Power analysis and determination of sample size for covariance structure modeling.

MacCallum, Robert C.; Browne, Michael W.; Sugawara, Hazuki M.

doi:10.1037/1082-989x.1.2.130

Cited by 7,857 publications

(5,400 citation statements)

References 24 publications

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“…Thus, values of .90 or above for the comparative fit index (CFI) and Tucker-Lewis index (TLI), of .08 or below for the root mean square error of approximation (RMSEA), and of .10 or below for the standardized root mean square residual (SRMR) suggest an acceptable fit of the model (Bentler, 1990;Marsh, Hau, & Wen, 2004). For the RMSEA 90% CI, values below .05 for the lower bound and below .08 for the upper bound suggest acceptable fit (MacCallum, Browne, & Sugawara, 1996). For the assessment of change in model fit tests, the Satorra-Bentler scaled chi-square test (Satorra, 2000) was computed.…”

Section: Data Analysesmentioning

confidence: 99%

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

et al. 2017

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There are two major advantages of the Big Five Personality Trait Short Questionnaire (BFPTSQ) over other non-commercial short Five-Factor Model personality measures: widen conceptual breadth, and its use in both adolescents and adults. The aim of this study was to explore the psychometric properties of this questionnaire in an adult Spanish sample. Factor, convergent (using the NEO-PI-R), and criterion (using scales that assess happiness and alcohol consumption) validities, internal consistency as well as test-retest reliabilities of the BFPTSQ were evaluated. The sample was composed of 262 participants; a subsample of 71 individuals also answered the NEO-PI-R, and another subsample of 42 respondents filled the BFPTSQ out again a month later. The results indicated that the expected factor structure was recovered using exploratory structural equation modeling (ESEM). The ESEM showed satisfactory fit indices, with CFI and TLI around .90, as well as RMSEA and SRMR below .06. Moreover, coefficient alphas ranged from .75 to .85 and test-retest correlations ranged from .72 to .93 (p < .001). Regarding the associations of BFPTSQ with NEO-PI-R scales, the correlations with the broad-trait scales ranged from .57 to .80 (p < .001), and 27 out of 30 correlations with the facet scales were significant (p < .05 or lower). We also found that extraversion and emotional stability were associated with subjective well-being (p < .001), and extraversion and conscientiousness were related to alcohol consumption (p < .01). This study supports the construct validity of the Spanish version of the BFPTSQ in adults.

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Section: Data Analysesmentioning

confidence: 99%

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

et al. 2017

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“…Based on root-mean-square error of approximation (47) , power was set at 80 % with an a level of 0?05. To achieve this level of power 208 participants were needed.…”

Section: Participantsmentioning

confidence: 99%

Associations between parenting styles and nutrition knowledge and 2–5-year-old children's fruit, vegetable and non-core food consumption

Peters

Dollman

Petkov

et al. 2012

Public Health Nutr.

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Objective: During the early years, parents have a major influence on children's diets and developing food choices. We investigated parenting styles as predictors of 2-5-year-old children's diets and whether general nutrition knowledge (GNK) mediated these influences. Design: Cross-sectional research. Questionnaires measured demographic and lifestyle variables, family environment, parenting styles and feeding practices, child diet and GNK. Regression models tested GNK as a mediator of relationships between parenting variables and child diet (fruit/vegetable and non-core food consumption), controlling for confounders and family environment. Setting: Questionnaires were completed by main caregivers at home. Subjects: Parents of children aged 2-5 years (n 269). Results: Higher child fruit/vegetable consumption was associated with lower overreactive parenting and restriction, higher authoritative parenting and dining together as a family; with lax parenting approaching statistical significance (P 5 0?083) and 19 % of variance explained by the model. GNK was not a significant predictor. Conversely, non-core food consumption was associated with higher over-reactive and lax parenting as well as child age, increased takeaway food consumption and higher television viewing; GNK had a small effect (P 5 0?043) and 28 % of variance was explained by the model. GNK was a significant mediator only for authoritative parenting on non-core food (effect 5 20?005). Conclusions: These findings highlight that young children's diets may be improved by interventions targeting a range of positive and supportive parenting practices in conjunction with nutrition knowledge education for parents of young children. Further insights will come from closer attention to the nature and role of restrictive feeding practices v. laxness and longitudinal research.

