Introduction

Families are seen as systems constructed through the exchanges and interactions between the different units that make them up, namely the subsystems. These include the individual, conjugal, parental, and fraternal subsystems (^{Fruggeri, 2016}; ^{Minuchin & Fishman, 2006}). At the same time, dyads such as wife-husband, parent-child are subsystems and can be made up of the interests, sex, or their function (^{Minuchin, 1985}).

Family stress represents a tension in the family system (^{Boss, Bryant, & Mancini, 2017}). This stress can arise from normative or non-normative events that require the family to adapt to preserve its homeostasis (^{Chaney, 2020}). Family coping is the ability to mobilize internal and external resources to act in the face of a problem, searching for solutions that minimize or neutralize the impact an event has; in this case, family coping can be adaptive or non-adaptive (^{González & Lorenzo, 2012}). From the ABC-X model, family coping interacts with the meanings and resources, and it includes the concrete efforts to manage stressful events (^{Price, Price, & McKenry, 2016}).

The ABC-X model (^{Hill, 1971}; ¹⁹⁸⁶) allows for the analysis of factors that determine the relationships between stressful events and family crises. In this model, A represents the stressor, usually a change or event that could trigger a crisis. B represents the resources that the family has to moderate the impact from the stressor, avoid a crisis, or face it. C represents the perception of the stressful event, how manageable it is for the family, and if it represents an opportunity for growth or disaster. Finally, X represents the result from the interaction between A, B, and C, and the degree in which the stressful event precipitates a crisis or adaptation in the family (^{Rosino, 2016}; ^{Wilmoth & Smyser, 2009}).

According to the ABC-X model (^{Hill, 1971}; ¹⁹⁸⁶), there are two possible responses to stress: either a good response or a bad one. A good adaptation response in the family system shows alterations to the internal functions such as behaviors, rules, roles, and perceptions; however, they all achieve proper family operations (^{Price et al., 2016}). Therefore, family resources act as mediators of the impact of the pandemic and its health measures, as they are internal attributes that protect the family and promote adaptation (^{Lavee, McCubbin, & Patterson, 1985}; ^{Price et al., 2016}). The perception of whether or not the pandemic is a manageable event, and a situation from which one can learn from influences (^{Lavee et al., 1985}; ^{Price et al., 2016}) the psychological reactions (depressive symptoms and anxiety) in the family unit (^{Haider, Tiwana, & Tahir, 2020}).

The COVID-19 pandemic can be understood as a stressful event, whose outcome may represent a crisis. Families regularly respond to maladaptive behaviors such as disorganization, evasive behaviors, and interpersonal violence within the family system (^{Rosino, 2016}). Violence is associated with social distancing, which is imposed as a health measure and impacts how family members access support and the separation of relationships (^{John, Casey, Carino, & McGovern, 2020}; ^{Kim & Zulueta, 2020}; ^{Usher, Bhullar, Durkin, Gyamfi, & Jackson, 2020}). Furthermore, the economic crisis as a result of the pandemic can increase parental anguish, domestic violence, and violence towards children, creating a cascading effect that places a child and their ability to cope in danger (^{Cluver et al., 2020}; ^{Fraenkel & Cho, 2020}; ^{Prime, Wade, & Browne, 2020}).

