Attraction Evolution Slides Psychology Seminar Series
Evolutionary Perspectives
Parental Investment, Sexual Selection, and the Critique of Biological Determinism
Essential Questions
"To what extent do evolutionary mandates versus social constructs dictate the mechanisms of modern human mate selection?"
How does Trivers' Parental Investment Theory explain sexually dimorphic mating strategies?
Are universal preferences (Buss, 1989) biological imperatives or artifacts of cross-cultural patriarchal structures?
How do these models fail to account for non-heteronormative and digital mating contexts?
Parental Investment Theory
Trivers (1972)
The Fundamental Asymmetry
The sex that invests more in offspring (typically females) will be more selective; the sex that invests less will be more competitive.
Predicted Strategies
High Investment
Focus on resource acquisition, stability, and long-term commitment.
Low Investment
Focus on genetic quality (fitness cues) and quantity of opportunities.
Discussion Point
Does "investment" solely refer to biological gestation/lactation, or does it include modern socio-economic investment?
How does the advent of reliable contraception decouple Trivers' theory from modern behavior?
Buss (1989): 37 Cultures Study
Finding A
Females consistently valued "good financial prospect" higher than males.
Finding B
Males consistently valued "physical attractiveness" higher than females.
Finding C
Males preferred younger mates; females preferred older mates.
Critical Critique
Social Structural Hypothesis (Eagly & Wood, 1999): These preferences are not biological. They arise from social roles and the gender-based division of labor. In cultures with higher gender equality, these "universal" differences diminish.
Seminar Deep Dive
The "Adaptationist" vs. "Culturalist" Debate
Task
Review the provided primary literature excerpts. In your cohorts, construct a counter-argument to the biological determinism of mate selection cues using data from non-heteronormative dating patterns.
Key Terms to Use
Sexual Selection Inclusive Fitness Social Roles Ecological Validity Mate Choice Copying
Next: Analyzing Primary Literature Critique Guide
Research Critique Guide Primary Literature Critique
Evolutionary and Social Psychological Foundations
Name:
Date:
Assigned Citation
Buss, D. M. (1989). Sex differences in human mate preferences: Evolutionary hypotheses tested in 37 cultures. Behavioral and Brain Sciences, 12(1), 1-14.
1. Theoretical Framework
Identify the specific evolutionary hypothesis being tested. How does it derive from Trivers (1972)?
2. Methodological Rigor
Analyze the sampling strategy across the 37 cultures. What populations were over-represented or excluded?
3. The "Biological Determinism" Critique
Eagly and Wood (1999) argue that the findings in the 37 cultures study are better explained by social structural factors. Use the space below to synthesize a critique of the causal mechanisms proposed by Buss. Does the data necessitate a biological explanation, or is it a correlation with global social structures?
4. Contemporary Relevance & Boundary Conditions
Digital Contexts
How do dating algorithms change "cost"?
Non-Binary Identity
Where does PIT fail to predict choice?
Wealth/Class Stability
Does socio-economics override biology?
Seminar participants should be prepared to present their synthesis during the 15-minute debate session.
Seminar Facilitation Guide Instructor Facilitation Guide
Lesson 1: Evolutionary Perspectives
Seminar Duration
120 MIN
Instructional Objective
By the end of this session, graduate students will be able to critically evaluate the causal claims of Parental Investment Theory (Trivers, 1972) against the Social Structural Hypothesis (Eagly & Wood, 1999) using cross-cultural data.
Seminar Timeline
00-20m
The "Hook" Debate
Present the "Short-term vs. Long-term goals" prompt. Facilitate a rapid-fire discussion on whether students believe their own dating strategies are "conscious choices" or "biological scripts."
20-50m
Theoretical Foundations (Slides 2-4)
Lecture-seminar hybrid. Focus heavily on the asymmetry of parental investment. Ask: "If technology (IVF, ectogenesis) removes the biological asymmetry, does the psychology remain?"
50-90m
Workshop: Primary Literature Critique
Students work in cohorts of 3. Distribute the Primary Literature Critique Guide . Monitor groups for "theoretical drift"—ensure they are citing specific evidence from Buss or Eagly & Wood.
90-120m
The Socratic Synthesis
Reconvene for a structured debate. Challenge students to apply PIT to non-heteronormative dating patterns. If PIT is universal, why does it struggle to explain mate choice in same-sex dyads?
Facilitator Discussion Prompts
"Is the 'Physical Attractiveness' preference in males truly about fertility, or is it a socialized cue for status?"
