Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union === TABLE 1: Available N per variable (verified cases) === Verified cases: 1678 Intermission time: 1319 Death unexpectedness: 1307 Naturalness of death: 1526 Age at death: 1317 Verification precision: 1678 Memory contamination: 895 Family association: 1520 Social status difference: 751 Reincarnation belief: 1316 === Descriptive statistics === Unnatural deaths: 57% (n = 868) Natural deaths: 43% (n = 658) Completely unexpected (rating 4): 68% Naturalness x Unexpectedness (chi-square): Pearson's Chi-squared test data: table(dat$NATURAL_DEATH, dat$death_unexp) X-squared = 509.07, df = 4, p-value < 2.2e-16 Naturalness x Age at death (Wilcoxon): Wilcoxon rank sum test with continuity correction data: agedhp by NATURAL_DEATH W = 131371, p-value < 2.2e-16 alternative hypothesis: true location shift is not equal to 0 Median age: unnatural = 25 years, natural = 40 years Unexpectedness x Age at death (Pearson): r(1079) = -0.239, 95% CI [-0.294, -0.182], t = -8.08, p = 1.77e-15, N = 1081 IT skewness = 6.82 D'Agostino skewness test data: x skew = 6.8164, z = 34.5044, p-value < 2.2e-16 alternative hypothesis: data have a skewness Median IT: 16 months (IQR: 8-48) Maximum IT: 150 years === TABLE 2: Correlations with log(IT) === Unexpectedness x log(IT): r(1073) = -0.126, 95% CI [-0.184, -0.066], t = -4.15, p = 3.64e-05, N = 1075 Naturalness x log(IT): r(1233) = 0.132, 95% CI [0.077, 0.186], t = 4.67, p = 3.38e-06, N = 1235 Age at death x log(IT): r(1155) = 0.042, 95% CI [-0.016, 0.099], t = 1.42, p = 0.157, N = 1157 Spearman sensitivity check: Unexpectedness: Spearman r = -0.133, p = 1.16e-05, N = 1075 Naturalness: Spearman r = 0.134, p = 2.21e-06, N = 1235 Age at death: Spearman r = 0.030, p = 0.307, N = 1157 Multiple regression (unexpectedness + naturalness): Call: lm(formula = intermp_log ~ death_unexp + NATURAL_DEATH, data = dat) Residuals: Min 1Q Median 3Q Max -0.8946 -0.3106 -0.1065 0.3329 1.9151 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.43292 0.05519 25.965 <2e-16 *** death_unexp -0.03059 0.01380 -2.216 0.0269 * NATURAL_DEATH 0.06375 0.04039 1.578 0.1148 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.4952 on 1050 degrees of freedom (625 observations deleted due to missingness) Multiple R-squared: 0.01772, Adjusted R-squared: 0.01585 F-statistic: 9.472 on 2 and 1050 DF, p-value: 8.378e-05 Median IT by unexpectedness rating: # A tibble: 5 x 3 death_unexp median_IT n 1 0 21 114 2 1 20 69 3 2 17 108 4 3 17 76 5 4 12 708 Some anticipation (0-3): 18 months; completely unexpected (4): 12 months (33% shorter) Natural deaths: 19 months; unnatural deaths: 12 months (37% shorter) === Moderator 1: Verification precision === Stringently verified cases: r(741) = -0.150, 95% CI [-0.220, -0.079], t = -4.14, p = 3.86e-05, N = 743 Non-stringently verified cases: r(330) = -0.067, 95% CI [-0.174, 0.041], t = -1.23, p = 0.221, N = 332 Interaction model: Call: lm(formula = intermp_log ~ death_unexp * stringent_verif, data = dat) Residuals: Min 1Q Median 3Q Max -1.41120 -0.31965 -0.07088 0.32610 1.82054 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.50918 0.06422 23.499 <2e-16 *** death_unexp -0.02449 0.01908 -1.284 0.200 stringent_verifTRUE -0.02272 0.07830 -0.290 0.772 death_unexp:stringent_verifTRUE -0.02837 0.02312 -1.227 0.220 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.494 on 1071 degrees of freedom (603 observations deleted due to missingness) Multiple R-squared: 0.02748, Adjusted R-squared: 0.02475 F-statistic: 10.09 on 3 and 1071 DF, p-value: 1.482e-06 === Moderator 2: Memory contamination === No or inaccurate memory of mode of death (no possible contamination): r(200) = -0.161, 95% CI [-0.293, -0.024], t = -2.31, p = 0.022, N = 202 Accurate memory of mode of death (possible contamination): r(475) = -0.117, 95% CI [-0.204, -0.027], t = -2.56, p = 0.0107, N = 477 Interaction model: Call: lm(formula = intermp_log ~ death_unexp * no_or_wrong_memory, data = dat) Residuals: Min 1Q Median 3Q Max -0.93366 -0.35293 -0.07389 0.36666 1.62994 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.49031 0.07663 19.448 <2e-16 *** death_unexp -0.05307 0.02111 -2.514 0.0122 * no_or_wrong_memoryTRUE 0.04541 0.10607 0.428 0.6687 death_unexp:no_or_wrong_memoryTRUE -0.00208 0.03115 -0.067 0.9468 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.5016 on 675 degrees of