Table 2

Measurement Invariance Across Gender, Educational Level, and Race/Ethnicity (N = 681)

Modelχ2dfχ2/dfCFIRMSEA90% CISRMR
 Gender
Males, n = 153107.75741.46.967.055[.030, .076].046
Females, n = 520168.15742.27.972.049[.040, .059].036
Configural invariance279.391481.89.971.051[.042, .061].038
Metric invariance298.171591.88.969.051[.042, .060].057
Scalar invariance314.881701.85.968.050[.042, .059].059
 Race/Ethnicity
Hispanic/Latino, n = 276121.75741.65.974.048[.032, .063].039
White, n = 19297.59741.32.981.041[.012, .061].049
Other, n =199114.35741.55.971.052[.032, .071].050
Configural invariance333.552221.50.975.048[.037, .058].046
Metric invariance363.452441.49.973.047[.037, .057].070
Scalar invariance397.772661.50.971.047[.037, .057].073
 Academic Year
Freshman, n = 115131.99741.78.940.083[.059, .105].052
Sophomore, n = 107119.12741.61.942.075[.049, .100].059
Junior, n = 175107.34741.45.973.051[.027, .071].047
Senior, n = 17189.86741.21.985.035[0, .059].041
Graduates, n = 102116.38741.57.951.075[.047, .100].059
Configural invariance563.033701.52.961.062[.052, .073].050
Metric invariance596.254141.44.963.057[.047, .067].077
Scalar invariance643.994581.41.962.055[.045, .065].080
Notes: Configural = invariance of factor patterns; metric = invariance of factor loadings; scalar = invariance of item intercepts.

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