peter Molenaar's work set the foundation to answer these questions by providing insight into in…
Mixed-Effects Models with Crossed Random Effects for Multivariate Longitudinal Data
Multivariate models for longitudinal data attempt to examine change in multiple variables as well as their interrelations over time. In this study, we present a Mixed-Effects Model with Crossed Random effects (MEM-CR) for individuals and variables, and compare it with two existing structural equation models for multivariate longitudinal data, namely the Curve-of-Factor-Scores (CUFFS) and the Factor-of-Curve-Scores (FOCUS). We compare these models…
A Dynamic Approach to Control for Cohort Differences in Maturation Speed Using Accelerated Longitudinal Designs
Accelerated longitudinal designs (ALD) allow studying developmental processes usually spanning multiple years in a much shorter time framework by including participants from different age cohorts, which are assumed to share the same population parameters. However, different cohorts may have been exposed to dissimilar contextual factors, resulting in different developmental trajectories. If such differences are not accounted for, the generating pr…
Fitting Bayesian Stochastic Differential Equation Models with Mixed Effects through a Filtering Approach
Recent advances in technology contribute to a fast-growing number of studies utilizing intensive longitudinal data, and call for more flexible methods to address the demands that come with them. One issue that arises from collecting longitudinal data from multiple units in time is nested data, where the variability observed in such data is a mixture of within-unit changes and between-unit differences. This article aims to provide a model-fitting …
Growth mindset as a protective factor for middle schoolers at academic risk
Growth mindset has been shown to predict academic achievement in a variety of student populations, though the strength of the relationship can vary depending on the characteristics of the students examined. Using a large-scale sample of middle school students from a diverse district in the United States, we examine how multiple facets of students’ experiences and background characteristics may interact to impact the relation between mindset and a…
Assessing dynamical associations in dyadic interactions across multiple time scales via a Bayesian hierarchical vector autoregressive model
Human behaviors are complex and composed of changes on multiple time scales. Recent advances in data collection technology contribute to a fast-growing number of studies with rich and intensive longitudinal data, allowing researchers to examine the underlying change processes on the time scale(s) of their choice. Processes unfolding across different time scales can be interrelated in different ways. One way is through reflecting the same underlyi…
Modeling Retest Effects in Developmental Processes Using Latent Change Score Models
Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes over time. One methodological challenge in this type of longitudinal data is separating retest effects, due to the repeated assessments, from developmental processes such as maturation or age. In this article, we describe several specifications of latent change score models using age as the underlying time metr…
Model Selection and Model Averaging for Mixed-Effects Models with Crossed Random Effects for Subjects and Items
A good deal of experimental research is characterized by the presence of random effects on subjects and items. A standard modeling approach that includes such sources of variability is the mixed-effects models (MEMs) with crossed random effects. However, under-parameterizing or over-parameterizing the random structure of MEMs bias the estimations of the Standard Errors (SEs) of fixed effects. In this simulation study, we examined two different bu…
Dynamic Mixture Modeling with dynr
). We illustrate the specification and estimation of dynamic mixture model using "dynr," an R package capable of handling a broad class of linear and nonlinear discrete- and continuous-time models with regime-switching properties
Use of Composites in Analysis of Individual Time Series: Implications for Person-Specific Dynamic Parameters
Psychology has seen an increase in the study of intra-individual processes through time series. Although timely and relevant, modeling variance from unique sources in time series may lead to model non-convergence, making it tempting to reduce the number of parameters in the model. The purpose of this paper was to investigate use of composite scores in analysis of individual time series. To meet this goal, we compared the dynamic factor analysis (…
The Development of Educational Aspirations and Expectations From Adolescence to Young Adulthood: A Longitudinal Study of Mexican-Origin Youth
Mexican-origin youth are at increased risk for school dropout and low educational attainment. High educational aspirations and expectations provide a potential source of resilience, given their association with positive educational outcomes. Using data from a longitudinal study of 674 Mexican-origin youth, we examined the development of educational aspirations ("how far would you like to go in school?") and expectations ("how far do you actually …
Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion
Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts. Latent change score (LCS) models provide a powerful an…
The role of effortful control in the development of ADHD, ODD, and CD symptoms
