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. Author manuscript; available in PMC: 2021 May 11.
Published in final edited form as: J Ethn Migr Stud. 2019 Apr 2;46(14):2880–2895. doi: 10.1080/1369183x.2019.1585006

Table 3.

Fit statistics for log-linear models of race-generation and educational assortative marriage

Model df Deviance BIC

1 Marginals (HR + HE + WR + WE + P) + HR×HE + WR×WE 112 29,597.95 28,362.06
2 Model 1 + C 109 21,397.36 20,194.57
3 Model 2 + RHyper 108 21,397.36 20,205.60
4 Model 2 + EduCol 108 1,362.63 170.87
5 Model 4 + HR×P + WR×P 102 1,175.88 50.33
6 Model 5 + C×P 99 1,164.61 72.17
7 Model 5 + HE×P + WE×P 100 328.55 −774.93
8 Model 7 + EduCol×P 99 325.10 −767.34
9 Model 7 + C×EduCol 97 250.70 −819.68
10 Model 9 + C×EduCol×P 90 225.60 −767.53

Notes: N = 61,993; cells = 128. df = degrees of freedom.

HR = husbands’ race/generation; HE = husbands’ education; WR = wives’ race/generation; WE = wives’ education; C = race/generation crossings parameters; RHyper = race/generation hypergamy (marriages in which Asian husbands are in later generations than their Asian wives or white husbands marry Asian wives = 1, otherwise = 0); EduCol = parameter indicating both spouses are college graduates (both spouses are college graduates = 1, otherwise = 0); P = time period (2005–2015 = 1; 1994–2004 = 0).