Table 1.

Descriptive statistics and correlations among the study variables.

Variable	Minimum	Maximum	M	SD	N	1	2	3	4	5
(1) Ideal standards	2.38	7.00	5.73	0.53	1075	-
(2) Perceived partner ratings	3.63	7.00	5.66	0.58	1079	0.61∗∗
(3) Acceptance	1.50	5.00	4.19	0.44	1078	0.31∗∗	0.50∗∗
(4) Relationship satisfaction	27.00	139.00	110.58	10.83	1080	0.28∗∗	0.55∗∗	0.52∗∗
(5) Pattern correspondence	-0.49	1.00	0.47	0.30	970	-0.06	0.07∗	0.16∗∗	0.21∗∗
(6) Mean-level match	-2.63	1.63	-0.08	0.50	1074	-0.36∗∗	0.53∗∗	0.26∗∗	0.34∗∗	0.15∗∗

Descriptive statistics and correlations show the statistics across all three waves of data. ^∗∗p < 0.001, ^∗p < 0.05. N shows the number of scores included in the analysis. For example, the number 1075 for ideal standards represents the number of responses (number of couples across three study waves^∗2 partners = 541^∗2 = 1082) in the data minus the number of missing cases (n = 7) for that variable. N for pattern correspondence was low due to missing cases for variables used to compute this variable (n = 8) and having no variance in some participants’ ideal standards and/or perceived partner ratings (n = 104). No variance in those variables shows that the participant rated all items under one/both of these scales with the same score.