OCEAN
Description of variables
This data was collected (c. 2012) through on interactive online personality test. Participants were informed that their responses would be recorded and used for research at the begining of the test and asked to confirm their consent at the end of the test.
The following items were rated on a five point scale where 1=Disagree, 3=Neutral, 5=Agree (0=missed). All were presented on one page in the order E1, N2, A1, C1, O1, E2……
E1 I am the life of the party.
E2 I don’t talk a lot.
E3 I feel comfortable around people.
E4 I keep in the background.
E5 I start conversations.
E6 I have little to say.
E7 I talk to a lot of different people at parties.
E8 I don’t like to draw attention to myself.
E9 I don’t mind being the center of attention.
E10 I am quiet around strangers.
N1 I get stressed out easily.
N2 I am relaxed most of the time.
N3 I worry about things.
N4 I seldom feel blue.
N5 I am easily disturbed.
N6 I get upset easily.
N7 I change my mood a lot.
N8 I have frequent mood swings.
N9 I get irritated easily.
N10 I often feel blue.
A1 I feel little concern for others.
A2 I am interested in people.
A3 I insult people.
A4 I sympathize with others’ feelings.
A5 I am not interested in other people’s problems.
A6 I have a soft heart.
A7 I am not really interested in others.
A8 I take time out for others.
A9 I feel others’ emotions.
A10 I make people feel at ease.
C1 I am always prepared.
C2 I leave my belongings around.
C3 I pay attention to details.
C4 I make a mess of things.
C5 I get chores done right away.
C6 I often forget to put things back in their proper place.
C7 I like order.
C8 I shirk my duties.
C9 I follow a schedule.
C10 I am exacting in my work.
O1 I have a rich vocabulary.
O2 I have difficulty understanding abstract ideas.
O3 I have a vivid imagination.
O4 I am not interested in abstract ideas.
O5 I have excellent ideas.
O6 I do not have a good imagination.
O7 I am quick to understand things.
O8 I use difficult words.
O9 I spend time reflecting on things.
O10 I am full of ideas.
On the next page the following values were collected.
race Chosen from a drop down menu. 1=Mixed Race, 2=Arctic (Siberian, Eskimo), 3=Caucasian (European), 4=Caucasian (Indian), 5=Caucasian (Middle East), 6=Caucasian (North African, Other), 7=Indigenous Australian, 8=Native American, 9=North East Asian (Mongol, Tibetan, Korean Japanese, etc), 10=Pacific (Polynesian, Micronesian, etc), 11=South East Asian (Chinese, Thai, Malay, Filipino, etc), 12=West African, Bushmen, Ethiopian, 13=Other (0=missed) age entered as text (individuals reporting age < 13 were not recorded) engnat Response to “is English your native language?”. 1=yes, 2=no (0=missed) gender Chosen from a drop down menu. 1=Male, 2=Female, 3=Other (0=missed) hand “What hand do you use to write with?”. 1=Right, 2=Left, 3=Both (0=missed)
On this page users were also asked to confirm that their answers were accurate and could be used for research. Participants who did not were not recorded).
Some values were calculated from technical information.
country The participant’s technical location. ISO country code. source How the participant came to the test. Based on HTTP Referer. 1=from another page on the test website, 2=from google, 3=from facebook, 4=from any url with “.edu” in its domain name (e.g. xxx.edu, xxx.edu.au), 6=other source, or HTTP Referer not provided.
Descriprion of reponse data
data(df_ocean)
df_ocean[df_ocean==0]<-NA
