facebook advertisements for cross - cultural survey recruitment · 2020. 3. 3. · facebook...
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Facebook advert isem ent s for cross-cu lt u ra l survey recru itm ent :
Insights from the 46-country World Relationships Study
2020/3/24 1
Dr. Mie Kito , Meiji Gakuen University; Dr. Joanna Schug, College of William & Mary; Dr. Christ opher Kavanagh , Oxford University;Dr. Taciano Milfon t , Victoria University of Wellington; Ms. Mariko Visserman , VU University Am sterdam ; Mr. Mihkel Joasoo, University of Tartu; Dr. Ma ja Becker, Université Toulouse Jean Jaurès; Dr. Ju lia Becker, University of Osnabrueck; Ms. Ruth ie Pliskin , Tel Aviv University and the Interdiscip linary Center Herzliya; Dr. Purn ima Singh , Indian Institute of Technology Delhi; Dr. Mart a Fulop , Hungarian Academ y of Sciences; Dr. Claud ia Manzi, UniversitàCattolica del Sacro Cuore; Dr. Jona than Jong, University of Oxford; Dr. Ci-Yue Ch iu , Chinese University of Hong Kong; Dr. Urszula Marcinkowska , Collegium Medicum of the JagiellonianUniversity; Dr. Fe lix Neto, University of Porto; Dr. Alva ro San Mart in , IESE Business School; Ms. Ana Maria Hough ton Ille ra , Colegio Colom biano de Psicólogos; Ms. Ca rolina Maria Ferre ira Colmenero, Universidad Nacional de Educación a Distancia; Dr. Ma ja Becker, Université Toulouse Jean Jaurès; Ms. Pe lin Gul, University of Kent; Dr. Dmyt ro Khutkyy, Higher School of Econom ics; Dr. Nour Sami Kte ily, Northwestern University
Robert Thomson and Masaki Yuki, Hokkaido University, Japan
Presented at the 2nd 3MC International Conference, Chicago, USA, 21st July 2015
Collaborators:
I wish t o convince you t ha t :
• Facebook ads are great for multi -count ry surveyparticipant recruitm ent• Including difficult to reach developing-country populations
• Reasonable data quality
• But there are som e im portant caveats• Us Facebook users, we’re t he re t o be en t e rt a ined
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Overview
The World Re la t ionsh ips St udy
• Core purpose: validate re la t iona l m obilit y• Opportunity and freedom to choose interpersonal
relationships based on personal preference (Yuki et al., 2007; Yuki & Schug, 2012)
• Explains societal differences in behavior and psychology• Interpersonal similarity1, self-disclosure2, self-enhancement 3, shame4,
self-esteem5, general trust6, desire for uniqueness7 etc.
• Need studies beyond East -West dichotomy• Validation as a concept and• The 12-item relational mobility scale (Yuki et al. 2007)
as a measurement tool
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Background
1 Schug et al., 20092 Schug et al., 20103 Falk et al., 20094 Sznycer et al., 20125 Sato et al., 2014
6 Yuki et al., 2007; Thomson et al., 20157 Takemura, 2014
Nth. Am ericaHIGH
rela t iona l mobilit yOpen m arke t for
interpersonal relationships
East -AsiaLOW
rela t iona l mobilit yClosed m arke t for
interpersonal relationships
The World Re la t ionsh ips St udy
• Let ’s do a m ult i-count ry survey – 40 countries (n = 300 per country)
• Japan-based data solutions company quote: US$186,000 ba ll-pa rk
• What about Facebook?• 70 count rie s with > 30% penetration (June 2013)
• Includes Middle East, North Africa, South Am erica, South-east Asia
• Cost-per-click US$0.10 (Tunisia ) – US$1.52 (Japan)
• Response rates 10% to 40% (Ram o et al., 2012; Tan et al, 2012; Kito, 2010)
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Background
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I’ve t ried Facebook ads be fore(and fa lied )
Before The World Re la t ionsh ips St udy (see Thomson & Ito, 2014 for published paper)
• Masters thesis p roject (2012)• Internet p rivacy concern survey
(18 countries)• Recruited via Facebook ads• $50 Am azon voucher draw
• Externa l m ot iva tor
• Survey design was default Qualtricslayout
• Spend: US$2,099 (7 days) Total valid N = 399 (90 fem ale)
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Background
English Japanese
French Arabic
Before The World Re la t ionsh ips St udy
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Background
0.00
0.01
0.02
0.03
02468
101214
Internet privacy concern survey response Rate (%) and Reward Value (as 1/100% of GDP per capita)
Response ra t e (%) Reward Va lue (% of GDP per cap it a )
r = .89, p < .001
02468
101214
Internet privacy concern survey response Rate (%) and Reward Value (as 1/100% of GDP per capita)
Response ra t e (%)
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Let ’s t ry Facebook ads aga in(and not fa il)
World Re la t ionsh ips Survey• 1st wave: 46-countries (21
languages)• 5-min survey via Facebook
ads• Countries with >30%
Facebook penetration• Two versions
• Romance and friendsh ip
9
Variab les
• Rela t iona l m obilit y (Yuki et al.’s 2007 12-item scale)
• Self-disclosure (Schug et al., 2010)
• Intimacy (Sternberg, 1986)
• Interpersonal similarity (Schug et al., 2009)
• Others (no. of romantic partners etc)
• Demographics
2020/3/24 北海道大学 10Robert Thomson
Advert se t t ings• Object ive : clicks to website• Targeting: Country of residence
• Underperform ing count ries on ly: Targeted based on interests –rom ance, friendships, boy/girlfriend, m arriage etc (those countries not part of m ain dataset)
• Placem ent : Desktop /m obile news feed, desktop right colum n• NOT “Audience Network” – copious clicks, few responses• Instagram now availab le – haven’t tried it yet
• Bidd ing: Autom atic• Budget based on m id-m arket p rices
• Schedule : Continuous for approx. one week (x 3 waves)
2020/3/24 北海道大学 11Robert Thomson
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13
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Did t he Facebook ads work?