Many adolescents have difficulty regulating their impulses and become prone to externalizing problems (e.g., attention-deficit/hyperactivity disorder [ADHD], oppositional defiant disorder [ODD], and conduct disorder [CD]) and other adverse consequences. Using multimethod data from a longitudinal study of Mexican-origin youth (N = 674), assessed annually from age 10 to 16, we examined the relations between effortful control and ADHD, ODD, and CD s…
Time-lagged associations between cognitive and cortical development from childhood to early adulthood
Throughout childhood and adolescence, humans experience marked changes in cortical structure and cognitive ability. Cortical thickness and surface area, in particular, have been associated with cognitive ability. Here we ask the question: What are the time-related associations between cognitive changes and cortical structure maturation. Identifying a developmental sequence requires multiple measurements of these variables from the same individual…
Longitudinal Multivariate Psychology
Curve of Factors Model: A Latent Growth Modeling Approach for Educational Research
A first-order latent growth model assesses change in an unobserved construct from a single score and is commonly used across different domains of educational research. However, examining change using a set of multiple response scores (e.g., scale items) affords researchers several methodological benefits not possible when using a single score. A curve of factors (CUFFS) model assesses change in a construct from multiple response scores but its us…
Effects of aggressive temperament on endogenous oxytocin levels in adult titi monkeys
Coordination of oxytocin (OT) activity and partner interactions is important for the facilitation and maintenance of monogamous pair bonds. We used coppery titi monkeys (Callicebus cupreus) to identify the effects of male aggressive temperament on OT activity, affiliative partner-directed behaviors, aggressive partner-directed behaviors, anxiety-related behaviors, and hormone-behavior interactions. We used a mirror technique, simulating an intrud…
Couple Resilience to Economic Pressure Over Time and Across Generations
Research suggests that economic stress disrupts perceived romantic relationship quality, yet less is known regarding the direct influence of economic stress on negative behavioral exchanges between partners over time. Another intriguing question concerns the degree to which effective problem solving might protect against this hypothesized association. To address these issues, the authors studied two generations of couples who were assessed approx…
Longitudinal models of developmental dynamics between reading and cognition from childhood to adolescence
The authors applied linear dynamic models to longitudinal data to examine the dynamics of reading and cognition from 1st to 12th grade. They used longitudinal data (N=445) from the Connecticut Longitudinal Study (S. E. Shaywitz, B. A. Shaywitz, J. M. Fletcher, & M. D. Escobar, 1990) to map the dynamic interrelations of various scales of the Wechsler Intelligence Scales for Children--Revised (i.e., Full, Performance, and Verbal) and specific marke…
Estimating Retest Effects in Longitudinal Assessments of Cognitive Functioning in Adults Between 18 and 60 Years of Age
Several analyses were conducted on data from samples of adults between 18 and 58 years of age who completed the same cognitive tests after an interval ranging from less than 1 week to 35 years. Because the retest interval varied across individuals, it was possible to determine the length of time needed before the gains associated with a retest decreased to 0 and to obtain simultaneous estimates of the magnitude of effects associated with increase…
An Experimental Analysis of Dynamic Hypotheses About Cognitive Abilities and Achievement From Childhood to Early Adulthood
This study examined the dynamics of cognitive abilities and academic achievement from childhood to early adulthood. Predictions about time-dependent "coupling" relations between cognition and achievement based on R. B. Cattell's (1971, 1987) investment hypothesis were evaluated using linear dynamic models applied to longitudinal data (N=672). Contrary to Cattell's hypothesis, a first set of findings indicated that fluid and crystallized abilities…
Bidirectional pathways between relational aggression and temperament from late childhood to adolescence
Risk and Protective Factors for Early Substance Use Initiation: A Longitudinal Study of Mexican‐Origin Youth
Substance use initiation in adolescence is a critical issue, given its association with substance dependency and associated problems in adulthood. However, due to the dearth of fine-grained, longitudinal studies, the factors associated with early initiation are poorly understood, especially in minority youth. The present study examined substance use initiation in a sample of Mexican-origin youth ( N =674) assessed annually from age 10 to 16. Usin…
The development of externalizing symptoms from late childhood through adolescence: A longitudinal study of Mexican-origin youth
Youth who exhibit externalizing problems during childhood and adolescence are at an increased risk for a wide range of detrimental life outcomes. Despite the profound consequences of externalizing problems for children, their families, and their communities, we know less about the precise trajectory of externalizing symptoms across late childhood and adolescence, because of the paucity of fine-grained longitudinal research. The present study exam…
