Restricted accessResearch articleFirst published online 2022-3
Are Regional Differences in Psychological Characteristics and Their Correlates Robust? Applying Spatial-Analysis Techniques to Examine Regional Variation in Personality
There is growing evidence that psychological characteristics are spatially clustered across geographic regions and that regionally aggregated psychological characteristics are related to important outcomes. However, much of the evidence comes from research that relied on methods that are theoretically ill-suited for working with spatial data. The validity and generalizability of this work are thus unclear. Here we address two main challenges of working with spatial data (i.e., modifiable areal unit problem and spatial dependencies) and evaluate data-analysis techniques designed to tackle those challenges. To illustrate these issues, we investigate the robustness of regional Big Five personality differences and their correlates within the United States (Study 1; N = 3,387,303) and Germany (Study 2; N = 110,029). First, we display regional personality differences using a spatial smoothing approach. Second, we account for the modifiable areal unit problem by examining the correlates of regional personality scores across multiple spatial levels. Third, we account for spatial dependencies using spatial regression models. Our results suggest that regional psychological differences are robust and can reliably be studied across countries and spatial levels. The results also show that ignoring the methodological challenges of spatial data can have serious consequences for research concerned with regional psychological differences.
AbdellaouiA.Hugh-JonesD.YengoL.KemperK. E.NivardM. G.VeulL.HoltzY.ZietschB. P.FraylingT. M.WrayN. R.YangJ.VerweijK. J. H.VisscherP. M. (2019). Genetic correlates of social stratification in Great Britain. Nature Human Behaviour, 3, 1332–1342.
2.
AdjeridI.KelleyK. (2018). Big data in psychology: A framework for research advancement. American Psychologist, 73(7), 899–917.
3.
AhmedA.StopherP. (2014). Seventy minutes plus or minus 10—A review of travel time budget studies. Transport Reviews, 34(5), 607–625.
4.
AllikJ.McCraeR. (2004). Toward a geography of personality traits: Patterns of profiles across 36 cultures. Journal of Cross Cultural Psychology, 35(4), 13–28.
5.
AllikJ.RealoA.MõttusR.PullmannH.TrifonovaA.McCraeR. (2009). Personality traits of Russians from the observer’s perspective. European Journal of Personality, 23(7), 567–588.
6.
AmrheinC.FlowerdewR. (1992). The effect of data aggregation on a Poisson regression model of Canadian migration. Environment and Planning A: Economy and Space, 24(10), 1381–1391.
7.
AnselinL. (1988). Spatial econometrics: Methods and models. Kluwer Academic Publishers.
8.
AnselinL. (2005). Exploring spatial data with GeoDaTM: A workbook. Center for Spatially Integrated Social Science.
9.
AnselinL. (2011). Spatial regression. In FotheringhamA. S.RogersonP. A. (Eds.), The SAGE handbook of spatial analysis (pp. 255–275). SAGE.
10.
AnselinL.ReyS. (1991). Properties of tests for spatial dependence in linear regression models. Geographical Analysis, 23(2), 112–131.
11.
ArbiaG. (2014). A primer for spatial econometrics: With applications in R. Palgrave Macmillan.
12.
BachR. A.DefeverA. M.ChopikW. J.KonrathS. H. (2017). Geographic variation in empathy: A state-level analysis. Journal of Research in Personality, 68, 124–130.
13.
BalinskiM. (2008). Fair majority voting (or how to eliminate gerrymandering). The American Mathematical Monthly, 115(2), 97–113.
14.
BartholomaeF.PopescuA. (2007). The role of regional competition for demography and regional disparities in Germany. Romanian Journal of Regional Science, 1(1), 45–70.
15.
