Higher interest in accounting in the control condition
summary(lm(DV ~ cond + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3525 -1.3066 0.1927 1.6870 5.0586
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.86212 0.59478 9.856 <2e-16 ***
## condcontrol 0.65405 0.29712 2.201 0.0288 *
## major -0.30651 0.03293 -9.309 <2e-16 ***
## declared 1.10337 0.51758 2.132 0.0342 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.166 on 214 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3008, Adjusted R-squared: 0.291
## F-statistic: 30.69 on 3 and 214 DF, p-value: < 2.2e-16Moderators
lab$avoid<-(lab$avoid + lab$avoid.1)/2
summary(lm(DV ~ cond*avoid + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * avoid + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.6572 -1.3810 0.2213 1.5563 4.7138
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.702595 1.528918 2.422 0.0163 *
## condcontrol 0.625602 2.040733 0.307 0.7595
## avoid 0.370227 0.236701 1.564 0.1193
## major -0.303770 0.032754 -9.274 <2e-16 ***
## declared 1.074137 0.515966 2.082 0.0386 *
## condcontrol:avoid -0.008931 0.337751 -0.026 0.9789
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.153 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.316, Adjusted R-squared: 0.2999
## F-statistic: 19.59 on 5 and 212 DF, p-value: 5.027e-16summary(lm(DV ~ cond*approach + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * approach + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3796 -1.2943 0.1948 1.6842 5.4440
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.08588 1.25520 4.849 2.4e-06 ***
## condcontrol 2.98796 1.79615 1.664 0.0977 .
## approach -0.04493 0.18957 -0.237 0.8129
## major -0.31447 0.03306 -9.512 < 2e-16 ***
## declared 1.19222 0.51799 2.302 0.0223 *
## condcontrol:approach -0.37456 0.29019 -1.291 0.1982
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.158 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3127, Adjusted R-squared: 0.2965
## F-statistic: 19.29 on 5 and 212 DF, p-value: 8.25e-16summary(lm(DV ~ cond*money + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * money + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.4972 -1.3146 0.2009 1.6511 4.8548
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.20212 1.14965 5.395 1.83e-07 ***
## condcontrol -0.52061 1.31852 -0.395 0.6934
## money -0.06555 0.17159 -0.382 0.7028
## major -0.30187 0.03354 -9.000 < 2e-16 ***
## declared 1.11116 0.51896 2.141 0.0334 *
## condcontrol:money 0.20483 0.22370 0.916 0.3609
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.171 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3043, Adjusted R-squared: 0.2879
## F-statistic: 18.55 on 5 and 212 DF, p-value: 2.864e-15summary(lm(DV ~ cond*time + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * time + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.4015 -1.3213 0.1904 1.6744 4.6235
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.63349 0.97604 5.772 2.76e-08 ***
## condcontrol -0.38020 1.07889 -0.352 0.7249
## time 0.04297 0.14602 0.294 0.7688
## major -0.30121 0.03297 -9.136 < 2e-16 ***
## declared 1.06969 0.51639 2.071 0.0395 *
## condcontrol:time 0.19533 0.19377 1.008 0.3146
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.158 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3123, Adjusted R-squared: 0.296
## F-statistic: 19.25 on 5 and 212 DF, p-value: 8.789e-16summary(lm(DV ~ cond*political + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * political + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.633 -1.365 0.160 1.671 4.332
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.37323 0.84370 6.369 1.16e-09 ***
## condcontrol -0.01952 0.94542 -0.021 0.9836
## political 0.09703 0.15180 0.639 0.5234
## major -0.30423 0.03301 -9.216 < 2e-16 ***
## declared 1.18863 0.52089 2.282 0.0235 *
## condcontrol:political 0.15668 0.21999 0.712 0.4771
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.161 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3105, Adjusted R-squared: 0.2942
## F-statistic: 19.09 on 5 and 212 DF, p-value: 1.149e-15Mediators
summary(lm(decrease_chances ~ cond + major + declared, lab))##
## Call:
## lm(formula = decrease_chances ~ cond + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8714 -0.7795 0.2232 1.1987 2.3043
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.854202 0.422316 11.494 <2e-16 ***
## condcontrol 0.076538 0.210969 0.363 0.717
## major 0.007275 0.023380 0.311 0.756
## declared -0.161177 0.367501 -0.439 0.661
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.538 on 214 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.001672, Adjusted R-squared: -0.01232
## F-statistic: 0.1195 on 3 and 214 DF, p-value: 0.9486summary(lm(threaten ~ cond + major + declared, lab))##
## Call:
## lm(formula = threaten ~ cond + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8390 -1.3943 0.3519 1.3734 2.6057
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.11520 0.43931 9.367 <2e-16 ***
