Growth curve models for indistinguishable dyads using multilevel modeling and structural equation modeling: The case of adolescent twins' conflict with their mothers.

Growth modeling is a useful tool for studying change over time, and it is becoming increasingly popular with developmental researchers. There is a considerable methodological literature surrounding growth modeling for individuals; however, far less attention has been focused on growth models for pairs of related individuals (i.e., dyads). In this article, the authors consider dyadic growth models for those cases where there are no relevant variables that can empirically distinguish between dyad members (e.g., same-sex twins or best friends). The authors describe how researchers can estimate growth models for indistinguishable dyads using both multilevel modeling and structural equation modeling. Although both approaches can be used to estimate the same underlying models, the authors focus on practical similarities and differences between the two approaches. They illustrate modeling issues using an overtime study of adolescent twins' conflict with their mothers, a substantively important topic given the enduring interest in parent-child relationships during adolescence. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Where is the relationship in research on the alliance? Two methods for analyzing dyadic data.

Researchers examining the therapy relationship are encouraged "to study both patients' and therapists' contribution to the relationship and the ways in which these contributions combine to impact treatment outcome" (Steering Committee, 2002, p. 443). Research on the therapeutic alliance, however, is dominated by studies that examine the individual contributions of the counselor and client. Relationship researchers have developed alternative ways to analyze dyadic data that do take into account the relationship. One alternative paradigm is to model the interdependence in dyadic alliance data with the Actor-Partner Interdependence Model (APIM; D. A. Kashy & D. A. Kenny, 2000). The APIM examines interdependence by modeling the impact of 1 dyad member's alliance ratings on the other member's session impact rating. APIM can also examine how alliance agreement interacts with alliance ratings to predict session impact. The other alternative paradigm is to use the latent group model (R. Gonzalez & D. Griffin, 2002) to examine the individual-level and dyad-level covariance in alliance and session impact ratings. The APIM and latent group models are illustrated with alliance and session impact measures from 53 client-counselor dyads. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Analyzing data from experimental studies: A latent variable structural equation modeling approach.

This article illustrates the use of structural equation modeling (SEM) procedures with latent variables to analyze data from experimental studies. These procedures allow the researcher to remove the biasing effects of random and correlated measurement error on the outcomes of the experiment and to examine processes that may account for changes in the outcome variables that are observed. Analyses of data from a Project Family study, an experimental intervention project with rural families that strives to improve parenting skills, are presented to illustrate the use of these modeling procedures. Issues that arise in applying SEM procedures, such as sample size and distributional characteristics of the measures, are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Executive function in older adults: A structural equation modeling approach.

Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to study the organization of executive functions in older adults. The four primary goals were to examine (a) whether executive functions were supported by one versus multiple underlying factors, (b) which underlying skill(s) predicted performance on complex executive function tasks, (c) whether performance on analogous verbal and nonverbal tasks was supported by separable underlying skills, and (d) how patterns of performance generally compared with those of young adults. A sample of 100 older adults completed 10 tasks, each designed to engage one of three control processes: mental set shifting (Shifting), information updating or monitoring (Updating), and inhibition of prepotent responses (Inhibition). CFA identified robust Shifting and Updating factors, but the Inhibition factor failed to emerge, and there was no evidence for verbal and nonverbal factors. SEM showed that Updating was the best predictor of performance on each of the complex tasks the authors assessed (the Tower of Hanoi and the Wisconsin Card Sort). Results are discussed in terms of insight for theories of cognitive aging and executive function. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Mechanisms linking socioeconomic status to smoking cessation: A structural equation modeling approach.

Objective: Although there has been a socioeconomic gradient in smoking prevalence, cessation, and disease burden for decades, these disparities have become even more pronounced over time. The aim of the current study was to develop and test a conceptual model of the mechanisms linking socioeconomic status (SES) to smoking cessation. Design: The conceptual model was evaluated using a latent variable modeling approach in a sample of 424 smokers seeking treatment (34% African American; 33% Latino; 33% White). Hypothesized mechanisms included social support, neighborhood disadvantage, negative affect/stress, agency, and craving. Main Outcome Measure: The primary outcome was Week 4 smoking status. Results: As was hypothesized, SES had significant direct and indirect effects on cessation. Specifically, neighborhood disadvantage, social support, negative affect/stress, and agency mediated the relation between SES and smoking cessation. A multiple group analysis indicated that the model was a good fit across racial/ethnic groups. Conclusion: The present study yielded one of the more comprehensive models illuminating the specific mechanisms that link SES and smoking cessation. Policy, community, and individual-level interventions that target low SES smokers and address the specific pathways identified in the current model could potentially attenuate the impact of SES on cessation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Estimating, testing, and comparing specific effects in structural equation models: The phantom model approach.