"If we find a culture where women have total economic control, do their mate preferences shift to match traditional 'male' patterns?" (Refer to Centner et al., 2017)
"How does the concept of 'Inclusive Fitness' complicate the simple Parental Investment model?"
Differentiation & Extension
For struggling students: Provide a "Cheat Sheet" of key terms (Sexual Selection, Intrasexual Competition, etc.) and focus on the basic PIT model before moving to critiques.
For advanced students: Assign the additional reading on Life History Theory (LHT) and ask them to explain how ecological stressors (e.g., resource scarcity) shift individuals between 'fast' and 'slow' mating strategies.
Social Exchange Slides Lesson 2
Social Exchange & Interdependence
The Economic Logic of Human Connection
The Relationship Economy
Social Exchange Theory (SET) posits that all human relationships are formed by the use of a subjective cost-benefit analysis .
Outcome = Rewards - Costs
Key Theoretical Pillar
"People strive to maximize their rewards and minimize their costs in relationships."
Rewards: Emotional support, status, sex, security.
Costs: Time, conflict, compromise, lost opportunities.
Thibaut & Kelley (1959)
Interdependence Theory
Comparison Level (CL)
What we think we deserve . Based on past experiences and social norms.
Determines: Satisfaction
CL for Alternatives (CLalt)
What we could get somewhere else . The "best possible outcome" outside current dyad.
Determines: Dependency/Stability
"Why do people stay in unhappy relationships? Because Outcome > CLalt."
Beyond Maximization: Equity
Walster et al. (1978) argue that people are happiest when the ratio of inputs to outcomes is equivalent for both partners.
Under-benefited: Resentment, anger.Over-benefited: Guilt, discomfort.
Workshop Prompt
"How do we quantify altruism? Is a truly altruistic act just a cost-benefit calculation where the 'reward' is a positive self-concept or dopamine release?"
Modeling the Market
The Prisoner's Dilemma of Dating
If both cooperate (vulnerability), the reward is high. If one defects (ghosting/avoidance), the defector minimizes cost but the cooperator suffers high loss.
How does "Digital Proximity" lower the search cost and thus increase the CLalt for the average user?
Instructions for Workshop
Access the "Relationship Market Modeling" worksheet.
Assign 'point values' to standard romantic assets.
Simulate a 'Relationship Market' crash: What happens when CLalt spikes?
Present your equilibrium model.
Relationship Market Modeling Market Modeling Workshop
Quantitative Approaches to Social Exchange & Equity
Researcher Name:
Simulation ID:
Objective
Construct a mathematical model of relationship stability based on Thibaut & Kelley's Interdependence Theory. Students will define variables, calculate outcomes, and predict dyadic dissolution.
Phase 1: Variable Definition
In a modern dating context (e.g., dating apps), define 4 key Rewards and 4 key Costs . Assign a relative weight (1-10) to each based on your cohort's consensus.
Phase 2: The Outcome Equation
Using your weighted variables, calculate the Outcome for a hypothetical 6-month relationship. Then, establish a Comparison Level (CL) and a CL for Alternatives (CLalt) for this individual.
1. Calculate Outcome:
Comparison Level (CL)
Describe the psychological baseline...
CL for Alternatives (CLalt)
Describe the current market options...
Phase 3: Stress Testing Stability
Simulate a "Market Shift." Suppose a new high-engagement dating app is released, effectively doubling the CLalt. Does the relationship survive? Why or why not?
Present your analysis of the relationship's probability of persistence (P-Persistence) using the formula: P = Outcome - CLalt.
Critical Reflection: Can Interdependence Theory explain "irrational" commitment, such as staying with a partner who provides low rewards and high costs simply because the individual feels they "deserve" those costs? Discuss in your final presentation.
Social Exchange Teacher Brief Instructor Seminar Notes
Lesson 2
Central Paradox
"If humans are rational maximizers, why does the data show that we often remain in sub-optimal dyads, and how do we distinguish between 'calculated investment' and 'genuine altruism'?"
The CLalt Dilemma
Students often struggle with the distinction between Satisfaction and Stability. Use the 2x2 Matrix:
1. Satisfied/Stable: Outcome > CL and Outcome > CLalt.Dissatisfied/Stable: CL > Outcome > CLalt (Trapped).Satisfied/Unstable: CLalt > Outcome > CL (The "Grass is Greener").Dissatisfied/Unstable: Both CL and CLalt > Outcome.