Bayerisches Landesamt für Statistik. (2011). Zensusdatenbank Zensus 2011 der Statistischen Ämter des Bundes und der Länder [Census database census 2011 of the statistical offices of the federal and state governments]. https://ergebnisse.zensus2011.de
BiniL. M.Diniz-FilhoJ. A. F.RangelT. F. L. V. B.AkreT. S. B.AlbaladejoR. G.AlbuquerqueF. S.AparicioA.AraújoM. B.BaselgaA.BeckJ.BellocqM. I.Böhning-GaeseK.BorgesP. A. V.Castro-PargaI.CheyV. K.ChownS. L.De MarcoP.Jr.DobkinD. S.Ferrer-CastánD.. . . HawkinsB. A. (2009). Coefficient shifts in geographical ecology: An empirical evaluation of spatial and non-spatial regression. Ecography, 32(2), 193–204.
20.
BivandR. S.PebesmaE. J.Gómez-RubioV. (2013). Applied spatial data analysis with R. Springer.
21.
BleidornW.SchönbrodtF.GebauerJ.RentfrowP.PotterJ.GoslingS. (2016). To live among like-minded others: Exploring the links between personality-city fit and self-esteem. Psychological Science, 27(3), 419–427.
22.
BlieseP. D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In KleinK. J.KozlowskiaS. W. (Eds.), Multilevel theory, research, and methods in organizations (pp. 349–381). Jossey-Bass.
23.
BrennerT. (2017). Identification of clusters – An actor-based approach (Working Papers on Innovation and Space, 02.17). Philipps-Universität Marburg.
24.
BueckerS.EbertT.GötzF. M.EntringerT. M.LuhmannM. (2021). In a lonely place: Investigating regional differences in loneliness. Social Psychological and Personality Science, 12(2), 147–155. https://doi.org/10.1177/1948550620912881
CheungG. W.RensvoldR. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255.
27.
ChopikW. J.MotylM. (2017). Is Virginia for lovers? Geographic variation in adult attachment orientation. Journal of Research in Personality, 66, 38–45. https://doi.org/10.1016/j.jrp.2016.12.004
28.
ClarkW. A.AveryK. L. (1976). The effects of data aggregation in statistical analysis. Geographical Analysis, 8(4), 428–438.
ConwayL. G.RyderA. G.TweedR. G.SokolB. W. (2001). Intranational cultural variation: Exploring further implications of collectivism within the United States. Journal of Cross-Cultural Psychology, 32(6), 681–697.
31.
De KnegtH. J.van LangeveldeF.CoughenourM. B.SkidmoreA. K.de BoerW. F.HeitkonigI. M. A.KnoxN. M.SlotowR.van der WaalC.PrinsH. H. T. (2010). Spatial autocorrelation and the scaling of species-environment relationships. Ecology, 91(8), 2455–2465.
32.
De VriesR.GoslingS.PotterJ. (2011). Income inequality and personality: Are less equal U.S. states less agreeable?Social Science & Medicine, 72(12), 1978–1985.
33.
DienerE.KahnemanD.HelliwellJ. (2010). International differences in well-being. Oxford University Press.
34.
DienerE.OishiS.LucasR. (2015). National accounts of subjective well-being. American Psychologist, 70(3), 234–242.
35.
EbertT.GötzF. M.GladstoneJ. J.MüllerS. R.MatzS. C. (2020). Spending reflects not only who we are but also who we are around: The joint effects of individual and geographic personality on consumption. Journal of Personality and Social Psychology. Advance online publication. https://doi.org/10.1037/pspp0000344
36.
EbertT.GötzF. M.ObschonkaM.ZmigrodL.RentfrowP. (2019). Regional variation in courage and entrepreneurship: The contrasting role of courage for the emergence and survival of start-ups in the United States. Journal of Personality, 87(5), 1039–1055.
37.
EckeyH.KosfeldR.TürckM. (2006). Abgrenzung deutscher Arbeitsmarktregionen [Delimitation of German labor market regions]. Raumforschung und Raumordnung, 64, 299–309.
38.