How families respond to a stressful event, namely their coping strategies were studied mainly in the case of normative stressful events (^{Daneshpour, 2017}; ^{González & Lorenzo, 2012}; ^{Janis, Callahan, Shelton, & Aubuchon-Endsley, 2016}; ^{Wilmoth & Smyser, 2009}). This includes, for instance, families where there are members with chronic illnesses (^{Coppetti et al., 2019}; ^{Nabors et al., 2018}; ^{Park & Choi, 2017}; ^{Rolland, 2000}; ^{Schaffiner, 2014}), autism (^{Krakovich, McGrew, Yu, & Ruble, 2016}), elderly abuse perpetrated by informal caregivers (^{Lee, 2009}), and those with disabilities (^{Ricketts, 2020}). The topics of most interest have been how parents cope (^{Craig et al., 2019}) and the role of informal caregivers or caretakers (^{Murphy, Nalbone, Wetchler, & Edwards, 2015}). Studies that focus on non-normative events allude to the impact of natural disasters, such as fires, tsunamis and hurricanes (^{Felix et al., 2015}), wars (^{Rosino, 2016}) and factors that favor resilience (^{Vigil & Geary, 2008}). Meanwhile, family coping strategies in the face of a pandemic allude to the 2009 H1N1 influenza, where studies explored the reaction of fear amongst children (^{Remmerswaal & Muris, 2011}), and the perception of risk amongst parents (^{Prati, Pietrantoni, & Zani, 2011}). Regarding the COVID-19 pandemic, there are some Mexican instruments such as the one by ^{Ramos-Lira et al. (2020)} that describe the coping strategies and the emotional responses of the Mexican population to in the face of the quarantine. The ^{Zamarripa et al. (2020)} instrument measures the level of stress caused by social distancing depending on the sex of the person, whilst the instrument by ^{Torres et al. (2020)} describes the socio-family changes in adults (parents of children between one and 12-years-old). However, there is no instrument that describes families coping strategies by subsystems in the face of the current pandemic.

The above literature review demonstrates that while different instruments exist to measure family coping in the face of stressful events, such as the Family Crisis-Oriented Evaluation Scale (F COPES; ^{McCubbin, Thompson, & McCubbin, 1997}), the Short Cope inventory (Inventario Breve de Cope; ^{Carever, 1997}), the Stress Coping Checklist (^{Lazarus & Folkman, 1984}), none of them has focused on pandemics. They have also not been adapted for the Mexican population.

Following the previous section, the objective of the present study was to construct a valid and reliable scale to measure family coping strategies, both adaptive and maladaptive, in the face of the COVID-19 pandemic.

Method

Results

The sample was comprised by a total of 558 participants, of which 19% were men and 81% were women. Two subsamples were selected at random with an equivalent number by sex for each of the analysis.

The exploratory factor analysis was conducted with a subsample of 318 participants, of which 159 were men and 159 were women. This number exceeded the required number of respondents necessary per item (at least five) for psychometric validity (^{Nunnally & Berstein, 1995}). There was no missing data. Participants in this subsample were between 18 and 77 years old, with a mean of 34 years old. 49% of the sample had a bachelor’s degree and 27% a high school degree; 35% were professionals, and 30% students; 47% were single and 36% married. A total of 143 of the participants belonged to nuclear families, 99 participants belonged to extended families, 40 belonged to families without children, 29 participants were single parents, and seven participants belonged to reconstituted families.

A reliability analysis was conducted for each theoretical dimension. The corrected item-total correlations below .3 were considered low. This procedure allowed for the rejection of items 2, 9, 15, 19, 21, 22, 23, 24, 25, 36, and 41. A principal component analysis with orthogonal rotation was conducted through which items with factorial weights lower than .3 were excluded, which had no theoretical congruence within the factor and groupings of less than three items in a factor. These were items 10, 18, 20, and 40.

The value of the McDonald’s omega from the factor analysis of the 33 items from the scale was .90 and was made up of six factors which can be seen in Table 1. Bartlett’s test of sphericity was significant (7522.37, df = 528, p  <  .001), and the Kaiser-Meyer-Olkin measure of sampling adequacy was adequate (.891). The eigenvalues higher to one showed the existence of six factors. This solution converged with eight iterations and explains 67.27% of the variance.    

The exploratory factor analysis shows evidence of construct validity. However, to verify the factor structure, a confirmatory factor analysis was conducted with structural equations modeling using the program AMOS 24.

For the confirmatory factor analysis, 240 participants were selected (120 men and 120 women). This is a large enough sample for a maximum verisimilitude analysis (^{Byrne, 2016}). There was no missing data. The age of participants ranged between 18 and 72 years old, with a mean of 35.4 years old. 52% had a bachelor’s degree and 20% a high school degree; 36% were professionals and 23% students; 45% were single and 39% married. 111 participants belonged to nuclear families, 68 participants belonged to extended families, 29 participants were single-parent families, and six participants belonged to reconstituted families. In order to have adjustment indicators within the established parameters, items 11, 12, 13, 14, 14, 17, 17, 34, 35, 38, 39, 44, and 45 were eliminated, as these items accumulated a large amount of error.