The phantom model approach for estimating, testing, and comparing specific effects within structural equation models (SEMs) is presented. The rationale underlying this novel method consists in representing the specific effect to be assessed as a total effect within a separate latent variable model, the phantom model that is added to the main model. The following favorable features characterize the method: (a) It enables the estimation, testing, and comparison of arbitrary specific effects for recursive and nonrecursive models with latent and manifest variables; (b) it enables the bootstrapping of confidence intervals; and (c) it can be applied with all standard SEM programs permitting latent variables, the specification of equality constraints, and the bootstrapping of total effects. These features along with the fact that no manipulation of matrices and formulas is required make the approach particularly suitable for applied researchers. The method is illustrated by means of 3 examples with real data sets. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Perceived coping as a mediator between attachment and psychological distress: A structural equation modeling approach.

This study examined perceived coping (perceived problem-solving ability and progress in coping with problems) as a mediator between adult attachment (anxiety and avoidance) and psychological distress (depression, hopelessness, anxiety, anger, and interpersonal problems). Survey data from 515 undergraduate students were analyzed using structural equation modeling. Results indicated that perceived coping fully mediated the relationship between attachment anxiety and psychological distress and partially mediated the relationship between attachment avoidance and psychological distress. These findings suggest not only that it is important to consider attachment anxiety or avoidance in understanding distress but also that perceived coping plays an important role in these relationships. Implications for these more complex relations are discussed for both counseling interventions and further research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A new look at the big five factor structure through exploratory structural equation modeling.

NEO instruments are widely used to assess Big Five personality factors, but confirmatory factor analyses (CFAs) conducted at the item level do not support their a priori structure due, in part, to the overly restrictive CFA assumptions. We demonstrate that exploratory structural equation modeling (ESEM), an integration of CFA and exploratory factor analysis (EFA), overcomes these problems with responses (N = 3,390) to the 60-item NEO–Five-Factor Inventory: (a) ESEM fits the data better and results in substantially more differentiated (less correlated) factors than does CFA; (b) tests of gender invariance with the 13-model ESEM taxonomy of full measurement invariance of factor loadings, factor variances–covariances, item uniquenesses, correlated uniquenesses, item intercepts, differential item functioning, and latent means show that women score higher on all NEO Big Five factors; (c) longitudinal analyses support measurement invariance over time and the maturity principle (decreases in Neuroticism and increases in Agreeableness, Openness, and Conscientiousness). Using ESEM, we addressed substantively important questions with broad applicability to personality research that could not be appropriately addressed with the traditional approaches of either EFA or CFA. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A multi-model approach: Looking at clinical data from three theoretical perspectives.

This article introduces a multi-model approach--an approach that looks at clinical data using three theoretical models or perspectives. These are the Freudian drive-defense conflict model, a self-psychological perspective, and an object relations perspective. I contrast this approach with that of Greenberg and Mitchell (1983) in their book, Object Relations in Psychoanalysis. These authors divided theoretical models into two broad categories--Freud's conflict model is one, and the second is a relational model fathered by Fairbairn (1952) and Sullivan (1940). Greenberg and Mitchell maintain that one needs to adhere to either one perspective or the other and that mixing the two is untenable. I argue against this position and provide research data to support my contention that a mixed model approach is more appropriate. Finally, I present a clinical vignette to demonstrate the usefulness of a multi-model approach. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The mediating effects of job satisfaction and propensity to leave on role stress-job performance relationships: Combining meta-analysis and structural equation modeling.

