Summary

This document appears to be an assignment or practice questions in social psychology covering topics such as levels of analysis, prejudice, discrimination, stereotypes, and research methods. It includes details on bias, correlational studies, experimental studies and variables.

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Week 1: ​ Levels of analysis → individual/ internalized, interpersonal ​ Psychological approach → empirical, quantitative, cause/effect, mechanisms, social cognitive processes, assume univerals ​ Psychology Building Blocks: ABC ○​ Affect (feelings) → valence (positive/ negative)...

Week 1: ​ Levels of analysis → individual/ internalized, interpersonal ​ Psychological approach → empirical, quantitative, cause/effect, mechanisms, social cognitive processes, assume univerals ​ Psychology Building Blocks: ABC ○​ Affect (feelings) → valence (positive/ negative) ○​ Behavior → outwardly visible actions ○​ Cognition → conscious/ unconscious thoughts ​ Prejudice → negative attitudes/ feelings towards members of a social group ○​ Prejudgement, valence (negative) ○​ Stigma → culturally-shared negativity towards a group (vs personal beliefs) ​ Associated with ostracism/ avoidance ​ Visible, personal traits, group/ tribal ​ Discrimination → unfairly treating individuals because of their group membership ○​ Has legal definitions ​ Stereotyping → assumption that individual members of a group possess characteristics associated with that group ​ Bias: ○​ Targets → anyone who is part of a social group or has characteristics that evoke prejudgement ○​ Legal definition specify protected groups, understudied, literature from the US ​ Primary Categories: ○​ Race → system for classifying human beings grounded in the belief that people embody inherited and fixed biological characteristics that identify them ​ Social category, not biological ​ Long & Kittles (2009): analysis of human genetic similarities/differences does not map onto any conception of racial categories ​ Definition of race changes over time (racial segregation laws) ​ Trawalter & Richeson (2008): found race related discussions caused increased anxious behavior in interracial dyad pairings ○​ Gender: ​ Gender vs sex, ways of delineating gender vary, traits/behaviors/careers associate have changed over time ○​ Age → life stages across different cultures (adolescence/emerging adulthood) ○​ Other dimensions: Social class, occupation, disability (multiple combinations of identities) ○​ Social Categories Bias (Devine 1989: knowledge of stereotypes is unrelated to differences in prejudice) ​ Research Methods Review: ○​ Research → understand causes, persistence, reduction of prejudice and discrimination ​ Correlational Studies: Examine relationships between variables but don't infer causation. ​ Experimental Studies: Manipulate variables to determine causal relationships. ​ Longitudinal Studies: Track changes over time. ○​ Hypothesis formation → ideas form observations, interventions, theories about stereotypes, prejudice,a nd discrimination ○​ Variable → concept/ construct that varies in a study (2+ levels) ​ ○​ Operational Definition → how a concept is measured or manipulated as a variable in a study ○​ Correlational Design → study in which all variables of interest are measured and none are manipulated ​ Directionality problem, 3rd variable problem ○​ Experiment → study in which one variable is manipulated by the researchers to observe outcomes depending on the level (randomized controlled trial) ​ Manipulation of one or more independent variables. ​ Control of extraneous variables. ​ Use of random assignment to groups. ​ Establish causation by determining if changes in the IV directly affect the DV ○​ Random Assignment → using randomization procedure to assign participants to experimental conditions (levels of manipulated variables) or in the order in which conditions occur (for within-subjects designs). This results in groups that do not differ systematically from one another ​ By evenly distributing individual differences (ex: personality traits) across groups, random assignment ensures that differences in the dependent variable are due to the independent variable, not pre-existing biase ○​ Independent Variable → variable that is manipulated in an experiment hypothesized to be the cause ○​ Dependent variable → variable that is measured after the manipulation in an experiment hypothesized to be the effect ○​ Disparate Impacts → worse outcome for some group compared to others ○​ Correlation → statistic value that evaluates the association between 2 variables, varies from -1 to 1, higher indicates stronger relationship, sign indicates direction, does not imply causation ○​ P-value → statistic indicating the probability of attaining results if there were no true association between variables (smaller p-values = greater