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N = 800
N = 450
N = 250
N = 70
Part icipan t s( N = 18,707, 46 coun t ries( Fem ale percent: 85% (SD= 13%)Age (yrs): 29 (SD= 6)
Averages
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Click-th rough-ra t e (M = 2.8%, SD = 1.4%)
8.5%
4.8%
3.3%
1.8%
Percent of people disp layed an ad who actually clicked on it
↓
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40%
20%
10%
3%
Response ra t e (M = 15.2%, SD = 10.8%)
Percent of people who clicked on an ad who
validly com pleted survey↓
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$3.50
$1.80
$0.90
$0.30
Cost pe r va lid response (M = US$1, SD =US$0.86)
Cost per valid response↓
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Were t he da t a OK?
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Measurement modelRe la t iona l m obilit y m easurem ent m ode l
Our general relational mobility measurement model (first proposed by Yuki et al., 2007) – 12 item s, 1-6 Likert
RM1 RM2 RM4r RM3RM5r RM8 RM6 RM7r RM9r RM10 RM11r RM12r
COMMON METHOD
BIAS*
RELATIONAL MOBILITY
MEETING CHOOSING
1 1
1 1
12 it em s, 1-6 Likert
11 1-1 -1 -1
-111 1 -1 -1
* CFA Common method bias control strategy as outlined in Biliet & Cambre (2003), Billiet & McClendon (2000) and Weijterset al. (2010)
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.32
.12
.07
.04
Acquiescen t response style (van Dijk et al., 2009) Corre la t ion with UNDP Educa t ion Index
r = -.50, p < .01
Proportion of acquiescent to non-acquiescent
responses in relational m obility scale item s
↓
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Rela t iona l m obilit y sca le re liab ilit y
.88
.70
.60
.55
Cronbach’s alpha
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Rela t iona l m obilit y sca le m easurem ent inva riance
.99
.96
.93
.89
Identity Coefficient (via Procrustes Factor
Analysis)↓
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Rela t iona l m obilit y scores by count ry Rela t iona l m ob ilit y la t en t m eans
LOW HIGH
High corre la t ions (r > .50)
with:
✔ Self-disclosure✔ Intim acy✔ Interpersonal sim ilarity✔ Tightness-looseness✔ National-level external-
and internal-threats etc.
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Wrapping up
Can you he lp?
Key insigh t s
• Facebook ads were very cost effective in m ost countries
• An engaging survey is essential• In t rinsic reward is im portant (it’s only fair)
• Self-se lect ion b ia s at its finest• Courtesy of Facebook’s targeting algorithm
• Provided us with extrem ely strong supportive data• Next step : cross-validate with ‘traditional’ sam ple
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2020/3/24
Q & AKeep in touch: www.rob thom o.com
References (1)
2020/3/24 29Robert Thomson Hokkaido University/JSPS
APPENDIX II-a
Barker, R. G. (1968). Ecological Psychology: Concepts and Methods for Studying the Environment of Human Behavior. Stanford University Press.Craik, K. H. (1973). Environmental Psychology. Annual Review of Psychology, 24(1), 403–422. doi:10.1146/annurev.ps.24.020173.002155Davies, N. B., Krebs, J. R., & West, S. A. (2012). An Introduction to BehaviouralEcology (4 edition). Oxford; Hoboken, NJ: Wiley-Blackwell.Ellis, J. B., & Wittenbaum, G. M. (2000). Relationships Between Self-Construal and Verbal Promotion. Communication Research, 27(6), 704–722.
doi:10.1177/009365000027006002Falk, C. F., Heine, S. J., Yuki, M., & Takemura, K. (2009). Why do Westerners self-enhance more than East Asians? European Journal of Personality, 23(3), 183–203.
doi:10.1002/per.715Fischer, R., & Fontaine, J. R. J. (2011). Methods for Investigating Structural Equivalance. In D. R. Matsumoto & F. J. R. van de Vijver(Eds.), Cross-cultural research
methods in psychology (pp. 179–215). New York: Cambridge University Press.Kelly, J. G. (1971). Qualities for the community psychologist. American Psychologist, 26(10), 897–903. doi:10.1037/h0032231Kitayama, S., & Cohen, D. (2010). Handbook of Cultural Psychology. Guilford Press.KIto, M., Yamada, J., & Yuki, M. (2015). Intimacy as an adaptive psychological process: Intimacy and social support in a high relationally mobile society.
