GENDER DIFFERENCES IN NETWORK PREFERENCES MONICA M. STALLINGS The Wharton School University of Pennsylvania.

Slides:



Advertisements
Similar presentations
GENDER DIFFERENCES IN INFORMAL NETWORKS MONICA M. STALLINGS The Wharton School University of Pennsylvania.
Advertisements

Division of Domestic Labour and Women s Human Capital ESRC Gender Equality Network Project 4: Gender, Time Allocation and the Wage Gap Jonathan Gershuny.
The parenthood effect: what explains the increase in gender inequality when British couples become parents? Pia Schober London School of Economics.
© Dr David Biggs GIVE THAT TO THE TEMP DIFFERENCES BETWEEN PERMANENT AND TEMPORARY WORKERS AS DETERMINED BY THE LABOUR FORCE SURVEY David Biggs.
Clicker Quiz.
Schulte-Hostedde, A.I., Eys, M.A., & Johnson,K. (2008). Femalemate choice is influenced by male sport participation. Evolutionary Psychology, 6,
Conference From GDP to Well-Being, Ancona, 3-5 December 2009 Integration in Social Networks as a form of Social Capital: Evidence from a Belgian survey.
Chapter 15 ANOVA.
1 Where the Boys Aren’t: Recent Trends in U.S. College Enrollment Patterns Patricia M. Anderson Department of Economics Dartmouth College And NBER.
Disproportionality of African Americans in Special Education The Influence of Aversive Racism on Referrals.
Other tests.  More than one dependent variable/ outcome ◦ Often variables are related ◦ Need a procedure to estimate simultaneously.
 Chapter 5 Challenges and Benefits. Challenges include  Gender  Age  Ideology  Nationality  Sexual orientation.
Stereotypes, Prejudice and Group Conflicts. Stereotypes and system justification Stereotypes emerge and are used to explain some existing state of affairs,
FATE Program - Female Aspiring Talent in Europe An Engaging and Empowering Development Program for Women What & Why? Program to develop participant by.
Role of Mentoring in Development of Leaders: Is There a Difference Between Latina and Latino in Mentor Selection Criteria? Rita Patel Thakur, Ed.D. Associate.
The Effect that Binge Drinking has on Social Support in College Students Thea Vance Hanover College.
The Ann Richards Invitational Roundtable on Gender and the Media Older Workers: Benefits and Obstacles for Women's and Men's Continued Employment October.
Incomplete Block Designs
Cluster Analysis on Perceived Effects of Scholarships on STEM Majors’ Commitment to Becoming Teachers versus Teaching in High Needs Schools Pey-Yan Liou.
Lecture 13: Factorial ANOVA 1 Laura McAvinue School of Psychology Trinity College Dublin.
Method Introduction Results Discussion The Effect of Self-Esteem, Marital Status, and Gender on Trait Anxiety and Stress Emily B Gale University of Nebraska-Lincoln.
Discrimination in the Labour Market. Aims and Objectives Aim: Understand discrimination in the labour market Objectives: Define labour market discrimination.
MANAGING EMPLOYEE DIVERSITY TOPICS 1. Defining diversity and diversity management. 2. Reasons for diversity management. 3. Challenges to diversity management.
GL Assessment is part of the GL Education Group. In case of enquiries please contact GL Assessment by ing Summary presentation.
1 Gender Diversity. 2 Difference In Management Skills Between Men & Women SkillGender Ranked Highest 1.Problem AnalysisMen 2.Conflict ManagementNo Difference.
MENTORSHIP IN RESEARCH BY GEOFFREY LAMTOO GULU UNIVERSITY.
STEREOTYPE BIAS Office of Diversity Workshop Module #2.
THEORETICAL PERSPECTIVES Unit 1 – Chapter 2 (Continued)
Out of Office: A Toolkit for an Agile Future. The Research Survey 13 organisations in public and private sectors 1219 team members: 55% female and 45%
Celeste M. Schwartz, Ph.D. Montgomery County Community College Blue Bell, Pennsylvania
Отчет о выступлении на конференции “2nd International Conference on Innovation and Entrepreneurship ICIE- 2014” (Bangkok, Thailand) Таяуова Г.Ж., PhD,
An independent licensee of the Blue Cross and Blue Shield Association Mentoring Program February 12, 2009.
Managing Your Social Capital Priscilla Arling University of Minnesota, Carlson School of Management – AWCTC March 2005.
Who Cares About Dads In Ads And Why? Gender Similarities And Differences In Effectiveness and Elaboration Of Advertisements Which Use (non)traditional.
202: The Casey Life Skills Assessment. The Pennsylvania Child Welfare Resource Center Learning Objectives Operate the Casey Life Skills Tools and web.
GENDER. Cambridge Dictionary the physical and/or social condition of being male or female Does this test show the gender of the baby? Discrimination on.
Prejudice. Basics What is prejudice? Prej vs. stereotypes vs. discrimination Does it have to be negative? Does it have to be held by high status group?
Results show that participants favored females in fields of surgeons and corporate setting jobs than males. They also showed preference for males in the.
Entrepreneurial Networks and Social Capital of Academic Scientists Ms. Agrita Kiopa, Doctoral Student Dr. Julia Melkers, Associate Professor School of.
Factorial ANOVAs.  Factorial Analysis of Variance (ANOVA)  Allows you to enter multiple predictors and parcel out the variance in the outcome due to.
By: Deanna Duermit, Mikayla Mowzoon, Jenna Tioseco
Attractive Equals Smart? Perceived Intelligence as a Function of Attractiveness and Gender Abstract Method Procedure Discussion Participants were 38 men.
Gender and IT Education Conference, Indiana University, 2007 Gender & IT Education Being The Same Isn’t Enough Impact of Male and Female Mentors on Computer.
Chapters 8, 9, & 10 Stratification. Social Inequality Members of a society have different amounts of wealth, power, and prestige. –Some degree of inequality.
Soft Skills development. Special approach in young job seekers’ training. (Grundtvig 2) Soest, 15 January 2004.
Intimacy Among Friends and changing Concepts of Love and Companionship Gerontology 410 Feb 2008.
Women are greatly outnumbered by men in Pakistani media industry.
Leadership Behaviors, Attitudes, and Styles
The principles of equal treatment in Estonia. The Constitution of the Republic of Estonia: Everyone is equal before the law. No one shall be discriminated.
Pretest/Posttest/Group ANCOV The Univariate Approach.
1 Kuo-hsien Su, National Taiwan University Nan Lin, Academia Sinica and Duke University Measurement of Social Capital: Recall Errors and Bias Estimations.
Which is the highest degree that you hold?. Into which of the following groups does your personal total annual compensation fall?
Approve viol1 Lab NPV. TO WHAT EXTENT DO ATTITUDES APPROVING PARTNER VIOLENCE EXPLAIN HITTING A DATING PARTNER? DOES THIS THIS APPLY TO WOMEN AS WELL AS.
Chapter 5 Ethics, Politics, and Diversity. Ethics, politics and diversity at work  Power and politics are routinely used in workplace relationships.
Approve viol1 Lab 7. TO WHAT EXTENT DO ATTITUDE AND CULTURAL NORMS EXPLAIN PARNER VIOLENCE, AND IS THE RELATIONSHIP DIFFERENT FOR MEN AND WOMEN? The Research.
Center for Institutional Effectiveness LaMont Rouse, Ph.D. Fall 2015.
Discussion Outline I. Defining Families II. The Family in Sociological Theory III. Studying Families.
Setting Consistent Appraisal Targets. Starter: Think about targets that you have been set How did you feel? DepressedScaredStimulatedWorriedChallenged.
Men’s and Women’s Informal Social Networks in a Team-Structured Investments Company Vernon A. Woodley The University of Iowa.
Unit One Theoretical Assumptions in the Classroom HHS 4M Ms. Dana Dray.
Business School Action for the career development of academic women Simonetta Manfredi, Centre for Diversity Policy Research Oxford Brookes University.
Deep Dyadic Friendships vs. Broad Peer Preference During Adolescence as Predictors of Adolescent and Adult Internalizing Symptoms Rachel K. Narr & Joseph.
Hypothesis Testing.
Prejudice.
Introduction Results Hypotheses Discussion Method
Two Way ANOVAs Factorial Designs.
Human Diversity Why learn about human diversity?
Introduction Results Methods Conclusions
Exercise 1 Use Transform  Compute variable to calculate weight lost by each person Calculate the overall mean weight lost Calculate the means and standard.
CHAPTER 10 Leadership.
Presentation transcript:

GENDER DIFFERENCES IN NETWORK PREFERENCES MONICA M. STALLINGS The Wharton School University of Pennsylvania

When seeking career-related advice, how do men and womens network preferences differ when it comes to relationship type and gender-based homophily? STUDY 1: Network Preferences Relationship type and Gender-based homophily

INFORMAL NETWORKS Informal networks linked to advantages for career progression and overall career success (Brass, 1985; Morrison & Von Glinow, 1990; Smith-Lovin & McPherson, 1993)

Network relationships characterized by type of resources exchanged: 1. instrumental purely job-related 2. expressive friendship / social support 3. multiplex job-related and friendship RELATIONSHIP TYPE

Instrumental: The exchange of job-related resources, including career direction guidance, exposure to upper management, obtaining challenging and visible assignments, and advocacy for promotion (Ibarra, 1993; Kram, 1988; Thomas, 1990) Multiplex: Numerous connections between two people may increase strength and richness of a relationship and may also provide increased benefits (Ibarra, 1992) RELATIONSHIP TYPE

GENDER-BASED HOMOPHILY Propensity of individuals to interact with similar others (e.g. sex, race, age) similarity-attraction theory (Festinger, 1957; Heider, 1958) automatic in-group bias (Sherif & Sherif, 1988; Tajfel & Turner, 1986) high-status group, low status group (Kanter, 1977) gender commonality promotes trust (Ibarra, 1992)