Parents' Optimism, Positive Parenting, and Child Peer Competence in Mexican-Origin Families
Results are consistent with the hypothesis that positive parenting is promoted by parents' optimism and is a proximal driver of child social competence. Parental optimism moderates effects of parenting on child outcomes
Don't hide your happiness! Positive emotion dissociation, social connectedness, and psychological functioning
It is now clear that positive emotion leads to enhanced psychological functioning. What is less clear, however, is just why this is so. Drawing on a social-functional perspective, we argue that positive emotional behavior that accurately signals to others the individual's internal state will enhance social connectedness. Positive emotional behavior that does not accurately signal a person's experience--such as a smile that is not felt--may impede…
Assessing dynamical associations in dyadic interactions across multiple time scales via a Bayesian hierarchical vector autoregressive model
Human behaviors are complex and composed of changes on multiple time scales. Recent advances in data collection technology contribute to a fast-growing number of studies with rich and intensive longitudinal data, allowing researchers to examine the underlying change processes on the time scale(s) of their choice. Processes unfolding across different time scales can be interrelated in different ways. One way is through reflecting the same underlyi…
Developmental Outcomes of School Attachment Among Students of Mexican Origin
We used a longitudinal community study of 674 grade school children (Grades 5, 6, 7, and 8; 337 males, 337 females) of Mexican origin to examine outcomes of school attachment. Attachment to school is important in this population given the high level of school dropout rates of M exican‐origin students. Results indicated that, on average, school attachment from fifth to sixth grade remains stable, but declines from sixth to eighth grade. Boys had l…
The role of effortful control in the development of ADHD, ODD, and CD symptoms
Many adolescents have difficulty regulating their impulses and become prone to externalizing problems (e.g., attention-deficit/hyperactivity disorder [ADHD], oppositional defiant disorder [ODD], and conduct disorder [CD]) and other adverse consequences. Using multimethod data from a longitudinal study of Mexican-origin youth (N = 674), assessed annually from age 10 to 16, we examined the relations between effortful control and ADHD, ODD, and CD s…
Do Hostile School Environments Promote Social Deviance by Shaping Neural Responses to Social Exclusion
The present study examined adolescents' neural responses to social exclusion as a mediator of past exposure to a hostile school environment (HSE) and later social deviance, and whether family connectedness buffered these associations. Participants (166 Mexican-origin adolescents, 54.4% female) reported on their HSE exposure and family connectedness across Grades 9-11. Six months later, neural responses to social exclusion were measured. Finally, …
Identifying atypical change at the individual level from childhood to adolescence
Identifying change at the individual level is an important goal for researchers, educators, and clinicians. We present a set of statistical procedures for identifying individuals who depart from a normative change. Using Latent Change Scores models (LCS), we illustrate how the Individual Likelihood computed from a statistical model for change (IL) and from an alternative unrestricted model (ILsat) can be used to identify atypical trajectories in …
Alternative Structural Models for Multivariate Longitudinal Data Analysis
Structural equation models are presented as alternative models for examining longitudinal data. The models include (a) a cross-lagged regression model, (b) a factor model based on latent growth curves, and (c) a dynamic model based on latent difference scores. The illustrative data are on motivation and perceived competence of students during their first semester in high school. The 3 models yielded different results and such differences were dis…
Modeling Affective Processes in Dyadic Relations via Dynamic Factor Analysis
An intraindividual variability design, including application of dynamic factor models, was used to examine the affective processes of a husband-wife dyad over 182 consecutive days. Structural equation analyses indicated differences in the affective structure between the husband and the wife, and these differences were characterized in terms of their factorial configuration and temporal organization. Examination of the dyad's affective dynamics re…
An Experimental Analysis of Dynamic Hypotheses About Cognitive Abilities and Achievement From Childhood to Early Adulthood
This study examined the dynamics of cognitive abilities and academic achievement from childhood to early adulthood. Predictions about time-dependent "coupling" relations between cognition and achievement based on R. B. Cattell's (1971, 1987) investment hypothesis were evaluated using linear dynamic models applied to longitudinal data (N=672). Contrary to Cattell's hypothesis, a first set of findings indicated that fluid and crystallized abilities…
Estimating Retest Effects in Longitudinal Assessments of Cognitive Functioning in Adults Between 18 and 60 Years of Age
