#set the working directory (wd) to the folder that contains the script file, and read in the data
x <- getwd()
setwd(x)
mydata = read.table("Zscores.pairsCOMBINED.csv", header=T, sep=",")
#look at correlation matrix (check for multicollinearity)
mydata.corr <- mydata %>% dplyr::select (GenderMatch, Zthghts_mean, Zspbeh_mean, Zgenbeh_mean, Zthghts_andbeh, Zother_people_mean, Zrelationships_mean, Zcurrent_events_mean, Zpast_events_mean, Zown_pers_mean, Zall_info, Zexpressive_mean, Zpersonal_mean, Zassngd_topics_mean, Zadd_topics_mean, Zsimilar_mean, Zsimilar_talk_mean, Zeye_contact_mean, Ztempo_mean, Zagr, Zcon, Zext, Zneur, Zopen)
rcorr(as.matrix(mydata.corr))
## GenderMatch Zthghts_mean Zspbeh_mean Zgenbeh_mean
## GenderMatch 1.00 0.08 0.04 -0.03
## Zthghts_mean 0.08 1.00 0.49 0.61
## Zspbeh_mean 0.04 0.49 1.00 0.76
## Zgenbeh_mean -0.03 0.61 0.76 1.00
## Zthghts_andbeh 0.03 0.82 0.86 0.92
## Zother_people_mean -0.21 0.33 0.29 0.30
## Zrelationships_mean -0.12 0.42 0.44 0.49
## Zcurrent_events_mean 0.04 0.37 0.23 0.29
## Zpast_events_mean -0.05 0.14 0.31 0.31
## Zown_pers_mean 0.01 0.52 0.56 0.71
## Zall_info -0.04 0.72 0.75 0.82
## Zexpressive_mean -0.03 0.24 0.18 0.17
## Zpersonal_mean -0.08 0.32 0.27 0.27
## Zassngd_topics_mean 0.01 0.35 0.16 0.24
## Zadd_topics_mean -0.06 0.13 0.14 0.23
## Zsimilar_mean -0.10 0.19 0.21 0.21
## Zsimilar_talk_mean -0.15 0.40 0.44 0.50
## Zeye_contact_mean -0.05 0.67 0.46 0.54
## Ztempo_mean 0.03 0.12 0.20 0.13
## Zagr 0.10 0.15 0.04 -0.02
## Zcon -0.04 0.18 0.08 0.08
## Zext 0.10 0.06 0.09 0.02
## Zneur -0.15 0.09 0.01 0.12
## Zopen -0.01 0.23 0.15 0.11
## Zthghts_andbeh Zother_people_mean Zrelationships_mean
## GenderMatch 0.03 -0.21 -0.12
## Zthghts_mean 0.82 0.33 0.42
## Zspbeh_mean 0.86 0.29 0.44
## Zgenbeh_mean 0.92 0.30 0.49
## Zthghts_andbeh 1.00 0.35 0.52
## Zother_people_mean 0.35 1.00 0.69
## Zrelationships_mean 0.52 0.69 1.00
## Zcurrent_events_mean 0.34 0.44 0.35
## Zpast_events_mean 0.29 0.33 0.21
## Zown_pers_mean 0.70 0.28 0.49
## Zall_info 0.88 0.66 0.75
## Zexpressive_mean 0.23 0.20 0.13
## Zpersonal_mean 0.33 0.61 0.61
## Zassngd_topics_mean 0.29 0.18 0.39
## Zadd_topics_mean 0.20 0.33 0.04
## Zsimilar_mean 0.23 0.26 0.18
## Zsimilar_talk_mean 0.52 0.24 0.31
## Zeye_contact_mean 0.65 0.36 0.41
## Ztempo_mean 0.17 0.30 0.25
## Zagr 0.07 -0.11 -0.02
## Zcon 0.13 0.00 0.10
## Zext 0.07 0.06 0.04
## Zneur 0.09 0.01 0.10
## Zopen 0.19 0.04 0.15
## Zcurrent_events_mean Zpast_events_mean Zown_pers_mean
## GenderMatch 0.04 -0.05 0.01
## Zthghts_mean 0.37 0.14 0.52
## Zspbeh_mean 0.23 0.31 0.56
## Zgenbeh_mean 0.29 0.31 0.71
## Zthghts_andbeh 0.34 0.29 0.70
## Zother_people_mean 0.44 0.33 0.28
## Zrelationships_mean 0.35 0.21 0.49
## Zcurrent_events_mean 1.00 0.32 0.13
## Zpast_events_mean 0.32 1.00 0.14
## Zown_pers_mean 0.13 0.14 1.00
## Zall_info 0.56 0.49 0.71
## Zexpressive_mean 0.24 0.16 0.14
## Zpersonal_mean 0.39 0.32 0.19
## Zassngd_topics_mean 0.19 -0.17 0.19
## Zadd_topics_mean 0.40 0.47 0.05
## Zsimilar_mean 0.20 0.21 0.19
## Zsimilar_talk_mean 0.15 0.15 0.46
## Zeye_contact_mean 0.40 0.21 0.45
## Ztempo_mean 0.28 0.28 0.14
## Zagr -0.13 -0.02 0.07
## Zcon -0.06 -0.12 0.25
## Zext 0.04 0.08 0.09
## Zneur 0.01 -0.06 0.02
## Zopen 0.06 -0.06 0.12
## Zall_info Zexpressive_mean Zpersonal_mean
## GenderMatch -0.04 -0.03 -0.08
## Zthghts_mean 0.72 0.24 0.32
## Zspbeh_mean 0.75 0.18 0.27
## Zgenbeh_mean 0.82 0.17 0.27
## Zthghts_andbeh 0.88 0.23 0.33
## Zother_people_mean 0.66 0.20 0.61
## Zrelationships_mean 0.75 0.13 0.61
## Zcurrent_events_mean 0.56 0.24 0.39
## Zpast_events_mean 0.49 0.16 0.32
## Zown_pers_mean 0.71 0.14 0.19
## Zall_info 1.00 0.27 0.54
## Zexpressive_mean 0.27 1.00 0.34
## Zpersonal_mean 0.54 0.34 1.00
## Zassngd_topics_mean 0.28 0.08 0.20
## Zadd_topics_mean 0.32 0.19 0.19
## Zsimilar_mean 0.30 0.36 0.18
## Zsimilar_talk_mean 0.49 0.30 0.21
## Zeye_contact_mean 0.64 0.44 0.39
## Ztempo_mean 0.31 0.63 0.44
## Zagr 0.00 0.12 -0.19
## Zcon 0.10 0.04 -0.11
## Zext 0.09 0.37 0.12
## Zneur 0.06 -0.03 0.15
## Zopen 0.15 0.29 0.17
## Zassngd_topics_mean Zadd_topics_mean Zsimilar_mean
## GenderMatch 0.01 -0.06 -0.10
## Zthghts_mean 0.35 0.13 0.19
## Zspbeh_mean 0.16 0.14 0.21
## Zgenbeh_mean 0.24 0.23 0.21
## Zthghts_andbeh 0.29 0.20 0.23
## Zother_people_mean 0.18 0.33 0.26
## Zrelationships_mean 0.39 0.04 0.18
## Zcurrent_events_mean 0.19 0.40 0.20
## Zpast_events_mean -0.17 0.47 0.21
## Zown_pers_mean 0.19 0.05 0.19
## Zall_info 0.28 0.32 0.30
## Zexpressive_mean 0.08 0.19 0.36
## Zpersonal_mean 0.20 0.19 0.18
## Zassngd_topics_mean 1.00 -0.16 0.11
## Zadd_topics_mean -0.16 1.00 0.23
## Zsimilar_mean 0.11 0.23 1.00
## Zsimilar_talk_mean 0.19 0.12 0.73
## Zeye_contact_mean 0.31 0.15 0.24
## Ztempo_mean 0.06 0.01 0.19
## Zagr -0.04 -0.12 0.16
## Zcon 0.04 -0.28 0.04
## Zext -0.07 0.00 0.17
## Zneur 0.11 0.11 -0.10
## Zopen 0.01 -0.11 0.12
## Zsimilar_talk_mean Zeye_contact_mean Ztempo_mean Zagr
## GenderMatch -0.15 -0.05 0.03 0.10
## Zthghts_mean 0.40 0.67 0.12 0.15
## Zspbeh_mean 0.44 0.46 0.20 0.04
## Zgenbeh_mean 0.50 0.54 0.13 -0.02
## Zthghts_andbeh 0.52 0.65 