We are looking at Facebook demographics, emoticon usage, and lexical analysis of Facebook messages to predict life satisfaction and subjective health.
We have the zero-order correlation with SWL (swl.r), p-value (swl.p), correlation with subjective health as a binomial variable (sh.r), and p-value (sh.p). and degrees of freedom (df). If the df is really low, it is because I'm chopping off too many outliers (it's an automated function), so don't trust the estimates. If the df is high, then it should be trustworthy.
## |id |name |swl.r |swl.p |sh.r |sh.p | df|
## |:-----|:-------------------|:-------|:------|:-------|:-----|----:|
## |df |Emot10_sad_eastern |-0.083 |+ |-0.106 |** | 551|
## |df1 |Emot11_all_emot |0.142 |*** |0.059 | | 549|
## |df2 |Emot1_smile |0.101 |* |0.050 | | 551|
## |df3 |Emot3_sad |0.071 |+ |-0.035 | | 551|
## |df4 |Emot4_surprise |-0.000 | |0.029 | | 551|
## |df5 |Emot5_love |-0.040 | |0.032 | | 551|
## |df6 |Emot6_wink |-0.020 | |0.055 | | 551|
## |df7 |Emot7_playful |-0.054 | |0.001 | | 551|
## |df8 |Emot8_skeptical |-0.032 | |-0.062 | | 551|
## |df9 |LIWC10_article |-0.080 |+ |-0.020 | | 466|
## |df10 |LIWC11_verb |-0.173 | |0.231 | | 16|
## |df11 |LIWC121_social |-0.290 |* |0.031 | | 53|
## |df12 |LIWC122_family |-0.071 |+ |-0.054 | | 548|
## |df13 |LIWC123_friend |0.058 | |0.014 | | 551|
## |df14 |LIWC124_humans |-0.020 | |0.032 | | 551|
## |df15 |LIWC125_affect |-0.031 | |0.004 | | 358|
## |df16 |LIWC126_posemo |0.007 | |0.015 | | 442|
## |df17 |LIWC127_negemo |-0.086 |* |0.033 | | 548|
## |df18 |LIWC128_anx |-0.071 |+ |-0.043 | | 551|
## |df19 |LIWC129_anger |-0.064 | |0.038 | | 551|
## |df20 |LIWC12_auxverb |-0.223 |+ |-0.088 | | 66|
## |df21 |LIWC130_sad |-0.064 | |-0.003 | | 551|
## |df22 |LIWC131_cogmech |-0.281 | |0.468 |* | 18|
## |df23 |LIWC132_insight |-0.055 | |0.065 | | 543|
## |df24 |LIWC133_cause |-0.076 |+ |0.007 | | 546|
## |df25 |LIWC134_discrep |-0.002 | |0.032 | | 536|
## |df26 |LIWC135_tentat |-0.050 | |0.008 | | 514|
## |df27 |LIWC136_certain |-0.021 | |0.053 | | 547|
## |df28 |LIWC137_inhib |-0.022 | |0.066 | | 551|
## |df29 |LIWC138_incl |0.004 | |0.034 | | 470|
## |df30 |LIWC139_excl |0.010 | |-0.006 | | 498|
## |df31 |LIWC13_past |-0.137 |** |-0.037 | | 493|
## |df32 |LIWC140_percept |-0.042 | |0.052 | | 545|
## |df33 |LIWC141_see |-0.001 | |0.041 | | 550|
## |df34 |LIWC142_hear |-0.107 |* |0.013 | | 551|
## |df35 |LIWC143_feel |-0.067 | |-0.010 | | 551|
## |df36 |LIWC146_bio |-0.053 | |0.024 | | 548|
## |df37 |LIWC147_body |-0.067 | |0.002 | | 551|
## |df38 |LIWC148_health |-0.033 | |-0.015 | | 551|
## |df39 |LIWC149_sexual |0.024 | |0.056 | | 550|
## |df40 |LIWC14_present |-0.228 | |0.219 | | 41|
## |df41 |LIWC150_ingest |-0.045 | |0.043 | | 551|
## |df42 |LIWC15_future |0.015 | |0.033 | | 546|
## |df43 |LIWC16_adverb |-0.089 | |-0.020 | | 260|
## |df44 |LIWC17_preps |-0.295 |+ |0.117 | | 33|
## |df45 |LIWC18_conj |-0.066 | |0.004 | | 253|
## |df46 |LIWC19_negate |-0.090 |* |0.038 | | 540|
## |df47 |LIWC1_funct |-0.158 | |0.109 | | 12|
## |df48 |LIWC20_quant |-0.059 | |0.019 | | 532|
## |df49 |LIWC21_number |-0.072 |+ |0.047 | | 551|
## |df50 |LIWC22_swear |-0.038 | |0.063 | | 551|
## |df51 |LIWC250_relativ |-0.138 | |0.325 |+ | 23|
## |df52 |LIWC251_motion |-0.016 | |0.050 | | 539|
## |df53 |LIWC252_space |-0.088 |+ |0.002 | | 435|
## |df54 |LIWC253_time |0.007 | |-0.012 | | 471|
## |df55 |LIWC2_pronoun |0.048 | |0.401 |+ | 16|
## |df56 |LIWC354_work |0.049 | |0.104 |** | 546|
## |df57 |LIWC355_achieve |-0.061 | |0.091 |* | 548|
## |df58 |LIWC356_leisure |-0.014 | |0.093 |* | 551|
## |df59 |LIWC357_home |-0.002 | |-0.004 | | 551|
## |df60 |LIWC358_money |-0.035 | |0.034 | | 549|
## |df61 |LIWC359_relig |0.012 | |0.036 | | 551|
## |df62 |LIWC360_death |-0.059 | |0.001 | | 551|
## |df63 |LIWC3_ppron |-0.088 | |0.274 | | 21|
## |df64 |LIWC462_assent |-0.033 | |-0.015 | | 519|
## |df65 |LIWC463_nonfl |0.024 | |0.085 |* | 551|
## |df66 |LIWC464_filler |-0.028 | |0.029 | | 551|
## |df67 |LIWC4_i |-0.066 | |0.041 | | 182|
## |df68 |LIWC5_we |0.133 |** |0.092 |* | 546|
## |df69 |LIWC6_you |0.045 | |0.056 | | 474|
## |df70 |LIWC7_shehe |-0.031 | |-0.089 |* | 540|
## |df71 |LIWC8_they |-0.044 | |-0.013 | | 550|
## |df72 |LIWC9_ipron |0.005 | |0.023 | | 437|
Controlling for gender, ethnicity, age, marital status, income, and education these are the final predictors that are still significant:
This is throwing all FB variables in to predict SWL.
##
## Call:
## lm(formula = swl.form, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.304 -0.746 0.033 0.773 2.609
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.28e+00 7.89e-01 4.15 4.0e-05 ***
