Among married couples, consumer debt, financial disagreements, and a lack of financial assets are all associated with a higher divorce rate, and even marriages that continue become more unstable as these issues increase in severity (Johnson et al., 2023; Juhari & Sarani, 2020; Karney & Bradbury, 2020; Kelley et al., 2022; Lee & Dustin, 2021). In contrast, when couples fight less about money, they are more committed to the marriage and feel more respect for each other (Addo & Zhang, 2020; Evertsson & Nyman, 2021; Wheeler & Brooks, 2023). It should come as no surprise that, more generally, an individual feeling financially dissatisfied and strained tends to have less overall satisfaction with his or her marriage (Falconer & Jackson, 2020; Kruger et al., 2023).
“Financial transparency” represents a novel measure of how couples interact on issues concerning money. To be precise, relationships are considered more financially transparent when couples are open about their financial decisions (Koochel et al., 2020). We apply this novel financial transparency scale (Kooshel et al., 2020) to couples’ survey response data gathered from a convenience sample of faculty and staff at a large university in the southern United States and employ an ordinal (ordered) regression empirical analysis.1 We find that measures of financial partnership, along with trust and disclosure, relate positively to relationship satisfaction. It is also the case that one’s level of financial transparency relates positively to their spouse’s relationship satisfaction. We consider this work to be a unique addition to the literature since we are among the first to empirically document the importance of this new concept of financial transparency and to test it within the realm of relationship satisfaction. We hope that future authors will employ additional samples and analyses to extend and strengthen our novel findings.
Marriage and finances are inextricably linked (Hill et al., 2023; Olson & Rick, 2022). Having fewer financial assets (Dew, 2009; Johnson et al., 2023; Juhari & Sarani, 2020), more consumer debt (Dew, 2011; Williamson et al., 2013), and more frequent financial disagreements, particularly about big-ticket purchases and expenses (Britt and Huston, 2012; Meyer & Sledge, 2021; Peetz et al., 2023) are all associated with lower levels of marital satisfaction and a higher probability of divorce. Finances also relate to general marriage destabilisation, with Gudmunson et al. (2007) finding a positive correlation between greater perceived financial strain and increased marital instability.
Higher levels of marital commitment and respect are additionally related to decreased financial conflict (Dew and Stewart, 2012; Kelley et al., 2022). Conversely, when couples say that they are experiencing higher levels of financial strain—whether from their own or their partner’s perception—marital satisfaction is less likely to stabilise the relationship (Archuleta et al., 2013; Gajos et al., 2022; Kelley et al., 2018).2,3 It is even the case that perceiving one’s partner as a “tightwad” versus a “big spender” may affect marital happiness (Kelley et al., 2022).
In keeping with the idea that communication helps many marriages thrive (Bourdeaux & Bright, 2021), the goal of our larger research is to create an improved methodology in joint financial and marital counselling. To date, very few marital counselling interventions have included financial training, and there remains a dearth of studies that examine the effects of this training on improving marital happiness and marital stability.4
Despite a handful of papers indicating that couples may tend to favour going individually to financial counselling (Zeamer & Estey, 2021) or that couples are happier when they stay in their own lanes in terms of financial responsibilities (Gupta et al., 2022), there are several studies showing the opposite pattern. Couples who choose to merge their finances and manage them together tend to experience higher marital satisfaction (Olson et al., 2023), as do couples who perceive that they are receiving marital support through some sort of intervention (Ross et al., 2021). Taken together, there does seem to be a place for marital counselling involving financial training and intervention.
Papers in the burgeoning field of financial intervention indicate an overall improvement in marital longevity and satisfaction after introducing financial management practices (Dew & Xiao, 2013; Kerkmann et al., 2000; Ksendzova et al., 2017; Skogrand et al., 2011; Zimmerman & Roberts, 2012).5 To this end, a primary goal of our research is to determine how transparency, or a lack thereof, may benefit or harm members of a couple in terms of their relationship satisfaction.
Financial transparency is defined as the practice of spouses openly and honestly sharing financial information with one another (Koochel et al., 2020). The opposite extreme of a relationship, now termed ‘financial infidelity,’ would involve individuals in the couple hiding and lying about financial information (Garbinsky et al., 2020). In fact, social exchange theory predicts that financial transparency will differ based on a cost-benefit calculation employed by each person in the couple (White & Klein, 2002). Specifically, each tries to avoid being exploited in the relationship by disclosing information (cost) but also values a potential increase in marital happiness (benefit) resulting from said financial disclosure (Thibaut and Kelley, 1959). Ultimately, it appears that withholding information and engaging in financial dishonesty is a large part of why relationships fail (Saxey et al., 2022).