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“…The second model-selection statistic was the comparative fit index (CFI), in which values greater than .95 are indicative of good-fitting models (Hu & Bentler, 1999). The third model-selection statistic was the root-mean-square error of approximation (RMSEA), which is an index of the model discrepancy, per degree of freedom, from the observed covariance structure (MacCallum, Browne, & Sugawara, 1996). Values less then .05 indicate close fit to the data, and values less than .08 indicate fair fit to the data (Browne & Cudeck, 1993).…”

Section: What Is the Genetic And Environmental Architecture Of Iq Andmentioning

confidence: 99%

Genetic influences on the overlap between low IQ and antisocial behavior in young children.

Koenen¹,

Caspi²,

Moffitt³

et al. 2006

Journal of Abnormal Psychology

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The well-documented relation between the phenotypes of low IQ and childhood antisocial behavior could be explained by either common genetic influences or environmental influences. These competing explanations were examined through use of the Environmental Risk Longitudinal Twin Study 1994-1995 cohort (Moffitt & the E-Risk Study Team, 2002) of 1,116 twin pairs and their families. Children's IQ was assessed via individual testing at age 5 years. Mothers and teachers reported on children's antisocial behavior at ages 5 and 7 years. Low IQ was related to antisocial behavior at age 5 years and predicted relatively higher antisocial behavior scores at age 7 years when antisocial behavior at age 5 years was controlled. This association was significantly stronger among boys than among girls. Genetic influences common to both phenotypes explained 100% of the low IQ-antisocial behavior relation in boys. Findings suggest that specific candidate genes and neurobiological processes should be tested in relation to both phenotypes. Keywords IQ; antisocial behavior; young children; behavior geneticsEarly-onset antisocial behavior is a strong risk factor for poor mental health, criminality, unemployment, and a host of other adjustment problems in adult life (Moffitt, Caspi, Harrington, & Milne, 2002;Robins, 1966). Understanding the etiology of antisocial behavior in young children is necessary for informing prevention efforts and, therefore, remains an important public health goal. Low IQ is a consistent risk factor for emergence and continuity of antisocial behavior across the life course in both prospective and cross-sectional studies, even when other relevant risk factors are statistically controlled (Hinshaw, 1992;Moffitt & Lynam, 1994;Nigg & Huang-Pollock, 2003;Simonoff et al., 2004). The effect size of the association between low IQ and antisocial behavior ranges from small to medium, with correlations ranging from .20 to .30 across studies, and comparisons of antisocial groups and control groups show half a standard deviation (approximately 8 points) difference in their IQ scores. These findings have been replicated in cohorts throughout the Western world (Hinshaw, 1992;Nigg & Huang-Pollock, 2003). Although the bulk of studies involve adolescents, the Correspondence concerning this article should be addressed to Karestan C. Koenen, Department of Society, Human Development, and Health, Harvard School of Public Health, 677 Huntington Avenue, Kresge 613, Boston, MA 02115. E-mail: kkoenen@hsph.harvard.edu. NIH Public Access NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript association has been reported for preschool children (Moffitt, Caspi, Harrington, & Milne, 2002;Raine, Yaralian, Reynolds, Venables, & Mednick, 2002). The association between IQ and antisocial behavior is, therefore, robust. It is not an artifact of differential detection, socioeconomic status, race, or children's poor effort on the tests (Lynam, Moffitt, & Stouthamer-Loeber, 1993). This article examines the etiology of the ...

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Power analysis and determination of sample size for covariance structure modeling.

Cited by 7,857 publications

References 24 publications

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

Associations between parenting styles and nutrition knowledge and 2–5-year-old children's fruit, vegetable and non-core food consumption

Genetic influences on the overlap between low IQ and antisocial behavior in young children.

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