## genderfemale 4.07e-01 7.38e-01 0.55 0.581
## gendermale 3.25e-01 7.34e-01 0.44 0.658
## age_c -4.39e-01 1.07e-01 -4.10 4.9e-05 ***
## age_sq 5.82e-02 2.91e-02 2.00 0.046 *
## number_of_likes -1.84e-04 1.34e-04 -1.37 0.170
## transitivity 5.73e-01 4.97e-01 1.15 0.250
## cent_degree_actual -1.03e-06 1.02e-06 -1.01 0.312
## cent_betweenness_max 4.18e-10 3.67e-10 1.14 0.255
## constraint 3.83e-01 6.91e-01 0.55 0.579
## Emot10_sad_eastern -2.10e+03 1.12e+03 -1.87 0.063 .
## Emot11_all_emot -2.11e+01 6.05e+01 -0.35 0.727
## Emot1_smile 4.76e+01 6.80e+01 0.70 0.484
## Emot3_sad 7.49e+01 9.08e+01 0.83 0.410
## Emot4_surprise -1.61e+03 7.51e+03 -0.21 0.830
## Emot5_love -3.70e+02 1.09e+03 -0.34 0.735
## Emot6_wink 7.34e+01 2.89e+02 0.25 0.800
## Emot7_playful -7.40e+02 7.54e+02 -0.98 0.327
## Emot8_skeptical -1.06e+02 1.70e+02 -0.62 0.533
## LIWC10_article 1.24e+01 1.14e+01 1.10 0.274
## LIWC11_verb 4.33e-01 2.35e+01 0.02 0.985
## LIWC121_social -1.10e+00 1.21e+00 -0.91 0.362
## LIWC122_family -1.48e+00 1.10e+01 -0.14 0.892
## LIWC123_friend 1.26e+02 6.68e+01 1.88 0.060 .
## LIWC124_humans -2.25e+01 2.56e+01 -0.88 0.380
## LIWC125_affect -4.96e+01 1.30e+02 -0.38 0.703
## LIWC126_posemo 5.77e+01 1.30e+02 0.44 0.657
## LIWC127_negemo 9.83e-01 1.36e+02 0.01 0.994
## LIWC128_anx -7.99e+01 1.64e+02 -0.49 0.627
## LIWC129_anger 4.47e+01 6.52e+01 0.69 0.494
## LIWC12_auxverb 1.12e+01 1.33e+01 0.85 0.397
## LIWC130_sad 2.87e+01 5.38e+01 0.53 0.594
## LIWC131_cogmech -2.62e+01 2.22e+01 -1.18 0.239
## LIWC132_insight -2.18e+00 3.10e+01 -0.07 0.944
## LIWC133_cause 2.17e+01 3.03e+01 0.72 0.473
## LIWC134_discrep 1.43e+01 2.07e+01 0.69 0.489
## LIWC135_tentat -5.01e+00 1.88e+01 -0.27 0.790
## LIWC136_certain 4.12e+01 3.04e+01 1.35 0.177
## LIWC137_inhib 6.44e+01 4.92e+01 1.31 0.191
## LIWC138_incl 1.78e+01 2.84e+01 0.63 0.530
## LIWC139_excl 2.63e+01 2.34e+01 1.13 0.261
## LIWC13_past -1.14e+01 2.35e+01 -0.48 0.629
## LIWC140_percept 5.88e+01 6.21e+01 0.95 0.345
## LIWC141_see -4.45e+01 6.19e+01 -0.72 0.472
## LIWC142_hear -4.72e+01 7.45e+01 -0.63 0.527
## LIWC143_feel -6.55e+01 6.93e+01 -0.94 