cdf(df_ocean)## $summary ## COLLUMNS ROWS TOTAL EMPTY null NAN na INF FIN FACTOR ## 1 57 19719 1123983 1 0 0 405 0 1103867 0 ## ## $check ## NAMES EMPTY null na NOT_NA NAN INF FIN RANGE MEAN MEDIAN SD MIN MAX MODE TYPE CLASS FACTOR ## 1 race 0 0 153 19566 0 0 19566 14 5.37 3 4.01 1 13 numeric integer integer FALSE ## 2 age 0 0 0 19719 0 0 19719 104 50767.03 22 7121272 13 999999999 numeric integer integer FALSE ## 3 engnat 0 0 70 19649 0 0 19649 3 1.37 1 0.48 1 2 numeric integer integer FALSE ## 4 gender 0 0 24 19695 0 0 19695 4 1.62 2 0.5 1 3 numeric integer integer FALSE ## 5 hand 0 0 100 19619 0 0 19619 4 1.14 1 0.41 1 3 numeric integer integer FALSE ## 6 source 0 0 0 19719 0 0 19719 5 1.95 1 1.5 1 5 numeric integer integer FALSE ## 7 country 1 0 8 19711 0 0 0 160 NA NA NA ZW character character character FALSE ## 8 E1 0 0 1 19718 0 0 19718 6 2.63 3 1.23 1 5 numeric integer integer FALSE ## 9 E2 0 0 1 19718 0 0 19718 6 2.76 3 1.31 1 5 numeric integer integer FALSE ## 10 E3 0 0 1 19718 0 0 19718 6 3.42 4 1.24 1 5 numeric integer integer FALSE ## 11 E4 0 0 1 19718 0 0 19718 6 3.15 3 1.22 1 5 numeric integer integer FALSE ## 12 E5 0 0 1 19718 0 0 19718 6 3.43 4 1.28 1 5 numeric integer integer FALSE ## 13 E6 0 0 1 19718 0 0 19718 6 2.45 2 1.24 1 5 numeric integer integer FALSE ## 14 E7 0 0 1 19718 0 0 19718 6 2.87 3 1.43 1 5 numeric integer integer FALSE ## 15 E8 0 0 1 19718 0 0 19718 6 3.38 3 1.27 1 5 numeric integer integer FALSE ## 16 E9 0 0 1 19718 0 0 19718 6 3.09 3 1.4 1 5 numeric integer integer FALSE ## 17 E10 0 0 1 19718 0 0 19718 6 3.59 4 1.3 1 5 numeric integer integer FALSE ## 18 N1 0 0 1 19718 0 0 19718 6 3.26 3 1.31 1 5 numeric integer integer FALSE ## 19 N2 0 0 1 19718 0 0 19718 6 3.23 3 1.18 1 5 numeric integer integer FALSE ## 20 N3 0 0 1 19718 0 0 19718 6 3.84 4 1.14 1 5 numeric integer integer FALSE ## 21 N4 0 0 1 19718 0 0 19718 6 2.76 3 1.22 1 5 numeric integer integer FALSE ## 22 N5 0 0 1 19718 0 0 19718 6 2.95 3 1.27 1 5 numeric integer integer FALSE ## 23 N6 0 0 1 19718 0 0 19718 6 2.98 3 1.32 1 5 numeric integer integer FALSE ## 24 N7 0 0 1 19718 0 0 19718 6 3.15 3 1.3 1 5 numeric integer integer FALSE ## 25 N8 0 0 1 19718 0 0 19718 6 2.8 3 1.35 1 5 numeric integer integer FALSE ## 26 N9 0 0 1 19718 0 0 19718 6 3.14 3 1.3 1 5 numeric integer integer FALSE ## 27 N10 0 0 1 19718 0 0 19718 6 2.83 3 1.31 1 5 numeric integer integer FALSE ## 28 A1 0 0 1 19718 0 0 19718 6 2.31 2 1.37 1 5 numeric integer integer FALSE ## 29 A2 0 0 1 19718 0 0 19718 6 3.93 4 1.08 1 5 numeric integer integer FALSE ## 30 A3 0 0 1 19718 0 0 19718 6 2.16 2 1.22 1 5 numeric integer integer FALSE ## 31 A4 0 0 1 19718 0 0 19718 6 4.03 4 1.05 1 5 numeric integer integer FALSE ## 32 A5 0 0 1 19718 0 0 19718 6 2.17 2 1.14 1 5 numeric integer integer FALSE ## 33 A6 0 0 1 19718 0 0 19718 6 3.9 4 1.13 1 5 numeric integer integer FALSE ## 34 A7 0 0 1 19718 0 0 19718 6 2.16 2 1.13 1 5 numeric integer integer FALSE ## 35 A8 0 0 1 19718 0 0 19718 6 3.77 4 1.04 1 5 numeric integer integer FALSE ## 36 A9 0 0 1 19718 0 0 19718 6 3.94 4 1.09 1 5 numeric integer integer FALSE ## 37 A10 0 0 1 19718 0 0 19718 6 3.68 4 1.05 1 5 numeric integer integer FALSE ## 38 C1 0 0 1 19718 0 0 19718 6 3.32 3 1.1 1 5 numeric integer integer FALSE ## 39 C2 0 0 1 19718 0 0 19718 6 2.98 3 1.37 1 5 numeric integer integer FALSE ## 40 C3 0 0 1 19718 0 0 19718 6 3.98 4 1 1 5 numeric integer integer FALSE ## 41 C4 0 0 1 19718 0 0 19718 6 2.65 3 1.24 1 5 numeric integer integer FALSE ## 42 C5 0 0 1 19718 0 0 19718 6 2.7 3 1.25 1 5 numeric integer integer FALSE ## 43 C6 0 0 1 19718 0 0 19718 6 2.92 3 1.4 1 5 numeric integer integer FALSE ## 44 C7 0 0 1 19718 0 0 19718 6 3.65 4 1.15 1 5 numeric integer integer FALSE ## 45 C8 0 0 1 19718 0 0 19718 6 2.48 2 1.13 1 5 numeric