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. 2017 May 18;12(5):e0177841. doi: 10.1371/journal.pone.0177841

Table 2. Linear regression with relationship length difference predicting differences between primary and secondary relationships on primary analyses.

Variable Primary-Secondary Difference Paired Dataa
Intercept (SE) Slope (SE) n rb t d
Relationshio acceptance: Family 3.07 (0.16)**c 0.10 (0.02)** 535 .10 18.75 1.09
Relationship acceptance: Friends 1.73 (0.13)** 0.06 (0.01)** 538 .15 13.49 0.76
Romantic secrecy -2.68 (0.18)** -0.10 (0.02)** 539 .27 -15.34 -0.80
Investment size 2.58 (0.11)** -0.00 (0.01) 539 .27 22.56 1.17
Relationship satisfaction 1.54 (0.10)** -0.03 (0.01)** 539 .14 14.92 0.84
Quality of alternatives -0.58 (0.07)** 0.02 (0.01)** 538 .57 -8.40 -0.34
Commitment level 2.23 (0.11)** -0.02 (0.01)* 539 .23 21.26 1.14
Relationship communication 1.66 (0.08)** -0.05 (0.01)** 558 .49 21.76 0.93
Quality of communication 1.00 (0.06)** -0.02 (0.01)** 565 .21 17.32 0.92
Percentage of sexual activity -12.57 (1.80)** -0.69 (0.19)** 529 .08 -6.98 -0.41

a Estimated mean comparisons when difference in relationship duration was zero.

b r = the partial correlation controlling for relationship length difference between scores for primary and secondary relationships.

c **p < .01,

*p < .05.