0.346
## LIWC146_bio -1.08e+02 1.07e+02 -1.01 0.315
## LIWC147_body 7.57e+01 1.04e+02 0.73 0.465
## LIWC148_health 1.42e+02 1.11e+02 1.27 0.204
## LIWC149_sexual 1.16e+02 9.82e+01 1.18 0.239
## LIWC14_present -9.63e+00 2.12e+01 -0.45 0.650
## LIWC150_ingest 9.98e+01 1.14e+02 0.87 0.384
## LIWC15_future 2.82e+01 3.34e+01 0.85 0.398
## LIWC16_adverb 1.55e+01 1.20e+01 1.29 0.199
## LIWC17_preps -3.92e+00 1.17e+01 -0.34 0.737
## LIWC18_conj 6.11e+00 1.13e+01 0.54 0.588
## LIWC19_negate -1.96e+00 1.24e+01 -0.16 0.874
## LIWC1_funct -6.31e+00 8.92e+00 -0.71 0.479
## LIWC20_quant 7.28e+00 1.96e+01 0.37 0.711
## LIWC21_number -1.05e+01 3.23e+01 -0.33 0.745
## LIWC22_swear -4.83e+01 6.71e+01 -0.72 0.472
## LIWC250_relativ 2.19e+01 4.56e+01 0.48 0.631
## LIWC251_motion -2.84e+01 4.65e+01 -0.61 0.542
## LIWC252_space -1.30e+01 4.75e+01 -0.27 0.784
## LIWC253_time -2.69e+01 4.68e+01 -0.57 0.566
## LIWC2_pronoun 7.74e+04 1.19e+05 0.65 0.516
## LIWC354_work 7.13e+00 1.03e+01 0.70 0.487
## LIWC355_achieve -9.42e+00 2.09e+01 -0.45 0.653
## LIWC356_leisure 2.64e+01 2.55e+01 1.04 0.301
## LIWC357_home -2.09e+01 3.37e+01 -0.62 0.534
## LIWC358_money 8.66e+00 2.44e+01 0.36 0.723
## LIWC359_relig -9.56e-01 4.66e+01 -0.02 0.984
## LIWC360_death -7.58e+01 9.79e+01 -0.77 0.439
## LIWC3_ppron -8.01e+04 1.19e+05 -0.67 0.500
## LIWC462_assent -2.33e+01 9.52e+00 -2.45 0.015 *
## LIWC463_nonfl 3.03e+01 3.91e+01 0.78 0.439
## LIWC464_filler -2.95e+02 2.44e+02 -1.21 0.227
## LIWC4_i 2.68e+03 1.20e+04 0.22 0.823
## LIWC5_we 2.72e+03 1.20e+04 0.23 0.820
## LIWC6_you 2.70e+03 1.20e+04 0.23 0.822
## LIWC7_shehe 2.71e+03 1.20e+04 0.23 0.821
## LIWC8_they 2.70e+03 1.20e+04 0.23 0.822
## LIWC9_ipron -7.74e+04 1.19e+05 -0.65 0.516
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.17 on 470 degrees of freedom
## (64 observations deleted due to missingness)
## Multiple R-squared: 0.23, Adjusted R-squared: 0.0961
## F-statistic: 1.72 on 82 and 470 DF, p-value: 0.000304
This is everything predicting health. The last item is the coefficient of discrimination D, which is like an adjusted R-squared for logistic models.