integer integer FALSE ## 46 C9 0 0 1 19718 0 0 19718 6 3.22 3 1.25 1 5 numeric integer integer FALSE ## 47 C10 0 0 1 19718 0 0 19718 6 3.64 4 1.01 1 5 numeric integer integer FALSE ## 48 O1 0 0 1 19718 0 0 19718 6 3.69 4 1.12 1 5 numeric integer integer FALSE ## 49 O2 0 0 1 19718 0 0 19718 6 2.15 2 1.14 1 5 numeric integer integer FALSE ## 50 O3 0 0 1 19718 0 0 19718 6 4.13 4 1.01 1 5 numeric integer integer FALSE ## 51 O4 0 0 1 19718 0 0 19718 6 2.08 2 1.11 1 5 numeric integer integer FALSE ## 52 O5 0 0 1 19718 0 0 19718 6 3.87 4 0.94 1 5 numeric integer integer FALSE ## 53 O6 0 0 1 19718 0 0 19718 6 1.79 1 1.07 1 5 numeric integer integer FALSE ## 54 O7 0 0 1 19718 0 0 19718 6 4.07 4 0.92 1 5 numeric integer integer FALSE ## 55 O8 0 0 1 19718 0 0 19718 6 3.21 3 1.26 1 5 numeric integer integer FALSE ## 56 O9 0 0 1 19718 0 0 19718 6 4.13 4 0.98 1 5 numeric integer integer FALSE ## 57 O10 0 0 1 19718 0 0 19718 6 4 4 0.98 1 5 numeric integer integer FALSE
Reverse data
key<-list(O=grep("O",names(df_ocean),value=TRUE),
C=grep("C",names(df_ocean),value=TRUE),
E=grep("E",names(df_ocean),value=TRUE),
A=grep("A",names(df_ocean),value=TRUE),
N=grep("N",names(df_ocean),value=TRUE))
reverse<-list(O=c(1,-1,1,-1,1,-1,1,1,1,1),
C=c(1,-1,1,-1,1,-1,1,-1,1,1),
E=c(1,-1,1,-1,1,-1,1,-1,1,-1),
A=c(-1,1,-1,1,-1,1,-1,1,1,1),
N=c(1,-1,1,-1,1,1,1,1,1,1))
df_ocean_reversed<-psych::reverse.code(as.numeric(as.character(unlist(reverse))),
df_ocean[,as.character(unlist(key))],
mini=1,maxi=5)
df_ocean_reversed<-data.frame(df_ocean_reversed)Correlations
plot_corrplot(mydata=stats::cor(df_ocean_reversed[,grep("O",names(df_ocean_reversed))],use="pairwise"),base_size=20,title="Openness")
plot_corrplot(mydata=stats::cor(df_ocean_reversed[,grep("C",names(df_ocean_reversed))],use="pairwise"),base_size=20,title="Conscientiousness")
plot_corrplot(mydata=stats::cor(df_ocean_reversed[,grep("E",names(df_ocean_reversed))],use="pairwise"),base_size=20,title="Extraversion")
plot_corrplot(mydata=stats::cor(df_ocean_reversed[,grep("A",names(df_ocean_reversed))],use="pairwise"),base_size=20,title="Agreeableness")
plot_corrplot(mydata=stats::cor(df_ocean_reversed[,grep("N",names(df_ocean_reversed))],use="pairwise"),base_size=20,title="Neuroticism")
Alpha
key_reversed<-list(O=grep("O",names(df_ocean_reversed),value=TRUE),
C=grep("C",names(df_ocean_reversed),value=TRUE),
E=grep("E",names(df_ocean_reversed),value=TRUE),
A=grep("A",names(df_ocean_reversed),value=TRUE),
N=grep("N",names(df_ocean_reversed),value=TRUE))
report_alpha(df=df_ocean_reversed,key=key_reversed,n.iter=10,check.keys=TRUE,file=NULL)## | | | 0% | |============================================================================================================================================================================================================================================================================================================================================================================================================ | 40% | |================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== | 60% | |======================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== | 80% | |==============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================| 100%
