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Loken, Eric – Structural Equation Modeling: A Multidisciplinary Journal, 2005
The choice of constraints used to identify a simple factor model can affect the shape of the likelihood. Specifically, under some nonzero constraints, standard errors may be inestimable even at the maximum likelihood estimate (MLE). For a broader class of nonzero constraints, symmetric normal approximations to the modal region may not be…
Descriptors: Inferences, Computation, Structural Equation Models, Factor Analysis

Hayes, Steven C.; Strosahl, Kirk; Wilson, Kelly G.; Bissett, Richard T.; Pistorello, Jacqueline; Toarmino, Dosheen; Polusny, Melissa A.; Dykstra, Thane A.; Batten, Sonja V.; Bergan, John; Stewart, Sherry H.; Zvolensky, Michael J.; Eifert, Georg H.; Bond, Frank W.; Forsyth, John P.; Karekla, Maria; Mccurry, Susan M. – Psychological Record, 2004
The present study describes the development of a short, general measure of experiential avoidance, based on a specific theoretical approach to this process. A theoretically driven iterative exploratory analysis using structural equation modeling on data from a clinical sample yielded a single factor comprising 9 items. A fully confirmatory factor…
Descriptors: Psychopathology, Structural Equation Models, Quality of Life, Factor Analysis
Hammen, Constance; Shih, Josephine H.; Brennan, Patricia A. – Journal of Consulting and Clinical Psychology, 2004
An interpersonal stress model of depression transmission was tested in a community sample of nearly 800 depressed and never-depressed women and their 15-year-old children. It was hypothesized that maternal depression (and depression in the maternal grandmother) contributed to chronic interpersonal stress in the mothers, affecting quality of…
Descriptors: Interpersonal Competence, Structural Equation Models, Depression (Psychology), Mothers
Wei, Meifen; Mallinckrodt, Brent; Russell, Daniel W.; Abraham, W. Todd – Journal of Counseling Psychology, 2004
This study examined maladaptive perfectionism (concern over mistakes, doubts about one's ability to accomplish tasks, and failure to meet high standards) as both a mediator and a moderator between adult attachment (anxiety and avoidance) and depressive mood (depression and hopelessness). Survey data were collected from 310 undergraduates and…
Descriptors: Structural Equation Models, Anxiety, Depression (Psychology), Attachment Behavior
Xie, Jun; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Covariance structure models are applied to gene expression data using a factor model, a path model, and their combination. The factor model is based on a few factors that capture most of the expression information. A common factor of a group of genes may represent a common protein factor for the transcript of the co-expressed genes, and hence, it…
Descriptors: Path Analysis, Genetics, Structural Equation Models, Factor Analysis

Nieboer, Anna; Lindenberg, Siegwart; Boomsma, Anne; Van Bruggen, Alinda C. – Social Indicators Research, 2005
What are the dimensions of well-being? That is, what universal goals need to be realized by individuals in order to enhance their well-being? Social production function (SPF) theory asserts that the universal goals affection, behavioral confirmation, status, comfort and stimulation are the relevant dimensions of subjective well-being. Realization…
Descriptors: Test Validity, Well Being, Evaluation Methods, Measurement Techniques
Thompson, Elaine Adams; Mazza, James J.; Herting, Jerald R.; Randell, Brooke P.; Eggert, Leona L. – Suicide and Life-Threatening Behavior, 2005
The purpose of this study was to explore the roles of anxiety, depression, and hopelessness as mediators between known risk factors and suicidal behaviors among 1,287 potential high school dropouts. As a step toward theory development, a model was tested that posited the relationships among these variables and their effects on suicidal behaviors.…
Descriptors: Females, Dropouts, Structural Equation Models, Risk
Ferrer, Emilio; Hamagami, Fumiaki; McArdle, John J. – Structural Equation Modeling, 2004
This article offers different examples of how to fit latent growth curve (LGC) models to longitudinal data using a variety of different software programs (i.e., LISREL, Mx, Mplus, AMOS, SAS). The article shows how the same model can be fitted using both structural equation modeling and multilevel software, with nearly identical results, even in…
Descriptors: Computer Software, Structural Equation Models, Longitudinal Studies, Data Analysis
Hox, Joop; Lensvelt-Mulders, Gerty – Structural Equation Modeling, 2004
This article describes a technique to analyze randomized response data using available structural equation modeling (SEM) software. The randomized response technique was developed to obtain estimates that are more valid when studying sensitive topics. The basic feature of all randomized response methods is that the data are deliberately…
Descriptors: Structural Equation Models, Item Response Theory, Evaluation Research, Evaluation Methods
Jeffrey Hill, E.; Yang, Chongming; Hawkins, Alan J.; Ferris, Maria – Journal of Marriage and Family, 2004
This study tests a cross-cultural model of the work-family interface. Using multigroup structural equation modeling with IBM survey responses from 48 countries (N= 25,380), results show that the same work-family interface model that fits the data globally also fits the data in a four-group model composed of culturally related groups of countries,…
Descriptors: Job Satisfaction, Role Conflict, Structural Equation Models, Family Work Relationship
Matthews, Lisa S.; Conger, Rand D. – Journal of Research on Adolescence, 2004
Scholars have suggested that family life may influence children's attributions about close relationships. Using a sample of 369 two-parent families with 2 children (a target adolescent in the 8th grade and a sibling aged 10 to 18), we investigated whether the sibling's negative attributions regarding the target adolescent were associated with…
Descriptors: Grade 8, Structural Equation Models, Siblings, Family Life
Friedman, Naomi P.; Miyake, Akira – Journal of Experimental Psychology: General, 2004
This study used data from 220 adults to examine the relations among 3 inhibition-related functions. Confirmatory factor analysis suggested that Prepotent Response Inhibition and Resistance to Distractor Interference were closely related, but both were unrelated to Resistance to Proactive Interference. Structural equation modeling, which combined…
Descriptors: Structural Equation Models, Inhibition, Factor Analysis, Resistance (Psychology)
Hughes, Honore M.; Humphrey, Natalie N.; Weaver, Terri L. – Journal of Interpersonal Violence, 2005
The most important things learned about violence and trauma in the past 20 years are that interpersonal violence is prevalent, with different forms co-occurring, and that victims' reactions are complex. Researchers are called to consider models that include the ecological context within which victims experience violence and trauma to gain a better…
Descriptors: Multivariate Analysis, Data Analysis, Family Violence, Structural Equation Models
Pfau, Michael; Compton, Joshua; Parker, Kimberly A.; Wittenberg, Elaine M.; An, Chasu; Ferguson, Monica; Horton, Heather; Malyshev, Yuri – Human Communication Research, 2004
This investigation compared the traditional explanation for the way inoculation confers resistance to influence with an alternative rationale for resistance based on attitude accessibility. Four hundred forty-three participants took part in the investigation in four phases spanning 54 days. The combined multiple regression and structural equation…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Attitudes, Resistance (Psychology)
Maximum Likelihood Analysis of a Two-Level Nonlinear Structural Equation Model with Fixed Covariates
Lee, Sik-Yum; Song, Xin-Yuan – Journal of Educational and Behavioral Statistics, 2005
In this article, a maximum likelihood (ML) approach for analyzing a rather general two-level structural equation model is developed for hierarchically structured data that are very common in educational and/or behavioral research. The proposed two-level model can accommodate nonlinear causal relations among latent variables as well as effects…
Descriptors: Mathematics, Sampling, Structural Equation Models, Bayesian Statistics