statistical significance) ○​ Self-report methods → participants provide information themselves through surveys, interviews, questionnaires ​ Easy to administer, captures subjective experiences and attitudes ​ Susceptible to social desirability bias (underreporting prejudice) ○​ Fryberg (2020): lower self esteem after native american adolescents viewed stereotypical images like Chief Wahoo ​ Manipulating Prejudice → manipulating target’s social identity ○​ Bertrand & Mullainathan (2003): white names received more resume callbacks than black names ○​ Morgenroth, Axt, Westgate (2024): manipulated imagined positive contact with trans woman at birthday party which lead to increased support of trans inclusive policies ○​ Attributional ambiguity → uncertainty about whether the outcomes are deserved or of social prejudices ​ Human culture → unique meaning and information system, shared by a group and transmitted across generations, that allows the group to meet basic needs of survival, pursue happiness and well-being, and derive meaning from life Week 2: ​ Social Categories → used to reason about other people ○​ Easily identified, simplify, fill in gaps, structure interactions ○​ Cloutier, Mason, Macrae (2005): quick identification of race and gender (170-200 ms) ○​ Ingroup vs Outgroup: ​ Minimal group paradigm → ingroups and outgroups can be created from minimal conditions, even without interaction ​ Ingroup bias → based on only knowledge of group membership, people decide their own group is better, make rewarding group decisions (ingroup love > outgroup hate) ​ Competition brings in dislike ​ Outgroup homogeneity effect → people see members of their group as very different and underestimate differences among members of other groups ​ Believe outgroup members have similar traits and occupy similar roles ​ Due to information search (aggregate category of outgroup), size (know more ingroup) ​ Judd and Park 1988: outgroup homogeneity does not depend on the number of group members you know and perceptions of outgroups don’t correspond to perceptions of outgroup members (not thinking of individuals) ​ Cross-Race bias → poorer ability at remembering/identifying faces of outgroup members compared to ingroup members ​ Chiroro & Valentine (1995): found cross-race bias does not occur from lower cross-race exposure ​ Bernstein, Young, Hughenberg (2007): cross-race effect can be elicited just by labeling a face as ingroup or outgroup ​ Johnson & Fredrickson (2005): cross-race effect is eliminated when experiencing positive emotion ​ Van Bavel & Cunningham (2012): motivation to individuate the person reduces cross-race effect, also when faces are presented upside down (disrupted holistic processing) ​ Categories and Stereotyping ○​ Include race, age, gender (evolutionary adaptation) ​ Kinzler: language and accent are a more innate indicator of category membership ○​ Stereotypes: ​ Different timescales of analysis (developmental, cultural, historical) ​ Roots: Observation of social roles, illusory correlation ​ Illusory correlation → perceiving a relationship between two things even though it might not exist (remember the bad) ​ Negativity bias →bad behavior is more remembered than good behavior ​ Availability heuristic →makes it seem joint occurrence is common because it is easily remembered ○​ Stereotype Content Model (Fiske, Cuddy, Xu 2002) ​ Identify common dimensions of stereotypes of different groups, explain their root, predict emotional reactions ​ Warmth (related to competition) → predicts active behavior (help vs harm) ​ Competitive groups are perceived as interfering, con-competitive are subordinate ​ Competence (related to high status) → predicts passive behavior (cooperation vs ignoring) ​ Correspondence bias/ Fundamental attribution error →tendency for individuals to overemphasize personality-based or dispositional explanations for other people's behavior while under-emphasizing situational explanations ​ Just world theory → if the world is fair they must deserve their status ​ Possible Combinations: ​ Low Competence, High Warmth: low status, low competitiveness ​ High Competence, Low Warmth: high status, high competitiveness ​ Caprariello, Cuddy, Fiske (2009): Ps read about fictional immigrant groups and found: ​ High Warmth, High Competence: Admiration (e.g., ingroups, allies). ​ Low Warmth, High Competence: Envy (e.g., rich or competitive groups). ​ Low Warmth, Low Competence: Contempt (e.g., stigmatized groups). ​ High Warmth, Low Competence: Pity (e.g., elderly, disabled). ○​ Axes of Subordination (Zou & Cheryan 2017) → SCM does not capture stereotypes of ethnic groups in the US ​ 2 dimensions where racial/ ethnic groups are perceived as subordinate → Inferiority & Foreignness ​ Distinct but modestly correlated, helps distinguish stereotypes of blacks and latinos (different foreignness) ​ Inferiority → low