## $result_total ## dimension items kaiser_criterion raw_alpha std_alpha g6(smc) average_r s/n ase mean sd median_r boot_ci_2_5% boot_ci_50% boot_ci_97_5% alpha_criterion ## 1 O 10 3 0.7938725 0.7953922 0.8171945 0.2799227 3.887398 0.002186173 3.908819 0.6255063 0.2697135 0.7908407 0.7931738 0.7977037 Good and Acceptable ## 2 C 10 2 0.8127200 0.8116645 0.8086527 0.3011721 4.309675 0.001958477 3.347343 0.7306384 0.3056420 0.8088027 0.8127603 0.8150375 Good ## 3 E 10 1 0.8922443 0.8925671 0.8920108 0.4537948 8.308138 0.001141562 3.011330 0.9223427 0.4553453 0.8908570 0.8921685 0.8934547 Good ## 4 A 10 2 0.8319375 0.8374922 0.8400090 0.3400886 5.153550 0.001786651 3.844553 0.7145284 0.3289224 0.8286793 0.8312371 0.8342577 Good ## 5 N 10 2 0.8691537 0.8676366 0.8743258 0.3959514 6.554959 0.001370113 3.097114 0.8616765 0.3930809 0.8675115 0.8693700 0.8709385 Good ## ## $result_boot ## dimension items kaiser_criterion raw_alpha std_alpha g6(smc) average_r s/n ase unidim goodfit var_r median_r ## 1 O 10 3 0.7907072 0.7921936 0.8149212 0.2760009 3.812172 0.09717297 0.6385337 0.9725229 0.015146340 0.2672790 ## 2 O 10 3 0.7932559 0.7944832 0.8156204 0.2788002 3.865782 0.09457990 0.6451341 0.9732550 0.014617963 0.2681122 ## 3 O 10 3 0.7928409 0.7946531 0.8166335 0.2790095 3.869808 0.09526797 0.6450606 0.9729860 0.014760501 0.2683164 ## 4 O 10 3 0.7978379 0.7995706 0.8209995 0.2851673 3.989288 0.09084060 0.6558375 0.9725705 0.014738906 0.2710380 ## 5 O 10 3 0.7956485 0.7974378 0.8179333 0.2824728 3.936755 0.09282356 0.6525052 0.9735347 0.014314043 0.2692998 ## 6 O 10 3 0.7925492 0.7939810 0.8160604 0.2781827 3.853922 0.09546176 0.6422910 0.9722942 0.015184059 0.2625711 ## 7 O 10 3 0.7930917 0.7946501 0.8170146 0.2790058 3.869736 0.09481531 0.6435167 0.9721022 0.015257427 0.2595415 ## 8 O 10 3 0.7913008 0.7930551 0.8152424 0.2770494 3.832204 0.09673976 0.6420628 0.9733961 0.014609394 0.2616272 ## 9 O 10 3 0.7950622 0.7964074 0.8179188 0.2811841 3.911769 0.09305325 0.6483357 0.9725155 0.014934332 0.2706000 ## 10 O 10 3 0.7972416 0.7986872 0.8207496 0.2840468 3.967394 0.09125191 0.6527208 0.9719616 0.015122842 0.2747700 ## 11 C 10 2 0.8140051 0.8131120 0.8100855 0.3031747 4.350798 0.07465801 0.7115244 0.9868146 0.006635368 0.3026535 ## 12 C 10 2 0.8136142 0.8125655 0.8094734 0.3024163 4.335197 0.07495441 0.7106074 0.9870070 0.006551511 0.3066363 ## 13 C 10 2 0.8114735 0.8105315 0.8073748 0.2996179 4.277921 0.07673485 0.7060766 0.9870616 0.006576089 0.3032874 ## 14 C 10 2 0.8080273 0.8070711 0.8041061 0.2949433 4.183256 0.07962071 0.6980435 0.9869605 0.006716882 0.2965028 ## 15 C 10 2 0.8118636 0.8105236 0.8072963 0.2996073 4.277703 0.07615424 0.7053906 0.9866717 0.006777139 0.2982186 ## 16 C 10 2 0.8153372 0.8141432 0.8112343 0.3046133 4.380487 0.07336313 0.7130353 0.9863179 0.006860406 0.3081771 ## 17 C 10 2 0.8129292 0.8117323 0.8095714 0.3012654 4.311585 0.07539243 0.7065728 0.9857499 0.007218303 0.3034677 ## 18 C 10 2 0.8136231 0.8125588 0.8095348 0.3024071 4.335008 0.07485073 0.7098669 0.9865798 0.006770045 0.3080061 ## 19 C 10 2 0.8125915 0.8114097 0.8084273 0.3008215 4.302499 0.07570128 0.7071759 0.9865362 0.006823214 0.3033313 ## 20 C 10 2 0.8115620 0.8105011 0.8078170 0.2995764 4.277076 0.07653340 0.7048283 0.9863733 0.006931569 0.2995023 ## 21 E 10 1 0.8919856 0.8922827 0.8912758 0.4530605 8.283558 0.02581670 0.8787110 0.9808403 0.005976242 0.4583730 ## 22 E 10 1 0.8923922 0.8928014 0.8922717 0.4544009 8.328477 0.02567043 0.8792385 0.9802349 0.006138698 0.4579077 ## 23 E 10 1 0.8908509 0.8910712 0.8904913 0.4499542 8.180305 0.02633615 0.8754681 0.9799015 0.006346555 0.4572293 ## 24 E 10 1 0.8923687 0.8927514 0.8921784 0.4542715 8.324131 0.02566757 0.8796381 0.9808282 0.005953658 0.4568492 ## 25 E 10 1 0.8937364 0.8940297 0.8934219 0.4576008 8.436604 0.02497111 0.8815882 0.9801092 0.006106254 0.4585603 ## 26 E 10 1 0.8924844 0.8927778 0.8920242 0.4543399 8.326428 0.02556764 0.8787923 0.9797611 0.006290280 