This article combines meta-analysis with structural equation modeling to compare alternative models of the relationships among work stress, psychological mediators, and job performance. Specifically, the authors examined the mediating effects of job satisfaction and propensity to leave and their effect on the relationships between role ambiguity, role conflict, and job performance. The meta-analysis included both published and unpublished studies conducted over a period of 25 years, resulting in 113 independent samples with more than 22,000 individuals. As hypothesized, the structural model that best fit the meta-analytic estimates was the partial mediation model, in which stress is related to job performance both directly and indirectly through job satisfaction and propensity to leave and in which all path coefficients were reliably different from zero. The results are discussed in terms of theoretical contributions and implications for future stress-performance research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Investigating the academic achievement of adolescents with learning disabilities: A structural modeling approach.

Although academic performance is a primary component of the federal definition of learning disabilities (LD), there have been few investigations of factors that influence academic growth among adolescents with LD. The focus of the present study is parental attitudes, their effects on adolescents with and without LD and on the academic achievement of those students. The estimated model accounted for 72% and 74% of the variance in academic achievement for the groups of students with and without LD, respectively. The findings support the position that parental expectations and perceptions of parental expectations are instrumental in raising the academic expectations and the achievement of adolescents with and without LD. The comparison between the students with and without LD showed that the most important factors were the same for both groups, suggesting the model worked in the same way for the two populations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Hierarchical modeling of sequential behavioral data: Examining complex association patterns in mediation models.

This article presents new methods for modeling the strength of association between multiple behaviors in a behavioral sequence, particularly those involving substantively important interaction patterns. Modeling and identifying such interaction patterns becomes more complex when behaviors are assigned to more than two categories, as is the case for most observational research. The authors propose multilevel empirical Bayes methods to overcome the challenges inherent in such data. Furthermore, these methods allow the study of how variation in interaction patterns can mediate the effects of antecedents or intervention on distal outcomes. New procedures are developed to compare alternative mediation models and pinpoint which random effects operate as mediators. These models are then applied to observational data taken from a study of the behavioral interactions of 254 couples. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Analysis of interaction terms in structural equation models: A non-technical demonstration using the deviation score approach.

One of the major shortcomings in using structural equation modeling (SEM) data analytic techniques has been the difficulty in handling interaction terms in the modeling process. The issue is that interaction terms that are created by cross-multiplying raw scores result in the matrix of covariances or correlations being singular (there is at least 1 linear dependency in the matrix). The data analyses will not proceed as the matrix is not positive definite. This paper shows a valid and easy way to cope with the problem of interaction terms by using deviation scores or centred variables as the interaction terms. The authors expand on the work of L. S. Aiken and S. G. West (1991), which discussed interaction effects within a multiple regression framework, by taking it into the SEM domain for the benefit of users of SEM programs. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Inference in regression models of heavily skewed alcohol use data: A comparison of ordinary least squares, generalized linear models, and bootstrap resampling.

Analysis of alcohol use data and other low base rate risk behaviors using ordinary least squares regression models can be problematic. This article presents 2 alternative statistical approaches, generalized linear models and bootstrapping, that may be more appropriate for such data. First, the basic theory behind the approaches is presented. Then, using a data set of alcohol use behaviors and consequences, results based on these approaches are contrasted with the results from ordinary least squares regression. The less traditional approaches consistently demonstrated better fit with model assumptions, as demonstrated by graphical analysis of residuals, and identified more significant variables potentially resulting in theoretically different interpretations of the models of alcohol use. In conclusion, these models show significant promise for furthering the understanding of alcohol-related behaviors. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Putting the Partner Within Reach: A Dyadic Perspective on Felt Security in Close Relationships.

The authors argue that felt insecurity in a partner's positive regard and caring stems from a specifically dyadic perception--the perception that a partner is out of one's league. A cross-sectional sample of dating couples revealed that people with low self-esteem feel inferior to their partner and that such feelings of relative inferiority undermine felt security in the partner's regard. Three experiments examined the consequences of reducing such perceived discrepancies by pointing to either strengths in the self or flaws in the partner. Low, but not high, self-esteem participants reacted to new strengths in the self or faults in the partner by reporting greater felt security in their specific partner's positive regard and commitment and more positive, general feelings about their own interpersonal worth. Thus, putting the partner more within the psychological grasp of low self-esteem people may effectively increase felt security in the partner's regard. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Adjustment to a dyadic stressor: A longitudinal study of coping and depressive symptoms in infertile couples over an insemination attempt.

