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Latent Factors (latent + factor)

Distribution by Scientific Domains

Psychology	38%
Medical Sciences	33%
Business, Economics, Finance and Accounting	11%

Selected Abstracts

Longitudinal Studies of Anger and Attention Span: Context and Informant Effects

JOURNAL OF PERSONALITY, Issue 2 2010
Jungmeen Kim
ABSTRACT This study examined stabilities of informant and context (home vs. classroom) latent factors regarding anger and attention. Participants included children from the National Institute of Child Health and Development Study of Early Child Care and Youth Development who were measured at 54 months, first grade, and third grade. Latent factors of anger and attention span were structured using different indicators based on mothers', fathers', caregivers', teachers', and observers' reports. We used structural equation modeling to examine the autoregressive effects within a context (stability), the concurrent associations between home and classroom contexts, and informant effects. The results indicated that for both anger and attention (1) there were significant informant effects that influenced stability in a context, (2) there was higher stability in home context than nonhome context, and (3) stability within a context increased over time. The findings suggested that anger was more prone to context effects and informant effects than attention. [source]

Electrocardiographic Indices of Left Ventricular Hypertrophy and Repolarization Phase Share the Same Genetic Influences: A Twin Study

ANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 4 2009
Sara Mutikainen M.Sc.
Background: Both left ventricular hypertrophy (LVH) and repolarization phase (RP) are known to be attributable to genetic influences, but less is known whether they share same genetic influences. The aim of this study was to investigate to what extent individual differences in electrocardiographic (ECG) LVH and RP are explained by genetic and environmental influences and whether these influences are shared between these two traits. Methods: Resting ECG recordings were obtained from 186 monozygotic and 203 dizygotic female twin individuals, aged 63 to 76 years. Latent factors, called LVH and RP, were formed to condense the information obtained from LVH indices (Cornell voltage and Cornell product) and T-wave amplitudes (leads V5 and II), respectively. Multivariate quantitative genetic modeling was used both to decompose the phenotypic variances into additive genetic, common environmental, and unique environmental influences, and for the calculation of genetic and environmental correlations between LVH and RP. Results: Additive genetic influences explained 16% of individual differences in LVH and 74% in RP. The remaining individual differences were explained by both common and unique environmental influences. The genetic correlation and unique environmental correlation between LVH and RP were ,0.93 and ,0.05, respectively. Conclusions: In older women without overt cardiac diseases, RP is under stronger genetic control than LVH. The majority of genetic influences are shared between LVH and RP whereas environmental influences are mainly specific to each. [source]

Association of tobacco dependence and quit attempt duration with Rasch-modeled withdrawal sensitivity using retrospective measures

ADDICTION, Issue 6 2009
Harold S. Javitz
ABSTRACT Aim To examine whether Rasch modeling would yield a unidimensional withdrawal sensitivity measure correlating with factors associated with successful smoking cessation. Design The psychometric Rasch modeling approach was applied to estimate an underlying latent construct (withdrawal sensitivity) in retrospective responses from 1644 smokers who reported quitting for 3 or more months at least once. Setting Web-based, passcode-controlled self-administered computerized questionnaire. Participants Randomly selected convenience sample of 1644 adult members of an e-mail invitation-only web panel drawn from consumer databases. Measurements Lifetime Tobacco Use Questionnaire, assessing tobacco use across the life-span, including demographics and respondent ratings of the severity of withdrawal symptoms experienced in respondents' first and most recent quit attempts lasting 3 or more months. Findings Rasch-modeled withdrawal sensitivity was generally unidimensional and was associated with longer periods of smoking cessation. One latent variable accounted for 74% of the variability in symptom scores. Rasch modeling with a single latent factor fitted withdrawal symptoms well, except for increased appetite, for which the fit was marginal. Demographic variables of education, gender and ethnicity were not related to changes in sensitivity. Correlates of greater withdrawal sensitivity in cessation attempts of at least 3 months included younger age at first quit attempt and indicators of tobacco dependence. Conclusion The relationship between tobacco dependence symptoms and Rasch-model withdrawal sensitivity defines further the relationship between sensitivity and dependence. The findings demonstrate the utility of modeling to create an individual-specific sensitivity measure as a tool for exploring the relationships among sensitivity, dependence and cessation. [source]