Presented at the 16th Annual Meeting of the Society for Personality and Social Psychology, Long Beach, USA.Li, L. M. W., Adams, G., Kurtiş, T., & Hamamura, T. (2014). Beware of friends: The cultural psychology of relational mobility and cautious intimacy. Asian Journal of
Social Psychology, n/a–n/a. doi:10.1111/ajsp.12091Markus, H. R., & Kitayama, S. (1991). Culture and the Self: Implications for Cognition, Emotion, and Motivation. Psychological Review, 98(2), 224.Matsumoto, D. (1999). Culture and self: An empirical assessment of Markus and Kitayama’stheory of independent and interdependent self -construals. Asian
Journal of Social Psychology, 2(3), 289–310. doi:10.1111/1467-839X.00042Oishi, S. (2014). Socioecological psychology. Annual Review of Psychology, 65, 581–609. doi:10.1146/annurev-psych-030413-152156Oishi, S., & Graham, J. (2010). Social ecology: Lost and found in psychological science. Perspectives on Psychological Science, 5(4), 356–377.Rui, J., & Stefanone, M. A. (2013). Strategic self-presentation online: A cross-cultural study. Computers in Human Behavior, 29(1), 110–118.
doi:10.1016/j.chb.2012.07.022
References (2)
2020/3/24 30Robert Thomson Hokkaido University/JSPS
APPENDIX II-b
Sato, K., & Yuki, M. (2014). The association between self-esteem and happiness differs in relationally m obile vs. stab le interpersonal contexts. Cultural Psychology, 5, 1113. doi:10.3389/fpsyg.2014.01113
Schug, J., Yuki, M., Horikawa, H., & Takemura, K. (2009). Similarity attraction and actually selecting similar others: How cross-societal differences in relational mobility affect interpersonal similarity in Japan and the USA. Asian Journal of Social Psychology, 12(2), 95–103. doi:10.1111/j.1467-839X.2009.01277.x
Schug, J., Yuki, M., & Maddux, W. (2010). Relational mobility explains between- and within -culture differences in self-disclosure to close friends. Psychological Science: A Journal of the American Psychological Society APS, 21(10), 1471–8.
Sternberg, R. J. (1986). A triangular theory of love. Psychological Review, 93(2), 119–135. doi:10.1037/0033-295X.93.2.119Sznycer, D., Takemura, K., Delton, A. W., Sato, K., Robertson, T., Cosmides, L., & Tooby, J. (2012). Cross-cultural differences and similarities in proneness to shame:
An adaptationist and ecological approach. Evolutionary Psychology. Retrieved from http://www.epjournal.net/articles/cross -cultural-differences-and-similarities-in-proneness-to-shame-an-adaptationist-and-ecological-approach/
Takemura, K. (2014). Being Different Leads to Being Connected On the Adaptive Function of Uniqueness in “Open” Societies. Journal of Cross-Cultural Psychology, 0022022114548684. doi:10.1177/0022022114548684
Wang, C. S., & Leung, A. K.-Y. (2010). The cultural dynamics of rewarding honesty and punishing deception. Personality & Social Psychology Bulletin, 36(11), 1529–1542. doi:10.1177/0146167210385921
Yamagishi, T. (2011). Trust: The evolutionary game of mind and society. Tokyo; New York: Springer. Retrieved from http://dx.doi.org/10.1007/978-4-431-53936-0
Yamagishi, T., Hashimoto, H., & Schug, J. (2008). Preferences versus strategies as explanations for culture-specific behavior. Psychological Science, 19(6), 579–584. doi:10.1111/j.1467-9280.2008.02126.x
Yamagishi, T., & Yamagishi, M. (1994). Trust and Commitment in the United States and Japan. Motivation and Emotion. , 18(2), 129.Yuki, M., & Schug, J. (2012). Relational mobility: A socio-ecological approach to personal relationships. In O. Gillath, G. Adams, & A. D. Kunkel (Eds.), Relationship
science: integrating evolutionary, neuroscience, and sociocultural approaches(pp. 137–152). Washington, D.C.: American Psychological Association.Yuki, M., Schug, J., Horikawa, H., Takemura, K., Sato, K., Yokota, K., & Kamaya, K. (2007). Development of a scale to measure perceptions of relational mobility in
society. CERSS Working Paper 75, Center for Experimental Research in Social Sciences, Hokkaido University. Retrieved from http://lynx.let.hokudai.ac.jp/cerss/english/workingpaper/index.cgi?year=2007
Rela t iona l m ob ilit y sca le (Yuki et al., 2007; 12 items)
2020/3/24 31Robert Thomson Hokkaido University/JSPS
APPENDIX I
How m uch do you feel the following statem ents accurately describe people in the immediate socie ty in which you live (friends and acquaintances in your school, colleagues in your workplace, and residents in your town etc.)?
• They (the people around you) have m any chances to get to know other people.• It is com m on for these people to have a conversation with som eone they have never m et before.• They are ab le to choose, according to their own preferences, the people whom they interact with in their daily life .• There are few opportunities for these people to form new friendships. (reversed)• It is uncom m on for these people to have a conversation with people they have never m et before. (reversed)• If they did not like their current groups, they could leave for better ones.• It is often the case that they cannot freely choose who they associate with. (reversed)• It is easy for them to m eet new people.• Even if these people were not com pletely satisfied with the group they belonged to, they would usually stay with it anyway. (reversed)• They are ab le to choose the groups and organizations they belong to.• Even if these people were not satisfied with their current relationships, they would often have no choice but to stay with them . (reversed)• Even though they m ight rather leave, these people often have no choice but to stay in groups they don’t like. (reversed)
1 = Strongly disagree, 2 = Disagree, 3 = Slightly disagree, 4 = Slightly agree, 5 = Agree, 6 = Strongly agree
adap t ive t a sks( Oishi, Schug, Yuki, & Axt, 2015(
Socio-ecologica l approach
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Oishi & Graham , 2010
Socia l ecology
Physical environm ent
Interpersonal environm ent
Social environm ent
CultureSym bols, m eaning,
rituals etc.