EichstaedtJ. C.SchwartzH. A.KernM. L.ParkG.LabartheD. R.MerchantR. M.JhaS.AgrawalM.DziurzynskiL. A.SapM.WeegC.LarsonE. E.UngarL. H.SeligmanM. E. P. (2015). Psychological language on Twitter predicts county-level heart disease mortality. Psychological Science, 26(2), 159–169.
39.
EllemanL. G.CondonD. M.RussinS. E.RevelleW. (2018). The personality of U.S. states: Stability from 1999 to 2015. Journal of Research in Personality, 72, 64–72.
FindleyM.BrownR. (2017). Fifty states of self-control: A U.S. statewide examination of the initiation and inhibition dimensions of self-regulation. The Journal of Social Psychology, 157(1), 1–14. https://doi.org/10.1080/00224545.2017.1297287
42.
FloridaR. (2002). The rise of the creative class. Basic Books.
43.
FloridaR. (2008). Who’s your city? How the creative economy is making where to live the most important decision of your life. Basic Books.
44.
FotheringhamA. S.WongD. W. (1991). The modifiable areal unit problem in multivariate statistical analysis. Environment and Planning A: Economy and Space, 23(7), 1025–1044.
45.
FritschM.StützerM. (2007). Die Geographie der Kreativen Klasse in Deutschland [The geography of the creative class in Germany]. Raumforschung und Raumordnung, 65(1), 15–29.
46.
GarretsenH.StokerJ. I.SoudisD.MartinR. L.RentfrowP. J. (2018). Brexit and the relevance of regional personality traits: More psychological Openness could have swung the regional vote. Cambridge. Journal of Regions, Economy and Society, 11(1), 165–175.
47.
GebauerJ.SedikidesC.SchönbrodtF.BleidornW.RentfrowP.PotterJ.GoslingS. (2017). The religiosity as social value hypothesis: A multi-method replication and extension across 65 countries and three levels of spatial aggregation. Journal of Personality and Social Psychology, 113(3), e18–e39.
48.
GebauerJ. E.SedikidesC.WagnerJ.BleidornW.RentfrowP. J.PotterJ.GoslingS. D. (2015). Cultural norm fulfillment, interpersonal belonging, or getting ahead? A large-scale cross-cultural test of three perspectives on the function of self-esteem. Journal of Personality and Social Psychology, 109(3), 526–548.
49.
GehlkeC. E.BiehlK. (1934). Certain effects of grouping upon the size of the correlation coefficient in census tract material. Journal of the American Statistical Association, 29(185), 169–170.
50.
GetisA.AldstadtJ. (2004). Constructing the spatial weights matrix using a local statistic. Geographical Analysis, 36(2), 90–104.
51.
GibbonsS.OvermanH. G. (2012). Mostly pointless spatial econometrics?Journal of Regional Science, 52(2), 172–191.
52.
GoslingS.VazireS.SrivastavaS.JohnO. (2004). Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires. American Psychologist, 59(2), 93–104.
53.
GötzF. M.EbertT.RentfrowP. J. (2018). Regional cultures and the psychological geography of Switzerland: Person–environment–fit in personality predicts subjective wellbeing. Frontiers in Psychology, 9, Article 00517. https://doi.org/10.3389/fpsyg.2018.00517
54.
GrahamJ.MeindlP.BeallE.JohnsonK. M.ZhangL. (2016). Cultural differences in moral judgment and behavior, across and within societies. Current Opinion in Psychology, 8, 125–130.
55.
GrilichesZ. (1990). Patent statistics as economic indicators: A survey. Journal of Economic Literature, 28, 1661–1707.
56.
HallP. A.SoskiceD. (2001). Varieties of capitalism: The institutional foundations of comparative advantage. Oxford University Press.
57.
HarringtonJ. R.GelfandM. J. (2014). Tightness-looseness across the 50 United States. Proceedings of the National Academy of Sciences, USA, 111(22), 7990–7995.
58.
HehmanE.Flak eJ. K.CalanchiniJ. (2018). Disproportionate use of lethal force in policing is associated with regional racial biases of residents. Social Psychological and Personality Science, 9(4), 393–401.