Equity vs. Equality
Ensure students don't confuse Equity with Equality.
Equality: Both partners get 50/50.Equity: Partner A gives 10 and gets 10; Partner B gives 50 and gets 50.
Equity is about the proportionality of the exchange, not the absolute values.
Workshop Facilitation: Market Modeling
1
The Assignment of Weights: Push students to justify why they weighted "Emotional Support" as an 8 while "Financial Security" is a 4. Is this based on their own demographic? Challenge their "WEIRD" (Western, Educated, Industrialized, Rich, Democratic) bias.
2
The Digital Factor: How does infinite scrolling on dating apps artificially inflate CLalt? Discuss "The Paradox of Choice" (Schwartz, 2004) and its impact on modern relationship commitment levels.
Core References for Discussion
Thibaut, J. W., & Kelley, H. H. (1959). The social psychology of groups. Wiley.
Walster, E., Walster, G. W., & Berscheid, E. (1978). Equity: Theory and research. Allyn & Bacon.
Rusbult, C. E. (1983). A longitudinal test of the investment model. Journal of Personality and Social Psychology.
Proximity Digital Slides Lesson 3
Proximity & Familiarity
From Physical Propinquity to Digital Saturation
Propinquity: Festinger et al. (1950)
The Westgate Housing Study found that proximity was the single best predictor of friendship formation.
• 41% of next-door neighbors were friends.
• Only 10% of those living at opposite ends of the hallway were friends.
Functional Distance
"It's not just physical feet, but the design of the environment that creates encounters."
People living near staircases or mailboxes had more 'accidental' exposure, leading to higher rates of attraction.
Mere Exposure: Zajonc (1968)
The Familiarity Heuristic
"Repeated exposure to a stimulus leads to an increased liking of that stimulus."
The Mechanism
Familiarity signals safety . From an evolutionary standpoint, a novel stimulus is a potential threat; a familiar one is a known quantity.
Mita et al. (1977)
Why do we prefer our reflection while friends prefer our actual photos? We are more 'exposed' to our mirror image than our true likeness.
Modern Context: Digital Proximity
The Algorithm
Does digital exposure (Instagram stories, Facebook 'recollections') function as functional distance? Does an algorithm create 'accidental' encounters?
Swipe Fatigue
At what point does exposure become over-exposure ? Can the Mere Exposure Effect backfire in an era of infinite saturation?
Seminar Task
Using the provided Research Proposal Template, design a study to test if 'Digital Proximity' (engagement with a person's social media content) predicts attraction more accurately than 'Physical Proximity'.
Inquiry-Based Project-Based
Digital Proximity Proposal Research Design Proposal
Modernizing Classical Theories of Proximity
Lead Researcher:
Theory Focus:
The Inquiry
"Does the 'Mere Exposure Effect' hold true in an era of digital saturation, or does it lead to 'swipe fatigue'? Design a 2x2 factorial study to investigate."
1. Conceptual Framework & Hypotheses
Define your Independent Variables (IVs) and Dependent Variable (DV). How are you operationalizing 'Digital Proximity'?
Hypothesis 1 (Direct Effect)
Hypothesis 2 (Interaction Effect)
2. Methodology: Ecological Validity
Describe the experimental setting. Will this be a naturalistic observation of social media logs, or a controlled exposure study? Justify your choice regarding ecological validity.
3. Addressing 'Swipe Fatigue' (The Satiation Point)
Classical theory suggests exposure increases liking. However, Boredom/Satiation Theory suggests an inverted-U relationship. How will your design identify the inflection point where familiarity breeds contempt?
4. Ethical Considerations
What are the privacy implications of studying digital proximity? How will you handle informed consent in a 'stalking' simulated environment?
Peer Review Notes: Proximity Facilitator Guide Seminar Facilitator Notes
Lesson 3
Theoretical Pivot
This lesson moves students from internal biological/psychological drivers to environmental determinants . The goal is to prove that "who we love" is often a function of "who is available."
Socratic Discussion Prompts
The "Westgate" Modernization
"If Festinger conducted the Westgate study today, would he find that the most influential factor is the building's layout, or the building's WhatsApp group chat?"
Goal: Force students to define "Functional Distance" in a hybrid physical-digital world.
The Danger of Over-Exposure
"Zajonc (1968) worked with nonsense syllables and photographs. Is a human person a stimulus that can be over-exposed? At what point does familiarity become 'cringe'?"