0.17 0.07
## Zother_people_mean 0.24 0.36 0.30 -0.11
## Zrelationships_mean 0.31 0.41 0.25 -0.02
## Zcurrent_events_mean 0.15 0.40 0.28 -0.13
## Zpast_events_mean 0.15 0.21 0.28 -0.02
## Zown_pers_mean 0.46 0.45 0.14 0.07
## Zall_info 0.49 0.64 0.31 0.00
## Zexpressive_mean 0.30 0.44 0.63 0.12
## Zpersonal_mean 0.21 0.39 0.44 -0.19
## Zassngd_topics_mean 0.19 0.31 0.06 -0.04
## Zadd_topics_mean 0.12 0.15 0.01 -0.12
## Zsimilar_mean 0.73 0.24 0.19 0.16
## Zsimilar_talk_mean 1.00 0.38 0.14 0.17
## Zeye_contact_mean 0.38 1.00 0.29 0.15
## Ztempo_mean 0.14 0.29 1.00 -0.01
## Zagr 0.17 0.15 -0.01 1.00
## Zcon 0.13 0.21 -0.06 0.56
## Zext 0.04 0.16 0.31 0.21
## Zneur 0.05 -0.01 -0.07 -0.45
## Zopen 0.09 0.31 0.17 0.28
## Zcon Zext Zneur Zopen
## GenderMatch -0.04 0.10 -0.15 -0.01
## Zthghts_mean 0.18 0.06 0.09 0.23
## Zspbeh_mean 0.08 0.09 0.01 0.15
## Zgenbeh_mean 0.08 0.02 0.12 0.11
## Zthghts_andbeh 0.13 0.07 0.09 0.19
## Zother_people_mean 0.00 0.06 0.01 0.04
## Zrelationships_mean 0.10 0.04 0.10 0.15
## Zcurrent_events_mean -0.06 0.04 0.01 0.06
## Zpast_events_mean -0.12 0.08 -0.06 -0.06
## Zown_pers_mean 0.25 0.09 0.02 0.12
## Zall_info 0.10 0.09 0.06 0.15
## Zexpressive_mean 0.04 0.37 -0.03 0.29
## Zpersonal_mean -0.11 0.12 0.15 0.17
## Zassngd_topics_mean 0.04 -0.07 0.11 0.01
## Zadd_topics_mean -0.28 0.00 0.11 -0.11
## Zsimilar_mean 0.04 0.17 -0.10 0.12
## Zsimilar_talk_mean 0.13 0.04 0.05 0.09
## Zeye_contact_mean 0.21 0.16 -0.01 0.31
## Ztempo_mean -0.06 0.31 -0.07 0.17
## Zagr 0.56 0.21 -0.45 0.28
## Zcon 1.00 0.26 -0.47 0.29
## Zext 0.26 1.00 -0.61 0.40
## Zneur -0.47 -0.61 1.00 -0.13
## Zopen 0.29 0.40 -0.13 1.00
##
## n
## GenderMatch Zthghts_mean Zspbeh_mean Zgenbeh_mean
## GenderMatch 113 113 113 113
## Zthghts_mean 113 113 113 113
## Zspbeh_mean 113 113 113 113
## Zgenbeh_mean 113 113 113 113
## Zthghts_andbeh 113 113 113 113
## Zother_people_mean 113 113 113 113
## Zrelationships_mean 113 113 113 113
## Zcurrent_events_mean 113 113 113 113
## Zpast_events_mean 113 113 113 113
## Zown_pers_mean 113 113 113 113
## Zall_info 113 113 113 113
## Zexpressive_mean 113 113 113 113
## Zpersonal_mean 113 113 113 113
## Zassngd_topics_mean 113 113 113 113
## Zadd_topics_mean 113 113 113 113
## Zsimilar_mean 113 113 113 113
## Zsimilar_talk_mean 113 113 113 113
## Zeye_contact_mean 113 113 113 113
## Ztempo_mean 113 113 113 113
## Zagr 113 113 113 113
## Zcon 113 113 113 113
## Zext 113 113 113 113
## Zneur 113 113 113 113
## Zopen 113 113 113 113
## Zthghts_andbeh Zother_people_mean Zrelationships_mean
## GenderMatch 113 113 113
## Zthghts_mean 113 113 113
## Zspbeh_mean 113 113 113
## Zgenbeh_mean 113 113 113
## Zthghts_andbeh 113 113 113
## Zother_people_mean 113 115 115
## Zrelationships_mean 113 115 115
## Zcurrent_events_mean 113 113 113
## Zpast_events_mean 113 113 113
## Zown_pers_mean 113 113 113
## Zall_info 113 113 113
## Zexpressive_mean 113 113 113
## Zpersonal_mean 113 113 113
## Zassngd_topics_mean 113 113 113
## Zadd_topics_mean 113 113 113
## Zsimilar_mean 113 113 113
## Zsimilar_talk_mean 113 113 113
## Zeye_contact_mean 113 113 113
## Ztempo_mean 113 113 113
## Zagr 113 113 113
## Zcon 113 113 113
## Zext 113 113 113
## Zneur 113 113 113
## Zopen 113 113 113
## Zcurrent_events_mean Zpast_events_mean Zown_pers_mean
## GenderMatch 113 113 113
## Zthghts_mean 113 113 113
## Zspbeh_mean 113 113 113
## Zgenbeh_mean 113 113 113
## Zthghts_andbeh 113 113 113
## Zother_people_mean 113 113 113
## Zrelationships_mean 113 113 113
## Zcurrent_events_mean 113 113 113
## Zpast_events_mean 113 113 113
## Zown_pers_mean 113 113 113
## Zall_info 113 113 113
## Zexpressive_mean 113 113 113
## Zpersonal_mean 113 113 113
## Zassngd_topics_mean 113 113 113
## Zadd_topics_mean 113 113 113
## Zsimilar_mean 113 113 113
## Zsimilar_talk_mean 113 113 113
## Zeye_contact_mean 113 113 113
## Ztempo_mean 113 113 113
## Zagr 113 113 113
## Zcon 113 113 113
## Zext 113 113 113
## Zneur 113 113 113
## Zopen 113 113 113
## Zall_info Zexpressive_mean Zpersonal_mean
## GenderMatch 113 113 113
## Zthghts_mean 113 113 113
## Zspbeh_mean 113 113 113
## Zgenbeh_mean 113 113 113
## Zthghts_andbeh 113 113 113
## Zother_people_mean 113 113 113
## Zrelationships_mean 113 113 113
## Zcurrent_events_mean 113 113 113
## Zpast_events_mean 113 113 113
## Zown_pers_mean 113 113 113
## Zall_info 113 113 113
## Zexpressive_mean 113 113 113
## Zpersonal_mean 113 113 113
## Zassngd_topics_mean 113 113 113
## Zadd_topics_mean 113 113 113
## Zsimilar_mean 113 113 113
## Zsimilar_talk_mean 113 113 113
## Zeye_contact_mean 113 113 113
## Ztempo_mean 113 113 113
## Zagr 113 113 113
## Zcon 113 113 113
## Zext 113 113 113
## Zneur 113 113 113
## Zopen 113 113 113
## Zassngd_topics_mean Zadd_topics_mean Zsimilar_mean
## GenderMatch 113 113 113
## Zthghts_mean 113 113 113
## Zspbeh_mean 113 113 113
## Zgenbeh_mean 113 113 113
## Zthghts_andbeh 113 113 113
## Zother_people_mean 113 113 113
## Zrelationships_mean 113 113 113
## Zcurrent_events_mean 113 113 113
## Zpast_events_mean 113 113 113
## Zown_pers_mean 113 113 113
## Zall_info 113 113 113
## Zexpressive_mean 113 