Hum an psychology and behavior
Relational mobility
Similar to: Ecological (Barker, 1968), environmental (Craik,
1973), community (Kelly,
1971) cultural (Kitayama &
Cohen, 2007)
psychologies, behaviouralecology (Davies et al., 2012)
(Oishi 2014)
What is re la t iona l m ob ilit y?
2020/3/24 北海道大学 33Robert Thomson
High degree of personal choice in interpersonal
relationships・
Easy to change relationships
High re la t iona l m ob ilit y
Lower degree of personal choice in interpersonal
relationships(
Less ease in changing relationships
Low re la t iona l m ob ilit y
Nth . America
Japan
The degree to which there is the opportunity and freedom to form and sever – according to one’s preferences – relationships and group m em berships in a society or social context (Yuki et al. 2007, Yuki & Schug 2012)
Falk, Heine, Yuki, & Takemura, 2009; Schug, Yuki, Horikawa, & Takemura, 2009; Sznycer et al., 2012; Wang & Leung, 2010; Yuki et al., 2007
1st year uni
3rd year uni
Urban
Rural
Nth . America
Japan
Theory
In terpersonalenvironments
d iffer
Adapt ive t a sks inh igh re la t iona l m ob ilit y socia l con t ext s
Acquisit ion of desirab le re la t ionships/group memberships
• Positive self-regard (self-enhancement; Falk et al. 2009)
• Self-esteem (Sato & Yuki, 2014)
• General trust (Yamagishi & Yamagishi 1994; Yamagishi, 2011)
• Desire for uniqueness (Takemura, 2014)
Retention of desirable relationships/group memberships
• Self-d isclosure (Schug et al. 2010)
• In t im acy (Kito et al., 2015)
2020/3/24 北海道大学 34Robert Thomson
Theory
Consequence: In terpersonal sim ilarity (Schug et al., 2009)
Adapt ive t a sk inlow re la t iona l m ob ilit y socia l con t ext s
Maintenance of harmony• Avoiding offence (Yamagishi, Hashimoto, & Schug 2008)
• Rejection sensitivity (Sato, Yuki, & Norasakkunkit, 2014)
• Shame proneness (Sznycer et al. 2012)
• Caution about friends (Li et al., 2014)
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Theory
Rela t iona l m ob ilit ylim it a t ions/fu t ure d irect ions
• What about the rest of the world?• Measurement of relational mobility
• Yuki et al.’s (2007) 12-item relational mobility scale (1 -6 Likert)• How much do you feel the following statements accurately describe peop le
in t he im m edia t e socie ty in which you live (friends and acquaintances in your school, colleagues in your workplace, and residents in your town etc.)?
• They (the people around you) have m any chances to get to know other people.
• It is uncom m on for these people to have a conversation with people they have never m et before . (reversed)
• They are ab le t o choose the groups and organizations they belong to.• Even though they m ight rather leave, these people often have no choice but
to stay in groups they don’t like. (reversed)
2020/3/24 北海道大学 36Robert Thomson
Limitat ions/Future d irections
Opportun it ie s for m ee t ing new peop lefactor
Freedom of re la t iona l choicefactor
(socie ty-leve l const ruct )
Part icipan t s( N = 18,939, 39 count ries(
37
WRS Results
Ave. Facebook penetrat ion rate : 46%Mean click-through rate : 3%Mean response rate : 16%
Mean age: 28 years oldMean female percentage: 87%
228 29
529
930
530
630
730
931
932
432
533
633
633
935
035
835
936
038
639
339
540
541
842
745
045
146
646
747
148
349
954
455
6 649
682
682
710 78
6 911
0
200
400
600
800
1000
N
Facebook ad cost pe r va lid response(JPY, over a ll waves)
38
WRS Results
5 13 15 15 19 24 25 27 32 32 36 37 38 38 38 40 46 49 57 68 84 85 8711
2 134
136
137
143
149
153
160 18
519
320
220
221
3 246 28
635
0
0
50
100
150
200
250
300
350
400
JPY
2020/3/24 39
0%
10%
20%
30%
40%
50%
60%
70%
80%
Facebook pene t ra t ion ra t e (2015)WRS Results
Facebook pene t ra t ion ra t e((percent of population using Facebook at least once a m onth)
M = 46% (SD= 13%)
Can we expect representative exposure to ads?
http://www.allin1social.com/facebook/country_stats/
0.00%
1.00%
2.00%
3.00%
4.00%
5.00%
6.00%
7.00%
8.00%
9.00%
2020/3/24 40
Click-t h rough ra t eWRS Results
Click-th rough ra t e(percent of users seeing ads who clicked on ad)
M = 3% (SD= 1%)
What percent of users who were displayed ads clicked on the ads?
Mdn =2%
2020/3/24 41
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Response ra t eWRS Results
Response ra t e (percent of users who clicked on ad and validly completed survey)
M = 16% (SD= 10%)
What percent of users who clicked on ads actually completed the survey?
2020/3/24 42
40%
50%
60%
70%
80%
90%
100%
Fem a le pe rcen t ageWRS Results
Percen t fem a le
M = 87% (SD= 9%)
What percent of respondents indicated female as gender?
0
5
10
15
20
25
30
35
40
45
50
2020/3/24 43
Mean ageWRS Results
Mean age(yea rs)
M = 28 (SD= 5)
How old are the respondents in each country?
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Assumptions
r = -.496*** *p < .01
Acquiescent response style( (Van Dijket al., 2009; Fischer et al., 2009; Ram m stedtet al., 2010)Greater than 0 m eans acquiescence
Educat ion Index (UNDP HDI, 2000)
Assum pt ionsResponses are unbiased by response styles?