##
## Call:
## glm(formula = sh.form, family = binomial, data = data)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.310 -0.967 0.524 0.844 2.203
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.37e+01 8.05e+02 0.02 0.98638
## genderfemale -1.56e+01 8.05e+02 -0.02 0.98453
## gendermale -1.53e+01 8.05e+02 -0.02 0.98480
## age_c -6.10e-01 2.11e-01 -2.89 0.00386 **
## age_sq 9.59e-02 5.91e-02 1.62 0.10465
## number_of_likes -5.24e-04 2.79e-04 -1.88 0.06054 .
## transitivity 3.76e+00 1.01e+00 3.71 0.00021 ***
## cent_degree_actual 1.49e-06 2.11e-06 0.70 0.48162
## cent_betweenness_max -2.69e-10 6.73e-10 -0.40 0.68934
## constraint 4.80e-01 1.54e+00 0.31 0.75465
## Emot10_sad_eastern -8.97e+03 3.46e+03 -2.60 0.00944 **
## Emot11_all_emot 1.69e+02 1.23e+02 1.38 0.16671
## Emot1_smile -1.09e+02 1.35e+02 -0.81 0.41885
## Emot3_sad -4.52e+02 2.03e+02 -2.23 0.02589 *
## Emot4_surprise 9.46e+04 9.06e+06 0.01 0.99167
## Emot5_love 2.69e+03 2.46e+03 1.09 0.27550
## Emot6_wink 1.12e+03 9.45e+02 1.18 0.23728
## Emot7_playful -5.02e+02 1.60e+03 -0.31 0.75353
## Emot8_skeptical -8.06e+02 5.95e+02 -1.35 0.17562
## LIWC10_article -8.07e+00 2.47e+01 -0.33 0.74340
## LIWC11_verb 5.51e+01 4.91e+01 1.12 0.26172
## LIWC121_social 1.34e+00 1.22e+00 1.10 0.27279
## LIWC122_family -5.43e+01 4.51e+01 -1.20 0.22837
## LIWC123_friend -1.09e+02 1.46e+02 -0.75 0.45526
## LIWC124_humans 2.03e+01 4.33e+01 0.47 0.63841
## LIWC125_affect -7.14e+00 2.02e+02 -0.04 0.97189
## LIWC126_posemo 5.55e+01 2.02e+02 0.28 0.78331
## LIWC127_negemo -1.08e+01 2.21e+02 -0.05 0.96085
## LIWC128_anx -2.49e+02 3.19e+02 -0.78 0.43502
## LIWC129_anger 1.84e+01 1.48e+02 0.12 0.90130
## LIWC12_auxverb -2.74e+01 2.71e+01 -1.01 0.31275
## LIWC130_sad 5.16e+00 1.30e+02 0.04 0.96838
## LIWC131_cogmech -1.61e+01 4.72e+01 -0.34 0.73353
## LIWC132_insight 2.57e+01 6.12e+01 0.42 0.67524
## LIWC133_cause -6.47e+01 5.77e+01 -1.12 0.26220
## LIWC134_discrep -7.06e+01 4.89e+01 -1.44 0.14897
## LIWC135_tentat 6.96e+00 4.00e+01 0.17 0.86170
## LIWC136_certain -8.09e+01 6.70e+01 -1.21 0.22748
## LIWC137_inhib 1.50e+02 1.14e+02 1.31 0.18853
## LIWC138_incl 6.60e+01 5.84e+01 1.13 0.25816
## LIWC139_excl -3.14e+01 4.55e+01 -0.69 0.49058
## LIWC13_past -3.27e+01 4.90e+01 -0.67 0.50459
## LIWC140_percept -6.93e+01 1.29e+02 -0.54 0.59037
## LIWC141_see 1.38e+02 1.29e+02 1.07 0.28543
## LIWC142_hear 1.93e+01 1.58e+02 0.12 0.90243
## LIWC143_feel 1.38e+01 1.44e+02 0.10 0.92342
## LIWC146_bio -4.66e+02 2.18e+02 -2.14 0.03209 *
## LIWC147_body 4.09e+02 2.06e+02 1.98 0.04718 *
## LIWC148_health 2.90e+02 2.23e+02 1.30 0.19310
## LIWC149_sexual 3.49e+02 2.04e+02 1.71 0.08816 .