In the context of financial transparency, a partner may, for example, choose to withhold information regarding an expensive purchase because the perceived benefits of conflict avoidance outweigh the potential costs of withholding information (Koochel et al., 2020). Decreased financial transparency can also lead to feelings of a power imbalance in the relationship and a decreased sense of fairness (Evertsson & Nyman, 2021), which may ultimately lead to the downfall of the marriage (LeBaron-Black et al., 2024). Specifically, the partner perceiving themselves to be less powerful is more likely to conceal money in a secret account or engage in other instances of financial infidelity (Weil, 2009). Unfortunately, these choices to withhold information regarding spending, i.e., a decrease in financial transparency, may ultimately impact the relationship satisfaction of the other partner in the relationship (Britt et al., 2008).
The present analysis makes its contribution in this regard. Specifically, we employ data on financial transparency and use the financial transparency scale introduced by Koochel et al. (2008) to determine how it relates to marital satisfaction.6 Due to the novelty of the indicator, we are one of the first studies to employ this methodology. We believe our results are critical to understanding relationships in the area of financial transparency within the larger context of seeing how finances and marriage intertwine. In particular, our very novel contribution to the literature is in determining how a person’s perception of his or her partner’s financial transparency affects marital satisfaction. Specifically, our Hypotheses are:
H0A: An individual’s marital satisfaction is unaffected by their own level of financial transparency. H1A: An individual’s marital satisfaction is positively affected by their own level of financial transparency. H0B: An individual’s marital satisfaction is unaffected by their partner’s level of financial transparency. H1B: An individual’s marital satisfaction is positively affected by their partner’s level of financial transparency.
Faculty and staff at a large university in the southeastern United States were recruited (by email blast) in May-June 2022 for our online survey. The initial email of invitation (May 25th, 2022) was followed by two follow-up emails of invitation spaced, respectively, two weeks later and one month later. Each email contained the same instructions. We employed a convenience sample with a total of 163 potential participating faculty and staff. Of these, we received responses from approximately 28%. While low, we felt that this was in keeping with response rates from other comparable surveys during this time, such as the Household Pulse Survey (Peterson et al., 2021). Inclusion criteria required that participants be (1) married or cohabiting for at least five years and (2) in a monogamous relationship. After choosing to participate, the partners were asked to privately complete the survey in a separate and sequential fashion.
Participants were asked to employ an anonymous email address, and their answers were linked to those of their partner through a unique code of the first partner’s choosing. After both partners in the relationship had completed the identical survey, each of them was emailed a $25 Amazon claim code. This procedure ensured confidentiality and survey independence in how partners answered questions in each of their individual surveys.7
Our total sample of first-responding partners who had completed the full survey included 40 individuals; however, 11 of their partners either provided incomplete responses or did not respond at all. Additionally, one partner completed the survey twice. Our final sample thus included 28 couples composed of 56 individuals. Although we did not specifically target couples based on their gender composition, the final sample included exclusively heterosexual couples. As a caveat, we note that it may be difficult to generalise our sample to a larger population with varied incomes and lower levels of education and that our results should be interpreted with this in mind.
In addition to the inclusion criteria, our survey included four sections focused on: (1) happiness in, and strength of, the relationship, (2) confidence regarding one’s financial situation,8 (3) financial transparency and trust, and (4) demographic characteristics.
In the first section, respondents first rated their relationship satisfaction using a seven-option Likert-type item, increasing from “Very dissatisfied” (=1) to “Very satisfied” (=7). They next projected the likelihood of the partnership remaining intact in five years. This value ranged from “Absolutely not/Definitely not” (=1) to “Absolutely/Definitely” (=7).
Participants next ranked their feelings about their finances and their emotional state in reference to these finances (worried, anxious, stressed). We use those questions from the 2018 National Financial Capability Survey (NFCS) conducted by FINRA (Financial Industry Regulatory Authority), a government-authorised not-for-profit organisation that oversees U.S. broker-dealers. FINRA is authorised by Congress to protect and support America’s investors. FINRA’s NFCS has provided data on financial behaviours, attitudes, etc. Those responses to seven questions employed an increasing seven-point Likert scale where 1 = “Strongly disagree” and 7 = “Strongly agree.”