113 113
## Zpersonal_mean 113 113 113
## Zassngd_topics_mean 113 113 113
## Zadd_topics_mean 113 113 113
## Zsimilar_mean 113 113 113
## Zsimilar_talk_mean 113 113 113
## Zeye_contact_mean 113 113 113
## Ztempo_mean 113 113 113
## Zagr 113 113 113
## Zcon 113 113 113
## Zext 113 113 113
## Zneur 113 113 113
## Zopen 113 113 113
## Zsimilar_talk_mean Zeye_contact_mean Ztempo_mean Zagr Zcon
## GenderMatch 113 113 113 113 113
## Zthghts_mean 113 113 113 113 113
## Zspbeh_mean 113 113 113 113 113
## Zgenbeh_mean 113 113 113 113 113
## Zthghts_andbeh 113 113 113 113 113
## Zother_people_mean 113 113 113 113 113
## Zrelationships_mean 113 113 113 113 113
## Zcurrent_events_mean 113 113 113 113 113
## Zpast_events_mean 113 113 113 113 113
## Zown_pers_mean 113 113 113 113 113
## Zall_info 113 113 113 113 113
## Zexpressive_mean 113 113 113 113 113
## Zpersonal_mean 113 113 113 113 113
## Zassngd_topics_mean 113 113 113 113 113
## Zadd_topics_mean 113 113 113 113 113
## Zsimilar_mean 113 113 113 113 113
## Zsimilar_talk_mean 113 113 113 113 113
## Zeye_contact_mean 113 113 113 113 113
## Ztempo_mean 113 113 113 113 113
## Zagr 113 113 113 113 113
## Zcon 113 113 113 113 113
## Zext 113 113 113 113 113
## Zneur 113 113 113 113 113
## Zopen 113 113 113 113 113
## Zext Zneur Zopen
## GenderMatch 113 113 113
## Zthghts_mean 113 113 113
## Zspbeh_mean 113 113 113
## Zgenbeh_mean 113 113 113
## Zthghts_andbeh 113 113 113
## Zother_people_mean 113 113 113
## Zrelationships_mean 113 113 113
## Zcurrent_events_mean 113 113 113
## Zpast_events_mean 113 113 113
## Zown_pers_mean 113 113 113
## Zall_info 113 113 113
## Zexpressive_mean 113 113 113
## Zpersonal_mean 113 113 113
## Zassngd_topics_mean 113 113 113
## Zadd_topics_mean 113 113 113
## Zsimilar_mean 113 113 113
## Zsimilar_talk_mean 113 113 113
## Zeye_contact_mean 113 113 113
## Ztempo_mean 113 113 113
## Zagr 113 113 113
## Zcon 113 113 113
## Zext 113 113 113
## Zneur 113 113 113
## Zopen 113 113 113
##
## P
## GenderMatch Zthghts_mean Zspbeh_mean Zgenbeh_mean
## GenderMatch 0.4292 0.6433 0.7230
## Zthghts_mean 0.4292 0.0000 0.0000
## Zspbeh_mean 0.6433 0.0000 0.0000
## Zgenbeh_mean 0.7230 0.0000 0.0000
## Zthghts_andbeh 0.7344 0.0000 0.0000 0.0000
## Zother_people_mean 0.0293 0.0004 0.0022 0.0014
## Zrelationships_mean 0.2144 0.0000 0.0000 0.0000
## Zcurrent_events_mean 0.6710 0.0000 0.0159 0.0022
## Zpast_events_mean 0.6338 0.1493 0.0009 0.0008
## Zown_pers_mean 0.8915 0.0000 0.0000 0.0000
## Zall_info 0.6675 0.0000 0.0000 0.0000
## Zexpressive_mean 0.7798 0.0091 0.0624 0.0746
## Zpersonal_mean 0.3800 0.0005 0.0037 0.0035
## Zassngd_topics_mean 0.9030 0.0001 0.0897 0.0119
## Zadd_topics_mean 0.5383 0.1554 0.1334 0.0142
## Zsimilar_mean 0.2895 0.0437 0.0288 0.0237
## Zsimilar_talk_mean 0.1012 0.0000 0.0000 0.0000
## Zeye_contact_mean 0.6038 0.0000 0.0000 0.0000
## Ztempo_mean 0.7926 0.2163 0.0334 0.1598
## Zagr 0.2712 0.1040 0.6748 0.8609
## Zcon 0.6689 0.0502 0.3887 0.4091
## Zext 0.3029 0.5303 0.3199 0.8024
## Zneur 0.1068 0.3380 0.9073 0.1968
## Zopen 0.9111 0.0123 0.1152 0.2539
## Zthghts_andbeh Zother_people_mean Zrelationships_mean
## GenderMatch 0.7344 0.0293 0.2144
## Zthghts_mean 0.0000 0.0004 0.0000
## Zspbeh_mean 0.0000 0.0022 0.0000
## Zgenbeh_mean 0.0000 0.0014 0.0000
## Zthghts_andbeh 0.0001 0.0000
## Zother_people_mean 0.0001 0.0000
## Zrelationships_mean 0.0000 0.0000
## Zcurrent_events_mean 0.0002 0.0000 0.0002
## Zpast_events_mean 0.0019 0.0004 0.0245
## Zown_pers_mean 0.0000 0.0032 0.0000
## Zall_info 0.0000 0.0000 0.0000
## Zexpressive_mean 0.0154 0.0307 0.1796
## Zpersonal_mean 0.0003 0.0000 0.0000
## Zassngd_topics_mean 0.0017 0.0580 0.0000
## Zadd_topics_mean 0.0371 0.0004 0.6547
## Zsimilar_mean 0.0124 0.0061 0.0547
## Zsimilar_talk_mean 0.0000 0.0108 0.0007
## Zeye_contact_mean 0.0000 0.0000 0.0000
## Ztempo_mean 0.0683 0.0012 0.0068
## Zagr 0.4704 0.2534 0.8235
## Zcon 0.1574 0.9675 0.2869
## Zext 0.4782 0.5324 0.6760
## Zneur 0.3506 0.9102 0.2729
## Zopen 0.0438 0.7092 0.1016
## Zcurrent_events_mean Zpast_events_mean Zown_pers_mean
## GenderMatch 0.6710 0.6338 0.8915
## Zthghts_mean 0.0000 0.1493 0.0000
## Zspbeh_mean 0.0159 0.0009 0.0000
## Zgenbeh_mean 0.0022 0.0008 0.0000
## Zthghts_andbeh 0.0002 0.0019 0.0000
## Zother_people_mean 0.0000 0.0004 0.0032
## Zrelationships_mean 0.0002 0.0245 0.0000
## Zcurrent_events_mean 0.0005 0.1718
## Zpast_events_mean 0.0005 0.1396
## Zown_pers_mean 0.1718 0.1396
## Zall_info 0.0000 0.0000 0.0000
## Zexpressive_mean 0.0115 0.0859 0.1387
## Zpersonal_mean 0.0000 0.0004 0.0419
## Zassngd_topics_mean 0.0471 0.0709 0.0486
## Zadd_topics_mean 0.0000 0.0000 0.5951
## Zsimilar_mean 0.0327 0.0224 0.0484
## Zsimilar_talk_mean 0.1151 0.1247 0.0000
## Zeye_contact_mean 0.0000 0.0250 0.0000
## Ztempo_mean 0.0029 0.0031 0.1339
## Zagr 0.1623 0.8255 0.4778
## Zcon 0.5085 0.2085 0.0079
## Zext 0.6640 0.3778 0.3353
## Zneur 0.9223 0.5130 0.8030
## Zopen 0.5032 0.5047 0.2071
## Zall_info Zexpressive_mean Zpersonal_mean
## GenderMatch 0.6675 0.7798 0.3800
## Zthghts_mean 0.0000 0.0091 0.0005
## Zspbeh_mean 0.0000 0.0624 0.0037
## Zgenbeh_mean 