HYPOTHESES H1: Men and women prefer multiplex ties more than instrumental ties. H2: Men and women prefer same-sex others more than opposite-sex others H3: Men and women most likely to seek advice from same-sex multiplex ties. H4: When same sex multiplex ties are not available, the gender of advice-seeker moderates interaction between homophily and relationship type in predicting likelihood in advice-seeking H4a: Men more likely to seek advice from same-sex instrumental tie than opposite-sex multiplex tie. H4b: Women more likely to seek advice from opposite-sex multiplex tie than same-sex instrumental tie

METHOD Multiplex Male advice-seeker Male advice-giver Male advice-seeker Male advice-giver Male advice-seeker Female advice-giver Male advice-seeker Female advice-giver Female advice-seeker Male advice-giver Female advice-seeker Male advice-giver Female advice-seeker Female advice-giver Female advice-seeker Female advice-giver Instrumental Multiplex 2x2x2 design

PROCEDURE 20-minute web-based survey vignette places participant in situation involving career- related decision in context of a professional services firm participant considering approaching one of a handful of equally senior status individuals, both men and women, for career advice. participant given description of relationship shared with only ONE of those senior status individuals description gives name of potential advice-giver cueing gender and characterization of the relationship priming relationship type (see next slide) DV: likelihood of advice-seeking derived from the average of 3 items

VIGNETTE CUES Instrumental Cue: –[ NAME] is known as a star at the firm. You know [NAME] because you were a member on one of [NAME]s deal teams. Your conversations take place on a professional level regarding mostly work related issues. You consider [NAME] to be a colleague rather than a friend. Your relationship is based only on professional interactions since you have never interacted with [NAME] on a personal level. Multiplex cue: –[NAME] is known as a star at the firm. You know [NAME] because you were a member on one of his/her deal teams. You also know [NAME] because you both trained for the NYC marathon and you occasionally ran together. Your conversations take place on both a professional level (where strictly work-related issues are discussed) and a personal level (where mostly non-work related issues are discussed). You consider [NAME] to be a colleague and a friend. Your relationship is based on both professional interactions and personal interactions.

ANALYSES ANOVA -Gender of Advice Seeker -Gender of Advice Giver -Relationship Type Planned contrasts to test preferences

Warmth-Competence Model Warmth high low high Competence low Admiration High status, not competitive Pride, admiration (e.g., in-group, close allies Paternalistic prejudice Low status, not competitive Pity, sympathy (e.g., elderly people, disabled people) Contemptuous prejudice Low status, competitive Contempt, disgust, anger resentment (e.g., welfare recipients, poor people) Envious prejudice High status, competitive Envy, jealousy (e.g., rich people, feminists, Asians, Jews) Source: Fiske, Cuddy, Glick & Xu, 2002, Table 1, p. 881 Instrumental, Female advice-giver Multiplex, Male advice-giver Multiplex, Female advice-giver Instrumental, Male advice-giver

Test of Between Subject Effects for Three-Factorial Design Source Type III df Mean F Sig. Sum of Squares Square Corrected Model (a) Intercept Relationship type * Gender Advice-Giver Gender Advice-Seeker * Relationshiptype* Gender Advice-Giver Relationshiptype* Gender Advice-Seeker Gender Advice-Giver * Gender Advice-Seeker * Relationship type * Gender Advice-Giver * Gender Advice-Seeker Error Total Corrected Total a R Squared =.310 (Adjusted R Squared =.273) * p<.05 H1 H2 H3

STUDY 1 RESULTS: Relationship type Take-Away (H1) Both women and men prefer multiplex ties more than instrumental ties

STUDY 1 RESULTS: Gender-based homophily Take-Aways (H2) Men do not significantly prefer same-sex ties more than opposite- sex ties. Women prefer same-sex more than opposite-sex ties, marginally significant.

STUDY 1 RESULTS: Gender and Relationship type Take-Away (H3) Both men and women prefer same-sex multiplex ties more than any other type of tie WOMEN ADVICE-SEEKERS MEN ADVICE-SEEKERS

STUDY 1 RESULTS: Gender and Relationship type When same-sex multiplex ties are NOT available, the next most preferred tie for (H4): MEN (H4a) – Male advice-seekers prefer either instrumental males or multiplex females. No significant difference between the two groups. WOMEN (H4b) – Female advice-seekers significantly prefer multiplex male advice-givers more than instrumental female advice-givers Take-Away: Both women and men seem to place instrumental women low on the preference hierarchy. WOMEN ADVICE-SEEKERSMEN ADVICE-SEEKERS Contrast 2: Significant difference Contrast 2: NOT a significant differenceContrast 1: NOT a significant difference Gender Differences in Informal Networks by Monica Stallings

STUDY 1 RESULTS: Gender and Relationship type More Take-Aways Contrast 3 – Men significantly prefer male multiplex advice-givers over female multiplex advice givers. Implication: Men value same-sex ties – relationship type not as important. Contrast 4 – Women prefer both female multiplex advice-givers and male multiplex advice-givers. No significant difference between the two groups. Implication: Women value multiplex ties– gender not as important. WOMEN ADVICE-SEEKERS Contrast 4: NOT a significant difference MEN ADVICE-SEEKERS Contrast 3: Significant difference