Goal: Introduce the concept of the inverted-U relationship between exposure and liking.
Workshop Guide: Digital Proximity Proposal
Operationalizing Digital Proximity:
Algorithm frequency (feed rank)
Interaction depth (likes, comments, DMs)
Passive vs. Active exposure
Story-viewing persistence
Common Student Pitfalls:
Failing to define a control group.
Ignoring "Directionality" (Does liking cause proximity, or proximity cause liking?)
Underestimating the "Algorithm Bubble" effect.
Required Reading for this Lesson:
• Festinger, L., Schachter, S., & Back, K. (1950). Social pressures in informal groups.
• Zajonc, R. B. (1968). Attitudinal effects of mere exposure. Journal of Personality and Social Psychology.
• Moreland, R. L., & Beach, S. R. (1992). Exposure effects in the classroom.
Neurochemistry Attraction Slides Lesson 4
Neurochemistry of Love
From Neural Pathways to Subjective Experience
Fisher's Tripartite Model
1. Lust
Driven by Testosterone & Estrogen . Evolutionary goal: Sexual mating.
2. Attraction
Driven by Dopamine & Norepinephrine . The "Romantic Love" phase. Focus of attention.
3. Attachment
Driven by Oxytocin & Vasopressin . Goal: Long-term pair bonding for offspring rearing.
"Is romantic love a 'feeling' or a 'drive' akin to hunger or thirst?"
The Brain in Love
fMRI Insights
Aron et al. (2005) used fMRI to image the brains of people in the intense early stages of romantic love.
Key Finding: Ventral Tegmental Area (VTA)
Intense activation in the VTA, a primary part of the brain's reward and motivation system .
Neural Signatures
Increased Dopamine (Focus/Reward)
Decreased Serotonin (Obsessive Thinking)
Prefrontal Cortex Deactivation (Suspended Judgment)
The Reductionist Trap
Seminar Challenge
"If we can map 'love' to a specific neural circuit, does that negate the sociological and evolutionary models we've studied? Or is neurochemistry merely the mechanism by which those higher-order models operate?"
Task
Review the Aron et al. (2005) study critique sheet.
Identify three methodological limitations of fMRI in attraction research.
Debate: Is 'The Spark' just a dopamine surge?
fMRI Study Analysis fMRI Study Critique
Critical Analysis of Neuro-imaging in Attraction Research
Reviewer:
Date:
Primary Source
Aron, A., Fisher, H., Mashek, D. J., Strong, G., Li, H., & Brown, L. L. (2005). Reward, motivation, and emotion systems associated with early-stage, intense romantic love. Journal of Neurophysiology.
1. Operationalizing "Intense Romantic Love"
Aron et al. used the Passionate Love Scale (PLS) to screen participants. Critique this choice: Can a self-report survey accurately filter for a purely biological state? What are the risks of Social Desirability Bias in this context?
2. Methodological Nuance: The Control Stimulus
Participants viewed a photo of their beloved versus a photo of a "neutral" acquaintance. Analyze the potential for confounding variables . Is the brain responding to "love," or simply to "high familiarity" or "arousal"?
3. Functional Connectivity & Localization
The study emphasizes the Ventral Tegmental Area (VTA) and Caudate Nucleus. Discuss the limitations of Reverse Inference : Just because the VTA is active, does that mean the participant is experiencing "love," or could they be experiencing "expectation of food," "cocaine craving," or "general excitement"?
4. Synthesis: The Biological vs. Subjective
If neurochemistry can perfectly predict "love," what happens to the concept of Free Will in mate selection? Construct a brief argument below.
Neurochemistry Backgrounder Neuro-Psych Seminar Backgrounder
The "Spark" (Dopamine)
The early stages of attraction are characterized by high levels of Dopamine and Norepinephrine . This creates a state of "focused attention," euphoria, and increased energy. Interestingly, the brain's reward center (VTA) activates in a pattern nearly identical to those experiencing drug-induced highs.
The "Bond" (Oxytocin)
As a relationship matures, Oxytocin and Vasopressin become dominant. Often called the "cuddle hormones," they facilitate long-term attachment and territoriality. High oxytocin levels are correlated with higher relationship satisfaction and trust, serving as the "biological glue" for the dyad.
Teacher Facilitation: The Reductionism Debate
When facilitating the seminar, focus on the Hard Problem of Consciousness . Use these prompts:
"If we administer a dopamine antagonist to someone in love, do they stop being 'in love,' or do they just stop feeling the 'euphoria'?"