Section three included all 25 questions from Koochel et al.’s (2018) Financial Transparency (and trust) Scale. We were particularly interested in the frequency with which partners engaged in various financial communications, such as planning, keeping records, and deciding together, as well as the frequency with which they engaged in financially trusting behaviours. These would include disclosing earnings or disclosing a bonus. These questions were coded using a five-item response scale ranging from 1 = “Never” to 5 = “Always.”
Finally, following Gudmunson et al. (2007) and Britt et al. (2008), we collected demographic information focused on each participant’s age, number of children, racial identity, and birth nationality (U.S. vs. non-U.S.), as well an open-ended estimate of their household’s net worth.
In addition to examining individual question responses, we also created “scaled” scores focused on “topic areas.” Items were initially rescaled to a numeric value ranging from zero to one prior to employing an arithmetic averaging procedure.9 Specifically, we created these three scales:
(1) Action and Transparency: Composed of twenty-five (five-item response) financial communication questions.
(2) Financial Concern: Composed of four (five-item response) questions related to the participants’ concern for and confidence in their financial situation.
(3) Psychological Worry: Composed of three (seven-item response) questions related to an individual’s emotional reactions to their financial situation.
In the ordinal (ordered) regression analysis, we test for an association between financial disclosure behaviours—financial partnership, transparency, trust & disclosure—with relationship satisfaction. We are interested in both one’s own and one’s partner’s level of satisfaction. Because relationship satisfaction is a categorical variable measured on an ordinal scale, an ordinal regression analysis is the most appropriate functional form. We further believe that determining how our other right-hand-side control variables relate to relationship satisfaction provides valuable insight into couple dynamics in the context of financial transparency.
To be precise, for individual i with partner j, we have:
Relationship Satisfactioni = f(NumKidsi, Agei, Racei, Birth Locationi, Financial Transparencyi,… Financial Transparencyj, Financial Partnershipi, Financial Partnershipj, Financial Concerni,… Trust and Disclosurei, Trust and Disclosurej, TimeInMarriagei, NetWorthi)
Where TimeInMarriagei indicates how long the individuals have been married as specified by time grouping breakdowns. In terms of standard demographic controls, Racei indicates the individual’s race as specified by a Boolean indicator; Agei indicates an individual’s age after categorical breakdowns; Birth Location indicates whether the individual was born in the United States, born abroad to non-U.S. citizens, or born abroad to U.S. citizens; and NumKidsi indicates the number of children in the house in categorical groupings.10 Financial Concerni was created as a scaled average of seven questions related to financial worry/concern (1-7). In terms of money, NetWorth was defined as an individual’s specified Assets-Liabilities ($000), when Assets include cash, saving and checking account balances, real estate property value, retirement money, and cars. The regression specification employed Ln(NetWorth).
In terms of variables from the FTS, the first 18 of the 25 five-option item questions from the Koochel et al. (2020) FTS scale were grouped into the category of Financial Partnership, the next three were grouped into the category of Financial Transparency, and the last four were grouped into the category of Trust and Disclosure. The Financial Transparency variable was derived by reversing the answers to the three financial secrecy questions. For each of these categories, the i or j subscript indicates whether the individual’s feelings or their partner’s were used to construct the variable.11
Our left-hand variable, Relationship Satisfaction, included a set of Boolean indicators for whether the individual was: 1=Very dissatisfied, 2=Dissatisfied, 3=Somewhat dissatisfied,4=Neither dissatisfied nor satisfied, 5=Somewhat satisfied, 6=Satisfied, 7=Very satisfied with their relationship.12
In terms of age, 35-45 year-olds compose almost half of the sample (43%), and a significant majority of respondents fall between the ages of 25 and 55. The sample is also mostly composed individuals identifying as white (71.4%) followed by Asian (14.3%) and Hispanic/Latin (7.1%). Individuals identifying as Asian are overrepresented in our sample compared with the 2023 U.S. Census (6.3%), and individuals identifying as Hispanic are underrepresented in our sample as compared to their representation in the 2023 Census (19.1%).13
Since foreign-born individuals in the 2023 US Census comprise only 13.9% of the overall population and 75% of our sample participants were born in the U.S. or its territories, foreign-born individuals are overrepresented (25%). Nevertheless, it appears that these distributional differences in race and birthplace as compared to the general population are reflective of those in other US Universities (Weber and Yang, 2014).