0.4579627 ## 27 E 10 1 0.8923514 0.8926833 0.8917579 0.4540952 8.318211 0.02563213 0.8795665 0.9809046 0.005933277 0.4609040 ## 28 E 10 1 0.8908779 0.8912230 0.8909698 0.4503417 8.193119 0.02634220 0.8751582 0.9791843 0.006568587 0.4523076 ## 29 E 10 1 0.8914437 0.8917438 0.8908566 0.4516746 8.237344 0.02610138 0.8777093 0.9809324 0.005977139 0.4607902 ## 30 E 10 1 0.8917524 0.8920802 0.8918616 0.4525389 8.266139 0.02593450 0.8771235 0.9794506 0.006431066 0.4609480 ## 31 A 10 2 0.8334949 0.8386008 0.8410356 0.3419243 5.195819 0.06162526 0.7447059 0.9696488 0.013863516 0.3317486 ## 32 A 10 2 0.8310657 0.8364893 0.8392752 0.3384409 5.115807 0.06347144 0.7407421 0.9704446 0.013632107 0.3287071 ## 33 A 10 2 0.8308163 0.8364134 0.8386151 0.3383167 5.112971 0.06382917 0.7431979 0.9722727 0.012769649 0.3318353 ## 34 A 10 2 0.8314085 0.8368511 0.8392756 0.3390340 5.129372 0.06326819 0.7423899 0.9709832 0.013352279 0.3279610 ## 35 A 10 2 0.8297797 0.8360046 0.8388155 0.3376488 5.097730 0.06470572 0.7401365 0.9708352 0.013478776 0.3290996 ## 36 A 10 2 0.8344792 0.8400688 0.8423793 0.3443778 5.252687 0.06108920 0.7504569 0.9712114 0.013030886 0.3326533 ## 37 A 10 2 0.8283598 0.8341630 0.8368182 0.3346648 5.030019 0.06566949 0.7359721 0.9710235 0.013510046 0.3225082 ## 38 A 10 2 0.8334204 0.8390085 0.8418987 0.3426029 5.211507 0.06181675 0.7452287 0.9693217 0.013988753 0.3343587 ## 39 A 10 2 0.8332681 0.8386752 0.8411681 0.3420479 5.198675 0.06192241 0.7469614 0.9711094 0.013171550 0.3276941 ## 40 A 10 2 0.8306588 0.8364843 0.8386774 0.3384327 5.115620 0.06402493 0.7436973 0.9725007 0.012657279 0.3286805 ## 41 N 10 2 0.8700612 0.8685201 0.8755686 0.3977981 6.605725 0.03646159 0.8049348 0.9597325 0.015561385 0.3966172 ## 42 N 10 2 0.8708045 0.8693150 0.8758330 0.3994710 6.651985 0.03607624 0.8085309 0.9612390 0.014872751 0.3940583 ## 43 N 10 2 0.8689780 0.8673898 0.8742796 0.3954379 6.540899 0.03713563 0.8040086 0.9613523 0.015027351 0.3928597 ## 44 N 10 2 0.8703777 0.8688668 0.8759205 0.3985264 6.625834 0.03635807 0.8077625 0.9615200 0.014807073 0.3951705 ## 45 N 10 2 0.8687461 0.8672408 0.8741429 0.3951284 6.532434 0.03728984 0.8057249 0.9631916 0.014299499 0.3979500 ## 46 N 10 2 0.8681761 0.8666019 0.8733903 0.3938057 6.496360 0.03758162 0.8033606 0.9624615 0.014658089 0.3925422 ## 47 N 10 2 0.8697620 0.8683054 0.8749389 0.3973481 6.593328 0.03674951 0.8082735 0.9631880 0.014196186 0.3955007 ## 48 N 10 2 0.8709775 0.8694584 0.8755667 0.3997741 6.660394 0.03597193 0.8099307 0.9621927 0.014477802 0.3927170 ## 49 N 10 2 0.8689306 0.8674972 0.8746020 0.3956611 6.547008 0.03723020 0.8059694 0.9628626 0.014406799 0.3936732 ## 50 N 10 2 0.8673186 0.8658997 0.8727136 0.3923598 6.457107 0.03814188 0.8023445 0.9630546 0.014486470 0.3927999 ## ## $result_item_statistics ## dimension question raw_alpha n raw_r std_r r_cor r_drop mean sd 1 2 3 4 5 miss ## 1 O O1 0.7938725 19718 0.6559971 0.6391543 0.6060233 0.5347017 3.692667 1.1160205 0.04518714 0.10325591 0.2427224 0.3313724 0.27746222 5.071251e-05 ## 2 O O2. 0.7938725 19718 0.6427765 0.6319912 0.5849747 0.5158658 3.850238 1.1351524 0.04183994 0.09498935 0.1943402 0.3087534 0.36007709 5.071251e-05 ## 3 O O3 0.7938725 19718 0.5849892 0.5933999 0.5348479 0.4633758 4.126331 1.0064031 0.02135105 0.05609088 0.1548331 0.3103256 0.45739933 5.071251e-05 ## 4 O O4. 0.7938725 19718 0.5763731 0.5654913 0.4995420 0.4387260 3.920479 1.1096800 0.03955776 0.07105183 0.2080840 0.2919667 0.38933969 5.071251e-05 ## 5 O O5 0.7938725 19718 0.6209467 0.6412560 0.6041627 0.5148760 3.873212 0.9392737 0.01683741 0.05299726 0.2525104 0.3954255 0.28222944 5.071251e-05 ## 6 O O6. 