Childhood social disadvantage and smoking in adulthood: results of a 25-year longitudinal study

ADDICTION, Issue 3 2007
David M. Fergusson
ABSTRACT Aim To examine the associations between exposure to socio-economic disadvantage in childhood and smoking in adulthood. Design A 25-year longitudinal study of the health, development and adjustment of a birth cohort of 1265 New Zealand children. Measurements Assessments of childhood socio-economic disadvantage, smoking in adulthood and potential mediating pathways, including: parental education, family socio-economic status, family living standards and family income; smoking frequency and nicotine dependence at age 25 years; child IQ, educational achievement by age 18 years, conduct problems ages 14,16 years, parental smoking 0,16 years and peer smoking at 16 years. Findings Smoking at age 25 was correlated significantly (P < 0.0001) with increasing childhood socio-economic disadvantage. Further, indicators of childhood socio-economic disadvantage were correlated significantly (P < 0.0001) with the intervening variables of childhood intelligence, school achievement, conduct problems and exposure to parental and peer smoking; which in turn were correlated significantly (P < 0.0001) with measures of smoking at age 25. Structural equation modelling suggested that the linkages between the latent factor of childhood disadvantage and later smoking were explained largely by a series of pathways involving cognitive/educational factors, adolescent behavioural adjustment and exposure to parental and peer smoking. Conclusions The current study suggested that smoking in adulthood is influenced by childhood socio-economic disadvantage via the mediating pathways of cognitive/educational factors, adolescent behaviour and parental and peer smoking. [source]

Trust in Nurses Scale: construct validity and internal reliability evaluation

JOURNAL OF ADVANCED NURSING, Issue 3 2010
Laurel E. Radwin
radwin l.e. & cabral h.j. (2010) Trust in Nurses Scale: construct validity and internal reliability evaluation. Journal of Advanced Nursing66(3), 683,689. Abstract Aim., This paper is a report of the continued psychometric evaluation of the Trust in Nurses Scale. Background., Qualitative analyses indicate that trust in nurses is critically important to adult patients. Instruments that distinctively measure this concept are lacking. A middle-range theory of patient-centred nursing care provided the theoretical basis for the Trust in Nurses Scale. Content validity was assessed by an expert panel and patient interviews. Construct validity and reliability were found acceptable using multi-trait/multi-item analysis techniques. These findings were previously reported. Methods., Construct validity and reliability of the Trust in Nurses Scale was assessed in 2007 using data collected during 2004,2005 from 187 hospitalized patients in a haematology-oncology setting. Trust in nurses (the latent factor) was operationalized by five items (manifest variables) using confirmatory factor analyses. Fit statistics included comparative fit index, Tucker-Lewis Index, root mean square error of approximation and the standardized root mean square residual. Internal consistency reliability was assessed using coefficient alpha. Findings., Both a five-item and a four-item version demonstrate acceptable psychometric properties. The five-item version met three fit statistics criteria. Fifty-nine per cent of the variance was explained. A four-item version met all fit statistics criteria. Sixty-six per cent of the variance was explained. Acceptable internal consistency reliability was found for both versions. Conclusion., Previous psychometric testing of the Trust in Nurses Scale provided evidence of the instrument's reliability, content validity and construct validity. The presented analyses further support construct validity. Thus, cumulative findings indicate that the instrument measures with a few items the underlying concept of trust. [source]

Effects of physical and verbal aggression, depression, and anxiety on drinking behavior of married partners: a prospective and retrospective longitudinal examination