Australia
Brazil
CanadaChile
Colombia
Egypt
Estonia
France
Germany
Hong KongHungary
Israel
Japan
Jordan
Lebanon
Libyan Arab JamahiriyaMalaysia
Mauritius
Mexico
Morocco
Netherlands
New Zealand
Palestinian Territories
Philippines
Poland
Portugal
Singapore
Spain
Sweden
Trinidad and Tobago
Tunisia TurkeyUkraine
United Kingdom
USA
Venezuela
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
All subsequent analyses use within -subject means -only standardization (Fischer, 2004)
0.56
0.60
0.64
0.64
0.65
0.67
0.68
0.70
0.73
0.74
0.75
0.75
0.78
0.78
0.79
0.79
0.79
0.80
0.80
0.81
0.81
0.81
0.82
0.82
0.83
0.83
0.83
0.83
0.83
0.84
0.84
0.84
0.85
0.85
0.85
0.86
0.86
0.89
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
Rela t iona l m ob ilit y sca le re liab ilit y( α (
45
α
WRS Results
Are people responding in a roughly consistent manner?
Rela t iona l m obilit y sca le m easurem ent inva riance (Multi-group CFA; Cheung & Rensvold, 1999)
2020/3/24 46
WRS Results
Does the tool work (measure relational mobility) well in every country?
Model S-Bχ 2 df *CFI *TLI *RMSEA Compare Δ *CFI Δ *TLI Δ *RMSEA
Configural (1) 4423.3 1950 .928 .905 .054 - - - - ✔Part ia l Metric (2) 5085.4 2292 .919 .909 .053 2 vs 1 .009 -.004 -.001 ✔Part ia l Scalar (3) 5506.3 2368 .909 .901 .055 3 vs 2 .010 .008 .002 ✔
• Configura l m ode l: Sam e structure as pooled sample across groups• Met ric inva riance : Sam e factor loadings as pooled sample across groups• Sca la r inva riance : Sam e item and 1st order factor intercep ts as pooled
sample across groups
N = 39 count rie sRho = .58 ~ .88
Means can bem eaningfu lly com pared across coun t ries
Cutoff points used: Metric vs. configural,Δ *CFI & Δ *TLI < .010, Δ *RMSEA < .015; Scalar vs. m etric, Δ *CFI & Δ *TLI < .010, Δ *RMSEA < .015 (Chen, 2007)
Relat ional Mobility Index
4.0
4.5
5.0
5.5
2.5 4.5 6.5 8.5 10.5 12.5
r = .433**
Sim
ilari
ty
Re lat ional Mobility Index
24.0
26.0
28.0
30.0
32.0
34.0
2.5 4.5 6.5 8.5 10.5 12.5
r = .581**
Self-
este
em
4.8
5.3
5.8
6.3
2.5 4.5 6.5 8.5 10.5 12.5
r = .340*
Relat ional Mobility Index
Inti
mac
y
3.4
3.6
3.8
4.0
4.2
4.4
2.5 4.5 6.5 8.5 10.5 12.5
r = .705***
Self-
disc
losu
re
Relational Mobility Index
East Asia ,MENA
Nth . Am erica
La t inAm erica
Europe
East Asia ,MENA
Nth . Am erica
La t inAm erica
Europe
East Asia ,MENA
Nth . Am erica
La t inAm erica
Europe
East Asia ,MENA
Nth . Am erica
La t inAm erica
Europe
2020/3/24 47
Pred ict ive va lid it y WRS Results
Story is supported
• Higher relational mobility requires strategies to acquire and re t a in desirab le relationships• Result is higher hom ophily in interpersonal relationships
Do previous East-West findings replicate across societies?
Relational Mobility andSelf-disclosure to close friend
Relational Mobility and Romantic Intimacy
Relational Mobility and Similarity
Relational Mobility and Self-esteem (Schmitt & Allick, 2005)
2020/3/24 48
Relational m obility and se lf-d isclosure t o a close friend
WRS Results
r = .705p < .001
Self-d isclosure to a close friend (scale: 1~ 5)
Rela t ional Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Australia
Brazil
Canada
Chile
Colombia
Egypt
Estonia
France
Germany
Hong Kong
HungaryIsrael
Japan Jordan
Lebanon
LibyaMalaysia
Mauritius
Mexico
Morocco
NetherlandsNew Zealand
Philippines
Poland
Portugal
Singapore
Spain
Sweden
Trinidadand
TobagoTunisia
Turkey
Ukraine
United KingdomUSA
Venezuela
Taiwan
Puerto Rico
Palestine3.4
3.6
3.8
4.0
4.2
4.4
3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0
2020/3/24 49
Relational m obility and rom ant ic in t im acy
WRS Results
r = .340p < .05
Intimacy with romant ic partner(scale: 1~ 7)
Rela t ional Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Australia
Brazil
Canada
Chile
Colombia
Egypt
EstoniaFrance
Germany
Hong Kong
Hungary Israel
Japan
Jordan
Lebanon
Libya
Malaysia
Mauritius
MexicoMorocco
NetherlandsNew ZealandPhilippines
PolandPortugal
SingaporeSpain
Sweden
Trinidadand
Tobago
Tunisia
Turkey Ukraine
United KingdomUSA
Venezuela
Taiwan
Puerto Rico
Palestine
5.0
5.2
5.4
5.6
5.8
6.0
6.2
3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0
2020/3/24 50
Relational m obility and se lf-est eem
WRS Results
r = .581p < .01
Self-esteem(country-level data from Schm itt & Allick, 2005)
Rela t ional Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Australia
BrazilCanada
ChileEstonia
France
Germany
Hong Kong
Israel
Japan
Lebanon
Malaysia
Mexico
Morocco
Netherlands
New ZealandPhilippines
PolandPortugal
Spain
Turkey
UK
USA
Taiwan
23.0
25.0
27.0
29.0
31.0
33.0
35.0
3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0
2020/3/24 51
Relational m obility and in t e rpersona l sim ila rit y
WRS Results
r = .433p < .01
(without Japan r = .368, p < .05)