0.0000 0.0746 0.0035
## Zthghts_andbeh 0.0000 0.0154 0.0003
## Zother_people_mean 0.0000 0.0307 0.0000
## Zrelationships_mean 0.0000 0.1796 0.0000
## Zcurrent_events_mean 0.0000 0.0115 0.0000
## Zpast_events_mean 0.0000 0.0859 0.0004
## Zown_pers_mean 0.0000 0.1387 0.0419
## Zall_info 0.0046 0.0000
## Zexpressive_mean 0.0046 0.0002
## Zpersonal_mean 0.0000 0.0002
## Zassngd_topics_mean 0.0022 0.4118 0.0316
## Zadd_topics_mean 0.0006 0.0476 0.0481
## Zsimilar_mean 0.0013 0.0000 0.0629
## Zsimilar_talk_mean 0.0000 0.0013 0.0255
## Zeye_contact_mean 0.0000 0.0000 0.0000
## Ztempo_mean 0.0010 0.0000 0.0000
## Zagr 0.9727 0.2243 0.0425
## Zcon 0.2873 0.6551 0.2276
## Zext 0.3472 0.0000 0.2062
## Zneur 0.5280 0.7561 0.1215
## Zopen 0.1116 0.0022 0.0663
## Zassngd_topics_mean Zadd_topics_mean Zsimilar_mean
## GenderMatch 0.9030 0.5383 0.2895
## Zthghts_mean 0.0001 0.1554 0.0437
## Zspbeh_mean 0.0897 0.1334 0.0288
## Zgenbeh_mean 0.0119 0.0142 0.0237
## Zthghts_andbeh 0.0017 0.0371 0.0124
## Zother_people_mean 0.0580 0.0004 0.0061
## Zrelationships_mean 0.0000 0.6547 0.0547
## Zcurrent_events_mean 0.0471 0.0000 0.0327
## Zpast_events_mean 0.0709 0.0000 0.0224
## Zown_pers_mean 0.0486 0.5951 0.0484
## Zall_info 0.0022 0.0006 0.0013
## Zexpressive_mean 0.4118 0.0476 0.0000
## Zpersonal_mean 0.0316 0.0481 0.0629
## Zassngd_topics_mean 0.1004 0.2342
## Zadd_topics_mean 0.1004 0.0148
## Zsimilar_mean 0.2342 0.0148
## Zsimilar_talk_mean 0.0456 0.2075 0.0000
## Zeye_contact_mean 0.0008 0.1188 0.0097
## Ztempo_mean 0.5036 0.8846 0.0431
## Zagr 0.6395 0.1941 0.1007
## Zcon 0.6780 0.0024 0.6683
## Zext 0.4817 0.9697 0.0696
## Zneur 0.2379 0.2496 0.3064
## Zopen 0.9056 0.2610 0.2056
## Zsimilar_talk_mean Zeye_contact_mean Ztempo_mean Zagr
## GenderMatch 0.1012 0.6038 0.7926 0.2712
## Zthghts_mean 0.0000 0.0000 0.2163 0.1040
## Zspbeh_mean 0.0000 0.0000 0.0334 0.6748
## Zgenbeh_mean 0.0000 0.0000 0.1598 0.8609
## Zthghts_andbeh 0.0000 0.0000 0.0683 0.4704
## Zother_people_mean 0.0108 0.0000 0.0012 0.2534
## Zrelationships_mean 0.0007 0.0000 0.0068 0.8235
## Zcurrent_events_mean 0.1151 0.0000 0.0029 0.1623
## Zpast_events_mean 0.1247 0.0250 0.0031 0.8255
## Zown_pers_mean 0.0000 0.0000 0.1339 0.4778
## Zall_info 0.0000 0.0000 0.0010 0.9727
## Zexpressive_mean 0.0013 0.0000 0.0000 0.2243
## Zpersonal_mean 0.0255 0.0000 0.0000 0.0425
## Zassngd_topics_mean 0.0456 0.0008 0.5036 0.6395
## Zadd_topics_mean 0.2075 0.1188 0.8846 0.1941
## Zsimilar_mean 0.0000 0.0097 0.0431 0.1007
## Zsimilar_talk_mean 0.0000 0.1309 0.0703
## Zeye_contact_mean 0.0000 0.0016 0.1189
## Ztempo_mean 0.1309 0.0016 0.9420
## Zagr 0.0703 0.1189 0.9420
## Zcon 0.1592 0.0237 0.5593 0.0000
## Zext 0.6559 0.1011 0.0010 0.0248
## Zneur 0.5944 0.8782 0.4317 0.0000
## Zopen 0.3598 0.0010 0.0656 0.0023
## Zcon Zext Zneur Zopen
## GenderMatch 0.6689 0.3029 0.1068 0.9111
## Zthghts_mean 0.0502 0.5303 0.3380 0.0123
## Zspbeh_mean 0.3887 0.3199 0.9073 0.1152
## Zgenbeh_mean 0.4091 0.8024 0.1968 0.2539
## Zthghts_andbeh 0.1574 0.4782 0.3506 0.0438
## Zother_people_mean 0.9675 0.5324 0.9102 0.7092
## Zrelationships_mean 0.2869 0.6760 0.2729 0.1016
## Zcurrent_events_mean 0.5085 0.6640 0.9223 0.5032
## Zpast_events_mean 0.2085 0.3778 0.5130 0.5047
## Zown_pers_mean 0.0079 0.3353 0.8030 0.2071
## Zall_info 0.2873 0.3472 0.5280 0.1116
## Zexpressive_mean 0.6551 0.0000 0.7561 0.0022
## Zpersonal_mean 0.2276 0.2062 0.1215 0.0663
## Zassngd_topics_mean 0.6780 0.4817 0.2379 0.9056
## Zadd_topics_mean 0.0024 0.9697 0.2496 0.2610
## Zsimilar_mean 0.6683 0.0696 0.3064 0.2056
## Zsimilar_talk_mean 0.1592 0.6559 0.5944 0.3598
## Zeye_contact_mean 0.0237 0.1011 0.8782 0.0010
## Ztempo_mean 0.5593 0.0010 0.4317 0.0656
## Zagr 0.0000 0.0248 0.0000 0.0023
## Zcon 0.0060 0.0000 0.0016
## Zext 0.0060 0.0000 0.0000
## Zneur 0.0000 0.0000 0.1578
## Zopen 0.0016 0.0000 0.1578
#no issues with traits or GenderMatch, some expected overlap with info types
#multiple regression (openness and extroversion predicting amount of general information shared)
#"all info" = thoughts, specific behavior, general behavior, other people, relationships, current events, past events, own personality
Model1 <- lm (Zall_info ~ Zopen + Zext, data = mydata)
summary(Model1)
##
## Call:
## lm(formula = Zall_info ~ Zopen + Zext, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.4682 -0.2731 0.1085 0.4314 1.3049
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.001261 0.056212 0.022 0.982
## Zopen 0.100577 0.075640 1.330 0.186
## Zext 0.023970 0.071049 0.337 0.736
##
## Residual standard error: 0.5975 on 110 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.02366, Adjusted R-squared: 0.005905
## F-statistic: 1.333 on 2 and 110 DF, p-value: 0.268
#"thoughts and behaviors info" = thoughts, specific behavior, and general behavior
Model2 <- lm (Zthghts_andbeh ~ Zopen + Zext, data = mydata)
summary(Model2)
##
## Call:
## lm(formula = Zthghts_andbeh ~ Zopen + Zext, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7949 -0.4236 0.1914 0.5519 1.2653
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.002366 0.072583 0.033 0.9741