Several analyses were conducted on data from samples of adults between 18 and 58 years of age who completed the same cognitive tests after an interval ranging from less than 1 week to 35 years. Because the retest interval varied across individuals, it was possible to determine the length of time needed before the gains associated with a retest decreased to 0 and to obtain simultaneous estimates of the magnitude of effects associated with increase…
The structure and process of emotional experience following nonmarital relationship dissolution: Dynamic factor analyses of love, anger, and sadness
Dynamic factor analysis was used to examine the structure and process of daily emotions in a sample of young adults following a romantic breakup. Participants completed a daily diary for 4 weeks reporting on their love/longing for their ex-partner, anger, and sadness. Using a lag-1 process factor analysis model, results revealed that love/longing, sadness, and anger could be reliably distinguished as separate but correlated mood states in a triva…
An Unscented Kalman Filter Approach to the Estimation of Nonlinear Dynamical Systems Models
In the past several decades, methodologies used to estimate nonlinear relationships among latent variables have been developed almost exclusively to fit cross-sectional models. We present a relatively new estimation approach, the unscented Kalman filter (UKF), and illustrate its potential as a tool for fitting nonlinear dynamic models in two ways: (1) as a building block for approximating the log-likelihood of nonlinear state-space models and (2)…
Longitudinal models of developmental dynamics between reading and cognition from childhood to adolescence
The authors applied linear dynamic models to longitudinal data to examine the dynamics of reading and cognition from 1st to 12th grade. They used longitudinal data (N=445) from the Connecticut Longitudinal Study (S. E. Shaywitz, B. A. Shaywitz, J. M. Fletcher, & M. D. Escobar, 1990) to map the dynamic interrelations of various scales of the Wechsler Intelligence Scales for Children--Revised (i.e., Full, Performance, and Verbal) and specific marke…
Intensive Meditation Training Improves Perceptual Discrimination and Sustained Attention
The ability to focus one’s attention underlies success in many everyday tasks, but voluntary attention cannot be sustained for extended periods of time. In the laboratory, sustained-attention failure is manifest as a decline in perceptual sensitivity with increasing time on task, known as the vigilance decrement. We investigated improvements in sustained attention with training (~5 hr/day for 3 months), which consisted of meditation practice that…
Factorial Invariance Within Longitudinal Structural Equation Models: Measuring the Same Construct Across Time
Charting change in behavior as a function of age and investigating longitudinal relations among constructs are primary goals of developmental research. Traditionally, researchers rely on a single measure (e.g., scale score) for a given construct for each person at each occasion of measurement, assuming that measure reflects the same construct at each occasion. With multiple indicators of a latent construct at each time of measurement, the researc…
Attachment insecurities and interpersonal processes in Spanish couples: A dyadic approach
Several attachment‐related phenomena in Spanish couples using dyadic‐level analyses were examined. A sample of 295 heterosexual couples completed measures of attachment‐related anxiety and avoidance, self‐esteem, social self‐efficacy, and relationship satisfaction. Results, analyzed from a dyadic perspective using the actor–partner interdependence model (APIM), indicate that (a) there are actor but no partner effects of attachment insecurities on…
Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes
We examine emotion self-regulation and coregulation in romantic couples using daily self-reports of positive and negative affect. We fit these data using a damped linear oscillator model specified as a latent differential equation to investigate affect dynamics at the individual level and coupled influences for the 2 partners in each couple. Results indicate an absence of damping of relationship-specific affect within individuals in the sample. W…
Response to Oud & Folmer: Randomness and Residuals
This article presents our response to Oud and Folmer's "Modeling Oscillation, Approximately or Exactly?" (2011), which criticizes aspects of our article, "Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes" (2011). In this response, we present a conceptual explanation of the derivative-based estimation that we implemented in our original article, as well as the exact discrete model promoted by Oud & Folm…
Assessing cross-partner associations in physiological responses via coupled oscillator models
A host of theoretical frameworks suggest associations of physiological signals between two individuals within a romantic relationship. However, few studies have provided empirical evidence of such associations using physiological reactivity from both partners in the dyad. In this study we use measures of respiration and heart rate from romantic partners recorded across three laboratory tasks. We examine the interrelations of each measure between …
Enhanced response inhibition during intensive meditation training predicts improvements in self-reported adaptive socioemotional functioning
We examined the impact of training-induced improvements in self-regulation, operationalized in terms of response inhibition, on longitudinal changes in self-reported adaptive socioemotional functioning. Data were collected from participants undergoing 3 months of intensive meditation training in an isolated retreat setting (Retreat 1) and a wait-list control group that later underwent identical training (Retreat 2). A 32-min response inhibition t…