AGGRESSIVE BEHAVIOR, Issue 4 2009
Margaret K. Keiley
Abstract In an ethnically diverse sample of 195 married couples, we conducted a latent factor growth analysis to investigate the longitudinal link (4 time points over 4½ years) between marital aggression (physical and verbal aggression self- and partner-reports) and individual internalizing symptoms (depression and anxiety) as they relate to trajectories of alcohol use among husbands and wives. Alcohol use was operationalized as a latent factor with self- and partner reports of problem drinking as measured by the Michigan Alcoholism Screening Test and the Alcohol Dependence Scale. Verbal aggression by husbands or wives, by itself, has no effect on their alcohol use over time. In conjunction with depression, however, verbally aggressive husbands do have elevated drinking levels. The effects of husbands' and wives' physical aggression on their own and their partners' drinking behavior were also significant. This study is one of the first to examine the change over time in alcohol use for marital partners as related to marital aggression and internalizing symptoms. Our results shed light on areas of marital functioning (aggression, internalizing, alcohol use) that have not been investigated in conjunction with each other in a longitudinal design. Aggr. Behav. 35:296,312, 2009. © 2009 Wiley-Liss, Inc. [source]

Personality Factors in Older Women's Perceived Susceptibility to Diseases of Aging

JOURNAL OF PERSONALITY, Issue 2 2004
Mary A. Gerend
A latent factor of general perceived susceptibility to disease was shown to underlie disease-specific perceptions of susceptibility. Affect-related personality traits (neuroticism, extraversion, optimism, worry, and self-deceptive enhancement) and internal and chance health locus of control predicted general perceived susceptibility. Perceived disease characteristics (e.g., perceived controllability, severity) and the use of cognitive heuristics (i.e., perceived similarity to those who contract each disease) also displayed marked consistency across the three distinct diseases. Finally, our results suggested that general beliefs about the characteristics of health threats and the use of cognitive heuristics may mediate the link between personality traits and perceived risk. [source]

Differences between peer victimization in cyber and physical settings and associated psychosocial adjustment in early adolescence

PSYCHOLOGY IN THE SCHOOLS, Issue 10 2009
Allison G. Dempsey
The increasing use of cyberspace as a social networking forum creates a new medium for youth to become victims of peer aggression. This study used factor analysis techniques to confirm whether survey questions about frequency of cyber victimization formed a distinct latent construct from questions about relational and overt victimization information in a large (N = 1,665) sample of middle school students. A secondary goal was to relate experiences of cyber victimization to symptoms of depression and social anxiety. Results indicate that cyber victimization is separate latent factor from overt and relational victimization. Experiences of cyber victimization were weakly associated with symptoms of social anxiety, but not depression. These results signify that cyber victimization deserves future empirical and clinical attention. © 2009 Wiley Periodicals, Inc. [source]

A State-Trait Analysis of Job Satisfaction: On the Effect of Core Self-Evaluations

APPLIED PSYCHOLOGY, Issue 1 2006
Christian Dormann
Une recherche récente qui portait sur les fondements caractériels de la satisfaction au travail s'est focalisée sur le rapport entre la satisfaction professionnelle observée et le noyau central des autoévaluations (CSE). Cette étude s'est occupée d'une part de la relation entre la variance-trait de la satisfaction au travail et le CSE et d'autre part de la structure des variables CSE. En faisant le choix d'un modèle de mesure longitudinal, nous avons d'abord recherché si le CSE était suffisamment stable, cela à partir d'une analyse secondaire de quatre périodes successives. Les résultats montrent une forte stabilité du CSE (.87 sur deux ans). Nous avons ensuite opéré une scission état-trait de la satisfaction professionnelle de façon à dissocier la variance-trait de la satisfaction au travail de la variance instable. Le facteur stable de satisfaction professionnelle fut mis en rapport, par régression, avec les variables CSE, en utilisant plusieurs modèles de CSE (une sommation, un facteur latent ou un concept global). D'après les résultats, il vaut mieux traiter les variables CSE comme une sommation, et cette série rend compte de presque toute la variance stable de la satisfaction professionnelle (84%). En outre, seuls l'affectivité négative et le locus of control interne avaient un impact significatif, alors que l'estime de soi et l'efficience personnelle n'en avaient pas. On conclut que la conception actuelle du CSE comme concept supraordonné englobant quatre dimensions est défendable, mais trop générale pour les recherches sur la satisfaction professionnelle; il est plus satisfaisant et suffisant d'analyser à la fois l'affectivité négative et le locus of control. Recent research that looked into the dispositional base of job satisfaction focused on relating observed job satisfaction to core self-evaluations (CSE). This study was concerned with (a) the relation between the trait variance of job satisfaction and CSE and (b) the structure of the CSE-variables. Using a longitudinal measurement model in a secondary analysis of four waves of a longitudinal study we first tested whether CSE are sufficiently stable over time. Results indicate a high stability of CSE (.87 across 2 years). We then performed a state-trait decomposition of job satisfaction in order to separate trait variance of job satisfaction from changing variance. The stable job satisfaction factor was regressed on CSE-variables, using different models of CSE (a collective set, a latent factor, or an aggregate concept). Results were in favor of treating the CSE-variables as a collective set, and this set explained almost all stable variance of job satisfaction (84%). Moreover, only negative affectivity and internal locus of control had a significant impact, whereas self-esteem and self-efficacy had not. It is concluded that current conceptualisations of CSE as a superordinate concept underlying its four dimensions is possible but overly broad in job satisfaction research; collective consideration of LOC and NA is better and sufficient. [source]