## Zopen 0.185664 0.097670 1.901 0.0599 .
## Zext -0.009097 0.091742 -0.099 0.9212
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7715 on 110 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.0362, Adjusted R-squared: 0.01868
## F-statistic: 2.066 on 2 and 110 DF, p-value: 0.1316
#Hypothesis 1 NOT supported
#t-test (information shared by gender match)
ttest1 <- t.test (Zall_info ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest1)
##
## Welch Two Sample t-test
##
## data: Zall_info by GenderMatch
## t = 0.44078, df = 109.99, p-value = 0.6602
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.1719192 0.2702691
## sample estimates:
## mean in group 1 mean in group 2
## 0.02132366 -0.02785132
ttest2 <- t.test (Zthghts_andbeh ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest2)
##
## Welch Two Sample t-test
##
## data: Zthghts_andbeh by GenderMatch
## t = -0.34314, df = 106.6, p-value = 0.7322
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.3420675 0.2411254
## sample estimates:
## mean in group 1 mean in group 2
## -0.02188567 0.02858537
#Hypothesis 2 NOT supported
#looking at all information types predicted by all traits
#multivariate multiple regression
#bind multiple outcomes together
dependentvars <- cbind(mydata$Zthghts_mean, mydata$Zspbeh_mean, mydata$Zgenbeh_mean, mydata$Zthghts_andbeh, mydata$Zother_people_mean, mydata$Zrelationships_mean, mydata$Zcurrent_events_mean, mydata$Zpast_events_mean, mydata$Zown_pers_mean, mydata$Zexpressive_mean, mydata$Zpersonal_mean, mydata$Zadd_topics_mean, mydata$Zassngd_topics_mean, mydata$Zsimilar_mean, mydata$Zsimilar_talk_mean, mydata$Ztempo_mean, mydata$Zeye_contact_mean)
ModelAll <- lm(dependentvars ~ Zopen + Zext + Zcon + Zagr+ Zneur, data = mydata)
summary(ModelAll)
## Response Y1 :
##
## Call:
## lm(formula = Y1 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.95568 -0.63365 0.08177 0.65346 1.70552
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.0006057 0.0829557 -0.007 0.9942
## Zopen 0.1460352 0.1213654 1.203 0.2315
## Zext 0.1490314 0.1359337 1.096 0.2754
## Zcon 0.2289613 0.1320361 1.734 0.0858 .
## Zagr 0.1429150 0.1259949 1.134 0.2592
## Zneur 0.3897593 0.1518927 2.566 0.0117 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8812 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.128, Adjusted R-squared: 0.0872
## F-statistic: 3.14 on 5 and 107 DF, p-value: 0.01102
##
##
## Response Y2 :
##
## Call:
## lm(formula = Y2 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.69561 -0.58504 -0.06508 0.55926 2.08065
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0008493 0.0805092 0.011 0.992
## Zopen 0.0987091 0.1177861 0.838 0.404
## Zext 0.1146886 0.1319248 0.869 0.387
## Zcon 0.0928599 0.1281422 0.725 0.470
## Zagr 0.0002797 0.1222792 0.002 0.998
## Zneur 0.1411668 0.1474132 0.958 0.340
##
## Residual standard error: 0.8552 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.03393, Adjusted R-squared: -0.01121
## F-statistic: 0.7516 on 5 and 107 DF, p-value: 0.5867
##
##
## Response Y3 :
##
## Call:
## lm(formula = Y3 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2216 -0.6432 0.2525 0.6557 1.6871
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0001379 0.0869042 0.002 0.9987
## Zopen 0.0542411 0.1271421 0.427 0.6705
## Zext 0.1467490 0.1424039 1.031 0.3051
## Zcon 0.2082921 0.1383208 1.506 0.1350
## Zagr -0.0368480 0.1319920 -0.279 0.7807
## Zneur 0.3188988 0.1591225 2.004 0.0476 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9231 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.05792, Adjusted R-squared: 0.01389
## F-statistic: 1.316 on 5 and 107 DF, p-value: 0.2629
##
##
## Response Y4 :
##
## Call:
## lm(formula = Y4 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7925 -0.3986 0.1636 0.5585 1.2916
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0001271 0.0717854 0.002 0.9986
## Zopen 0.0996618 0.1050231 0.949 0.3448
## Zext 0.1368230 0.1176298 1.163 0.2473
## Zcon 0.1767045 0.1142570 1.547 0.1249
## Zagr 0.0354489 0.1090293 0.325 0.7457
## Zneur 0.2832750 0.1314398 2.155 0.0334 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7625 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.08408, Adjusted R-squared: 0.04128
## F-statistic: 1.965 on 5 and 107 DF, p-value: 0.08978
##
##
## Response Y5 :
##
## Call:
## lm(formula = Y5 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7897 -0.6227 -0.0700 0.7087 2.0505
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.002514 0.081468 0.031 0.975
## Zopen 0.034792 0.119189 0.292 0.771
## Zext 0.073636 0.133497 0.552 0.582
## Zcon 0.084645 0.129669 0.653 0.515
## Zagr -0.170236 0.123736 -1.376 0.172
## Zneur 0.023003 0.149169 0.154 0.878
##
## Residual standard error: 0.8654 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.02443, Adjusted R-squared: -0.02116
## F-statistic: 0.5359 on 5 and 107 DF, p-value: 0.7487
##
##
## Response Y6 :
##
## Call:
## lm(formula = Y6 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.4438 -0.6521 -0.1105 0.6101 2.6581
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.001941 0.082259 0.024 0.9812
## Zopen 0.115168 0.120346 0.957 0.3407
## Zext 0.113983 0.134792 0.846 0.3997
## Zcon 0.218867 0.130927 1.672 0.0975 .
## Zagr -0.079820 0.124937 -0.639 0.5243
## Zneur 0.264743 0.150617 1.758 0.0817 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8738 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.06853, Adjusted R-squared: 0.025
## F-statistic: 1.574 on 5 and 107 DF, p-value: 0.1735
##
##
## Response Y7 :
##
## Call:
## lm(formula = Y7 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3157 -0.5931 0.0209 0.6088 1.6103
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.003284 0.077879 0.042 0.966
## Zopen 0.116225 0.113939 1.020 0.310
## Zext -0.003200 0.127615 -0.025 0.980
## Zcon -0.028355 0.123956 -0.229 0.819
## Zagr -0.175791 0.118285 -1.486 0.140
## Zneur -0.072655 0.142598 -0.510 0.611
##
## Residual standard error: 0.8272 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.0323, Adjusted R-squared: -0.01292
## F-statistic: 0.7144 on 5 and 107 DF, p-value: 0.614
##
##
## Response Y8 :
##
## Call:
## lm(formula = Y8 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.54424 -0.53727 -0.08814 0.58503 2.24265
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.002827 0.075821 -0.037 0.970
## Zopen -0.073988 0.110927 -0.667 0.506
## Zext 0.098618 0.124243 0.794 0.429
## Zcon -0.185204 0.120680 -1.535 0.128
## Zagr 0.047426 0.115159 0.412 0.681
## Zneur -0.072149 0.138829 -0.520 0.604
##
## Residual standard error: 0.8054 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.03963, Adjusted R-squared: -0.005248
## F-statistic: 0.8831 on 5 and 107 DF, p-value: 0.4952
##
##
## Response Y9 :
##
## Call:
## lm(formula = Y9 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.85288 -0.58343 -0.00644 0.43166 2.27744
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.001657 0.082560 0.020 0.98403
## Zopen -0.012331 0.120786 -0.102 0.91888
## Zext 0.195797 0.135285 1.447 0.15074
## Zcon 0.407676 0.131406 3.102 0.00246 **
## Zagr -0.046693 0.125394 -0.372 0.71035
## Zneur 0.318576 0.151168 2.107 0.03742 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.877 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1106, Adjusted R-squared: 0.06899
## F-statistic: 2.66 on 5 and 107 DF, p-value: 0.02627
##
##
## Response Y10 :
##
## Call:
## lm(formula = Y10 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.69919 -0.44741 -0.04705 0.45721 1.37053
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.004179 0.063440 -0.066 0.94761
## Zopen 0.079110 0.092814 0.852 0.39592
## Zext 0.460953 0.103955 4.434 2.25e-05 ***
## Zcon -0.037963 0.100974 -0.376 0.70768
## Zagr 0.145494 0.096354 1.510 0.13399
## Zneur 0.327250 0.116159 2.817 0.00577 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6739 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.2294, Adjusted R-squared: 0.1934
## F-statistic: 6.37 on 5 and 107 DF, p-value: 3.236e-05
##
##
## Response Y11 :
##
## Call:
## lm(formula = Y11 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.2561 -0.5618 -0.1038 0.4645 2.7520
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.001018 0.073586 0.014 0.9890