59.
HugginsR.ThompsonP. (2019). The behavioural foundations of urban and regional development: Culture, psychology and agency. Journal of Economic Geography, 19(1), 121–146.
60.
HuiC. (2009). A Bayesian solution to the modifiable areal unit problem. In HassanienA.AbrahamA.HerreraF. (Eds.), Foundations of computational intelligence (pp. 175–196). Springer.
61.
InglehartR.WelzelC. (2003). Political culture and democracy: Analyzing cross-level linkages. Comparative Politics, 36(1), 61–79.
JansenL.BrennerH. (2016). Place of residence and cancer survival in Germany—Regional disparities and possible causes. Public Health Forum, 24, 36–38.
65.
JebbA.TayL.WangW.HuangQ. (2015). Time series analysis for psychological research: Examining and forecasting change. Frontiers in Psychology, 6, Article 00727. https://doi.org/10.3389/fpsyg.2015.00727
66.
JohnO. P.DonahueE. M.KentleR. L. (1991). The Big Five Inventory—Versions 4a and 54. Institute of Personality and Social Research, University of California, Berkeley.
67.
JohnO. P.SrivastavaS. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In PervinL. A.JohnO. P. (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102–139). Guilford Press.
68.
JokelaM.BleidornW.LambM. E.GoslingS. D.RentfrowP. J. (2015). Geographically varying associations between personality and life satisfaction in the London metropolitan area. Proceedings of the National Academy of Sciences, USA, 112, 725–730.
69.
KirbyA.TaylorP. (1976). A geographical analysis of the voting pattern in the EEC referendum, 5 June 1975. Regional Studies, 10(2), 183–191.
70.
KitayamaS.BowmanN. A. (2010). Cultural consequences of voluntary settlement in the frontier: Evidence and implications. In SchallerM.NorenzayanA.HeineS. J.YamagishiT.KamedaT. (Eds.), Evolution, culture, and the human mind (pp. 205–227). Psychology Press.
71.
KitayamaS.IshiiK.ImadaT.TakemuraK.RamaswamyJ. (2006). Voluntary settlement and the spirit of independence: Evidence from Japan’s “northern frontier.”Journal of Personality and Social Psychology, 91(3), 369–384.
72.
KothC.BradshawC.LeafP. (2008). A multilevel study of predictors of student perceptions of school climate: The effect of classroom-level factors. Journal of Educational Psychology, 100(1), 96–104.
73.
KröhnertS.VollmerS. (2012). Gender-specific migration from Eastern to Western Germany: Where have all the young women gone?International Migration, 50(5), 95–112.
74.
KwanM. (2012). The uncertain geographic context problem. Annals of the Association of American Geographers, 102(5), 958–968.
75.
LeeN. (2017). Psychology and the geography of innovation. Economic Geography, 93(2), 106–130.
76.
LegendreP. (1993). Spatial autocorrelation: Trouble or new paradigm?Ecology, 74(6), 1659–1673.
77.
LiG.-C.LaiR.D’AmourA.DoolinD. M.SunY.TorvikV. I.YuA. Z.FlemingL. (2014). Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010). Research Policy, 43(6), 941–955.
78.
ManleyD. (2014). Scale, aggregation, and the modifiable areal unit problem. In FischerM. M.NijkampP. (Eds.), Handbook of regional science (pp. 1157–1171). Springer.
79.
MatzS. C.GladstoneJ. J. (2018). Nice guys finish last: When and why agreeableness is associated with economic hardship. Journal of Personality and Social Psychology, 118(3), 545–561.
80.
McCannS. J. H. (2010a). Subjective well-being, personality, demographic variables, and American state differences in smoking prevalence. Nicotine & Tobacco Research, 12(9), 895–904.
81.
McCannS. J. H. (2010b). Suicide, big five personality factors, and depression at the American state level. Archives of Suicide Research, 14(4), 368–374.
82.