## LIWC14_present -4.37e+01 4.39e+01 -1.00 0.31963
## LIWC150_ingest 6.74e+02 2.31e+02 2.93 0.00344 **
## LIWC15_future 1.19e+01 6.75e+01 0.18 0.85979
## LIWC16_adverb 6.07e+00 2.50e+01 0.24 0.80802
## LIWC17_preps -6.11e+00 2.40e+01 -0.25 0.79873
## LIWC18_conj -1.05e+01 2.39e+01 -0.44 0.66134
## LIWC19_negate 6.66e+01 2.78e+01 2.39 0.01663 *
## LIWC1_funct -3.06e+00 1.85e+01 -0.16 0.86902
## LIWC20_quant 3.31e+01 4.01e+01 0.83 0.40931
## LIWC21_number -1.99e+01 6.81e+01 -0.29 0.77030
## LIWC22_swear 2.32e+01 1.47e+02 0.16 0.87457
## LIWC250_relativ -2.78e+01 9.91e+01 -0.28 0.77948
## LIWC251_motion -4.66e+00 1.04e+02 -0.04 0.96412
## LIWC252_space 2.07e+01 1.03e+02 0.20 0.83996
## LIWC253_time 3.11e+01 1.00e+02 0.31 0.75583
## LIWC2_pronoun 4.19e+05 2.48e+05 1.69 0.09043 .
## LIWC354_work -3.36e+01 2.11e+01 -1.59 0.11148
## LIWC355_achieve 6.95e+01 4.59e+01 1.51 0.13014
## LIWC356_leisure 2.30e+01 5.25e+01 0.44 0.66047
## LIWC357_home -9.66e+01 7.20e+01 -1.34 0.17991
## LIWC358_money 9.48e+00 4.81e+01 0.20 0.84390
## LIWC359_relig 8.13e+01 1.02e+02 0.80 0.42402
## LIWC360_death -8.20e+00 1.91e+02 -0.04 0.96570
## LIWC3_ppron -4.31e+05 2.46e+05 -1.75 0.08022 .
## LIWC462_assent -7.09e+01 2.16e+01 -3.28 0.00104 **
## LIWC463_nonfl 5.14e+01 7.68e+01 0.67 0.50338
## LIWC464_filler 3.34e+02 5.14e+02 0.65 0.51576
## LIWC4_i 1.19e+04 2.23e+04 0.54 0.59186
## LIWC5_we 1.19e+04 2.23e+04 0.54 0.59147
## LIWC6_you 1.19e+04 2.23e+04 0.54 0.59239
## LIWC7_shehe 1.19e+04 2.23e+04 0.53 0.59328
## LIWC8_they 1.19e+04 2.23e+04 0.53 0.59296
## LIWC9_ipron -4.19e+05 2.48e+05 -1.69 0.09046 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 796.51 on 616 degrees of freedom
## Residual deviance: 646.30 on 534 degrees of freedom
## AIC: 812.3
##
## Number of Fisher Scoring iterations: 14
##
## R-square measures and the coefficient of discrimination, 'D':
##
## R2mod R2res R2cor D
## 0.2216 0.218 0.218 0.2198
##
## Number of binomial observations: 617
## Number of binary observation: 617
## Average group size: 1