## Zopen 0.168447 0.107658 1.565 0.1206
## Zext 0.213658 0.120581 1.772 0.0793 .
## Zcon -0.018655 0.117124 -0.159 0.8738
## Zagr -0.171173 0.111765 -1.532 0.1286
## Zneur 0.214780 0.134737 1.594 0.1139
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7816 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1243, Adjusted R-squared: 0.08335
## F-statistic: 3.037 on 5 and 107 DF, p-value: 0.01329
##
##
## Response Y12 :
##
## Call:
## lm(formula = Y12 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.5982 -0.6978 -0.1898 0.6654 2.7403
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.006956 0.085686 -0.081 0.9354
## Zopen -0.102054 0.125360 -0.814 0.4174
## Zext 0.159771 0.140408 1.138 0.2577
## Zcon -0.343260 0.136382 -2.517 0.0133 *
## Zagr 0.082993 0.130142 0.638 0.5250
## Zneur 0.089757 0.156892 0.572 0.5685
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9102 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.09399, Adjusted R-squared: 0.05166
## F-statistic: 2.22 on 5 and 107 DF, p-value: 0.05749
##
##
## Response Y13 :
##
## Call:
## lm(formula = Y13 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1155 -0.9079 -0.1741 0.8925 1.5839
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0008042 0.0942418 0.009 0.993
## Zopen 0.0076087 0.1378772 0.055 0.956
## Zext -0.0001597 0.1544275 -0.001 0.999
## Zcon 0.1739953 0.1499996 1.160 0.249
## Zagr -0.0661459 0.1431366 -0.462 0.645
## Zneur 0.1860729 0.1725577 1.078 0.283
##
## Residual standard error: 1.001 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.02559, Adjusted R-squared: -0.01994
## F-statistic: 0.5621 on 5 and 107 DF, p-value: 0.7288
##
##
## Response Y14 :
##
## Call:
## lm(formula = Y14 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.69332 -0.76039 -0.05191 0.72244 2.34332
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.003295 0.091034 -0.036 0.971
## Zopen 0.036983 0.133185 0.278 0.782
## Zext 0.197868 0.149172 1.326 0.188
## Zcon -0.110107 0.144895 -0.760 0.449
## Zagr 0.212605 0.138265 1.538 0.127
## Zneur 0.064120 0.166685 0.385 0.701
##
## Residual standard error: 0.967 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.05374, Adjusted R-squared: 0.009519
## F-statistic: 1.215 on 5 and 107 DF, p-value: 0.307
##
##
## Response Y15 :
##
## Call:
## lm(formula = Y15 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.40392 -0.67224 -0.07663 0.51706 2.44429
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.004072 0.084411 -0.048 0.9616
## Zopen -0.037817 0.123494 -0.306 0.7600
## Zext 0.168114 0.138318 1.215 0.2269
## Zcon 0.138843 0.134352 1.033 0.3037
## Zagr 0.226866 0.128205 1.770 0.0797 .
## Zneur 0.328686 0.154557 2.127 0.0357 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8966 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.07172, Adjusted R-squared: 0.02835
## F-statistic: 1.653 on 5 and 107 DF, p-value: 0.1522
##
##
## Response Y16 :
##
## Call:
## lm(formula = Y16 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.90278 -0.44779 0.06511 0.43799 1.74716
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.001809 0.068021 -0.027 0.97883
## Zopen 0.069084 0.099516 0.694 0.48906
## Zext 0.321694 0.111461 2.886 0.00472 **
## Zcon -0.121572 0.108265 -1.123 0.26399
## Zagr 0.013162 0.103312 0.127 0.89886
## Zneur 0.094878 0.124547 0.762 0.44786
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7225 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1252, Adjusted R-squared: 0.08431
## F-statistic: 3.062 on 5 and 107 DF, p-value: 0.01268
##
##
## Response Y17 :
##
## Call:
## lm(formula = Y17 ~ Zopen + Zext + Zcon + Zagr + Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.08232 -0.64473 0.01985 0.70275 1.45342
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.002531 0.079759 0.032 0.9747
## Zopen 0.227039 0.116689 1.946 0.0543 .
## Zext 0.143908 0.130696 1.101 0.2733
## Zcon 0.204917 0.126949 1.614 0.1094
## Zagr 0.049630 0.121140 0.410 0.6829
## Zneur 0.225142 0.146040 1.542 0.1261
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8472 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1293, Adjusted R-squared: 0.08863
## F-statistic: 3.178 on 5 and 107 DF, p-value: 0.01027
#Using individual models to double-check first model and organize results
Model3 <- lm(Zall_info ~ Zopen + Zext + Zcon + Zagr+ Zneur, data = mydata)
summary(Model3)
##
## Call:
## lm(formula = Zall_info ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.37944 -0.22764 0.09237 0.35536 1.35000
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0008687 0.0560180 0.016 0.988
## Zopen 0.0598565 0.0819552 0.730 0.467
## Zext 0.1111628 0.0917928 1.211 0.229
## Zcon 0.1284678 0.0891608 1.441 0.153
## Zagr -0.0398458 0.0850814 -0.468 0.641
## Zneur 0.1639178 0.1025695 1.598 0.113
##
## Residual standard error: 0.595 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.05796, Adjusted R-squared: 0.01394
## F-statistic: 1.317 on 5 and 107 DF, p-value: 0.2625
Model4 <- lm(Zthghts_andbeh ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model4)
##
## Call:
## lm(formula = Zthghts_andbeh ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7925 -0.3986 0.1636 0.5585 1.2916
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0001271 0.0717854 0.002 0.9986
## Zopen 0.0996618 0.1050231 0.949 0.3448
## Zext 0.1368230 0.1176298 1.163 0.2473
## Zcon 0.1767045 0.1142570 1.547 0.1249
## Zagr 0.0354489 0.1090293 0.325 0.7457
## Zneur 0.2832750 0.1314398 2.155 0.0334 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7625 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.08408, Adjusted R-squared: 0.04128
## F-statistic: 1.965 on 5 and 107 DF, p-value: 0.08978
#Neuroticism significant, more neurotic dyads share more thoughts and behaviors
Model5 <- lm(Zgenbeh_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model5)
##
## Call:
## lm(formula = Zgenbeh_mean ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2216 -0.6432 0.2525 0.6557 1.6871
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0001379 0.0869042 0.002 0.9987
## Zopen 0.0542411 0.1271421 0.427 0.6705
## Zext 0.1467490 0.1424039 1.031 0.3051
## Zcon 0.2082921 0.1383208 1.506 0.1350
## Zagr -0.0368480 0.1319920 -0.279 0.7807
## Zneur 0.3188988 0.1591225 2.004 0.0476 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9231 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.05792, Adjusted R-squared: 0.01389
## F-statistic: 1.316 on 5 and 107 DF, p-value: 0.2629
#Neuroticism significant, more neurotic dyads share more general behaviors
Model6 <- lm(Zspbeh_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model6)
##
## Call:
## lm(formula = Zspbeh_mean ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.69561 -0.58504 -0.06508 0.55926 2.08065
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0008493 0.0805092 0.011 0.992
## Zopen 0.0987091 0.1177861 0.838 0.404
## Zext 0.1146886 0.1319248 0.869 0.387
## Zcon 0.0928599 0.1281422 0.725 0.470
## Zagr 0.0002797 0.1222792 0.002 0.998
## Zneur 0.1411668 0.1474132 0.958 0.340
##
## Residual standard error: 0.8552 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.03393, Adjusted R-squared: -0.01121
## F-statistic: 0.7516 on 5 and 107 DF, p-value: 0.5867
Model7 <- lm(Zthghts_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model7)
##
## Call:
## lm(formula = Zthghts_mean ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.95568 -0.63365 0.08177 0.65346 1.70552
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.0006057 0.0829557 -0.007 0.9942