Evidence for distinct effects of GH and IGF-I in the metabolic syndrome

DIABETIC MEDICINE, Issue 9 2007
P. Maison
Abstract Aims, The metabolic syndrome is a cluster of cardiovascular risk factors which include central obesity, dyslipidaemia, glucose intolerance and hypertension. These risk factors are common in patients with growth hormone (GH) deficiency, suggesting a role for the somatotropic axis in the development of metabolic syndrome. Methods, We used factor analysis to investigate the relationships linking serum levels of GH and insulin-like growth factor I (IGF-I) to metabolic syndrome variables (high-density lipoprotein cholesterol, triglycerides, fasting glucose, blood pressure and waist circumference). We studied 359 men and 388 women from the Data from an Epidemiological Study on the Insulin Resistance syndrome (DESIR). Their age range was 30,64 years. Results, Three independent latent factors explained 61% of the total variance in women and four factors explained 73% in men. In both men and women, IGF-I showed a strong positive correlation with the lipid factor and a negative correlation with the obesity/glucose factor. In women, GH showed a strong negative correlation with the obesity/glucose factor but not the lipid factor. In men, GH was unrelated to the lipid and obesity/glucose factors. The blood pressure factor was not related to GH or IGF-I. In contrast with IGF-I, GH was significantly lower in women with metabolic syndrome (1575 ± 449 pg/ml) than in the other women (2121 ± 520 pg/ml, P = 0.002). No significant difference was observed in men for GH or IGF-I. Conclusion, Our results support a link between the somatotropic axis and several features of the metabolic syndrome, and suggest distinct effects of GH and IGF-I on these parameters. [source]

Understanding and using the implicit association test: V. measuring semantic aspects of trait self-concepts

EUROPEAN JOURNAL OF PERSONALITY, Issue 8 2008
Konrad Schnabel
Abstract Implicit Association Tests (IATs) often reveal strong associations of self with positive rather than negative attributes. This poses a problem in using the IAT to measure associations involving traits with either positive or negative evaluative content. In two studies, we employed non-bipolar but evaluatively balanced Big Five traits as attribute contrasts and explored correlations of IATs with positive (e.g. sociable vs. conscientious) or negative (e.g. reserved vs. chaotic) attributes. Results showed (a) satisfactory internal consistencies for all IATs, (b) explicit,explicit and implicit,implicit correlations that were moderate to high and comparable in strength after both were corrected for attenuation and (c) better model fit for latent variable models that linked the implicit and explicit measures to distinct latent factors rather to the same factor. Together, the results suggest that IATs can validly assess the semantic aspect of trait self-concepts and that implicit and explicit self-representations are, although correlated, also distinct constructs. Copyright © 2008 John Wiley & Sons, Ltd. [source]

The evaluation of high occupancy vehicle lanes on sun yat-sen freeway in Taiwan

JOURNAL OF ADVANCED TRANSPORTATION, Issue 2 2005
Rong-Chang Jou
Abstract This study proposes a methodological framework to incorporate latent factors, including direct and indirect perceptions, as the explanatory variables in a discrete choice models using revealed preference and stated preference data sets. The methodology requires the estimation of a model system comprising of a discrete choice model and the structural and measurement equations of a latent variable model. The application involves the evaluation of responses to the new high occupancy vehicle (HOV) lanes on the Sun Yat-Sen Freeway in Taiwan. The results obtained from this study provide valuable insights into the planning and assessment of HOV lanes. [source]