McCannS. J. H. (2011). Emotional health and the Big Five personality factors at the American state level. Journal of Happiness Studies, 12(4), 547–560.
83.
McCraeR. R. (2001). Trait psychology and culture: Exploring intercultural comparisons. Journal of Personality, 69(6), 819–846.
84.
McCraeR. R.TerraccianoA. (2008). The five-factor model and its correlates in individuals and cultures. In VanF. J. R.Vijverdevan HelmertD. A.PoortingaY. H. (eds.), Multilevel analyses of individuals and cultures (pp. 249–283). Lawrence Erlbaum.
85.
McCraeR. R.TerraccianoA., & 78 Members of the Personality Profiles of Cultures Project. (2005a). Universal features of personality traits from the observer’s perspective: Data from 50 cultures. Journal of Personality and Social Psychology, 88(3), 547–561.
86.
McCraeR. R.TerraccianoA., & 79 Members of the Personality Profiles of Cultures Project. (2005b). Personality profiles of cultures: Aggregate personality traits. Journal of Personality and Social Psychology, 89(3), 407–425.
MIT Election Data and Science Lab. (2021). County presidential election returns 2000-2020 (Harvard Dataverse, V9). https://doi.org/10.7910/DVN/VOQCHQ
89.
MoranP. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1), 17–23.
90.
MotylM.IyerR.OishiS.TrawalterS.NosekB. A. (2014). How ideological migration geographically segregates groups. Journal of Experimental Social Psychology, 51, 1–14.
91.
MurdaniM. H.KwonJ.ChoiY. H.HongB. (2018). Efficient proximity computation techniques using zip code data for smart cities. Sensors, 18(4), Article 965. https://doi.org/10.3390/s18040965
92.
NiebuhrA.GranatoN.HaasA.HamannS. (2012). Does labour mobility reduce disparities between regional labour markets in Germany?Regional Studies, 46(7), 841–858.
ObschonkaM.LeeN.Rodríguez-PoseA.EichstaedtJ. C.EbertT. (2021). Big data methods, social media, and the psychology of entrepreneurial regions: Capturing cross-county personality traits and their impact on entrepreneurship in the USA. Small Business Economics, 55, 567–588. https://doi.org/10.1007/s11187-019-00204-2
95.
ObschonkaM.Schmitt-RodermundE.SilbereisenR.GoslingS.PotterJ. (2013). The regional distribution and correlates of an entrepreneurship-prone personality profile in the United States, Germany, and the United Kingdom: A socioecological perspective. Journal of Personality and Social Psychology, 105(1), 104–122.
96.
ObschonkaM.StuetzerM.AudretschD.RentfrowP.PotterJ.GoslingS. (2016). Macropsychological factors predict regional economic resilience during a major economic crisis. Social Psychological and Personality Science, 7(2), 95–104.
97.
ObschonkaM.StuetzerM.GoslingS.RentfrowP.LambM.PotterJ.AudretschD. (2015). Entrepreneurial regions: Do macro-psychological cultural characteristics of regions help solve the “knowledge paradox” of economics?PLOS ONE, 10(6), Article e0129332. https://doi.org/10.1371/journal.pone.0129332
98.
ObschonkaM.StuetzerM.RentfrowP. J.Shaw-TaylorL.SatchellM.SilbereisenR. K.PotterJ.GoslingS. D. (2018). In the shadow of coal: How large-scale industries contributed to present-day regional differences in personality and well-being. Journal of Personality and Social Psychology, 115(5), 903–927.
99.
ObschonkaM.WyrwichM.FritschM.GoslingS.RenftrowJ.PotterJ. (2019). Von unterkühlten Norddeutschen, gemütlichen Süddeutschen und kreativen Großstädtern: Regionale Persönlichkeitsunterschiede in Deutschland [Reserved Northerners, jovial Southerners, and open urbanites: Regional personality differences in Germany]. Psychologische Rundschau, 70, 173–194.
100.