## Zopen 0.1460352 0.1213654 1.203 0.2315
## Zext 0.1490314 0.1359337 1.096 0.2754
## Zcon 0.2289613 0.1320361 1.734 0.0858 .
## Zagr 0.1429150 0.1259949 1.134 0.2592
## Zneur 0.3897593 0.1518927 2.566 0.0117 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8812 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.128, Adjusted R-squared: 0.0872
## F-statistic: 3.14 on 5 and 107 DF, p-value: 0.01102
#Neuroticism significant, more neurotic dyads share more thoughts, conscientiousness is marginal
Model8 <- lm(Zother_people_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model8)
##
## Call:
## lm(formula = Zother_people_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7897 -0.6227 -0.0700 0.7087 2.0505
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.002514 0.081468 0.031 0.975
## Zopen 0.034792 0.119189 0.292 0.771
## Zext 0.073636 0.133497 0.552 0.582
## Zcon 0.084645 0.129669 0.653 0.515
## Zagr -0.170236 0.123736 -1.376 0.172
## Zneur 0.023003 0.149169 0.154 0.878
##
## Residual standard error: 0.8654 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.02443, Adjusted R-squared: -0.02116
## F-statistic: 0.5359 on 5 and 107 DF, p-value: 0.7487
Model9 <- lm(Zrelationships_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model9)
##
## Call:
## lm(formula = Zrelationships_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.4438 -0.6521 -0.1105 0.6101 2.6581
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.001941 0.082259 0.024 0.9812
## Zopen 0.115168 0.120346 0.957 0.3407
## Zext 0.113983 0.134792 0.846 0.3997
## Zcon 0.218867 0.130927 1.672 0.0975 .
## Zagr -0.079820 0.124937 -0.639 0.5243
## Zneur 0.264743 0.150617 1.758 0.0817 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8738 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.06853, Adjusted R-squared: 0.025
## F-statistic: 1.574 on 5 and 107 DF, p-value: 0.1735
Model10 <- lm(Zcurrent_events_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model10)
##
## Call:
## lm(formula = Zcurrent_events_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3157 -0.5931 0.0209 0.6088 1.6103
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.003284 0.077879 0.042 0.966
## Zopen 0.116225 0.113939 1.020 0.310
## Zext -0.003200 0.127615 -0.025 0.980
## Zcon -0.028355 0.123956 -0.229 0.819
## Zagr -0.175791 0.118285 -1.486 0.140
## Zneur -0.072655 0.142598 -0.510 0.611
##
## Residual standard error: 0.8272 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.0323, Adjusted R-squared: -0.01292
## F-statistic: 0.7144 on 5 and 107 DF, p-value: 0.614
Model11 <- lm(Zpast_events_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model11)
##
## Call:
## lm(formula = Zpast_events_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.54424 -0.53727 -0.08814 0.58503 2.24265
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.002827 0.075821 -0.037 0.970
## Zopen -0.073988 0.110927 -0.667 0.506
## Zext 0.098618 0.124243 0.794 0.429
## Zcon -0.185204 0.120680 -1.535 0.128
## Zagr 0.047426 0.115159 0.412 0.681
## Zneur -0.072149 0.138829 -0.520 0.604
##
## Residual standard error: 0.8054 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.03963, Adjusted R-squared: -0.005248
## F-statistic: 0.8831 on 5 and 107 DF, p-value: 0.4952
Model12 <- lm(Zown_pers_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model12)
##
## Call:
## lm(formula = Zown_pers_mean ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.85288 -0.58343 -0.00644 0.43166 2.27744
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.001657 0.082560 0.020 0.98403
## Zopen -0.012331 0.120786 -0.102 0.91888
## Zext 0.195797 0.135285 1.447 0.15074
## Zcon 0.407676 0.131406 3.102 0.00246 **
## Zagr -0.046693 0.125394 -0.372 0.71035
## Zneur 0.318576 0.151168 2.107 0.03742 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.877 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1106, Adjusted R-squared: 0.06899
## F-statistic: 2.66 on 5 and 107 DF, p-value: 0.02627
#Conscientiousness significant, more conscientious dyads share more statements about their own personality traits
#Neuroticism significant, more neurotic dyads share more statements about their own personality traits
Model13 <- lm(Zexpressive_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model13)
##
## Call:
## lm(formula = Zexpressive_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.69919 -0.44741 -0.04705 0.45721 1.37053
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.004179 0.063440 -0.066 0.94761
## Zopen 0.079110 0.092814 0.852 0.39592
## Zext 0.460953 0.103955 4.434 2.25e-05 ***
## Zcon -0.037963 0.100974 -0.376 0.70768
## Zagr 0.145494 0.096354 1.510 0.13399
## Zneur 0.327250 0.116159 2.817 0.00577 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6739 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.2294, Adjusted R-squared: 0.1934
## F-statistic: 6.37 on 5 and 107 DF, p-value: 3.236e-05
#Extroversion significant, more extroverted dyads are more expressive
#Neuroticism significant, more neurotic dyads are more expressive
Model14 <- lm(Zpersonal_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model14)
##
## Call:
## lm(formula = Zpersonal_mean ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.2561 -0.5618 -0.1038 0.4645 2.7520
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.001018 0.073586 0.014 0.9890
## Zopen 0.168447 0.107658 1.565 0.1206
## Zext 0.213658 0.120581 1.772 0.0793 .
## Zcon -0.018655 0.117124 -0.159 0.8738
## Zagr -0.171173 0.111765 -1.532 0.1286
## Zneur 0.214780 0.134737 1.594 0.1139
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7816 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1243, Adjusted R-squared: 0.08335
## F-statistic: 3.037 on 5 and 107 DF, p-value: 0.01329
Model15 <- lm(Zassngd_topics_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model15)
##
## Call:
## lm(formula = Zassngd_topics_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1155 -0.9079 -0.1741 0.8925 1.5839
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.0008042 0.0942418 0.009 0.993
## Zopen 0.0076087 0.1378772 0.055 0.956
## Zext -0.0001597 0.1544275 -0.001 0.999
## Zcon 0.1739953 0.1499996 1.160 0.249
## Zagr -0.0661459 0.1431366 -0.462 0.645
## Zneur 0.1860729 0.1725577 1.078 0.283
##
## Residual standard error: 1.001 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.02559, Adjusted R-squared: -0.01994
## F-statistic: 0.5621 on 5 and 107 DF, p-value: 0.7288
Model16 <- lm(Zadd_topics_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model16)
##
## Call:
## lm(formula = Zadd_topics_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.5982 -0.6978 -0.1898 0.6654 2.7403
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.006956 0.085686 -0.081 0.9354
## Zopen -0.102054 0.125360 -0.814 0.4174
## Zext 0.159771 0.140408 1.138 0.2577
## Zcon -0.343260 0.136382 -2.517 0.0133 *
## Zagr 0.082993 0.130142 0.638 0.5250
## Zneur 0.089757 0.156892 0.572 0.5685
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9102 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.09399, Adjusted R-squared: 0.05166
## F-statistic: 2.22 on 5 and 107 DF, p-value: 0.05749
#Conscientiousness significant, less conscientious dyads talk about more additional (not assigned) topics
Model17 <- lm(Zsimilar_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model17)
##
## Call:
## lm(formula = Zsimilar_mean ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.69332 -0.76039 -0.05191 0.72244 2.34332
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.003295 0.091034 -0.036 0.971
## Zopen 0.036983 0.133185 0.278 0.782
## Zext 0.197868 0.149172 1.326 0.188
## Zcon -0.110107 0.144895 -0.760 0.449
## Zagr 0.212605 0.138265 1.538 0.127
## Zneur 0.064120 0.166685 0.385 0.701
##
## Residual standard error: 0.967 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.05374, Adjusted R-squared: 0.009519
## F-statistic: 1.215 on 5 and 107 DF, p-value: 0.307
Model18 <- lm(Zsimilar_talk_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model18)
##
## Call:
## lm(formula = Zsimilar_talk_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.40392 -0.67224 -0.07663 0.51706 2.44429
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.004072 0.084411 -0.048 0.9616
## Zopen -0.037817 0.123494 -0.306 0.7600
## Zext 0.168114 0.138318 1.215 0.2269
## Zcon 0.138843 0.134352 1.033 0.3037
## Zagr 0.226866 0.128205 1.770 0.0797 .
## Zneur 0.328686 0.154557 2.127 0.0357 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8966 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.07172, Adjusted R-squared: 0.02835
## F-statistic: 1.653 on 5 and 107 DF, p-value: 0.1522
#Neuroticism significant, more neurotic dyads talk more about how similar they were to each other
Model19 <- lm(Zeye_contact_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model19)
##
## Call:
## lm(formula = Zeye_contact_mean ~ Zopen + Zext + Zcon + Zagr +
## Zneur, data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.08232 -0.64473 0.01985 0.70275 1.45342
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.002531 0.079759 0.032 0.9747