The confirmatory factor analysis made up of 23 items and six factors showed a χ²/df = 2.0, GFI = .85, CFI = .92 RMSEA = .06 and SRMR = .06, as well as a TLI of .91, which indicates that at least 91% of the covariance of the data can be reproduced by the model. These indicators allow for the assertion that the model has a good fit (^{Bentler, 1990}; ^{Byrne, 2016}; ^{Hu & Bentler, 1999}). The standardized factor weights and the covariances between the factors are shown in Figure 1.    

Figure 1  Confirmatory factor analysis model (n = 240)Chi-Square = 447.79, df = 215, p = .001. 

The six factors consist of the following:

McDonald’s omega value was .802 for the final scale, composed of 23 items. McDonald’s omega for Factor 1 = .908, Factor 2 = .948, Factor 3 = .848, Factor 4 = .812, Factor 5 = .860 and Factor 6 = .694 (^{Hair et al., 2019}).

A Student’s t-test was done to understand if the total score or the found dimensions from the validity process tended to vary depending on the sex of participants using the same sample that was used for the confirmatory factor analysis. Results from the analysis did not show any significant differences for the subdimensions or the total scores. These results can be seen in Table 2.    

Discussion and conclusion

The instrument shows an adequate theoretical grouping and a well-explained variance above 50%. The McDonald’s omega of Factors 1 (.924), 2 (.923) and 3 (.926) showed an excellent reliability. Factors 4 (.775) and 5 (.805) showed adequate reliability above the norm (above .7; ^{Hair et al., 2019}). Factor 6 (.679) showed a reliability below .7, which is an acceptable alpha value because the factor has adequate content validity and less than 10 items (^{Loewenthal, 2001}). At the same time, it is important to consider that this is an exploratory study (^{Nunnally & Berstein, 1995}).

The final items show adequate theoretical congruency and good fit indicators. Factors 1, 2, 4, and 6 allude to adaptive family coping in the face of the pandemic. Factors 1 and 6 refer to the total family system (^{Minuchin & Fishman, 2006}). Factor 2 corresponds to the conjugal subsystem and Factor 4 to the fraternal subsystem. Therefore, the family resources were differentiated by studying the subsystem. This highlights the complexity of being a part of a subsystem with certain characteristics depending on the functions of each member with the objective of preserving the continuity of the family system.

Factors 3 and 5 imply family maladjustment, the former refers to violence in the conjugal subsystem. Factor 3 was also identified in couples during the pandemic in other studies (^{Fraenkel & Cho, 2020}). Factor 5 corresponds to conflictive interactions in relationships between the parental and children subsystems. This can be explained from the need for the boundaries between the subsystems to be clear in order to achieve better behavioral control of children, without the need to use coercion or violence (^{Epstein, Baldwin, & Bishop, 1983}; ^{Minuchin, 1985}).

A relevant fact to mention is that items regarding coping communication strategies and support between family members were combined to create the “Communication and Family” support system Factor. This is because through communication the family members can express their needs of material or emotional support. Something similar can be observed in the Family Adaptability and Cohesion Evaluation Scale, where communication is the link between cohesion and flexibility within the family, allowing family members to recognize and demonstrate their support needs (^{Martínez-Pampliega, Merino, Iriarte, & Olson, 2017}).