Respondents also generally have some children living at home, with 43% of respondents reporting that they have two children under the age of eighteen living at home, and 27% reporting three or more children.
Our survey is generally composed of individuals in “happy” relationships, with participants scoring an average of 6.41 on the seven-point Likert scale on relationship satisfaction and 6.75 on the seven-point scale for the likelihood of remaining together for at least five years. The scores are also relatively concentrated, with a narrow spread (s.d. ~ 1) on relationship satisfaction and an even narrower spread on relationship longevity (s.d.=.61). This last piece of information indicates that not only are respondents generally happy, but there are also a few unhappy outliers in the data.
In terms of Financial Concern, this scaled variable has a mean value of 3.2, and a standard deviation of 1.1. It ranges in value from a low of one to a high of 5.43. We take this as evidence that individuals were not particularly concerned or unconcerned with their finances.
Participants also reported that they “occasionally” engaged in financial partnership activities (average score of 3.2, s.d. 0.95), and they were very transparent in their financial transactions, purchases, and spending, with an average financial transparency score of 4.6. Finally, values for our trust and disclosure activity score are also relatively high (average of 4.3). We take this as evidence of moderate levels of both financial transparency and financial trust displayed by the couples in our sample.
Table 3 displays both the coefficient estimates and the related odds ratios stemming from our ordinal regression analysis.14 One important analysis method we employed is called the “test of parallel lines.” The associated null hypothesis is that the slope coefficients are identical across the various response categories. Since we failed to reject the null hypothesis, there is some evidence for a similar association between financial partnership, transparency, and trust and disclosure with the level of relationship satisfaction. As one example of an important association, when financial concern increased by 1 unit, relationship satisfaction had a 94% probability of decreasing by one category. Despite our interpretation, however, we note the possibility that couples who always disclose or plan with their partners may, in fact, be more subject to ‘control’ or ‘distrust’ rather than true partnership, and this may explain some of our later negative correlations between relationship satisfaction and either trust or financial partnership.15
Variable Distribution
| Panel A: Age | |||
|---|---|---|---|
| Age category | Frequency | Percent | Cum Percent |
| 1=18~25 | 3 | 5.4 | 5.4 |
| 2=25~35 | 13 | 23.2 | 28.6 |
| 3=35~45 | 24 | 42.9 | 71.4 |
| 4=45~55 | 12 | 21.4 | 92.9 |
| 5=55~65 | 3 | 5.4 | 98.2 |
| 6= >65 | 1 | 1.8 | 100.0 |
| Total | 56 | 100.0 | |
| Panel B: Race | |||
| Race | Frequency | Percent | Cum Percent |
| 1=White/Caucasian | 40 | 71.4 | 71.4 |
| 2=Hispanic/Latin | 4 | 7.1 | 78.6 |
| 3=Black/AfrAm | 1 | 1.8 | 80.4 |
| 4=Asian | 8 | 14.3 | 94.6 |
| 5=Other | 3 | 5.4 | 100.0 |
| Total | 56 | 100.0 | |
| Panel C: Birth location | |||
| Birth location | Frequency | Percent | Cum Percent |
| 1= US/Territories | 42 | 75.0 | 75.0 |
| 2=Outside US Citizen parents | 1 | 1.8 | 76.8 |
| 3=Outside US non-citizen parents | 13 | 23.2 | 100.0 |
| Total | 56 | 100.0 | |
| Panel D: Number of children under 18 living at home | |||
| Number of children | Frequency | Percent | Cum Percent |
| 0 | 13 | 23.2 | 23.2 |
| 1 | 4 | 7.1 | 30.4 |
| 2 | 24 | 42.9 | 73.2 |
| 3 | 9 | 16.1 | 89.3 |
| 4 | 4 | 7.1 | 96.4 |
| 5 or more | 2 | 3.6 | 100.0 |
| Total | 56 | 100.0 | |
Summary Statistics
| (n = 56) | Min | Max | Mean | Std. Dev | |
|---|---|---|---|---|---|
| You have been part of the relationship in question for how long? | 1=1~6years | 1 | 4 | 2.79 | 1.155 |
| 2=7~12 | |||||
| 3=12~16 | |||||
| 4= >16 | |||||
| If you had to rate your relationship satisfaction/quality, it would be | 1=Very dissatisfied | 2 | 7 | 6.41 | 1.041 |
| 2=Dissatisfied | |||||
| 3=Somewhat dissatisfied | |||||
| 4=Neither dissatisfied nor satisfied | |||||
| 5=Somewhat satisfied | |||||
| 6=Satisfied | |||||
| 7=Very satisfied | |||||
| In your opinion, the Likelihood that you will be with your partner in 5 years is: | 1=Absolutely not | 4 | 7 | 6.75 | 0.611 |
| 2=Extremely unlikely | |||||
| 3=Unlikely | |||||
| 4=Unsure | |||||
| 5=Likely | |||||
| 6=Extremely likely | |||||
| 7=Absolutely | |||||
| Financial Concern: Average of 7 worry/concern variables | 1.00 | 5.43 | 3.2015 | 1.1188 | |
| Financial Partnership: Average of 18 variables from Koochel et al. (2020) | 1.22 | 5.00 | 3.2321 | 0.9518 | |
| Financial Transparency: Average of 3 reversed “Financial Secrecy” variables1 | 2.00 | 5.00 | 4.5536 | 0.7143 | |
| Trust & Disclosure: Average of 4 related variables | 1.00 | 5.00 | 4.2768 | 0.8403 | |
Value of 5 denotes ‘Never Lie.’
