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Genesis or Evolution of Gender Differences? Worldview-Based Dilemmas in The Processing of Scientific Information Cover

Genesis or Evolution of Gender Differences? Worldview-Based Dilemmas in The Processing of Scientific Information

Open Access
|Apr 2020

Figures & Tables

joc-3-1-99-g1.png
Figure 1

Overview of the dilemmas facing liberals (left panel) and conservatives (right panel) in the context of gender differences and evolution. Core beliefs are shown in white (liberals) and black (conservatives) to reflect their opposing polarity. Because core beliefs are thought to be inviolable they are connected by chains. Potential explanatory variables for gender differences are shown in gray. Arrows represent presumed conflict between constructs, support, or neutrality.

Table 1

Items with 7-point response scale used in the survey and their short names.

Item nameItem (R = reverse scored)
1. Free market
FMUnresBestAn economic system based on free markets unrestrained by government interference automatically works best to meet human needs.
FMLimitSocialThe free market system may be efficient for resource allocation but it is limited in its capacity to promote social justice. (R)
FMMoreImpThe preservation of the free market system is more important than localized environmental concerns.
FMThreatEnvFree and unregulated markets pose important threats to sustainable development. (R)
FMUnsustainThe free market system is likely to promote unsustainable consumption. (R)
2. Religiosity
RelComfDo you agree with the following statement? “Religion gives me a great amount of comfort and security in my life.”
RelGodI believe in God.
RelAfterlifeI believe in some kind of afterlife.
RelNatWorldI do not think religion can or should make claims about the natural world. (R)
RelReligI do not consider myself a religious person. (R)
3. Evolution
EvoAnimalsI believe that animals have changed over time by a process of evolution.
EvoSupportedI accept evolution by natural selection as a well-supported scientific theory.
EvoSpeciesI believe that all species, including humans, have a common evolutionary origin.
EvoCreatedI believe that species were created individually and do not change over time. (R)
EvoCrisisI believe that the theory of evolution by natural selection is in crisis and about to be overturned. (R)
4. Vaccinations
VaxSafeI believe that vaccines are a safe and reliable way to help avert the spread of preventable diseases.
VaxNegSideI believe that vaccines have negative side effects that outweigh the benefits of vaccination for children. (R)
VaxTestedVaccines are thoroughly tested in the laboratory and wouldn’t be made available to the public unless it was known that they are safe.
VaxRiskyThe risk of vaccinations to maim and kill children outweighs their health benefits. (R)
VaxContribVaccinations are one of the most significant contributions to public health.
5. Rejection of Complementary and alternative medicine (CAM)
CAMDangerComplementary medicine can be dangerous in that it may prevent people getting proper treatment.
CAMCureComplementary medicine builds up the body’s own defenses, so leading to a permanent cure. (R)
CAMIneffectHomeopathy has been shown again and again to be ineffective as a cure for anything.
CAMSavesComplementary medicine has often saved the lives of patients who were already given up by conventional doctors. (R)
CAMSuperiorComplementary medicine is superior to conventional medicine in treating chronic ailments such as allergies, headaches, and back pains. (R)
6. Men and women evolved differently
MWEvoDiffMen and women evolved to be different and these biological differences cannot be overcome by education.
MWEvoViolEvolutionary history has predisposed men more strongly than women towards violence.
MWEvoNurtureEvolutionary history has predisposed women more strongly than men towards being helpful and nurturing.
MWEvoTraitsAll human traits are the product of evolution and therefore resist change.
MWEvoDiff2Thousands of years of evolution explain why differences between men and women are very difficult to overcome.
7. Men and women are naturally different
MWNatStrongMen are naturally stronger than women and those differences cannot be overcome by education.
MWNatAggressIt is the in the nature of men to be physically aggressive more often than women.
MWNatCaringWomen are naturally more caring and socially supportive than men.
MWNatTraitsAll human traits are part of our natural makeup and therefore very difficult to change.
MWNatDiffMen and women are naturally different from each other and those differences are bound to stay, even if we try hard to overcome them.
8. Men and women are the same
MWEquMen and women are equally capable and powerful in all respects.
MWEquDiffAll differences between men and women are created by society and can be eliminated if we change society.
MWEquCultureWithout the pressures of culture and society women would be as much in control as men.
MWEquNoBioThere are no biological or physical reasons that prevent a girl today to achieve as much as a boy.
MWEquInventThe categories “male” and “female” are primarily cultural inventions that have little basis in human nature.
joc-3-1-99-g2.png
Figure 2

Frequency distributions of responses for the 14 items of the socio-political conservatism scale. Each histogram shows the distribution across subjects of the slider response which ranged from 0 (strong negativity) to 100 (high positivity).

Table 2

Number of responses (percentages) for each response option for all survey items using a 7-point scale.