Concerning coping strategies of the conjugal subsystem, two main strategies were found, one oriented towards physical and psychological violence, and the other towards collaboration and conjugal support. The latter refers to couples having fun, talking, and supporting each other. When a couple faces conflict, they can deal with it positively or negatively. Dealing positively means that there is a conciliation of different points of view in an environment of creativity with openness to search for new solutions. However, when conflict is dealt with negatively, there is a struggle between opponents in a destructive environment (^{Rodríguez Estrada & Ramos Silva, 1988}). Regarding couple violence, it could be considered situational violence within the couple, meaning that it is symmetric and two-way, and emerges from conflict and tends to increase if it is not solved (^{Méndez-Sánchez & García-Méndez, 2015}). Nevertheless, it is important to focus on the increase of violence against women and girls during the current COVID-19 pandemic and how it is linked to quarantine measures. Similarly, the increase of violence against women and girls was also found by researchers during the Ebola pandemic in East Africa (^{John et al., 2020}).

Regarding coping strategies of the fraternal subsystem, the three initial items were maintained kept, comprising of fraternal support. Social support between siblings at the beginning of childhood has a particularly important role for adjustment during this time. Social support between siblings is also linked to the acceptance of peers, social competency, academic commitment, and mental health in adulthood (^{Feinberg, Solmeyer, & McHale, 2012}).

Based on the theoretical evidence of model the ABC-X (^{Hill, 1971}; ¹⁹⁸⁶) and the family structure (^{Minuchin, 1985}), it was considered important to describe the coping strategies that made up the final version of the instrument. The adaptive resources are communication and support from the family system, which refer to the expression of affective needs and support between all the family members clearly and directly (^{Epstein et al., 1983}; ^{McCubbin et al., 1980}). Collaboration and conjugal support, a resource from the conjugal subsystem, aids in the adaptation to new situations (^{Rosino, 2016}) through teamwork and decision making considering two positions; fraternal support, which includes siblings and favors adequate coping with a stressful event through fellowship and relationships of collaboration, sharing, negotiation, envy, and peer fights (^{Eguiluz, 2004}; ^{Minuchin, 1985}). The second position, reorganization of family roles, refer to the clarity regarding the hierarchies and internal functions of each family member of the family system (^{Wilmoth & Smyser, 2009}).

At the same time, non-adaptive strategies (behavioral and relational difficulties) are conjugal violence, referring to behaviors and ways of relating between the spouses that cause direct damage to the total family system (^{Price et al., 2016}); conflictive mother-child interactions, comprising ways of behaving and relating to each other that generate difficulties to establish limits between the parental and filial subsystems (^{Epstein et al., 1983}).

Despite the virtual application, the results were not affected as scientific evidence demonstrates that there are no differences between paper and pencil applications and electronic applications in their psychometric structure (^{Barrigón et al., 2017}; ^{Campbell, Ali, Finlay, & Salek, 2015}). This makes it a good research practice (^{Mental Health Commission of Canada, 2014}).

However, the present study had limitations such as the sensitivity of the sample. A suggestion would be to improve the indices of fit of the model through restructuring the items and creating new items and open questions or other exploratory techniques that allow for the investigation of the construct of family coping in this population for future research. Additionally, the application of these items focused on the evaluation of this sole stressful non-normative event, without considering other stressors that could generate a family crisis such as the passing of a family member after coming down with the virus. Nevertheless, this is an initial contribution to research that evaluates the family coping strategies in the face of a non-normative crisis, such as the emergence of a chronic illness in a family member, a natural disaster, a divorce, unemployment, among others, and is therefore vital, especially now during the COVID-19 pandemic.

The statistical data allows for the conclusion that this scale possesses adequate psychometric properties to be used in the Mexican population. A fundamental contribution of this instrument is that it can be used to evaluate every type of family, as it identifies both general coping strategies of the whole subsystem and specific strategies in the different subsystems. At the same time, the instrument helps to integrate diverse family configurations different from nuclear families. While there are instruments in Mexico that evaluate coping (^{Balcázar, Bonilla, Gurrola, Trejo, & Zanatta, 2008}; ^{González, 1992}; ^{López, Reyes-Lagunes, & Rivera, 1998}) and coping in the face of the COVID-19 pandemic (^{Ramos-Lira et al., 2020}), researchers did not find any instruments that measures family coping in the face of a pandemic from the ABC-X model, or the systemic family perspective, highlighting the relevance of the present study.