In a study designed to examine how intimate partners' coping processes with regard to infertility predicted depressive symptoms across the course of a treatment cycle, 43 couples completed assessments in the week prior to and the week after receiving a negative pregnancy result from an alternate insemination attempt by the partner. Depressive symptoms in both partners increased significantly after the pregnancy result receipt. As hypothesized, avoidant coping predicted increased distress over time, and approach-oriented coping (e.g., problem-focused coping, emotional processing, and expression) predicted decreased distress. Coping strategies engaged in by both individuals and partners predicted depressive symptoms, and for women, interactions also emerged between their own and their partners' coping. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Predicting relationship and life satisfaction from personality in nationally representative samples from three countries: The relative importance of actor, partner, and similarity effects.

Three very large, nationally representative samples of married couples were used to examine the relative importance of 3 types of personality effects on relationship and life satisfaction: actor effects, partner effects, and similarity effects. Using data sets from Australia (N = 5,278), the United Kingdom (N = 6,554), and Germany (N = 11,418) provided an opportunity to test whether effects replicated across samples. Actor effects accounted for approximately 6% of the variance in relationship satisfaction and between 10% and 15% of the variance in life satisfaction. Partner effects (which were largest for Agreeableness, Conscientiousness, and Emotional Stability) accounted for between 1% and 3% of the variance in relationship satisfaction and between 1% and 2% of the variance in life satisfaction. Couple similarity consistently explained less than .5% of the variance in life and relationship satisfaction after controlling for actor and partner effects. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

When constraints interact: A caution about reference variables, identification constraints and scale dependencies in structural equation modeling.

In traditional approaches to structural equations modeling, variances of latent endogenous variables cannot be specified or constrained directly and, consequently, are not identified, unless certain precautions are taken. The usual method for achieving identification has been to fix one factor loading for each endogenous latent variable at unity. An alternative approach is to fix variances using newer constrained estimation algorithms. This article examines the philosophy behind such constraints and shows how their appropriate use is neither as straightforward nor as noncontroversial as portrayed in textbooks and computer manuals. The constraints on latent variable variances can interact with other model constraints to interfere with the testing of certain kinds of hypotheses and can yield incorrect standardized solutions with some popular software. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Personality, self-estimated intelligence, and uses of music: A Spanish replication and extension using structural equation modeling.

This study replicates and extends a recent study on personality, intelligence and uses of music [Chamorro-Premuzic, T., & Furnham, A. (2007). Personality and music: Can traits explain how people use music in everyday life? British Journal of Psychology, 98, 175–185] using Spanish participants and structural equation modeling. Data from 245 university students showed that, in line with our hypotheses, individuals higher in Neuroticism were more likely to use music for emotional regulation (influencing their mood states), those higher in Extraversion were more likely to use music as background to other activities, and those higher in Openness were more likely to experience music in a cognitive or intellectual way. As predicted, self-estimates of intelligence were also linked to cognitive use of music, though not when individual differences were considered. On other hand, contrasting with initial predictions, Extraversion was positively rather than negatively linked to emotional use of music. Small incremental effects of gender (over personality) were also found on the emotional use of music. Results are discussed in regards to previous findings on personality traits as determinants of uses of music. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Construct validity of the multidimensional structure of bullying and victimization: An application of exploratory structural equation modeling.

Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract from their discriminant validity and substantive usefulness in school settings. Here we demonstrate exploratory structural equation modeling, an integration of confirmatory factor analysis and exploratory factor analysis. On the basis of responses to the 6-factor Adolescent Peer Relations Instrument (verbal, social, physical facets of bullying and victimization), we tested invariance of factor loadings, factor variances–covariances, item uniquenesses, item intercepts (a lack of differential item functioning), and latent means across gender, year in school, and time. Using a combination of relations with student characteristics and a multitrait–multimethod analysis, we showed that the 6 bully/victim factors have discriminant validity over time and in relation to gender, year in school, and relevant psychosocial correlates (e.g., depression, 11 components of academic and nonacademic self-concept, locus of control, attitudes toward bullies and victims). However, bullies and victims are similar in many ways, and longitudinal panel models of the positive correlations between bully and victim factors suggest reciprocal effects such that each is a cause and an effect of the other. (PsycINFO Database Record (c) 2011 APA, all rights reserved)