Source: AUTHOR CALCULATIONS.
Ordinal Regression
| Estimate | SE | Sig. | Odds Ratio | ||
|---|---|---|---|---|---|
| Financial Worry | –2.840 | 0.850 | 0.001 | 0.058 | |
| NumKids | 1.343 | 0.493 | 0.006 | 3.830 | |
| Ln(NetWorth) | –0.337 | 0.327 | 0.302 | 0.714 | |
| Financial Transparency (self) | 0.240 | 0.305 | 0.431 | 1.272 | |
| Financial Transparency (partner) | 0.818 | 0.347 | 0.018 | 2.267 | |
| Financial Partnership (self) | –0.170 | 0.067 | 0.011 | 0.844 | |
| Financial Partnership (partner) | –0.008 | 0.042 | 0.855 | 0.992 | |
| Trust and Disclosure (self) | –0.498 | 0.265 | 0.060 | 0.608 | |
| Trust and Disclosure (partner) | –0.547 | 0.344 | 0.112 | 0.579 | |
| Marriage Length: 1~6 years | 3.440 | 2.193 | 0.117 | 31.192 | |
| Marriage Length: 7~12 years | 2.965 | 1.478 | 0.045 | 19.395 | |
| Marriage Length: 12~16 years | 1.100 | 1.301 | 0.398 | 3.005 | |
| Marriage Length: >16 years | 0a | ||||
| Age=1 | –3.352 | 3.590 | 0.350 | 0.035 | |
| Age=2 | –0.028 | 2.982 | 0.992 | 0.972 | |
| Age=3 | –0.448 | 2.550 | 0.861 | 0.639 | |
| Age=4 | –0.601 | 2.292 | 0.793 | 0.548 | |
| Age=5 | 23.515 | 8109.108 | 0.998 | 1.631*1010 | |
| Age=6 | 0a | ||||
| Race=1 | –18.439 | 7322.549 | 0.998 | 0.000 | |
| Race=2 | –18.784 | 7322.549 | 0.998 | 0.000 | |
| Race=3 | –3.304 | 0.000 | 0.037 | ||
| Race=4 | –21.713 | 7322.549 | 0.998 | 0.000 | |
| Race=5 | 0a | ||||
| Pseudo R2: | Cox and Snell= | 0.481 | Nagelkerke= | 0.568 | McFadden= 0.349 |
| Chi2= | 36.736 | Df= | 21 | Sig.= 0.018 | |
| Test of Parallel Lines | –2 Log Likelihood | Null Hypo | 68.618 | General 38.285 | |
| Chi2= 30.333c | Df= | 42 | Sig.= 0.910 |
The dependent variable, Satisfaction, denotes the answer to the question ‘If you had to rate your relationship satisfaction/quality, it would be: 1=very dissatisfied, 2=dissatisfied, 3=somewhat dissatisfied, 4=neither dissatisfied nor satisfied, 5=somewhat satisfied, 6=satisfied, 7=very satisfied.’
Source: Author Calculations.