freedom (999 observations deleted due to missingness) Multiple R-squared: 0.02208, Adjusted R-squared: 0.01774 F-statistic: 5.081 on 3 and 675 DF, p-value: 0.001746 === Moderator 3: Family association === Distribution of family association levels: 0 1 2 3 4 28 10 14 8 39 Main-effect model (controlling for family association): Call: lm(formula = intermp_log ~ death_unexp + family_assoc, data = dat) Residuals: Min 1Q Median 3Q Max -1.3097 -0.3185 -0.1056 0.3317 1.8916 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.494024 0.046055 32.440 < 2e-16 *** death_unexp -0.043135 0.011227 -3.842 0.00013 *** family_assoc -0.002946 0.009578 -0.308 0.75844 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.4985 on 1014 degrees of freedom (661 observations deleted due to missingness) Multiple R-squared: 0.01445, Adjusted R-squared: 0.01251 F-statistic: 7.434 on 2 and 1014 DF, p-value: 0.0006238 Interaction model: Call: lm(formula = intermp_log ~ death_unexp * family_assoc, data = dat) Residuals: Min 1Q Median 3Q Max -1.32650 -0.31481 -0.09899 0.33287 1.88411 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.579178 0.073822 21.392 < 2e-16 *** death_unexp -0.069017 0.020824 -3.314 0.000951 *** family_assoc -0.035298 0.023926 -1.475 0.140439 death_unexp:family_assoc 0.010286 0.006972 1.475 0.140418 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.4982 on 1013 degrees of freedom (661 observations deleted due to missingness) Multiple R-squared: 0.01656, Adjusted R-squared: 0.01365 F-statistic: 5.687 on 3 and 1013 DF, p-value: 0.0007314 === Moderator 4: Social status === PP higher status: 203; same: 405; PP lower status: 143 Binomial test (higher vs. lower, H0: p = .5): Exact binomial test data: pp_higher and pp_higher + pp_lower number of successes = 203, number of trials = 346, p-value = 0.001479 alternative hypothesis: true probability of success is not equal to 0.5 95 percent confidence interval: 0.5328158 0.6390976 sample estimates: probability of success 0.5867052 Main-effect model (controlling for social status difference): Call: lm(formula = intermp_log ~ death_unexp + social_status_diff_recoded, data = dat) Residuals: Min 1Q Median 3Q Max -0.82257 -0.28009 -0.09521 0.24174 1.92339 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.424627 0.048056 29.645 <2e-16 *** death_unexp -0.030593 0.014276 -2.143 0.0326 * social_status_diff_recoded -0.002922 0.009588 -0.305 0.7607 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.4573 on 543 degrees of freedom (1132 observations deleted due to missingness) Multiple R-squared: 0.008507, Adjusted R-squared: 0.004855 F-statistic: 2.33 on 2 and 543 DF, p-value: 0.09831 Interaction model: Call: lm(formula = intermp_log ~ death_unexp * social_status_diff_recoded, data = dat) Residuals: Min 1Q Median 3Q Max -0.84013 -0.27416 -0.08839 0.24196 1.92436 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.416527 0.048474 29.222 <2e-16 death_unexp -0.028215 0.014397 -1.960 0.0505 social_status_diff_recoded 0.025663 0.024952 1.029 0.3042 death_unexp:social_status_diff_recoded -0.008925 0.007193 -1.241 0.2152 (Intercept) *** death_unexp . social_status_diff_recoded death_unexp:social_status_diff_recoded --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.457 on 542 degrees of freedom (1132 observations deleted due to missingness) Multiple R-squared: 0.01132, Adjusted R-squared: 0.005843 F-statistic: 2.068 on 3 and 542 DF, p-value: 0.1035 === Moderator 5: Belief in reincarnation === Distribution of reincarnation-favorable religious affiliation: 0 1 28 72 Believing families: r(624) = -0.070, 95% CI [-0.148, 0.008], t = -1.75, p = 0.0798, N = 626 Non-believing families: r(253) = -0.211, 95% CI [-0.325, -0.090], t = -3.43, p = 0.000707, N = 255 Interaction model: Call: lm(formula = intermp_log ~ death_unexp * believeReinc_S, data = dat) Residuals: Min 1Q Median 3Q Max -1.17455 -0.32945 -0.07241 0.30219 1.85946 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.53700 0.08811 17.444 < 2e-16 *** death_unexp -0.09061 0.02412 -3.757 0.000183 *** believeReinc_S -0.07022 0.09949 -0.706 0.480512 death_unexp:believeReinc_S 0.06728 0.02782 2.418 0.015809 * --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.4827 on 877 degrees of freedom (797 observations deleted due to missingness) Multiple R-squared: 0.04303, Adjusted R-squared: 0.03976 F-statistic: 13.15 on 3 and 877 DF, p-value: 2.114e-08