## condcontrol 0.03567 0.21946 0.163 0.871
## major 0.03146 0.02432 1.294 0.197
## declared 0.24767 0.38229 0.648 0.518
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.6 on 214 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.01134, Adjusted R-squared: -0.002518
## F-statistic: 0.8183 on 3 and 214 DF, p-value: 0.485summary(lm(more_interesting ~ cond + major + declared, lab))##
## Call:
## lm(formula = more_interesting ~ cond + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7307 -0.8372 0.2813 1.2968 2.6827
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.34186 0.44504 9.756 <2e-16 ***
## condcontrol -0.01848 0.22232 -0.083 0.934
## major -0.03649 0.02464 -1.481 0.140
## declared 0.41335 0.38728 1.067 0.287
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.621 on 214 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.01364, Adjusted R-squared: -0.0001919
## F-statistic: 0.9861 on 3 and 214 DF, p-value: 0.4002summary(lm(more_objective ~ cond + major + declared, lab))##
## Call:
## lm(formula = more_objective ~ cond + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.002 -0.945 0.055 1.055 2.171
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.73292 0.36944 12.811 <2e-16 ***
## condcontrol -0.11629 0.18501 -0.629 0.530
## major 0.00476 0.02056 0.231 0.817
## declared 0.20728 0.32150 0.645 0.520
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.345 on 213 degrees of freedom
## (4 observations deleted due to missingness)
## Multiple R-squared: 0.003781, Adjusted R-squared: -0.01025
## F-statistic: 0.2695 on 3 and 213 DF, p-value: 0.8473summary(lm(computation_skill ~ cond + major + declared, lab))##
## Call:
## lm(formula = computation_skill ~ cond + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.0806 -0.9376 0.0369 1.0567 2.1547
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.06201 0.39777 12.726 <2e-16 ***
## condcontrol 0.01990 0.19871 0.100 0.920
## major -0.01958 0.02202 -0.889 0.375
## declared 0.01829 0.34614 0.053 0.958
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.449 on 214 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.003729, Adjusted R-squared: -0.01024
## F-statistic: 0.267 on 3 and 214 DF, p-value: 0.8492summary(lm(save_time ~ cond + major+ declared, lab))##
## Call:
## lm(formula = save_time ~ cond + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8941 -1.0132 0.1519 1.1978 2.6116
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.44985 0.44885 9.914 <2e-16 ***
## condcontrol 0.20478 0.22423 0.913 0.3621
## major -0.04598 0.02485 -1.850 0.0657 .
## declared 0.49023 0.39059 1.255 0.2108
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.635 on 214 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.02502, Adjusted R-squared: 0.01135
## F-statistic: 1.831 on 3 and 214 DF, p-value: 0.1425summary(lm(focus_interesting ~ cond + major + declared, lab))##
## Call:
## lm(formula = focus_interesting ~ cond + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8831 -0.8182 0.1731 1.1387 2.2647
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.751021 0.361405 13.146 <2e-16 ***
## condcontrol -0.040112 0.180541 -0.222 0.824
## major -0.008321 0.020008 -0.416 0.678
## declared 0.124270 0.314496 0.395 0.693
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.316 on 214 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.001515, Adjusted R-squared: -0.01248
## F-statistic: 0.1082 on 3 and 214 DF, p-value: 0.9552Mediators as moderators
summary(lm(DV ~ cond*decrease_chances + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * decrease_chances + major + declared,
## data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.4165 -1.3347 0.2085 1.6708 5.1845
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.98252 0.86959 6.880 6.64e-11 ***
## condcontrol -0.22302 0.97373 -0.229 0.8191
## decrease_chances -0.03730 0.13977 -0.267 0.7898
## major -0.30706 0.03299 -9.307 < 2e-16 ***
## declared 1.15996 0.52115 2.226 0.0271 *
## condcontrol:decrease_chances 0.18250 0.19389 0.941 0.3476
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.17 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3049, Adjusted R-squared: 0.2885
## F-statistic: 18.6 on 5 and 212 DF, p-value: 2.635e-15summary(lm(DV ~ cond*threaten + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * threaten + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.4743 -1.2446 0.2208 1.7191 5.0822
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.19771 0.82541 7.509 1.64e-12 ***
## condcontrol 0.09938 0.90892 0.109 0.9130
## threaten -0.08089 0.13777 -0.587 0.5577
## major -0.30561 0.03318 -9.210 < 2e-16 ***
## declared 1.13050 0.52124 2.169 0.0312 *
## condcontrol:threaten 0.12028 0.18601 0.647 0.5186
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.174 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3022, Adjusted R-squared: 0.2858
## F-statistic: 18.37 on 5 and 212 DF, p-value: 3.88e-15summary(lm(DV ~ cond*more_interesting + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * more_interesting + major + declared,
## data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3881 -1.2801 0.1108 1.6341 4.9574
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.40402 0.90963 5.941 1.15e-08 ***