Don't hide your happiness! Positive emotion dissociation, social connectedness, and psychological functioning
It is now clear that positive emotion leads to enhanced psychological functioning. What is less clear, however, is just why this is so. Drawing on a social-functional perspective, we argue that positive emotional behavior that accurately signals to others the individual's internal state will enhance social connectedness. Positive emotional behavior that does not accurately signal a person's experience--such as a smile that is not felt--may impede…
Bayesian Estimation of Random Coefficient Dynamic Factor Models
Dynamic factor models (DFMs) have typically been applied to multivariate time series data collected from a single unit of study, such as a single individual or dyad. The goal of DFMs application is to capture dynamics of multivariate systems. When multiple units are available, however, DFMs are not suited to capture variations in dynamics across units. The aims of this study are (a) to propose a random coefficient DFM (RC-DFM) to statistically mo…
Analyzing the Dynamics of Affective Dyadic Interactions Using Patterns of Intra- and Interindividual Variability
There are many compelling accounts of the ways in which the emotions of 1 member of a romantic relationship should influence and be influenced by the partner. However, there are relatively few methodological tools available for representing the alleged complexity of dyad level emotional experiences. In this article, we present an algorithm for examining such affective dynamics based on patterns of variability. The algorithm identifies periods of …
Comparison of Nomothetic Versus Idiographic-Oriented Methods for Making Predictions About Distal Outcomes From Time Series Data
We illustrate the idiographic/nomothetic debate by comparing 3 approaches to using daily self-report data on affect for predicting relationship quality and breakup. The 3 approaches included (a) the first day in the series of daily data; (b) the mean and variability of the daily series; and (c) parameters from dynamic factor analysis, a statistical model that uses all measurement occasions to estimate the structure and dynamics of the data. Our r…
Parents' Optimism, Positive Parenting, and Child Peer Competence in Mexican-Origin Families
Results are consistent with the hypothesis that positive parenting is promoted by parents' optimism and is a proximal driver of child social competence. Parental optimism moderates effects of parenting on child outcomes
Individual Pooling for Group-Based Modeling Under the Assumption of Ergodicity
Psychology principally utilizes nomothetic, interindividual approaches to model phenomena of interest. However, it is the case that these approaches do not always capture the processes for each individual in the sample. If the research is focused on individual processes, confining analysis to the idiographic level may be more appropriate. One way to overcome the nomothetic inability to capture idiographic processes is to identify those participan…
Coregulation of respiratory sinus arrhythmia in adult romantic partners
Questions surrounding physiological interdependence in romantic relationships are gaining increased attention in the research literature. One specific form of interdependence, coregulation, can be defined as the bidirectional linkage of oscillating signals within optimal bounds. Conceptual and theoretical work suggests that physiological coregulation should be instantiated in romantic couples. Although these ideas are appealing, the central tenet…
Longitudinal Analyses of Sexual Development through Early Adulthood
Modeling Nonstationary Emotion Dynamics in Dyads Using a Semiparametric Time-Varying Vector Autoregressive Model
"Modeling Nonstationary Emotion Dynamics in Dyads Using a Semiparametric Time-Varying Vector Autoregressive Model." Multivariate Behavioral Research, 50(6), pp. 730–731
Intensive meditation training influences emotional responses to suffering
Meditation practices purportedly help people develop focused and sustained attention, cultivate feelings of compassionate concern for self and others, and strengthen motivation to help others who are in need. We examined the impact of 3 months of intensive meditative training on emotional responses to scenes of human suffering. Sixty participants were assigned randomly to either a 3-month intensive meditation retreat or a wait-list control group.…
Developmental Outcomes of School Attachment Among Students of Mexican Origin
We used a longitudinal community study of 674 grade school children (Grades 5, 6, 7, and 8; 337 males, 337 females) of Mexican origin to examine outcomes of school attachment. Attachment to school is important in this population given the high level of school dropout rates of M exican‐origin students. Results indicated that, on average, school attachment from fifth to sixth grade remains stable, but declines from sixth to eighth grade. Boys had l…
Psychology (50 works) · Developmental psychology (35 works) · Mathematics (32 works) · Statistics (32 works) · Computer Science (27 works) · Mental Health Research Topics (26 works) · Social Psychology (25 works) · Econometrics (24 works) · Structural equation modeling (13 works) · Child and Adolescent Psychosocial and Emotional Development (11 works)