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. 2013 Jan 7;280(1750):20122028. doi: 10.1098/rspb.2012.2028

Table 2.

(a) Associations of each predictor term (fixed effect) with proposer offers in the null (intercept only) and full models. (b) Village- and individual-level variance components for proposer offer in the null and full models.a (The variance partition coefficient (VPC = village-level variance/(village-level variance + individual-level variance)) is 0.144±0.054 (95% BCIb = 0.063, 0.273) in the null model, and 0.112±0.049 (95% BCIb = 0.040, 0.228) in the full model. ***p < 0.01; **p < 0.05; *p < 0.10.)

(a)  proposer offer (Indian rupees)
fixed effect β±s.e. 95% BCIb DICc
null models
 intercept (single level) 46.624±0.562*** 45.506, 47.717 2590.199
 intercept (multilevel) 46.928±1.031*** 44.903, 49.037 2546.072
full model (multilevel) 2528.601
 intercept 45.888±1.853*** 42.304, 49.607
 proportion of non-Korwas 13.821±7.256* −1.045, 27.509
 household size (individuals) −0.400±0.213* −0.819, 0.024
 day on which game was played: day 2+ (ref: day 1) 4.940±1.162*** 2.658, 7.189
(b)  village-level
 individual-level
variance±s.e. 95% BCIb variance±s.e. 95% BCIb
 null model (multilevel) 15.720±7.090 6.314, 33.725 91.781±7.310 78.660, 107.180
 full model (multilevel) 11.234±5.674 3.705, 25.155 87.018±6.873 74.694, 101.473

aFor the two multilevel models (null and full), fixed-effect parameters in each model are specified in table 2a, while table 2b presents the village- and individual-level variances in proposer offers for each model, respectively. For instance, in table 2a, the full model (multilevel) has four fixed effects including the intercept; for each fixed effect (column 1), the associated β-value (column 2) and its 95% BCIb (column 3) can be read in the corresponding row. The DICc value for the model is presented in column 4 of table 2a. The variance components for the full model (multilevel) can be read in the last row of table 2b; column 2 represents the village-level variance in proposer offers with its 95% BCIb (column 3), and column 4 represents the individual-level variance in proposer offers with its 95% BCIb (column 5). The fixed effect parameters for the single-level null model are presented in table 2a; this model does not have variance components.

bBayesian credible interval.

cDeviance Information Criterion.