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Ordinal Logistic Regression
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Journal Article
Demography (2017) 54 (6): 2385–2397.
Published: 10 November 2017
.... * p < .05; ** p < .01; *** p < .001 Table 5 Estimated odds ratios (OR) from ordinal logistic regression models of emotional difficulties on family structure ( N = 122,556) Variable Model 1 Model 2 OR SE OR SE Family Structure (ref. = different-sex married...
Journal Article
Demography (2014) 51 (6): 1999–2023.
Published: 31 October 2014
... obtain odds of upgrading or downgrading childhood health ratings relative to those who maintained the same rating, as opposed to ordinal logistic regression, which would assume a ranking and provide the probability of falling into a category relative to all the responses less than a given category. We...
Journal Article
Demography (2006) 43 (4): 659–672.
Published: 01 November 2006
... their young adult children when parents’ marital quality is high than when it is low. 14 1 2011 © Population Association of America 2006 2006 Adult Child Intergenerational Transmission Marital Quality Ordinal Logistic Regression Detroit Metropolitan Area References Aiken...
Journal Article
Demography (2024) 61 (3): 797–827.
Published: 01 June 2024
... . ( 2005 ). Cumulative 90 million only children in China (Report). Retrieved from http://www.gov.cn/jrzg/2005-11/15/content_98542.htm O'Connell A. A. ( 2006 ). Quantitative applications in the social sciences: Vol. 146. Logistic regression models for ordinal response variables . Thousand...
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Includes: Supplementary data
Journal Article
Demography (2013) 50 (5): 1765–1788.
Published: 30 May 2013
... are unknown, but they can be estimated from data. For the three-level ordinal treatment, the denominator in Eq. ( 6 ) is estimated from an ordinal logistic regression model with form (7) where is a wave-specific intercept term for the j th cumulative logit. In Eq. ( 7 ), the level of neighborhood...
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Includes: Supplementary data
Journal Article
Demography (2016) 53 (5): 1605–1630.
Published: 23 August 2016
... a Different from same-sex married ( p < .05) b Different from same-sex cohabiting ( p < .05) * p < .05; ** p < .01; *** p < .001 Table 5 Estimated odds ratios from ordinal logistic regression models of emotional difficulties on family structure ( n = 146,849) Model 1...
Journal Article
Demography (2011) 48 (2): 699–724.
Published: 20 April 2011
... were used as separate health outcomes of all the covariates that were also used in the MIMIC model. All regressions (linear regressions for grip strength, FVC, and chair rise; logistic regressions for chronic illness; and functional limitations and ordinal logistic regression for self-rated health...
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Journal Article
Demography (2024) 61 (2): 463–491.
Published: 01 April 2024
..., subsequent questions on ethnic identification refer to respondents’ strongest ethnic identity. 13 Models that use ordinal logistic regressions led to substantively similar results (available on request). 14 This includes the Turkish, Polish, and Russian ethnic groups in Germany; Turkish...
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Includes: Supplementary data
Journal Article
Demography (2024) 61 (6): 1845–1870.
Published: 01 December 2024
... use OLS to fill in missing values on continuous variables, logistic regression for binary variables, ordinal logistic regression for ordinal variables, multinomial logit for nominal variables, and Poisson regression for count variables. 12 See Miller ( 2023 ) for a recent overview of event...
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Journal Article
Demography (2022) 59 (6): 2271–2293.
Published: 01 December 2022
... logistic regressions with person fixed effects comparing the relative odds of entering a romantic relationship, engagement, or marriage, compared to no or a casual relationship. Results suggest that higher pregnancy disinclination reduces the probability of entering a relationship, engagement, or marriage...
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Includes: Supplementary data
Journal Article
Demography (2018) 55 (4): 1447–1473.
Published: 02 July 2018
... derived. We present a method of estimating appropriate weights for couples that extends methods currently used in the Demographic and Health Surveys (DHS) for individual weights. To see how results vary, we analyze 1912 estimates (means; proportions; linear regression; and simple and multinomial logistic...
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Includes: Supplementary data
Journal Article
Demography (2018) 55 (3): 1147–1193.
Published: 21 May 2018
... an order of recognizance. Last, for those who do not receive pretrial release, I model in three separate logistic regressions the likelihood that a detainee is deported, a detainee voluntarily departs, or the case is terminated. 16 In the case of deportation, detainees are removed from the country...
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Includes: Supplementary data
Journal Article
Demography (2023) 60 (4): 1059–1088.
Published: 01 August 2023
... in two complementary steps to ensure the results are robust to model specification. First, I use an ordered logistic regression to assess the association between childhood migration and adulthood SES decile while controlling for parental background. Second, recognizing the interactions between...
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Includes: Supplementary data
Journal Article
Demography (2020) 57 (4): 1297–1321.
Published: 23 July 2020
... analytical sample contains 3,173 families 12 , 13 (808 Black and 2,365 White). I use logistic regression for the multivariate analysis. 14 The dependent variable is defined as homeownership exit during the 2007–2013 period. The variable is coded 1 if the family’s tenure status changed from...
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Journal Article
Demography (2021) 58 (6): 2041–2063.
Published: 01 December 2021
... used logistic regression, in which the second, fourth, and fifth inequality quintiles predict higher risk of mortality compared with the lowest inequality quintile. Further analyses are necessary to understand this nonmonotonic pattern. We speculate that if relative deprivation operates more strongly...
Includes: Supplementary data
Journal Article
Demography (1986) 23 (4): 607–620.
Published: 01 November 1986
.... A. ( 1984 ). On the existence of maximum likelihood estimates in logistic regression models . Biometrika , 71 , 1 – 10 . 10.1093/biomet/71.1.1 Alvey , N. G. , Banfield , C. F. , Baxter , R. I. , Gower , J. C. , Krzanowski , W. J. , Lane , P. W. , Leach , P. K...
Journal Article
Demography (2020) 57 (6): 2113–2141.
Published: 16 October 2020
... estimate linear regression models of the association between conflict and ideal family size; we estimate logistic regression models of the association between conflict and women’s odds of giving birth in the past 12 months. We also estimate logistic regression models for our analysis of mechanisms given...
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Includes: Supplementary data
Journal Article
Demography (2022) 59 (4): 1459–1488.
Published: 01 August 2022
... versus risk ratios, by outcome event probabilities (binary logistic regression case): Proportion of scenarios in which there is a mismatch between the direction of the group difference in the effect of an arbitrary covariate X when quantified using odds ratios versus risk ratios, by (a) the probability...
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Includes: Supplementary data
Journal Article
Demography (1993) 30 (2): 209–226.
Published: 01 May 1993
... regression. (See Agresti 1984.) This ordinal-variable logistic-regression model is based on the cumulative distribution probabilities of the categories of the indicators of well-being rather than on individual probabilities (as in the more familiar binary form of logistic regression). With an indicator of j...
Journal Article
Demography (2001) 38 (1): 79–95.
Published: 01 February 2001
.... , & Albert , J.H. ( 1999 ). Ordinal Data Modeling . New York : Springer-Verlag . Kannisto , V. ( 1988 ). dOn the Survival of Centenarians and the Span of Life . Population Studies , 42 , 389 – 406 . 10.1080/0032472031000143546 Kannisto , V. , Lauritsen , J. , Thatcher...
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