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Relationship science

Relationship science is an interdisciplinary field dedicated to the scientific study of interpersonal relationship processes. Due to its interdisciplinary nature, relationship science is made up of researchers of various professional backgrounds within psychology and outside of psychology, but most researchers who identify with the field are psychologists by training. Additionally, the field's emphasis has historically been close and intimate relationships, which includes predominantly dating and married couples, parent-child relationships, and friendships and social networks, but some also study less salient social relationships such as colleagues and acquaintances.

History
Early 20th century Empirically studying interpersonal relationships and social connection traces back to the early 20th century when some of the earliest focuses were on family relationships from a sociological perspective—specifically, marriage and parenting. In 1938 the National Council on Family Relations (NCFR) was formed and, in 1939, what is now the Journal of Marriage and Family (JMF) was established to publish peer-reviewed research with this emphasis. In the 1930s, 1940s, and 1950s, researchers such as John Bowlby, Harry Harlow, Robert Hinde, and Mary Ainsworth began pursuing the study of mother–infant attachment. In 1949, Reuben Hill developed the ABC-X model, which is a theoretical framework used to examine how families manage and adapt to crises given the resources they have. Then, in the late 1950s and early 1960s, the purview of relationship research began to expand more, beyond the idea of just family research. In 1959, Stanley Schachter published the book The Psychology of Affiliation: Experimental Studies of the Sources of Gregariousness, where he discussed humans' general affiliative needs and how they are intensified by biological responses (e.g., anxiety and hunger). That same year, Harold (Hal) Kelley and John Thibaut published a book, The Social Psychology of Groups, that outlined interdependence theory—an interdisciplinary theory that would become an essential framework for understanding close relationships from a cost-benefit perspective in the years to come. However, this prior interest in relationships was infrequent, and it was not until the late 1960s and early 1970s that the study of relationships truly began to blossom and gain popularity, which was in large part due to the influence of Ellen Berscheid and Elaine Hatfield. 1960s to 2000s Roughly two decades after the aforementioned work of Hill and a decade after the works of Schachter, Kelley, and Thibaut, Ellen Berscheid and Elaine Hatfield (professors at the Universities of Minnesota and Wisconsin, respectively) began studying how two individuals become attracted to one another. Yet, their work went beyond just attraction and began to explore other domains such as the processes of choosing a romantic partner and falling in love, and the centrality of relationships in human health and well-being. Meanwhile, researchers from across different disciplines had begun to dedicate themselves to the study of relationships. Along with the fast growing interest came high-impact works. Urie Bronfenbrenner's late 1970s and mid-1980s social–ecological model established key principles that researchers would eventually use ubiquitously to study the impact of socio-contextual factors on relationships. Graham Spanier published the Dyadic Adjustment Scale (DAS) in JMF, which is currently the most widely cited scale of intimate relationship quality. John Bowlby's attachment theory, formalized in the late 1960s and early 1970s, laid the groundwork for the study of parent–child relationships and also helped shape the study of adult relationships in the field. Notably, in 1983, Harold Kelley, Ellen Berscheid, Andrew Christensen, Anne Peplau and their colleagues wrote the book Close Relationships, which provided a comprehensive overview of the field of relationship science in its early stages, and identified the typologies of relationships studied. Also in the 1980s and into the 1990s, Toni Antonucci began exploring friendships and social support among adults, while Arthur Aron was examining the role of relationships with romantic partners, siblings, friends, and parents in individual self-expansion. Additionally, Thomas Malloy and David Kenny developed the social relations model (an early analytic approach to understanding the roles of a person and their partner in their interactions) and Kenny later published his work on Models of Non-independence in Dyadic Research in 1996. With a growing interest in marriage and family therapy in relationship science, in the late 1980s and 1990s, researchers such as Howard Markman, Frank Floyd, and Scott Stanley began developing romantic relationship (with a primary focus on marriages) interventions; specifically, in 1995, Floyd and colleagues published the program they developed, called Prevention Intervention and Relationship Enhancement (PREP). Interest in and development of relationship education programming increased in the 2000s due to state and federal Healthy Marriage Initiatives, which allocated grant funding