Interpersonal similaritywith close friend
Rela t ional Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Australia
Brazil
CanadaChile
Colombia
EgyptEstonia
FranceGermany
Hong Kong
HungaryIsrael
Japan
Jordan
Lebanon
LibyaMalaysia MauritiusMexicoMorocco
Netherlands
New Zealand
Philippines
PolandPortugal
SingaporeSpain
Sweden
Trinidad
TunisiaTurkey
Ukraine
UKUSA
Venezuela
Taiwan
Puerto Rico
Palestine
4.0
4.5
5.0
5.5
3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0
3.00
5.00
7.00
9.00
11.00
-3.00 -1.00 1.00
r = -.511**
Demanding Geoclimate(Midrange temperature controlled for the
winter -summer variation in temperature; Van de Vliert, 2006)
3.00
5.00
7.00
9.00
11.00
-3.00 -1.00 1.00
r = -.413*Rela
tion
al M
obili
ty In
dex
Historical Prevalence of Pathogens
East Asia ,MENA
Lat inAmerica
EuropeNth . America
East Asia ,MENA
Lat inAmerica
EuropeNth . America
2020/3/24 52
Const ruct va lid it y: Anteceden t s t o Re la t iona l Mobilit y
WRS Results
Association with closed/open societies...are they associated with relational mobility?
Pathogen prevalence (McEvedy & Jones, 1978) and relational mobility
(N = 32)
Demanding geoclimate (Van de Vliert, 2006)and relational mobility
(N = 27)
Story
Such ecologies select for exclusive, closed social systems
• Closed societies to avoid pathogen ingress
• High reciprocation, cooperation, high mutual surveillance to avoid free-riding in demanding geoclimate
3.00
5.00
7.00
9.00
11.00
-2.00 -1.00 0.00 1.00 2.00 3.00
r = .590***
Survival vs. self-expression
Surviva l vs. se lf-expression (Ingelhart et al., 2005) and relational
m obility (N = 34)
East Asia ,MENA
EastEurope
West EuropeNth . America
La t in America
2020/3/24 53
Pa t hogen p reva lence and relational mobility
WRS Results
r = -.279p < .10
Relational Mobility Index
Historica l p reva lence of pa thogens (Murray & Schaller, 2010)
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceaniaAustralia
BrazilCanada ChileColombia
Egypt
Estonia
France
Germany
Hong Kong
Israel
JapanJordan
LebanonLibyan Arab Jamahiriya
Mexico
Morocco
Netherlands
New Zealand
Philippines
Poland
Portugal
Singapore
SpainSweden
Trinidad and Tobago
Tunisia
Turkey
Ukraine
United KingdomUSA
Venezuela
Taiwan
Puerto Rico
4.0
6.0
8.0
10.0
12.0
-1.50 -1.00 -0.50 0.00 0.50 1.00 1.50
2020/3/24 54
Tubercu losis pe r 100,000 peop leand relational mobility
WRS Results
r = -.372p = .026
N = 36
Relational Mobility Index
Incidence of t ubercu losis per 100,000 peop le (log)(World Health Organization, 1990 to 2013 average)
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Australia
BrazilCanada ChileColombia
Egypt
Estonia
France
Germany
Hong Kong
Hungary
Israel
JapanJordan
LebanonLibyan Arab Jamahiriya
Malaysia
Mauritius
Mexico
Morocco
Netherlands
New Zealand
Philippines
Poland
Portugal
Singapore
SpainSweden
Trinidad and Tobago
Tunisia
Turkey
Ukraine
United KingdomUSA
Venezuela
Puerto Rico
3.00
5.00
7.00
9.00
11.00
0.50 1.00 1.50 2.00 2.50
2020/3/24 55
Dem anding geoclim a t eand relational mobility
WRS Results
r = -.536p < .01
Relational Mobility Index
Demanding Geoclimate(Midrange tem perature controlled for the winter-sum m er variation in tem perature; Van de Vliert, 2006)
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra lia
BrazilCanada
Colom bia
Egyp t
France
Germ any
Hong Kong
Hungary
Israe l
JapanMalaysia
Mexico
Morocco
Netherlands
New Zea land
Ph ilipp ines
Poland
Portuga l
Singapore
Spa inSweden
Turkey
Unit ed KingdomUSA
Venezue la
Ta iwan
3.0
5.0
7.0
9.0
11.0
-2.50 -2.00 -1.50 -1.00 -0.50 0.00 0.50 1.00 1.50 2.00 2.50
2020/3/24 56
Surviva l vs. se lf-expression (Ingelhart et al., 2005) and relational mobility (N = 33)
WRS Results
r = .587p < .001
Relational Mobility Index
Surviva l vs. se lf-expression (Ingelhartet al., 2005) and relational m obility
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceaniaAustralia
Brazil CanadaChileColombia
Egypt
Estonia
France
Germany
Hong Kong
Hungary
Israel
JapanJordan
Malaysia
Mexico
Morocco
Netherlands
New Zealand
Philippines
Poland
Portugal
Singapore
SpainSweden
Trinidad and Tobago
Turkey
Ukraine
United KingdomUSA
Venezuela
Taiwan
Puerto Rico
3.0
5.0
7.0
9.0
11.0
-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0
2.00
4.00
6.00
8.00
2.50 4.50 6.50 8.50 10.50
r = .568**
Just
ifiab
ility
of d
ivor
ce
Relational Mobility Index
0.00
4.00
8.00
12.00
2.00 4.00 6.00 8.00 10.00
r = -.417*
Relat ional Mobility Index
Tigh
tnes
s
Relational Mobility and Tigh tness (Gelfand et al., 2011) (N=22)
East Asia,MENA
Nth . Am erica
La t inAm erica
Europe
East Asia ,MENA
Nth . Am erica
La t inAm erica
Europe
2020/3/24 57
Const ruct va lid it y: Outcom es WRS Results
Expected associations with high/low relational mobility?