0.7938725 19718 0.5832853 0.5882859 0.5304982 0.4527688 4.205143 1.0684633 0.03585556 0.05583731 0.1066031 0.2707171 0.53098692 5.071251e-05 ## 7 O O7 0.7938725 19718 0.5465368 0.5618383 0.4825747 0.4300845 4.073182 0.9231625 0.01450451 0.04574500 0.1679176 0.3957298 0.37610305 5.071251e-05 ## 8 O O8 0.7938725 19718 0.6112438 0.5836793 0.5371949 0.4599900 3.208185 1.2587453 0.11674612 0.18384217 0.2495689 0.2741657 0.17567705 5.071251e-05 ## 9 O O9 0.7938725 19718 0.4161811 0.4241486 0.2998522 0.2740574 4.133786 0.9824517 0.02043818 0.05391013 0.1402779 0.3421747 0.44319911 5.071251e-05 ## 10 O O10 0.7938725 19718 0.6871522 0.7031278 0.6831235 0.5893142 4.004970 0.9833403 0.01567096 0.06085810 0.2043818 0.3410082 0.37808094 5.071251e-05 ## 11 C C1 0.8127200 19718 0.6421598 0.6553533 0.6039391 0.5399037 3.318643 1.0993404 0.06379957 0.16720763 0.2926260 0.3392839 0.13708287 5.071251e-05 ## 12 C C2. 0.8127200 19718 0.6172622 0.5891565 0.5308028 0.4797170 3.021047 1.3671359 0.16370829 0.24206309 0.1946952 0.2085404 0.19099300 5.071251e-05 ## 13 C C3 0.8127200 19718 0.4711176 0.5005478 0.4059000 0.3540150 3.983213 1.0026451 0.02018460 0.07196470 0.1741556 0.3718430 0.36185211 5.071251e-05 ## 14 C C4. 0.8127200 19718 0.6585438 0.6476190 0.5986973 0.5444046 3.345623 1.2430785 0.09174358 0.17522061 0.2377523 0.2862359 0.20904757 5.071251e-05 ## 15 C C5 0.8127200 19718 0.6728046 0.6652709 0.6181025 0.5613170 2.700527 1.2495699 0.20625824 0.25854549 0.2615377 0.1757278 0.09793082 5.071251e-05 ## 16 C C6. 0.8127200 19718 0.6834222 0.6566713 0.6173235 0.5588192 3.076985 1.3991269 0.17096054 0.22355208 0.1697941 0.2289279 0.20676539 5.071251e-05 ## 17 C C7 0.8127200 19718 0.5770458 0.5832318 0.5089756 0.4567338 3.646871 1.1524765 0.05817020 0.10634953 0.2349123 0.3315752 0.26899280 5.071251e-05 ## 18 C C8. 0.8127200 19718 0.5802244 0.5859074 0.5140690 0.4627751 3.518511 1.1328265 0.04919363 0.12805558 0.3189472 0.2626534 0.24115022 5.071251e-05 ## 19 C C9 0.8127200 19718 0.6547736 0.6541383 0.6056155 0.5394494 3.224617 1.2460654 0.10797241 0.18962369 0.2478953 0.2788315 0.17567705 5.071251e-05 ## 20 C C10 0.8127200 19718 0.5239638 0.5535313 0.4742981 0.4122519 3.637387 1.0123575 0.02890760 0.09240288 0.3088041 0.3521655 0.21771985 5.071251e-05 ## 21 E E1 0.8922443 19718 0.7038781 0.7055166 0.6627813 0.6260324 2.629070 1.2324544 0.23729587 0.22735572 0.2787808 0.1821179 0.07444974 5.071251e-05 ## 22 E E2. 0.8922443 19718 0.7269264 0.7275496 0.6921473 0.6481551 3.240136 1.3137040 0.12511411 0.18130642 0.2368902 0.2417081 0.21498124 5.071251e-05 ## 23 E E3 0.8922443 19718 0.7250428 0.7270495 0.6898474 0.6512056 3.416929 1.2366122 0.08200629 0.16548331 0.2376002 0.2833959 0.23151435 5.071251e-05 ## 24 E E4. 0.8922443 19718 0.7517119 0.7559068 0.7225546 0.6844585 2.847804 1.2226469 0.16193326 0.24556243 0.2789837 0.2098083 0.10371234 5.071251e-05 ## 25 E E5 0.8922443 19718 0.7765294 0.7763833 0.7552257 0.7112646 3.432397 1.2818026 0.09422862 0.16401258 0.2089461 0.2807587 0.25205396 5.071251e-05 ## 26 E E6. 0.8922443 19718 0.6600646 0.6641557 0.6133850 0.5731789 3.547266 1.2415244 0.07926767 0.14529871 0.1880008 0.3237651 0.26366771 5.071251e-05 ## 27 E E7 0.8922443 19718 0.7773715 0.7713519 0.7510441 0.7031994 2.867431 1.4317044 0.23470940 0.21422051 0.1815600 0.1879501 0.18156000 5.071251e-05 ## 28 E E8. 0.8922443 19718 0.6180052 0.6188844 0.5579848 0.5216749 2.623339 1.2662003 0.23846232 0.25884978 0.2301958 0.1858708 0.08662136 5.071251e-05 ## 29 E E9 0.8922443 19718 0.6735657 0.6677170 0.6169047 0.5770054 3.094431 1.3963517 0.17466274 0.19966528 0.1906887 0.2265443 0.20843899 5.071251e-05 ## 30 E E10. 