Item nameStrongly disagreedDisagreeSomewhat disagreedNeither agree nor disagreeSomewhat agreeAgreeStrongly agree
1. Free market
FMUnresBest62(6)68(7)107(11)330(32)212(21)132(13)106(10)
FMLimitSocial20(2)40(4)78(8)376(37)237(23)164(16)102(10)
FMMoreImp94(9)99(10)152(15)346(34)147(14)111(11)68(7)
FMThreatEnv50(5)66(6)117(12)327(32)212(21)141(14)104(10)
FMUnsustain49(5)78(8)114(11)379(37)179(18)134(13)84(8)
2. Religiosity
RelComf159(16)71(7)56(6)162(16)176(17)164(16)229(23)
RelGod87(9)30(3)29(3)111(11)84(8)150(15)526(52)
RelAfterlife59(6)34(3)28(3)146(14)122(12)231(23)397(39)
RelNatWorld129(13)98(10)90(9)359(35)110(11)88(9)143(14)
RelRelig228(22)161(16)112(11)115(11)108(11)129(13)164(16)
3. Evolution
EvoAnimals56(6)29(3)45(4)137(13)214(21)280(28)256(25)
EvoSupported90(9)46(5)55(5)240(24)210(21)193(19)183(18)
EvoSpecies80(8)43(4)54(5)206(20)205(20)240(24)189(19)
EvoCreated168(17)168(17)185(18)182(18)110(11)116(11)88(9)
EvoCrisis104(10)94(9)123(12)382(38)152(15)97(10)65(6)
4. Vaccinations
VaxSafe41(4)16(2)44(4)111(11)157(15)252(25)396(39)
VaxNegSide286(28)176(17)120(12)187(18)115(11)59(6)74(7)
VaxTested44(4)31(3)77(8)183(18)217(21)268(26)197(19)
VaxRisky262(26)171(17)116(11)265(26)72(7)63(6)68(7)
VaxContrib27(3)10(1)40(4)158(16)195(19)285(28)302(30)
5. Complementary and alternative medicine (CAM)
CAMDanger33(3)41(4)101(10)332(33)249(24)166(16)95(9)
CAMCure46(5)61(6)129(13)434(43)188(18)94(9)65(6)
CAMIneffect90(9)109(11)159(16)381(37)136(13)77(8)65(6)
CAMSaves18(2)17(2)41(4)381(37)264(26)183(18)113(11)
CAMSuperior46(5)64(6)103(10)443(44)177(17)111(11)73(7)
6. Men and women evolved differently
MWEvoDiff104(10)103(10)144(14)208(20)176(17)159(16)123(12)
MWEvoViol62(6)57(6)83(8)262(26)256(25)200(20)97(10)
MWEvoNurture52(5)39(4)64(6)231(23)253(25)240(24)138(14)
MWEvoTraits104(10)134(13)180(18)271(27)163(16)104(10)61(6)
MWEvoDiff286(8)77(8)97(10)282(28)243(24)141(14)91(9)
7. Men and women naturally differ
MWNatStrong100(10)79(8)126(12)192(19)205(20)178(18)137(13)
MWNatAggress48(5)54(5)85(8)188(18)279(27)218(21)145(14)
MWNatCaring28(3)39(4)67(7)200(20)288(28)221(22)174(17)
MWNatTraits50(5)80(8)144(14)221(22)254(25)170(17)98(10)
MWNatDiff41(4)47(5)75(7)171(17)270(27)223(22)190(19)
8. Men and women are equal
MWEqu40(4)35(3)100(10)115(11)180(18)243(24)304(30)
MWEquDiff108(11)111(11)161(16)199(20)188(18)129(13)121(12)
MWEquCulture32(3)40(4)74(7)211(21)228(22)214(21)218(21)
MWEquNoBio32(3)36(4)75(7)123(12)151(15)258(25)342(34)
MWEquInvent206(20)170(17)161(16)229(23)116(11)82(8)53(5)
joc-3-1-99-g3.png
Figure 3

Frequency distributions of the composite scores for all constructs excluding socio-political conservatism, formed by averaging responses across items within each construct after reverse scoring. Each histogram shows the distribution across subjects of the composite score. Table 1 provides an overview of the items for each construct. All items were accompanied by a 7-point response scale ranging from “Strongly agree” (coded as 7 for analysis) to “Strongly disagree” (1) with “Neither agree nor disagree” (4) at the midpoint.

Table 3

Model fit indices associated with the measurement models for all uni-dimensional constructs.