Regarding our primary research hypotheses, we find evidence for rejecting both H0A and H0B. In particular, it appears that one’s level of financial transparency relates positively with that person’s level of relationship satisfaction. It is also the case that one’s partner’s financial transparency relates positively with that individual’s own level of relationship satisfaction. Specifically, increasing the partner’s financial transparency score by one point means that the individual is 127% more likely to experience a one-point increase in their own marital satisfaction. In short, individuals who are more open and transparent with their partner about their finances tend to be happier with the relationship themselves and also have partners who are more satisfied with the relationship. Our findings underscore the importance of couples engaging in open and honest financial conversations to help increase transparency and, ultimately, increase relationship satisfaction.
It is also the case that financial partnership relates negatively to relationship satisfaction, while trust and disclosure have a weakly negative correlation with relationship satisfaction. Although the negativity of both relations is surprising, the relative sizes of the effects are small. Changing financial partnership or trust and disclosure by 1 unit means that there is only a 15% or 40% likelihood that relationship satisfaction will decrease by one level. This implies very little in the sense of behavioural implications since we have below a 50% chance of changing levels at all. It is also possible that the relatively higher correlation between financial partnership and trust & disclosure (.53) may be partially responsible for these results.
As a final point, the length of the relationship and the number of children under 18 living at home are each positively related to an individual’s relationship satisfaction. In contrast, neither age, net worth, nor race showed any significant correlation with relationship satisfaction. We take the first point as potential evidence of self-selection in terms of individuals choosing to have children and stay together for longer period of time when they are happier with the relationship. The lack of statistical relationship for age and race with satisfaction, controlling for length of the relationship, makes sense, since age should not have a significant impact, and the lack of impact in race implies no discernible community-level patterns. In contrast the lack of a significant relationship with net worth may imply the need for a more precise estimator, such as household income.16
Our findings suggest that financial secrecy in couples relates negatively to one’s partner’s relationship satisfaction. One potential pathway is that deceiving one’s partner in terms of finances erodes trust, and the resulting sense of betrayal will hinder open communication. This lack of communication will ultimately decrease relationship satisfaction. Nevertheless, this is not the only potential pathway for the stated correlations, and bidirectional pathways are possible. For example, when individuals feel dissatisfied in their relationship, they may be more inclined to engage in less transparent financial behaviours, such as hiding or lying about spending. The lack of financial transparency could in fact result from, rather than cause, dissatisfaction in the relationship and a desire to exert control or independence. It is also possible that some omitted factors simultaneously influence financial transparency and relational satisfaction. This variable may arise from any of the individual characteristics, external circumstances, or from other relational dynamics.
Due to our study’s relatively small sample size, more sophisticated tests of causality are not available, and we would require additional larger samples to potentially structure more sophisticated analyses. These structural equation models or longitudinal designs could better account for the potential endogeneity and simultaneity of the relationship between financial transparency and relational satisfaction. These tests would also serve to enhance the reliability and generalisability of findings.
On a related note, having a larger sample size and employing an additional qualitative approach to understand how partners understand and interpret the survey would be beneficial. To be precise, this type of future study would allow us to further explore the possibility that individuals who ‘always’ plan and discuss every purchase with their partners may see this as overkill rather than as a method of collaborative planning and communication.
It is also the case that our sample is relatively skewed in terms of (1) a design including a greater number of higher income and higher education participants, (2) more Asian, foreign-born, and heterosexual individuals, and (3) higher age and higher net worth individuals. As a result, our findings may not necessarily generalise to the population at large or to lower-income groups. Furthermore, the lower correlation between Relationship Satisfaction and net worth may imply that net worth is not an adequate estimator of income and future questionnaires should be more precise in focusing on household income. In terms of Relationship Satisfaction, the smaller range of responses obtained in response to this query implies that the individuals choosing to participate in our study are likely self-selecting and enjoy greater satisfaction in their relationships than does the population at large.
While our research is seminal in being one of the very first empirical analyses on the topic, we would suggest replication analyses using larger sample tests as the next logical research focus.
Our work provides several practical implications for both consumers and finance professionals. First, our results are in keeping with others in the literature, indicating that Financial Concern and Financial Worry relate to higher marital dissatisfaction, and individuals should be aware of this pattern (Wheeler and Brooks, 2022). Second, it appears that individual consumers may be able to foster greater relationship satisfaction for their partners by increasing their level of financial transparency. Finally, in terms of professional interventions, financial planners and couples’ therapists should consider altering their counselling approach depending on whether they are working with just one or with both partners in the relationship. We offer this suggestion since one partner’s financial secrecy—such as a lack of transparency—has the potential to damage the other partner’s relationship satisfaction. These issues may become particularly apparent when both individuals are involved in the counselling process.