Relational Mobility andJustifiability of Divorce
(WVS w6, 2014) (N=26)
Story
Where choice abounds, so should excuses for divorce.
Closed com m itted social contexts should foster strong norm s; adherence of such should help avoid disharm ony within long-lasting relationships.
0.40
0.60
0.80
1.00
2.50 4.50 6.50 8.50 10.50
r = .471**
New
acq
uain
tanc
es in
last
mon
th
Relational Mobility Index
East Asia ,MENA
Nth . Am erica
La t inAm erica
Europe
Relational m obility and num ber of new acqua in t ances in la st m onth (log)
2020/3/24 58
Relational mobility and num ber of new acqua in t ances in la st m ont h (log)
WRS Results
r = .471p < .01
Number of new acqua in t ances in la st month(log)
Rela t ional Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceaniaAustralia
Brazil
Canada
Chile
Colombia
Egypt
Estonia
France
Germany
Hong Kong
Hungary
Israel
Japan
JordanLebanonLibya
Malaysia
Mauritius
Mexico
Morocco
Netherlands
New Zealand
Philippines
Poland
Portugal
Singapore Spain
Sweden
Trinidadand
Tobago
Tunisia
Turkey
Ukraine
United Kingdom
USAVenezuela
Taiwan
Puerto Rico
Palestine
0.5
0.6
0.7
0.8
0.9
1.0
3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0
2020/3/24 59
Const ruct va lid it y: Va lues and cu lt u re WRS Results
Associations with other cultural/value constructs?
0
50
100
3 5 7 9 11
Relat ional Mobility Index
Ind ividua lismr = .184
0
50
100
3 5 7 9 11
Relat ional Mobility Index
Power Dist ance
r = -.2500
50
100
3 5 7 9 11
Relat ional Mobility Index
Mascu lin it y
r = -.2340
50
100
3 5 7 9 11
Relat ional Mobility Index
Uncert a in ty Avoidance
r = .1240
50
100
3 5 7 9 11
Relat ional Mobility Index
Long Term Orien t a t ionr = -.189
3
4
4
5
3 5 7 9 11
Relat ional Mobility Index
Em beddedness
r = -.413†
3
3
4
4
5
3 5 7 9 11
Relat ional Mobility Index
Affect ive Autonom yr = .367 †
2
2
3
3
3 5 7 9 11
Relat ional Mobility Index
Hiera rchyr = -.444*
4
4
4
4
4
3 5 7 9 11
Relat ional Mobility Index
Mast e ryr = -.056
4
5
5
6
3 5 7 9 11
Relat ional Mobility Index
Ega lit a rian com m itm ent
r = .501*
(2001) HofstedeN = 32
Schwart z (1994)
N = 20
2020/3/24 60
Relational m obility and socia l cyn icism
WRS Results
r = -.460p = .04
Social Cynicism Index(Bond et al., 2004)“Represents a negative view of hum an nature, especially as it is easily corrupted by power;a b iased view against som e groups of people; a m istrust of social institutions; and a disregard ofethical m eans for achieving an end.”
Rela t ional Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Brazil
Canada
Eston ia
France
Germ anyHong Kong
Hungary
Israe l
Japan
Malaysia
Netherlands
New Zea landPh ilipp ines
Portuga l
SingaporeSpa in
Turkey
UK
USA
Venezue la
Ta iwan
48.0
53.0
58.0
63.0
3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0
2020/3/24 61
Relational Mobility and Just ifiab ilit y of Divorce (WVS w6, 2014) (N=26)
r = .568p < .01
Relational Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra lia
Brazil
Colom bia
Egyp t
Eston iaGerm any
Hong Kong
Japan
JordanMalaysia
Mexico
Morocco
NetherlandsNew Zea land
Ph ilipp ines
Poland
Singapore
Spa in
Sweden
Trin idad and Tobago
Tun isiaTurkey
Ukra ine
USA
Taiwan
2.00
3.00
4.00
5.00
6.00
7.00
8.00
9.00
2.50 3.50 4.50 5.50 6.50 7.50 8.50 9.50 10.50 11.50
Just ifiab le : Divorce(World Values Survey w6, V205)
Never justifiable↓
↑Always justifiable
2020/3/24 62
Relational Mobility and Tight ness (Gelfand et al., 2011) (N=22)
WRS Results
r = -.417p < .05
Tightness
Relat ional Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra lia
BrazilEston ia
FranceGerm any
Hong Kong
Hungary Israe l
Japan
Malaysia
Mexico
Netherlands
New Zea land
Poland
Portuga l
Singapore
Spa in
Turkey
Ukra ine
UK
USA
Venezue la
0.00
2.00
4.00
6.00
8.00
10.00
12.00
3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00
2020/3/24 63
Em beddedness (Schwartz, 1994)
WRS Results
r = -.413p = .07
N = 20
EmbeddednessConformity with norms, valuing tradition, security, obedience. Focus on social order.