0.8922443 19718 0.7163891 0.7158101 0.6724547 0.6359670 2.414494 1.3043546 0.32817730 0.24870677 0.1851101 0.1564560 0.08154985 5.071251e-05 ## 31 A A1. 0.8319375 19718 0.5447930 0.5164045 0.4231936 0.3881282 3.687798 1.3692825 0.10148088 0.13606857 0.1251648 0.2477432 0.38954255 5.071251e-05 ## 32 A A2 0.8319375 19718 0.6341222 0.6413829 0.5945399 0.5299662 3.926767 1.0781750 0.03235622 0.08418704 0.1738006 0.3436454 0.36601075 5.071251e-05 ## 33 A A3. 0.8319375 19718 0.4909937 0.4797032 0.3761828 0.3455765 3.837154 1.2159466 0.04797647 0.12597627 0.1681205 0.2567705 0.40115630 5.071251e-05 ## 34 A A4 0.8319375 19718 0.7647170 0.7713434 0.7638836 0.6924562 4.030277 1.0450356 0.03012476 0.06937823 0.1424587 0.3561720 0.40186632 5.071251e-05 ## 35 A A5. 0.8319375 19718 0.7061089 0.7044831 0.6709198 0.6108546 3.833908 1.1417079 0.04965007 0.09610508 0.1623390 0.3544984 0.33740744 5.071251e-05 ## 36 A A6 0.8319375 19718 0.6169463 0.6195381 0.5596434 0.5036204 3.896288 1.1301407 0.04285424 0.08641850 0.1794300 0.3141799 0.37711735 5.071251e-05 ## 37 A A7. 0.8319375 19718 0.7120862 0.7111446 0.6880761 0.6192094 3.839233 1.1320567 0.04523785 0.09853941 0.1670048 0.3501876 0.33903033 5.071251e-05 ## 38 A A8 0.8319375 19718 0.6464157 0.6568520 0.5996865 0.5492430 3.766660 1.0356383 0.03144335 0.09006999 0.2212699 0.3948169 0.26239984 5.071251e-05 ## 39 A A9 0.8319375 19718 0.7181776 0.7264042 0.7053754 0.6312106 3.944923 1.0851599 0.03879704 0.08129628 0.1411401 0.3737194 0.36504717 5.071251e-05 ## 40 A A10 0.8319375 19718 0.5331883 0.5451826 0.4589667 0.4150160 3.682524 1.0523787 0.03443554 0.09027285 0.2854245 0.3380667 0.25180039 5.071251e-05 ## 41 N N1 0.8691537 19718 0.7315680 0.7328021 0.7007200 0.6478223 3.262248 1.3079963 0.11446394 0.19677452 0.2192920 0.2509889 0.21848058 5.071251e-05 ## 42 N N2. 0.8691537 19718 0.5951506 0.6047956 0.5334757 0.4956247 2.765240 1.1768225 0.15752105 0.28334517 0.2769551 0.2007303 0.08144842 5.071251e-05 ## 43 N N3 0.8691537 19718 0.6483704 0.6592936 0.6058181 0.5612219 3.842885 1.1385542 0.04366569 0.10609595 0.1587382 0.3466883 0.34481185 5.071251e-05 ## 44 N N4. 0.8691537 19718 0.4652220 0.4715039 0.3743707 0.3432904 3.243585 1.2208370 0.10016229 0.17806066 0.2743179 0.2729486 0.17451060 5.071251e-05 ## 45 N N5 0.8691537 19718 0.6065629 0.6048155 0.5342074 0.4998717 2.951871 1.2727481 0.14996450 0.25195253 0.2276093 0.2371944 0.13327924 5.071251e-05 ## 46 N N6 0.8691537 19718 0.7671005 0.7632051 0.7401818 0.6913646 2.980525 1.3203001 0.16086824 0.23846232 0.2203570 0.2199006 0.16041181 5.071251e-05 ## 47 N N7 0.8691537 19718 0.7367096 0.7302633 0.7196234 0.6548169 3.152095 1.2997491 0.12369409 0.22218278 0.2193427 0.2478953 0.18688508 5.071251e-05 ## 48 N N8 0.8691537 19718 0.7680584 0.7600965 0.7578035 0.6905074 2.803378 1.3505345 0.21655340 0.24064307 0.2049396 0.1986003 0.13926362 5.071251e-05 ## 49 N N9 0.8691537 19718 0.7273380 0.7232877 0.6882304 0.6433089 3.135409 1.2984137 0.13104777 0.21675626 0.2123948 0.2653413 0.17445988 5.071251e-05 ## 50 N N10 0.8691537 19718 0.7078212 0.7053512 0.6622454 0.6181186 2.833908 1.3129141 0.19368090 0.24561315 0.2258343 0.2028603 0.13201136 5.071251e-05 ## ## $result_dropped ## dimension question scale_alpha raw_alpha std_alpha g6(smc) average_r s/n alpha se var_r med_r ## 1 O O1 0.7938725 0.7672537 0.7710983 0.7840332 0.2723561 3.368688 0.002483160 0.014435038 0.2581747 ## 2 O O2. 0.7938725 0.7696463 0.7721465 0.7893605 0.2735365 3.388785 0.002457683 0.015951756 0.2358161 ## 3 O O3 0.7938725 0.7763063 0.7776885 0.7961088 0.2798959 3.498193 0.002379952 0.015424137 0.2740886 ## 4 O O4. 