Office of Management and Budget. (2010). Standards for delineating metropolitan and micropolitan statistical areas. Federal Register, 75, 37246–37252.
101.
OpenshawS.TaylorP. J. (1979). A million or so correlation coefficients, three experiments on the modifiable areal unit problem. In WrigleyN. (Ed.), Statistical applications in the spatial sciences (pp. 127–144). Pion.
OzerD. J.Benet-MartınezV. (2006). Personality and the prediction of consequential outcomes. Annual Review of Psychology, 57, 401–421.
104.
ParkN.PetersonC. (2010). Does it matter where we live?: The urban psychology of character strengths. American Psychologist, 65(6), 535–547.
105.
ParkN.PetersonC.SeligmanM. E. P. (2006). Character strengths in fifty-four nations and the fifty US states. The Journal of Positive Psychology, 1(3), 118–129. https://doi.org/10.1080/17439760600619567
PestaB.BertschS.McDanielM.MahoneyC.PoznanskiP. (2012). Differential epidemiology: IQ, neuroticism, and chronic disease by the 50 U.S. states. Intelligence, 40(2), 107–114.
108.
PestaB. J.McDanielM. A.BertschS. (2010). Toward an index of well-being for the fifty U.S. states. Intelligence, 38(1), 160–168.
109.
PhibbsC.LuftH. (1995). Correlation of travel time on roads versus straight line distance. Medical Care Research and Review, 52(4), 532–542.
110.
PicardR. (2010). GEODIST: Stata module to compute geographical distances. Statistical Software Components S457147. Department of Economics, Boston College.
111.
PisatiM. (2007). SPMAP: Stata module to visualize spatial data. Statistical Software Components S456812. Department of Economics, Boston College.
RammstedtB. (1997). Die deutsche Version des Big Five Inventory (BFI): Übersetzung und Validierung eines Fragebogens zur Erfassung des Fünf-Faktoren-Modells der Persönlichkeit [The German version of the Big Five Inventory (BFI): Translation and validation of a questionnaire for the assessment of the five-factor model of personality] [Unpublished diplom thesis, University of Bielefeld, Germany].
114.
RentfrowP. (2010). Statewide differences in personality: Toward a psychological geography of the United States. American Psychologist, 65(6), 548–558.
115.
RentfrowP.GoslingS.JokelaM.StillwellD.KosinskiM.PotterJ. (2013). Divided we stand: Three psychological regions of the United States and their political, economic, social, and health correlates. Journal of Personality and Social Psychology, 105(6), 996–1012.
116.
RentfrowP.GoslingS.PotterJ. (2008). A theory of the emergence, persistence, and expression of geographic variation in psychological characteristics. Perspectives on Psychological Science, 3(5), 339–369.
117.
RentfrowP.JokelaM. (2016). Geographical psychology. Current Directions in Psychological Science, 25(6), 393–398.
RentfrowP.JostJ. T.GoslingS.PotterJ. (2009). Statewide differences in personality predict voting patterns in 1996–2004 U.S. presidential elections. In JostJ.KayA. C.ThorisdottirH. (Eds.), Social and psychological bases of ideology and system justification (pp. 314–347). Oxford University Press.
120.
RentfrowP. J.MellanderC.FloridaR. (2009). Happy States of America: A state-level analysis of psychological, economic, and social well-being. Journal of Research in Personality, 43(6), 1073–1082.
121.
RobertsB. W.KuncelN. R.ShinerR.CaspiA.GoldbergL. R. (2007). The power of personality: The comparative predictive validity of personality traits, SES, and cognitive ability for important life outcomes. Perspectives on Psychological Science, 2(4), 313–345.
122.
RobertsB. W.WoodD.SmithJ. L. (2005). Evaluating Five Factor Theory and social investment perspectives on personality trait development. Journal of Research in Personality, 39(1), 166–184.
123.
RobinsonG. (1991). That BLUP is a good thing: The estimation of random effects. Statistical Science, 6(1), 15–32.