"How do fMRI studies ignore the cultural context of love? Does a brain in love in a collectivist culture look the same as one in an individualist culture?"
Core Concepts Checklist
• Ventral Tegmental Area (VTA)
• Caudate Nucleus
• Serotonin Depletion
• Prefrontal Deactivation
• Pair-Bonding (Vasopressin)
• Reward Motivation System
"Biological reductionism is a tool, not a conclusion. Use it to explain the 'how,' not necessarily the 'why'."
Assortative Mating Slides Lesson 5: Capstone
Assortative Mating
The Sociological Reality of the "Matching Hypothesis"
The Myth of Complementarity
"Despite cultural narratives of 'opposites attracting,' data consistently shows we gravitate toward those like ourselves."
Homogamy
The tendency to choose a partner who is similar in age, education, religious background, and socioeconomic status.
The Matching Hypothesis
Walster et al. (1966) found that while people prefer the most attractive partners, they actually choose partners who match their own level of physical attractiveness.
Why? Risk of rejection vs. Reward of acceptance.
Why Similarity?
Assortative Mating Drivers
Validated Worldview
Similarity in attitudes and values validates our own self-concept (Byrne, 1971).
Social Approval
Peer groups and families provide more positive reinforcement for homogamous pairings.
Communication Ease
Shared cultural scripts and vocabulary reduce the 'cost' of negotiation in the early dyad.
Final Synthesis Project
The Essential Challenge
"Argue whether 'opposites attract' is a statistical impossibility or a psychological nuance. Synthesize evolutionary mandates, social exchange models, and the neurochemistry of reward."
Required Integration
• Parental Investment Theory (Lesson 1)
• Interdependence Theory (Lesson 2)
• Digital Proximity (Lesson 3)
• Neuro-imaging Critique (Lesson 4)
Next: Paper Outline & Rubric Workshop
Synthesis Paper Outline Capstone Synthesis Outline
Foundations of Attraction Seminar Series
Student:
Advisor:
Final Synthesis Prompt
"Construct a multi-factor model explaining mate selection variability across cultural and ecological contexts. To what extent do evolutionary mandates versus social constructs dictate modern human mate selection?"
1. Theoretical Thesis Statement
Your thesis must integrate at least two conflicting models (e.g., PIT vs. Social Structural Hypothesis) and propose a synthesized middle ground.
2. Synthesis Matrix
Biological Evidence
Cite PIT, fMRI data, or Buss (1989)...
Sociological Evidence
Cite SET, Homogamy, or Proximity...
The Integration Point
How do these models interact?
3. Ecological Validity Check
Apply your model to a modern phenomenon (e.g., 'hookup culture', dating algorithms, or globalized mate markets). Does your model hold, or does the modern context break it?
Academic Rubric High-Lights
Theoretical Depth (40%)
Accurate application of PIT, Interdependence, and Mere Exposure theories.
Critical Synthesis (40%)
Critique of reductionism and successful integration of biological/social models.
Seminar Capstone Guide Seminar Capstone Guide
Facilitating the Final Synthesis Presentation
The Synthesis Challenge
"This final session is designed to move students from 'consumers of theory' to 'constructors of models.' Your goal is to moderate a discussion where students reconcile the biological mandates of PIT with the sociological realities of Homogamy."
Seminar Moderator Prompts
1
The Genetic vs. Social Paradox:
"If we seek 'genetically superior' mates (PIT), why do we consistently choose people with the same level of education and income (Homogamy) regardless of their physical fitness cues?"
2
The Algorithm as an Assortative Tool:
"Do modern dating apps encourage assortative mating by allowing users to filter for religion and education, or do they disrupt it by increasing the CLalt for the entire market?"
Teacher Reference: The Integration Model
Primary Drivers (Biological)
Hormonal surges, physical symmetry detection, parental investment cues. These serve as the initial filter .
Secondary Filters (Social)
Cost-benefit stability, shared cultural script, proximity. These serve as the persistence factor .
Grading the Synthesis
The "Excellent" Synthesis: Student acknowledges the reductionist trap (Lesson 4) while successfully using neuro-imaging data to explain why social proximity (Lesson 3) works so effectively on a biological level.
The "Developing" Synthesis: Student treats each lesson as a separate silo, failing to explain how Parental Investment (Lesson 1) impacts the weighted variables in Social Exchange (Lesson 2).
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