to support programming that would impact disadvantaged communities. Although there were many theoretical and empirical contributions of the 1970s and 80s, the professional evolution of relationship science was simultaneously taking place. The first international conference specifically dedicated to relationship processes took place in 1977 in Swansea, Wales, hosted by Mark Cook (a social psychologist) and Glen Wilson (a psychotherapist). In 1982, the first of the eventually bi-annual International Conference of Personal Relationships (ICPR) took place in Madison, Wisconsin, under the direction of Robin Gilmour and Steve Duck, with about 100 attendees. Two years later, in 1984, the International Society for the Study of Personal Relationships (ISSPR) was borne out of the ICPR and the Journal of Social and Personal Relationships, the first peer-reviewed journal unique to the field of relationship science, was established. Then in 1987, the Iowa Network of Personal Relationships (which would later be known as the International Network of Personal Relationships; INPR) was formed and Hal Kelley was elected president of ISSPR that same year. Here, Berscheid took the opportunity to close out the 20th-century with an overview of the field's past, present, and future. She described the uniqueness and benefits of a well-integrated interdisciplinary field and the advancements that have cemented the field as an "essential science". 2000s The year 2000 included new developments in the field such as Nancy Collins and Brooke Feeney's work on partner support-seeking and caregiving in romantic relationships from an attachment theory perspective, and Reis, Sheldon, Gable, and colleagues' article "Daily Well-being: The Role of Autonomy, Competence, & Relatedness". A couple of years later, Rena Repetti, Shelley Taylor, and Teresa Seaman published work that addressed some of Berscheid's 1999 article concerns as well as used health psychology perspectives to inform relationship science. They empirically demonstrated the negative effects of family home environments with significant conflict and aggression on the mental and physical health of individuals in both childhood and adulthood. In 2007, Harry Reis published "Steps Toward the Ripening of Relationship Science", an article inspired by Ellen Berscheid's 1999 article, that recapped and made suggestions for furthering the field. Reis argued the need for integrating and organizing theories, for paying more attention to non-romantic relationships (the primary focus of the area) in research and intervention development, and the use of his theory of perceived partner responsiveness to enable this progress. Additionally, in 2018, Emily Impett and Amy Muise published their follow-up to Berscheid's article, "The Sexing of Relationship Science: Impetus for the Special Issue on Sex and Relationships". Here, they called on the field to draw more attention to and place greater weight on the role of sexual satisfaction; they identified this area of research as nascent but fertile territory to explore sexuality in relationships and establish it as an integral part of relationship science. == Types of relationships studied ==
Types of relationships studied
The field recognizes that, for two individuals to be in the most basic form of a social relationship, they must be interdependent—that is, have interconnected behaviors and mutual influence on one another. Personal relationships A relationship is said to be personal when there is not only interdependence (the defining feature of all relationships), but when two people recognize each other as unique and unable to be replaced. == Theories ==
Theories
Social exchange theory Social exchange theory was developed in the late 1950s and early 1960s as an economic approach to describing social experiences. It addresses the transactional nature of relationships whereby people determine how to proceed in a relationship after assessing the costs versus the benefits. They described this as having practical and important implications for commitment in a relationship such that those less satisfied by and less dependent on their partner may be more inclined to end the relationship (e.g., divorce, in the context of a marriage). The investment model (later known as the 'investment model of commitment processes') directly adopts the principles of interdependence theory and extends it by asserting that the magnitude of an individual's investment of resources in the relationship increases the costs of leaving the relationship, which decreases the value of alternatives, and therefore increases commitment to the relationship. However, it was notably articulated by Albert Bandura in his 1971 book, Social Learning Theory. It is closely related to social exchange theory (and the subsequently developed interdependence theory), but focuses more on drawbacks and rewards found directly in behavior and interactions (e.g., distant vs. displays affection) opposed to broad costs and benefits. Coercion theory focuses on why people end up in and stay in unhealthy relationships by explaining that individuals unintentionally reinforce each other's bad behaviors. Their research found that not only were attachment styles (i.e., secure, avoidant, anxious/ambivalent) relatively stable from infancy and into adulthood, but that these three major styles predicted the ways in which adults experienced romantic relationships. Their work found three dimensions and investigated the extent to which they applied to individual self-esteem, trust, etc. as well as gender differences in their relevance to relationship quality in dating couples. Chris Fraley's work on attachment includes a prominent study that used item response theory (IRT) to explore the psychometric properties of self-report adult attachment scales. His findings indicated very low levels of desirable psychometric properties in three out of four of the most commonly used adult attachment scales. Researchers have also considered the theory of parental investment, where females (compared to males) have more to lose and ancestrally were therefore more selective in mate selection; this is one facet of many observed sex differences in mate selection where male and females seek and prefer certain traits. David Buss has extensively studied sex differences in cross-cultural mate selection, jealousy, and other relationship processes through research that integrates evolutionary perspectives with socio-cultural contexts (e.g., "Sex differences in human mate preferences: Evolutionary hypotheses tested in 37 cultures"; "Sex differences in jealousy: Evolution, physiology, and psychology", etc.). Additionally, Jeffry Simpson and Steven Gangstead have published widely cited work on relationship processes from an evolutionary lens, including research on human mating that discusses trade-offs (faced by females selecting a mate) between a potential mate's genetic fitness for having children and their willingness to help in child-rearing. Social ecological theories Social ecology—derived from sociology and anthropology—approaches the study of people in a way that considers the environment or context in which people live. It was first developed to apply to child development, but has been widely applied in relationship science. The second level is the mesosystem, which considers the combined effects of two or more contexts/settings. Researchers in relationship science have used social ecological models to study changes and stressors in relationships over time, and how couples, families, or even friends manage them given the contexts they evolve in. == Methodologies ==
Methodologies
Relationship science has relied on a variety of methods for both data collection and analysis. Self-report data Relationship science relies predominantly on individuals' self-reported evaluations and descriptions of their own relationship processes. Longitudinal data A cornerstone of the research done in relationship science is the use of multi-wave assessments and subsequent repeated measures design, multi-level modeling (MLM), and structural equation modeling (SEM). Interdependent and dyadic data An important turning point in the analytic approach to studying relationships came at the advent of statistically modeling interdependence and dyadic processes—that is, studying two individuals (or even two groups of individuals) simultaneously to account for the overlap in or interdependence of relationship processes. This book includes information and instructions on using MLM, SEM, and other statistical methods to study both between and within dyad phenomena. Common fate model The common fate model is a method of estimating not how two people influence one another, but how two people are similarly influenced by an external force. Dyadic means are computed for both the independent and dependent variable to estimate the effects of the dyad as a single unit. The between-dyad correlations are adjusted by the within-dyad correlations in order to remove individual-level variation. The two partners' predictor and outcome variables are observed variables that are used to compute latent variables (i.e., the 'common fate variables'). See Figure 4. Mutual influence (dyadic feedback) model The mutual influence or dyadic feedback model is a method of considering reciprocal influence of partners' predictor(s) on one another's and partners' outcome on one another's. Compared to the APIM, this model assumes there are no partner effects and no other types of non-independence, as seen in the predictor-predictor and outcome-outcome paths. Additionally, it assumes equal effects of partner's influence on one another (i.e., 1 influences 2 equally as 2 influences 1). See Figure 5. Dyadic score model The dyadic score model uses two partners observed predictor and outcome variables to compute both dyadic 'level' and 'difference' latent variables. The level variables are similar to the common fate latent variables while the difference variables represent the within-dyad contrast. See Figure 6. ==== Actor-partner interdependence model (APIM) ==== The APIM is a method of accounting for dyadic interdependence via both actor and partner effects. Specifically, it considers the influence of one partner's predictor(s) on the other partner's predictor(s) and outcome. This is modeled using regression, MLM, or SEM procedures. See Figure 7. == See also ==
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