Constructχ2dfSRMRCFIRMSEA90% CICorrelated residuals
Free market10.2440.0190.9940.0390.009–0.07FMUnresBestFMMoreImp
Religiosity41.9340.0260.9840.0970.071–0.124RelGodRelAfterlife
Evolution70.2640.0440.9520.1280.102–0.155EvoCreatedEvoCrisis
Vaccinations14.2140.0170.9950.050.024–0.079VaxNegSideVaxRisky
Rejection of CAM6.5340.0170.9960.0250–0.058CAMDangerCAMIneffect
Men & women evolved differently3.4640.012100–0.044MWEvoViolMWEvoNurture
Men & women naturally different9.3140.0180.9930.0360–0.067MWNatAggressMWNatCaring
Men & women are the same24.5840.0280.9720.0710.046–0.099MWEquDiffMWEquInvent
Socio-political conservatism281.49330.0450.9390.0860.077–0.095TradMarriageTradValues
MilitaryPatriotism
CRT14.3920.0720.9820.0780.044–0.118N/A
Table 4

Summary statistics of single-indicator latent variable models.

Constructsaωb(1-ω) × s2c
Free market0.990.580.413
Religiosity1.570.850.364
Evolution1.170.690.423
Vaccinations1.280.760.389
Rejection of CAM0.760.40.344
Men & women evolved differently0.940.560.394
Men & women naturally different1.010.610.394
Men & women are the same1.040.630.4
Socio-political conservatism1.20.870.19

[i] a Standard deviation of composite score.

bω corresponds to the loading of a single-indicator manifest variable on its factor.

c Error variance of each single-indicator latent variable.

Table 5

Correlations among latent variables.

Free marketEvolutionRejection of CAMMen/women evolved differentlyMen/women naturally differentMen/women are the sameReligiosityVaccinationsSocio-political conservatism
Evolution–0.389
Rejection of CAM–0.1820.185
Men/women evolved differently0.1790.3270.048ns
Men/women naturally different0.426–0.307–0.020ns0.822
Men/women are the same–0.2710.331–0.009ns–0.350–0.669
Religiosity0.288–0.598–0.199–0.1100.256–0.246
Vaccinations–0.2430.3520.409–0.043ns–0.1520.192–0.062ns
Socio-pol conservatism0.484–0.315–0.1990.069ns0.400–0.3510.563–0.008ns
CRT–0.2060.2690.183–0.010ns–0.035ns–0.130–0.2010.197–0.009ns

[i] Note: Correlations identified with “ns” are non-significant, p > .10. All others are significant at p < .01 or less.

Table 6

Correlations among composite measures for all constructs.

Free marketEvolutionRejection of CAMMen/women evolved differentlyMen/women naturally differentMen/women are the sameReligiosityVaccinationsSocio-political conservatism
Evolution–0.251
Rejection of CAM–0.0820.086
Men/women evolved differently0.1040.2080.022ns
Men/women naturally different0.249–0.185–0.006ns0.496
Men/women are the same–0.1660.207–0.006ns–0.209–0.407
Religiosity0.198–0.454–0.119–0.0870.167–0.170
Vaccinations–0.1590.2550.220–0.033ns–0.1080.122–0.050ns
Socio-pol conservatism0.418–0.319–0.1010.0910.350–0.3380.520–0.053ns
CRT–0.1160.1670.0840.006ns–0.008ns–0.077–0.1440.136–0.011ns

[i] Note: Correlations identified with “ns” are non-significant, p > .10. All others are significant at p < .01 or less.

joc-3-1-99-g4.png
Figure 4

Structural equation model to predict scientific attitudes. Panel a shows the model with the three worldview constructs as predictors. Panel b shows the same model after inclusion of a factor representing CRT performance. All links and correlations shown are standardized and significant; all p ≤ .05. Dashed lines indicate correlations between latent variables. Indicator variables and their loadings, and disturbances on endogenous factors are not shown. Links between latent variables that are not shown are constrained to zero. Loadings and variances of single-indicator latent variables are reported in Tables 3 and 4.

joc-3-1-99-g5.png
Figure 5

Structural equation model to predict gender attitudes from worldviews. All links and correlations shown are standardized and significant; all p ≤ .05. Dashed lines indicate correlations between latent variables. Indicator variables and their loadings, and disturbances on endogenous factors are not shown. Links between latent variables that are not shown are constrained to zero. Loadings and variances of single-indicator latent variables are reported in Tables 3 and 4.

joc-3-1-99-g6.png
Figure 6

Relationship between the three gender-related constructs and acceptance of evolution. Liberals are shown on the left and conservatives on the right (median split of socio-political conservatism construct). The top panels show acceptance of evolution (represented by color of plotting symbols) and people’s responses to the constructs probing the origin of gender differences. The bottom panels show belief in gender equality (represented by color of plotting symbols) and people’s responses to the two constructs probing evolution generally (ordinate) and that men and women evolved differently (abscissa). Composite scores are used for all constructs. Dashed horizontal and vertical lines represent marginal means. Points are randomly jittered to reduce over-printing.

DOI: https://doi.org/10.5334/joc.99 | Journal eISSN: 2514-4820
Language: English
Submitted on: Sep 1, 2019
|
Accepted on: Mar 24, 2020
|
Published on: Apr 30, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Stephan Lewandowsky, Jan K. Woike, Klaus Oberauer, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.