Relational Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceaniaAust ra lia Brazil
Eston ia
France
Germ any
Hong KongHungary
Israe l
Japan
Malaysia
Mexico
Netherlands
New Zea land
Poland
Portuga l
Singapore
Spa in
Turkey
USA
Taiwan
3
4
4
5
3 4 5 6 7 8 9 10
2020/3/24 64
Affect ive au t onom y (Schwartz, 1994)
WRS Results
r = .367p = .11
N = 20
Affective autonomyIndependent pursuit of pleasure, seeking enjoyment by any means
Relational Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra lia
Brazil
Eston ia
France
Germ any
Hong Kong
Hungary
Israe l
Japan
MalaysiaMexico
Netherlands
New Zea land
Poland
Portuga l
Singapore
Spa in
Turkey
USA
Taiwan
3
3
4
4
3 4 5 6 7 8 9 10
2020/3/24 65
In t e llect ua l au t onom y (Schwartz, 1994)
WRS Results
r = .231p = .33
N = 20
Intellectual autonomyAllowance for independent pursuit of ideas and thought (theoretical, political, etc,)
Relational Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra liaBrazil
Eston ia
Germ any
Hong Kong
HungaryIsrae l
Japan
Malaysia
Mexico
NetherlandsNew Zea land
PolandPortuga l
Singapore
Spa in
TurkeyUSA
Taiwan
3.50
4.00
4.50
5.00
3 4 5 6 7 8 9 10
2020/3/24 66
Mast e ry (Schwartz, 1994)
WRS Results
r = -.056p = .81
N = 20
MasteryIndividuals seeking success through personal action, even at expense of others. Need for independence, courage, ambition, drive, competence.
Relational Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra liaBrazil
Eston ia
France
Germ any
Hong Kong
Hungary
Israe l
Japan
Malaysia Mexico
Netherlands
New Zea land
Poland
Portuga l
Singapore
Spa in
Turkey
USA
Taiwan
3.60
3.70
3.80
3.90
4.00
4.10
4.20
4.30
4.40
3 4 5 6 7 8 9 10
2020/3/24 67
Harm ony (Schwartz, 1994)
WRS Results
r = .224p = .34
N = 20
HarmonyIndividuals are happy to accept their place in the world, with high emphasis on group.
Relational Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra lia
Brazil
Eston ia
France
Germ anyHungary
Japan
Mexico
NetherlandsNew Zea land Poland
Portuga l
Singapore
Spa in
Turkey
USA
Taiwan
3.50
4.00
4.50
5.00
3 4 5 6 7 8 9 10
2020/3/24 68
Hiera rchy (Schwartz, 1994)
WRS Results
r = -.444p = .05
N = 20
HierarchyClear social order, one’s place in hierarchy is accepted; modesty and self-control are expected
Relational Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra lia
Brazil
Eston ia
France
Germ any
Hong Kong
Hungary
Israe lJapan
Malaysia
Mexico
Netherlands
New Zea landPoland
Portuga l
Singapore
Spa in
Turkey
USA
Taiwan
1.90
2.10
2.30
2.50
2.70
2.90
3.10
3 4 5 6 7 8 9 10
2020/3/24 69
Ega lit a rian Com m it m ent (Schwartz, 1994)
WRS Results
r = .501p = .02
N = 20
Egalitarian commitmentExpectation that all are equal and mutual concern is important
Relational Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra lia BrazilEston ia
FranceGerm any
Hong KongHungary Israe l
Japan
Malaysia
Mexico
Netherlands
New Zea land
Poland
Portuga l
Singapore
Spa in
TurkeyUSA
Taiwan
4.50
4.70
4.90
5.10
5.30
5.50
5.70
3 4 5 6 7 8 9 10
2020/3/24 70
TEMPLATEWRS Results
r = .581p < .001
Self-d isclosure to a close friend (scale: 1~ 5)
Rela t ional Mobility Index
AfricaAsiaEuropeLatin AmericaMENANorth AmericaOceania
Aust ra lia
Brazil
Canada
Chile
Colom bia
Egyp t
Eston ia
France
Germ any
Hong Kong
HungaryIsrae l
JapanJordan
Malaysia
Maurit ius
Mexico
Morocco
Netherlands
New Zea land
Ph ilipp ines
Poland
Portuga l
Singapore
Spa inSweden
Trin idad and Tobago
Tun isia
Turkey
Ukra ine
UKUSA
Venezue la
Ta iwan
Puerto Rico
3.4
3.6
3.8
4.0
4.2
4.4
3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0
• Antecedents• Intant mortality 1960 -2014 average r = -.300, p < .10
• Adjusted r = -.358, p = .04
• A2012_death_disease_birth WHO r = -.295, p < .10• 1980, 1990, 2000, 2010 agriculture value added GDP percent World Bank
National accounts data and OECD National Account data files (perhaps make average)• 2010 r = -.405, p < .05
• 1500 real population density r = -.366, p < .10• Adjusted pathogen prevalence 9 item r = -.365, p = .04
2020/3/24 71