124.
RobinsonW. (1950). Ecological correlations and the behavior of individuals. American Sociological Review, 15(3), 337–341.
125.
RogersK. H.WoodD. (2010). Accuracy of United States regional personality stereotypes. Journal of Research in Personality, 44(6), 704–713.
126.
RosnowR.RosenthalR.RubinD. B. (2000). Contrasts and correlations in effect size estimation. Psychological Science, 11(6), 446–453.
RushtonJ.BrainerdC.PressleyM. (1983). Behavioral development and construct validity: The principle of aggregation. Psychological Bulletin, 94(1), 18–38.
SchaferA. (2000). Regularities in travel demand: An international perspective. Journal of Transportation and Statistics, 3(3), 1–31.
131.
SöndermannM. (2009). Leitfaden zur Erstellung einer statistischen Datengrundlage für die Kulturwirtschaft und eine länderübergreifende Auswertung kulturwirtschaftlicher Daten [Guideline for creating a statistical data basis for the cultural economy and an analysis of culture economical data across countries]. Büro für Kulturwirtschaftsforschung.
132.
StuetzerM.AudretschD.ObschonkaM.GoslingS.RentfrowP.PotterJ. (2017). Entrepreneurship culture, knowledge spillovers and the growth of regions. Regional Studies, 52(5), 608–618.
133.
TiefelsdorfM.BootsB. (1995). The exact distribution of Moran’s I. Environment and Planning A, 27(6), 985–999.
134.
ToblerW. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46, 234–240.
U.S. Census Bureau. (2012a). Marital status, 2008–2012 American Community Survey 5-year estimates (Table S1201) [Data set]. Author.
137.
U.S. Census Bureau. (2012b). Median age by sex, 2008–2012 American Community Survey 5-year estimates (Table B01002) [Data set]. Author.
138.
U.S. Census Bureau. (2012c). Median income in the past 12 months (in 2012 inflation-adjusted dollars), 2008–2012 American Community Survey 5-year estimates (Table S1903) [Data set]. Author.
139.
U.S. Census Bureau. (2012d). Occupation by class of worker for the civilian employed population 16 years and over, 2008–2012 American Community Survey 5-year estimates (Table S2406) [Data set]. Author.
140.
U.S. Census Bureau. (2012e). Sex by age, 2008–2012 American Community Survey 5-year estimates (Table B01001) [Data set]. Author.
141.
U.S. Department of Justice. (2014). Uniform crime reporting program data: County-level detailed arrest and offense data, United States, 2012. Inter-university Consortium for Political and Social Research. https://www.icpsr.umich.edu/icpsrweb/NACJD/studies/35019/export
142.
VoracekM. (2009). Big Five personality factors and suicide rates in the United States: A state-level analysis. Perceptual and Motor Skills, 109(1), 208–212.
143.
WarfB.WinsbergM. (2008). The geography of religious diversity in the United States. The Professional Geographer, 60(3), 413–424.
144.
WeberS.PéclatM. (2016). GEOROUTE: Stata module to calculate travel distance and travel time between two addresses or two geographical points. Statistical Software Components S458264. Department of Economics, Boston College.
145.
WebsterG. D.DuffyR. D. (2016). Losing faith in the intelligence–religiosity link: New evidence for a decline effect, spatial dependence, and mediation by education and life quality. Intelligence, 55, 15–27.
146.
WeiW.LuJ. G.GalinskyA. D.WuH.GoslingS. D.RentfrowP. J.YuanW.ZhangQ.GuoY.ZhangM.GuiW.GuoX.-Y.PotterJ.WangJ.LiB.LiX.HanY.-M.LvM.GuoX.-Q.. . . WangL. (2017). Regional ambient temperature is associated with human personality. Nature Human Behaviour, 1, 890–895.
147.
WiechmannT. (2000). Die Region ist tot—es lebe die Region! [The region is dead—long live the region!]. Raumforschung und Raumordnung, 58, 173–184.
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