competence ​ Foreignness → perpetual foreigner syndrome (natives perceived as foreign) ​ Zou & Cheryan (2017): blacks experience inferiority, latinos both, asians experience foreign ​ Subgroups, Subtypes, Intersectionality: belonging to more than one category ○​ Subtyping → groups people on whether they match or mismatch with the stereotype (allows for stereotypes to be maintained) ○​ Subgrouping → perceiving different clusters and categorizing besides stereotypicality (acknowledges diversity) ○​ Maurer, Park, Rothbart (1995): by having Ps read volunteer bios, found subtyping to reinforce stereotypes and outgroup homogeneity, while subgrouping to weaken stereotypes by highlighting within group diversity ○​ Intersectionality (Kimberlee Crenshaw) → people are members of multiple social categories that overlap/intersect ​ Double Jeopardy → multiple subordinate identities lead to compounded disadvantages (Black women in leadership). ​ Rosette & Livingston (2012) ​ Intersectional Invisibility → Individuals with multiple subordinate identities may be overlooked or ignored ​ Causes: ​ Imagined defaults: ○​ Androcentrism– imagining the generic person as male ○​ Ethnocentrism– imagining the generic person as White ○​ Heterocentrism– imagining the generic person as heterosexual ○​ People with 2+ subordinate identities are less salient category members ​ Stereotype congruence: ○​ Intersectionality Prototypicality Model (Wong & McCullough 2021): ○​ Galinsky, Hall, Cuddy (2013): congruence between gender stereotypes and racial stereotypes ○​ Intersectional Invisibility → intersectional identities can make people hyper prototypical or hypo prototypical ​ Purdie-Vaughns & Eibach (2008): people with multiple subordinate identities will be ignored ​ Galinsky, Hall, Cuddy (2013): hyper vs hypo-prototypicality in dating Walzer & Czopp 2011: Able But Unintelligent: Including Positively Stereotyped Black Subgroups in the Stereotype Content Model (SCM) ​ IV: Black subgroup type (athletes vs. musicians). ​ DV: Warmth, competence-talent, competence-intelligence ratings. ​ Hypothesis: Black subgroups are seen as talented but not intelligent or warm. ​ Methods: 110 participants rated traits, competition, and status on 5-point scales. ​ Results: High competence-talent, low warmth and competence-intelligence; status predicted talent, not intelligence. ​ Discussion: Positive stereotypes limit broader power and obscure prejudice. Book Notes: Chapter 1: Introducing the Concepts of Stereotyping, Prejudice, and Discrimination ​ Race as a Social Construct: Race is not biological but socially defined, influencing power structures and stereotypes. ​ Cultural Influences on Prejudice: Culture subtly shapes biases, attitudes, and perceptions, often without conscious awareness. ​ Group Privilege: Unearned advantages conferred by belonging to dominant groups (e.g., race, gender, class). ​ Intersectionality: How overlapping identities (e.g., race, gender) create unique experiences of discrimination. ​ Historical Views of Ethnic Groups: Shifting societal perceptions of immigrants and minorities over time. ​ Stereotype Evolution: How historical events (e.g., 9/11) reshape group stereotypes and prejudices. Chapter 2: How Psychologists Study Prejudice and Discrimination ​ Research on Implicit Bias: Techniques like the Implicit Association Test measure unconscious prejudice. ​ Formulating Hypotheses: Research begins with everyday observations or theoretical questions about biases. ​ Measuring Prejudice: Tools and methods (e.g., surveys, experiments) for assessing stereotypes and discrimination. ​ Research Strategies: Comparative advantages of experimental, correlational, and longitudinal studies. ​ Drawing Conclusions: The importance of interpreting research data in context to avoid biased conclusions. ​ Theory and Practice: Using theoretical models to design interventions for reducing prejudice. Chapter 3: Social Categorization and Stereotypes ​ Social Categorization: The cognitive process of grouping people based on observable traits like race or gender. ​ Basic Social Categories: Fundamental groups like race, gender, and age that influence snap judgments. ​ Subtypes in Stereotyping: Nuanced categories within broader groups (e.g., “career woman,” “macho man”). ​ Transmission of Stereotypes: How societal norms and media perpetuate stereotypic beliefs. ​ Stereotype Accuracy Debate: Whether stereotypes reflect group traits or are primarily biased. ​ Prototypicality: How closely someone’s features match the "typical" traits of a group affects their categorization. ​ Categorization Ambiguity: Challenges in classifying individuals with mixed or unclear group memberships. ​ Top-Down vs. Bottom-Up Processing: Categorization based on prior knowledge (top-down) versus immediate traits (bottom-up).

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