| Literature DB >> 30595617 |
Tila M Pronk1, Asuman Buyukcan-Tetik2, Marina M A H Iliás3, Catrin Finkenauer4.
Abstract
Do partners' levels of self-control and forgiveness change over the course of marriage? Based on the idea that marriage may function as a training ground for these vital relationship abilities, we hypothesized that people increase their levels of self-control and forgiveness over time and that these developments take place simultaneously. We tested these predictions among 199 newlywed couples in the first 4 years of marriage, using a dyadic latent growth curves analysis. Confirming our hypotheses, results showed significant increases in self-control and forgiveness as well as a positive concurrent correlation between these variables. However, the developments of self-control and forgiveness were unrelated. So, while people become more self-controlled and forgiving over the course of a marriage, these developments do not coincide.Entities:
Keywords: Forgiveness; marriage; romantic relationships; self-control
Year: 2017 PMID: 30595617 PMCID: PMC6293440 DOI: 10.1177/0265407517721065
Source DB: PubMed Journal: J Soc Pers Relat ISSN: 0265-4075
Average scores of study variables across study waves.
| Model | Time 1 | Time 2 | Time 3 | Time 4 | Time 5 |
|---|---|---|---|---|---|
| Self-control | |||||
|
| 3.28 | 3.30 | 3.30 | 3.30 | 3.31 |
|
| .48 | .47 | .46 | .48 | .46 |
|
| 3.21 | 3.18 | 3.22 | 3.22 | 3.27 |
|
| .44 | .43 | .44 | .47 | .45 |
| Forgiveness | |||||
|
| 3.46 | 3.61 | 3.59 | 3.63 | 3.67 |
|
| .76 | .63 | .63 | .71 | .67 |
|
| 3.10 | 3.18 | 3.22 | 3.30 | 3.30 |
|
| .59 | .62 | .60 | .59 | .58 |
Descriptive statistics and correlations.
| Model |
|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|---|---|
| 1. Self-control (husbands) | 3.30 | .47 | – | ||||||
| 2. Forgiveness (husbands) | 3.59 | .68 | .29** | – | |||||
| 3. Relationship satisfaction (husbands) | 111.14 | 1.69 | .39** | .29** | – | ||||
| 4. Commitment (husbands) | 4.55 | .46 | .15** | .16** | .56** | – | |||
| 5. Self-control (wives) | 3.22 | .44 | −.06† | .13** | .10* | .09* | – | ||
| 6. Forgiveness (wives) | 3.21 | .60 | −.02 | .11** | .09* | .04 | .26** | ||
| 7. Relationship satisfaction (wives) | 109.98 | 11.15 | .09* | .18** | .36** | .30** | .23** | .21** | |
| 8. Commitment (wives) | 4.64 | .44 | .05 | .12** | .21** | .21** | .09* | .10* | .52** |
Note. Descriptive statistics show the statistics across five waves of data. Exact p values are given in the text.
† p < .10; *p < .05; **p ≤ .001.
Figure 1.Univariate dyadic latent growth curve model. T1–T5 = Time 1–Time 5. Variable = Self-control or forgiveness in our univariate models. (a and b) Within-person intercept-slope association. (c) Across-partner between-intercepts association. (d) Across-partner between-slopes association. (e and f) Across-partner intercept-slope association. (g to k) Across-partner error associations.
Fit statistics for the univariate dyadic latent growth curve models.
| Model | χ2 |
|
| CFI | RMSEA | Δχ2 | Δ |
|
|---|---|---|---|---|---|---|---|---|
|
| ||||||||
| Base | 44.34 | 36 | .16 | .99 | .03 | |||
| Equal intercepts across gender | 48.60 | 37 | .10 | .99 | .04 | 4.26 | 1.00 | .04 |
| Equal variances of intercepts across gender | 45.98 | 37 | .15 | .99 | .03 | 1.63 | 1.00 | .20 |
| Equal slopes across gender | 44.35 | 37 | .19 | 1.00 | .03 | 0.01 | 1.00 | .93 |
| Equal variances of slopes across gender | 45.62 | 37 | .16 | .99 | .03 | 1.27 | 1.00 | .26 |
|
| ||||||||
| Base | 33.81 | 36 | .57 | 1.00 | .00 | |||
| Equal intercepts across gender | 77.15 | 37 | <.001 | .95 | .07 | 43.34 | 1.00 | <.001 |
| Equal variances of intercepts across gender | 34.03 | 37 | .61 | 1.00 | .00 | 0.22 | 1.00 | .64 |
| Equal slopes across gender | 33.84 | 37 | .62 | 1.00 | .00 | 0.04 | 1.00 | .85 |
| Equal variances of slopes across gender | 33.92 | 37 | .61 | 1.00 | .00 | 0.11 | 1.00 | .74 |
Growth factors of study variables in the univariate dyadic latent growth curve models.
| Model |
|
| Var. |
|
|---|---|---|---|---|
|
| ||||
| Husbands’ intercept | 3.28 | <.001 | .16 | <.001 |
| Wives’ intercept | 3.19 | <.001 | .16 | <.001 |
| Husbands’ and wives’ slope | .01 | .03 | .003 | <.001 |
|
| ||||
| Husbands’ intercept | 3.51 | <.001 | .24 | <.001 |
| Wives’ intercept | 3.12 | <.001 | .24 | <.001 |
| Husbands’ and wives’ slope | .05 | <.001 | .00 | .30 |
Note. Var. = variance. Based on the fit statistics in Table 3, variances of intercepts, means of slopes, and variances of slopes are set to be equal across gender in the models.
Associations between growth factors in the multivariate dyadic latent growth curve model.
| Variable | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
|
| ||||||
| 1. Husbands’ intercept | – | |||||
| 2. Wives’ intercept | −.11 | – | ||||
| 3. Husbands’ slope | −.13 | .14 | – | |||
| 4. Wives’ slope | −.03 | −.09 | −.02 | – | ||
|
| ||||||
| 5. Husbands’ intercept | .39a | .16b | −.09 | .07 | – | |
| 6. Wives’ intercept | .07 | .30a | −.53a | .05 | .11 | – |
| 7. Wives’ slope | −.19 | .02 | .67c | .44 | −.04 | −.42d |
Note. As explained in the text, because variance in husbands’ slope of forgiveness was set to zero, we were not able to examine correlations with that growth factor.
a p ≤ .001.
b p = .06.
c p = .07.
d p = .01.