Exploratory factor analysis of the research and development culture index among qualified nurses

JOURNAL OF CLINICAL NURSING, Issue 9 2005
Bill Watson MSc
Aims and objectives., This paper presents the exploratory factor analysis of a rating instrument for assessing the strength of organizational Research and Development (R&D) culture. Background., Despite nursing's limited research capacity, the discipline is capitalising upon opportunities to become involved in research and is making strong progress. Within the context of the debate on nursing research capacity, the R&D Culture Index was developed as a means of appraising R&D culture within health care organizations. Design., Factor analysis was carried out on data collected from 485 nursing staff. The method of extraction was Principal Components Analysis with oblique rotation. Methods., The Index was developed from the findings of qualitative research conducted with NHS staff. Eighteen items, encompassing the main themes from the data, were initially included in the Index. This pilot instrument was distributed to nursing staff within three different types of NHS Trust. Factor analysis resulted in rejection of two items and the analysis was repeated using the remaining 16 items. Results., Three latent factors were extracted accounting for 58·0% of the variance in the data. The factors were: R&D Support, describing the perceived support within the working environment for R&D activity; Personal R&D Skills and Aptitude, describing an individual's perception of their ability towards R&D activity; and Personal R&D Intention, describing an individual's willingness to engage in R&D activity. Each factor had good internal reliability, as did the overall index. Conclusion., The R&D Culture Index provides an efficient means of assessing the strength of an organization's R&D culture in a way that captures the role of the individual practitioner and the organizational environment. Relevance to practice., These findings suggest that the continuing promotion of R&D within health care organizations is dependent upon a multi-faceted approach that addresses the learning needs of the organization as well as those of the individual practitioners. [source]

Longitudinal Studies of Anger and Attention Span: Context and Informant Effects

The Principal Components of Growth in the Less Developed Countries

KYKLOS INTERNATIONAL REVIEW OF SOCIAL SCIENCES, Issue 4 2008
Derek Headey
SUMMMARY This paper re-examines the international evidence on the sources of growth in less developed countries (LDCs) using exploratory factor analysis (EFA). Although EFA was first used in the development context by Adelman and Morris (1967) it has rarely been used since, despite being ideally suited to a context in which a large number of latent factors have been hypothesized to determine growth, and in which an even greater number of imperfectly measured and multicollinear proxies have been used to measure these latent factors. This paper uses EFA to minimize these problems of omitted variables biases, multicollinearity and measurement error, by reducing a large array of hypothesized growth determinants into a parsimonious and non-collinear set of composite indices. The paper then provides theoretical interpretations of the derived indices, tests their statistical significance and quantitative importance in otherwise conventional growth regressions, and uses these results to reappraise the usefulness of cross-country empirics in deriving robust, policy-relevant knowledge of the principal components of growth in LDCs, including the so called ,economic miracles'. [source]

Covariance-oriented qualitative and quantitative calibration analysis for multistage batch processes