## Zopen 0.227039 0.116689 1.946 0.0543 .
## Zext 0.143908 0.130696 1.101 0.2733
## Zcon 0.204917 0.126949 1.614 0.1094
## Zagr 0.049630 0.121140 0.410 0.6829
## Zneur 0.225142 0.146040 1.542 0.1261
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8472 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1293, Adjusted R-squared: 0.08863
## F-statistic: 3.178 on 5 and 107 DF, p-value: 0.01027
Model20 <- lm(Ztempo_mean ~ Zopen +Zext +Zcon +Zagr +Zneur, data = mydata)
summary(Model20)
##
## Call:
## lm(formula = Ztempo_mean ~ Zopen + Zext + Zcon + Zagr + Zneur,
## data = mydata)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.90278 -0.44779 0.06511 0.43799 1.74716
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -0.001809 0.068021 -0.027 0.97883
## Zopen 0.069084 0.099516 0.694 0.48906
## Zext 0.321694 0.111461 2.886 0.00472 **
## Zcon -0.121572 0.108265 -1.123 0.26399
## Zagr 0.013162 0.103312 0.127 0.89886
## Zneur 0.094878 0.124547 0.762 0.44786
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7225 on 107 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.1252, Adjusted R-squared: 0.08431
## F-statistic: 3.062 on 5 and 107 DF, p-value: 0.01268
#Extroversion significant, more extroverted dyads behaved more quickly
dependentvars <- cbind(mydata$Zgenbeh_mean, mydata$Zspbeh_mean, mydata$Zthghts_mean, mydata$Zother_people_mean, mydata$Zrelationships_mean, mydata$Zcurrent_events_mean, mydata$Zpast_events_mean, mydata$Zown_pers_mean, mydata$Zexpressive_mean, mydata$Zpersonal_mean, mydata$Zadd_topics_mean, mydata$Zassngd_topics_mean, mydata$Zsimilar_mean, mydata$Zsimilar_talk_mean, mydata$Ztempo_mean, mydata$Zeye_contact_mean)
independentvar <- mydata$GenderMatch
manova_model <- manova(dependentvars ~ independentvar, data = mydata)
summary(manova_model)
## Df Pillai approx F num Df den Df Pr(>F)
## independentvar 1 0.15535 1.1035 16 96 0.3629
## Residuals 111
#Not significant, so we will officially stop here, but Jacob had already whipped up all this fun code, so here it is just for fun
#No significant gender dyad trends, one sig t-test
ttest3 <- t.test (Zgenbeh_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest3)
##
## Welch Two Sample t-test
##
## data: Zgenbeh_mean by GenderMatch
## t = 0.35568, df = 103.78, p-value = 0.7228
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.2880366 0.4139419
## sample estimates:
## mean in group 1 mean in group 2
## 0.02729805 -0.03565459
ttest4 <- t.test (Zspbeh_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest4)
##
## Welch Two Sample t-test
##
## data: Zspbeh_mean by GenderMatch
## t = -0.46054, df = 100.08, p-value = 0.6461
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.3992550 0.2488169
## sample estimates:
## mean in group 1 mean in group 2
## -0.03261710 0.04260193
ttest5 <- t.test (Zthghts_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest5)
##
## Welch Two Sample t-test
##
## data: Zthghts_mean by GenderMatch
## t = -0.79704, df = 105.1, p-value = 0.4272
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.4853014 0.2070080
## sample estimates:
## mean in group 1 mean in group 2
## -0.06033795 0.07880876
ttest6 <- t.test (Zother_people_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest6)
##
## Welch Two Sample t-test
##
## data: Zother_people_mean by GenderMatch
## t = 2.2079, df = 103.42, p-value = 0.02946
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## 0.03591046 0.66982689
## sample estimates:
## mean in group 1 mean in group 2
## 0.1530139 -0.1998548
#sig difference, match-gender dyads talk more about other people they know than mix-gender dyads
ttest7 <- t.test (Zrelationships_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest7)
##
## Welch Two Sample t-test
##
## data: Zrelationships_mean by GenderMatch
## t = 1.2866, df = 110.79, p-value = 0.2009
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.1130385 0.5315404
## sample estimates:
## mean in group 1 mean in group 2
## 0.09073714 -0.11851382
ttest8 <- t.test (Zcurrent_events_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest8)
##
## Welch Two Sample t-test
##
## data: Zcurrent_events_mean by GenderMatch
## t = -0.42679, df = 104.21, p-value = 0.6704
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.3766027 0.2432044
## sample estimates:
## mean in group 1 mean in group 2
## -0.02892263 0.03777650
ttest9 <- t.test (Zpast_events_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest9)
##
## Welch Two Sample t-test
##
## data: Zpast_events_mean by GenderMatch
## t = 0.48631, df = 109, p-value = 0.6277
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.2247919 0.3709735
## sample estimates:
## mean in group 1 mean in group 2
## 0.03169423 -0.04139655
ttest10 <- t.test (Zown_pers_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest10)
##
## Welch Two Sample t-test
##
## data: Zown_pers_mean by GenderMatch
## t = -0.13783, df = 106.22, p-value = 0.8906
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.3645775 0.3171809
## sample estimates:
## mean in group 1 mean in group 2
## -0.01027627 0.01342207
ttest11 <- t.test (Zexpressive_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest11)
##
## Welch Two Sample t-test
##
## data: Zexpressive_mean by GenderMatch
## t = 0.27876, df = 101.22, p-value = 0.781
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.2451754 0.3253479
## sample estimates:
## mean in group 1 mean in group 2
## 0.01738252 -0.02270369
ttest12 <- t.test (Zpersonal_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest12)
##
## Welch Two Sample t-test
##
## data: Zpersonal_mean by GenderMatch
## t = 0.88412, df = 104.62, p-value = 0.3787
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.1699180 0.4433621
## sample estimates:
## mean in group 1 mean in group 2
## 0.05928656 -0.07743551
ttest13 <- t.test (Zadd_topics_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest13)
##
## Welch Two Sample t-test
##
## data: Zadd_topics_mean by GenderMatch
## t = 0.62367, df = 106.98, p-value = 0.5342
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.2392680 0.4589206
## sample estimates:
## mean in group 1 mean in group 2
## 0.04762379 -0.06220250
ttest14 <- t.test (Zassngd_topics_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest14)
##
## Welch Two Sample t-test
##
## data: Zassngd_topics_mean by GenderMatch
## t = -0.12325, df = 106.58, p-value = 0.9021
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.3944177 0.3482477
## sample estimates:
## mean in group 1 mean in group 2
## -0.01001031 0.01307469
ttest15 <- t.test (Zsimilar_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest15)
##
## Welch Two Sample t-test
##
## data: Zsimilar_mean by GenderMatch
## t = 1.0569, df = 100.61, p-value = 0.2931
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.1720570 0.5643853
## sample estimates:
## mean in group 1 mean in group 2
## 0.08506233 -0.11110182
ttest16 <- t.test (Zsimilar_talk_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest16)
##
## Welch Two Sample t-test
##
## data: Zsimilar_talk_mean by GenderMatch
## t = 1.6588, df = 104.86, p-value = 0.1001
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.05530581 0.62162401
## sample estimates:
## mean in group 1 mean in group 2
## 0.1227858 -0.1603733
ttest17 <- t.test (Ztempo_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest17)
##
## Welch Two Sample t-test
##
## data: Ztempo_mean by GenderMatch
## t = -0.25994, df = 97.631, p-value = 0.7955
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.3274879 0.2516326
## sample estimates:
## mean in group 1 mean in group 2
## -0.01644650 0.02148115
ttest18 <- t.test (Zeye_contact_mean ~ GenderMatch, data =mydata, paired = FALSE)
print(ttest18)
##
## Welch Two Sample t-test
##
## data: Zeye_contact_mean by GenderMatch
## t = 0.51746, df = 101.13, p-value = 0.606
## alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
## 95 percent confidence interval:
## -0.2492332 0.4251488
## sample estimates:
## mean in group 1 mean in group 2
## 0.03814099 -0.04981681