## condcontrol 0.48126 0.88771 0.542 0.5883
## more_interesting 0.11193 0.13464 0.831 0.4067
## major -0.30212 0.03315 -9.113 < 2e-16 ***
## declared 1.02868 0.52736 1.951 0.0524 .
## condcontrol:more_interesting 0.03888 0.18561 0.209 0.8343
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.165 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3078, Adjusted R-squared: 0.2915
## F-statistic: 18.86 on 5 and 212 DF, p-value: 1.704e-15summary(lm(DV ~ cond*more_objective + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * more_objective + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.4500 -1.2842 0.1421 1.6690 5.4449
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.60445 1.00084 5.600 6.64e-08 ***
## condcontrol 0.42768 1.13635 0.376 0.7070
## more_objective 0.05828 0.16240 0.359 0.7200
## major -0.30445 0.03331 -9.140 < 2e-16 ***
## declared 1.07297 0.52132 2.058 0.0408 *
## condcontrol:more_objective 0.04513 0.22242 0.203 0.8394
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.176 on 211 degrees of freedom
## (4 observations deleted due to missingness)
## Multiple R-squared: 0.2969, Adjusted R-squared: 0.2802
## F-statistic: 17.82 on 5 and 211 DF, p-value: 1.011e-14summary(lm(DV ~ cond*computation_skill + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * computation_skill + major + declared,
## data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3529 -1.2944 0.1926 1.6918 5.0383
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.69534 0.96673 5.891 1.49e-08 ***
## condcontrol 0.84419 1.06582 0.792 0.4292
## computation_skill 0.03355 0.15253 0.220 0.8261
## major -0.30628 0.03314 -9.242 < 2e-16 ***
## declared 1.10233 0.51997 2.120 0.0352 *
## condcontrol:computation_skill -0.03832 0.20594 -0.186 0.8526
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.176 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3009, Adjusted R-squared: 0.2845
## F-statistic: 18.25 on 5 and 212 DF, p-value: 4.696e-15summary(lm(DV ~ cond*save_time + major+ declared, lab))##
## Call:
## lm(formula = DV ~ cond * save_time + major + declared, data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3731 -1.2936 0.2626 1.6306 4.7168
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.255871 0.904870 5.808 2.29e-08 ***
## condcontrol 0.597921 0.919468 0.650 0.516
## save_time 0.136746 0.140709 0.972 0.332
## major -0.300162 0.033284 -9.018 < 2e-16 ***
## declared 1.033802 0.519720 1.989 0.048 *
## condcontrol:save_time 0.005767 0.182926 0.032 0.975
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.164 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.3086, Adjusted R-squared: 0.2923
## F-statistic: 18.93 on 5 and 212 DF, p-value: 1.515e-15summary(lm(DV ~ cond*focus_interesting + major + declared, lab))##
## Call:
## lm(formula = DV ~ cond * focus_interesting + major + declared,
## data = lab)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3667 -1.3450 0.1936 1.6748 4.8759
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.35928 0.97215 5.513 1.02e-07 ***
## condcontrol 0.78115 1.12749 0.693 0.4892
## focus_interesting 0.10539 0.15877 0.664 0.5075
## major -0.30550 0.03311 -9.227 < 2e-16 ***
## declared 1.09150 0.51937 2.102 0.0368 *
## condcontrol:focus_interesting -0.02565 0.22602 -0.113 0.9098
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.173 on 212 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.303, Adjusted R-squared: 0.2866
## F-statistic: 18.44 on 5 and 212 DF, p-value: 3.449e-15