THE CANADIAN JOURNAL OF CHEMICAL ENGINEERING, Issue 3 2009
Chunhui Zhao
Abstract An improved stage-specific multivariate calibration scheme is developed for multistage batch processes based on the covariance analysis unit. First, the process duration is automatically and properly divided into different stages, which reveals the changes of quality-related process correlation characteristics. The concept of stage-representative average process behaviour is then introduced, which is comprehensibly realized by averaging all covariance patterns within the same stage based on different weights. In this way, it stacks the cumulative effects of process variations on quality within each stage and meanwhile considers their time-varying characteristics. Subsequently, covariance-oriented OSC and variable selection are effectively combined, which can simplify the calibration model structure and enhance the causal relationship between predictors and quality by excluding the redundant latent factors and input variables. Finally, stage-representative PLS regression models are developed focusing on the critical-to-quality stages for online quality prediction. It shows that a complete multistage calibration solution is readily achieved from an "overall" stage perspective by smartly making use of covariance. The illustration study to injection molding shows the effectiveness of the proposed method for improving process comprehension and quality prediction. On a mis au point un schéma amélioré d'étalonnage multivarié pour des procédés discontinus multi-étapes, spécifique à chaque étape, basé sur l'analyse des covariances sans tenir compte de chaque variable de procédé. En premier lieu, la durée de procédé est automatiquement et correctement divisée en quatre étapes différentes, révélant le changement des caractéristiques de corrélation de procédé lié à la qualité. Le concept de comportement de procédé moyen représentatif d'une étape est alors introduit, ce qui se réalise de façon complète en moyennant tous les profils de covariance d'une étape donnée avec différentes pondérations. De cette façon, on tient compte dans la qualité des effets cumulatifs des variations de procédé spécifiques à chaque étape et considère de ce fait leurs caractéristiques évolutives. Par conséquent, l'OSC orienté vers la covariance et la technique de sélection des variables sont combinés efficacement afin de simplifier la structure du modèle d'étalonnage et améliorer la relation causale en excluant les facteurs latents redondants ou les variables d'entrée. Enfin, des modèles de régression de type PLS représentatifs des étapes sont mis au point, mettant l'accent sur les étapes critiques en terme de qualité pour la prédiction de la qualité en ligne. Cela montre qu'une solution complète d'étalonnage multi-étapes peut se réaliser parfaitement en utilisant bien la covariance. L'illustration dans le cas du moulage par injection montre l'efficacité de la méthode proposée pour la compréhension du procédé et l'amélioration des prédictions. [source]

Foreign Bond Investment and the Yield Curve,

ASIA-PACIFIC JOURNAL OF FINANCIAL STUDIES, Issue 1 2009
Sangwon Suh
Abstract Market participants have argued that the yield curve in the Korean bond market has been increasingly flattened since 2007 caused partly by foreign investors' rapidly growing investment in Korean bond market, motivated to take advantage of market imperfections seeking riskless profit making opportunities. To analyze how much foreign bond investments have affected the bond yields in Korea, in this paper I utilize a stylized affine term structure model that has an observable factor related with foreign bond investments as well as latent factors. I find supportive evidence for the argument by market participants that investment by foreigners has been an important factor behind the flattening of the yield curve since 2007. Taking out the effects of foreign bond investment on the yields, I observe much a weakened yield flattening phenomenon. [source]

The conceptual relationship between health indicators and quality of life: results from the cross-cultural analysis of the EUROHIS field study

CLINICAL PSYCHOLOGY AND PSYCHOTHERAPY (AN INTERNATIONAL JOURNAL OF THEORY & PRACTICE), Issue 1 2005
Silke Schmidt
The aim of this study was to determine the performance of various health indicators to predict quality of life, mental health and general health from a conceptual point of view. The EUROHIS study (see Nosikov and Gudex, 2003) includes a broad range of health care and health behaviour related indicators, such as preventive care, health care utilization, use of medicine, physical health, mental health, alcohol consumption, physical activity and quality of life. Data on various health indicators and quality of life were collected from 10 countries, amounting to a sample size of 4849 (2750 females and 2099 males). An analytical approach was employed to investigate the interrelationship between indicators of each particular indicator set (such as alcohol consumption) and between conceptually different indicator sets. Regression analyses as well as structural equation modelling were employed, pooled across all countries as well as separately for different groups of countries. Findings indicate a higher extent of cross-cultural variation in health behaviour and the QOL measures than in mental health and physical health. In regression analyses, results showed strong and consistent effects of various health behaviour indicators to predict quality of life (R2 = 0.48), mental health (R2 = 0.48) or general health (R2 = 0.45). However, a differential effect of socio-demographic variables, in particular education, and health behavioural determinants was found in different groups of countries. In the structural equation modelling, good fit indices were observed for the model determining physical and mental health factors by different health behaviour factors. Findings suggest that quality of life rather mediates mental outcomes in this particular set of health indicators in a European sample than functions as an outcome variable. However, it was not possible to include sociodemographic data in the whole model but only in each of the latent factors. This finding still requires replication, both in different clinical groups and in longitudinal data.,Copyright © 2005 John Wiley & Sons, Ltd. [source]