Chapter 1: Basic Facts & Key Concepts Flashcards
Relationship
Refers to a state of independence that arises from ongoing interactions, an two people are “in a relation” or “have a relationship” to the extent that they interact and mutually influence each other - how one partner behaves (i.e., acts, thinks, or feels) influences how the other partner behaves (i.e., acts, thinks, or feels), and vice versa.
- A relationship “lives” in the interaction between two people, not within a single individual.
Interdependence
Mutual influence; the behaviours of one partner influence the behaviours of the other. A pattern of mutual influence can constitute evidence of a relationship.
Interaction Episode compared to a Relationship
An Interaction Episode involves an isolated exchange (or set of exchanges) that occurs within a limited span of time, whereas a Relationship involves repeated interactions over a longer duration of time.
In order for people to be in a relationship, three conditions must be met:
- The two people must interact and influence each other’s behaviours - that is, they must be interdependent.
- Their interaction must be unique and not based on the enactment of social roles - i.e., how the two interact with each other must be different from how other people interact.
- Their interaction history must be represented cognitively and held in memory - this is, as a result of their interaction(s), the partners must have formed a mental representation of their relationship, which influences their future interactions.
Role-based Interactions
Each person’s behaviour is influenced not by the partner’s behaviour but by social normas and prescriptions that govern the behaviours of all people who assume that particular role.
- Behaviour tends to be the same regardless of who the two individuals are, when and where the interaction occurs, or what their transaction involves.
- The interaction follows much the same course because the behaviour of both individuals is primarily determined by their group membership and occupancy of particular social positions.
Formal / Role-based Relationships
Role-based Interactions that continue to be ongoing associations over multiple occasions. Some do not consider this a relationship.
Mental Representation
Often called a relationship schema, they must have cognitively represented and organized their previous interactions and hold them in memory.
- This allows partners to respond to each other in their own unique, non-role-based way.
Methods for Establishing Interdependence
- Actor-Partner Interdependence Model (APIM)
- Time-Series Analyses
Actor-Partner Interdependence Model (APIM)
APIM recognizes that a person’s experiences in a relationship are a function of both of their own characteristics or properties (called the actor effect) and the partner’s characteristics or properties (called the partner effect - this is a measure of influence).
The Actor-Partner Interdependence Model (APIM) is a statistical model that is used to analyze dyadic data, or data that involves two people who are in a relationship or interact with each other. The APIM allows researchers to examine how the behavior and characteristics of one person (the actor) are related to the behavior and characteristics of the other person (the partner), and how these relationships vary over time.
Dyad
A dyad is a group of two people who are in a relationship or interact with each other.
Actor Effect
The actor effect in the actor-Partner Interdependence Model (APIM) refers to the influence that an individual’s behavior and characteristics have on their own outcomes or experiences. In the context of a dyadic relationship, the actor effect refers to the ways in which an individual’s behavior and characteristics affect their own satisfaction with the relationship, their communication patterns, and their overall relationship functioning.
For example, if one partner in a dyad is more controlling or demanding, this may have an impact on their own satisfaction with the relationship, as well as the satisfaction of the other partner. Similarly, if one partner is more supportive and communicative, this may have positive effects on their own relationship satisfaction and the satisfaction of the other partner.
Partner Effect
that the behavior and characteristics of one person in a dyadic relationship have on the outcomes or experiences of the other person. In the context of the APIM, the partner effect refers to the ways in which the behavior and characteristics of one person in a relationship affect the satisfaction, communication patterns, and overall relationship functioning of the other person.
For example, if one partner in a dyad is more supportive and communicative, this may have a positive effect on the satisfaction and overall functioning of the other partner. On the other hand, if one partner is more controlling or demanding, this may have a negative effect on the satisfaction and functioning of the other partner.
What is the difference between the actor effect and the partner effect?
The actor effect focuses on the influence that an individual’s behaviour and characteristics have on their own outcomes and experiences within a relationship, while the partner effect focuses on the influence that one person’s behavior and characteristics have on the outcomes and experiences of the other person.
The actor effect refers to the influence that an individual’s behaviour and characteristics have on their own outcomes or experiences within a dyadic relationship. In other words, it refers to the ways in which an individual’s behaviour and characteristics affect their own satisfaction with the relationship, their communication patterns, and their overall relationship functioning.
The partner effect, on the other hand, refers to the influence that the behaviour and characteristics of one person in a dyadic relationship have on the outcomes or experiences of the other person. This includes the ways in which the behavior and characteristics of one partner can affect the satisfaction, communication patterns, and overall relationship functioning of the other partner.
Time-series Analyses
In a time-series analysis, interdependence or mutual influence can be established by examining the degree to which the behavior of one partner can be predicted by the behavior of the other partner. This can be done by comparing the ability of each partner’s previous behavior to predict their current behavior with the ability of the other partner’s previous behavior to predict their current behavior.
In a time-series analysis, interdependence or mutual influence is established by determining that the behaviour of each partner can be better predicted by the other partner’s previous behaviour than by his or her own previous behaviour.
Like the APIM, time-series analyses recognize that a person’s behaviour is often influenced by their own previous behaviour (actor effect) and their partner’s previous behaviour (partner effect).
Low Interdependence in a Time-series Analyses
On the other hand, if the behaviour of one partner is better predicted by their own previous behaviour than by the previous behaviour of the other partner, this suggests that there is a lower level of interdependence or mutual influence in the relationship. This means that the behaviour of one partner is less influenced by the behaviour of the other partner and that the two partners are less reliant on each other in achieving shared goals or objectives.