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Factor Model
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in Is the Association Between Education and Fertility Postponement Causal? The Role of Family Background Factors
> Demography
Published: 09 January 2017
Fig. 3 Correlated factor model depicting standardized estimate of genetic ( A ) and shared environmental (C) influences on education and age at first birth, the correlation of these influences across traits, and a causal effect of education on the age at first birth. Source : TwinsUK, own
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Journal Article
Hendriek C. Boshuizen, Stefan K. Lhachimi, Pieter H. M. van Baal, Rudolf T. Hoogenveen, Henriette A. Smit ...
Demography (2012) 49 (4): 1259–1283.
Published: 10 October 2012
...Hendriek C. Boshuizen; Stefan K. Lhachimi; Pieter H. M. van Baal; Rudolf T. Hoogenveen; Henriette A. Smit; Johan P. Mackenbach; Wilma J. Nusselder Abstract In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled...
FIGURES
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in Dimensions of Reproductive Attitudes and Knowledge Related to Unintended Childbearing Among U.S. Adolescents and Young Adults
> Demography
Published: 06 December 2018
Fig. 1 Factorial model of reproductive attitudes from confirmatory factor analysis (CFA), Add Health. Model fit: RMSEA = .024, and CFI = .982. All factor loadings and covariances are significant at p < .001 unless otherwise indicated. * p < .05
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in Dimensions of Reproductive Attitudes and Knowledge Related to Unintended Childbearing Among U.S. Adolescents and Young Adults
> Demography
Published: 06 December 2018
Fig. 2 Factorial model of reproductive attitudes from confirmatory factor analysis (CFA), RDSL. Model fit: RMSEA = .030, and CFI = .953. All factor loadings and covariances significant at p < .001 unless otherwise indicated; * p < .05; ** p < .01. a Not significant.
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Image
in Dimensions of Reproductive Attitudes and Knowledge Related to Unintended Childbearing Among U.S. Adolescents and Young Adults
> Demography
Published: 06 December 2018
Fig. 3 Factorial model of reproductive knowledge from confirmatory factor analysis (CFA), Add Health. Model fit: RMSEA = .035, and CFI = .981. All factor loadings and covariances are significant at p < .001 unless otherwise indicated. * p < .05
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Image
in Dimensions of Reproductive Attitudes and Knowledge Related to Unintended Childbearing Among U.S. Adolescents and Young Adults
> Demography
Published: 06 December 2018
Fig. 4 Factorial model of reproductive knowledge from confirmatory factor analysis (CFA), RDSL. Model fit: RMSEA = .027, and CFI = .943. All factor loadings and covariances are significant at p < .001 unless otherwise indicated; ** p < .01
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Journal Article
Demography (1968) 5 (1): 268–305.
Published: 01 March 1968
... differential equation with time-dependent coefficients. The growth process represented by the model is subject to the effects of immigration, war, prosperity, and a so-called “cultural” factor. Specifically, the equation assumes that the rate of growth for a particular year is the result of positive factors...
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in Cognitive Disparities: The Impact of the Great Depression and Cumulative Inequality on Later-Life Cognitive Function
> Demography
Published: 21 November 2017
Fig. 2 Social trajectory model: Predicted probabilities of risk factors by cohort, net of sex, race/ethnicity, and early-life SES. Time-variant outcomes are also adjusted for age
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Journal Article
Demography (1972) 9 (1): 107–117.
Published: 01 February 1972
...Alfred A. Hunter Abstract Studies in factorial ecology have typically used the principal factor procedure coupled with varimax rotation. Since it can be shown that the results one obtains vary according to the factor and rotation models he employs, and since there is no one “best” way of obtaining...
Journal Article
Demography (2013) 50 (2): 569–589.
Published: 15 November 2012
... on the mechanisms underlying these biases, I develop and estimate a latent-factor model of how individuals form subjective forecasts. The estimates of this model’s parameters imply that these forecasts incorporate several important sources of measurement error that arguably swamp the useful information they convey...
FIGURES
Journal Article
Demography (2017) 54 (2): 485–511.
Published: 23 February 2017
...Mónica Hernández-Alava; Gurleen Popli Abstract In this study, we use the UK Millennium Cohort Study to estimate a dynamic factor model of child development. Our model follows the children from birth until 7 years of age and allows for both cognitive and noncognitive abilities in children. We find...
Includes: Supplementary data
Journal Article
Demography (2014) 51 (4): 1551–1572.
Published: 21 May 2014
... %). In random split-half samples, one-factor exploratory factor analysis (EFA) ( N 1 = 527) and confirmatory factor analysis (CFA) ( N 2 = 528) models for nine items with sufficient variability had significant loadings (0.575–0.883; 0.502–0.897) and good fit (RMSEA = 0.068, 0.048; CFI = 0.951, 0.978, TLI...
Journal Article
Demography (2017) 54 (1): 71–91.
Published: 09 January 2017
...Fig. 3 Correlated factor model depicting standardized estimate of genetic ( A ) and shared environmental (C) influences on education and age at first birth, the correlation of these influences across traits, and a causal effect of education on the age at first birth. Source : TwinsUK, own...
FIGURES
Includes: Supplementary data
Journal Article
Demography (2014) 51 (5): 1755–1773.
Published: 03 October 2014
...Geng Niu; Bertrand Melenberg Abstract The vast literature on extrapolative stochastic mortality models focuses mainly on the extrapolation of past mortality trends and summarizes the trends by one or more latent factors. However, the interpretation of these trends is typically not very clear...
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Includes: Supplementary data
Journal Article
Demography (2010) 47 (3): 555–578.
Published: 01 August 2010
... hazards models to examine sex differences in adult mortality in the United States. Our findings document that social and behavioral characteristics are key factors related to the sex gap in mortality. Once we control for women’s lower levels of marriage, poverty, and exercise, the sex gap in mortality...
Journal Article
Demography (1999) 36 (2): 273–285.
Published: 01 May 1999
... models. Another type of potential selectivity involves socioeco- nomic factors. For example, people who are more educated may be more likely to attend services and also have lower mortality (Comstock and Tonascia 1976). Thus, an observed association between religious involvement and mortality may...
Journal Article
Demography (2008) 45 (2): 387–416.
Published: 01 May 2008
... the use of APC models. Period effects relate to variations in mortality, by time at which the death is recorded, that in uences all age groups. Period effects subsume a complex set of historical events and environmental factors such as world wars, economic crisis, famine, and pandemics of infectious...
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in Parental Well-being Surrounding First Birth as a Determinant of Further Parity Progression
> Demography
Published: 04 August 2015
Fig. 1 Estimated parity progression by drop in well-being at first birth, net of other factors. Estimated from Model 4 in Table 2 with other covariates held at their mean levels
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Journal Article
Demography (2003) 40 (4): 621–635.
Published: 01 November 2003
... of the population. Numerical examples using both hypothetical and actual populations demonstrate that for declines of any length, the product of the two factors yields momentum values that closely agree with the results of population projections. The QH model can examine monotonic transitions between any two sets...
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in The DYNAMO-HIA Model: An Efficient Implementation of a Risk Factor/Chronic Disease Markov Model for Use in Health Impact Assessment (HIA)
> Demography
Published: 10 October 2012
Fig. 1 General concept of a model for health impact assessment or priority setting in health policy: A policy or intervention will influence the risk factor status of individuals, which in turn influences their probabilities of becoming diseased or dying
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