0.7938725 0.7794039 0.7815891 0.7986737 0.2844949 3.578527 0.002351756 0.015944315 0.2740886 ## 5 O O5 0.7938725 0.7711550 0.7707896 0.7876539 0.2720098 3.362804 0.002436781 0.014059960 0.2358161 ## 6 O O6. 0.7938725 0.7775177 0.7784099 0.7963866 0.2807386 3.512837 0.002364459 0.014498921 0.2581747 ## 7 O O7 0.7938725 0.7801844 0.7820932 0.8049745 0.2850969 3.589119 0.002354221 0.016261487 0.2588751 ## 8 O O8 0.7938725 0.7780516 0.7790571 0.7914174 0.2814978 3.526057 0.002365177 0.014120447 0.2782196 ## 9 O O9 0.7938725 0.7967309 0.8000708 0.8219350 0.3077865 4.001769 0.002188829 0.014419198 0.2799772 ## 10 O O10 0.7938725 0.7621782 0.7614532 0.7788594 0.2618141 3.192050 0.002527678 0.013376619 0.2291606 ## 11 C C1 0.8127200 0.7914419 0.7888604 0.7841456 0.2933530 3.736203 0.002186435 0.007533163 0.2849568 ## 12 C C2. 0.8127200 0.7982241 0.7976255 0.7886833 0.3045539 3.941333 0.002125890 0.005243280 0.3065807 ## 13 C C3 0.8127200 0.8091756 0.8086668 0.8019519 0.3195470 4.226484 0.002014715 0.005865045 0.3089573 ## 14 C C4. 0.8127200 0.7900900 0.7899086 0.7837991 0.2946617 3.759834 0.002210989 0.006485753 0.3006158 ## 15 C C5 0.8127200 0.7881090 0.7875066 0.7826912 0.2916749 3.706029 0.002231963 0.006832178 0.3006158 ## 16 C C6. 0.8127200 0.7883655 0.7886811 0.7798415 0.2931300 3.732185 0.002237968 0.005630368 0.2958785 ## 17 C C7 0.8127200 0.7997536 0.7983877 0.7936036 0.3055564 3.960015 0.002102190 0.007699253 0.3077702 ## 18 C C8. 0.8127200 0.7991246 0.7980439 0.7928896 0.3051037 3.951572 0.002112450 0.007155547 0.3035158 ## 19 C C9 0.8127200 0.7906531 0.7890255 0.7829788 0.2935586 3.739910 0.002196232 0.007032333 0.2958785 ## 20 C C10 0.8127200 0.8040355 0.8021560 0.7956549 0.3105819 4.054488 0.002058854 0.007052475 0.3077702 ## 21 E E1 0.8922443 0.8821358 0.8826615 0.8803831 0.4552834 7.522354 0.001258102 0.006680993 0.4573332 ## 22 E E2. 0.8922443 0.8805619 0.8808252 0.8776408 0.4509195 7.391038 0.001270977 0.006638090 0.4532609 ## 23 E E3 0.8922443 0.8804755 0.8808672 0.8790501 0.4510185 7.393996 0.001275528 0.006190221 0.4532609 ## 24 E E4. 0.8922443 0.8783431 0.8784205 0.8772100 0.4453029 7.225072 0.001295926 0.007322669 0.4282002 ## 25 E E5 0.8922443 0.8762385 0.8766544 0.8738048 0.4412473 7.107303 0.001320141 0.005330506 0.4459978 ## 26 E E6. 0.8922443 0.8855736 0.8860351 0.8826857 0.4634756 7.774632 0.001220199 0.005859194 0.4688064 ## 27 E E7 0.8922443 0.8765253 0.8770907 0.8732353 0.4422438 7.136082 0.001321447 0.005182270 0.4486021 ## 28 E E8. 0.8922443 0.8890026 0.8896216 0.8852000 0.4724422 8.059742 0.001182871 0.005159526 0.4746459 ## 29 E E9 0.8922443 0.8858983 0.8857483 0.8819443 0.4627702 7.752608 0.001211285 0.006749313 0.4746459 ## 30 E E10. 0.8922443 0.8814118 0.8818071 0.8806540 0.4532447 7.460745 0.001265113 0.006915940 0.4532609 ## 31 A A1. 0.8319375 0.8334880 0.8359328 0.8369929 0.3614786 5.095065 0.001779481 0.013100196 0.3508712 ## 32 A A2 0.8319375 0.8158243 0.8221612 0.8204820 0.3393560 4.623070 0.001970889 0.013229514 0.3269047 ## 33 A A3. 0.8319375 0.8348289 0.8397423 0.8402790 0.3679752 5.239948 0.001769803 0.012232537 0.3508712 ## 34 A A4 0.8319375 0.8008205 0.8063763 0.8042310 0.3163514 4.164657 0.002130632 0.011051016 0.3124058 ## 35 A A5. 0.8319375 0.8075266 0.8146972 0.8153857 0.3281864 4.396574 0.002064462 0.013189640 0.3232003 ## 36 A A6 0.8319375 0.8182967 0.8246622 0.8255949 0.3432227 4.703276 0.001943453 0.014209503 0.3354572 ## 37 A A7. 0.8319375 0.8067564 0.8138878 0.8099034 0.3270073 4.373102 0.002067881 0.012695446 0.3241548 ## 38 A A8 0.8319375 0.8142729 0.8203648 0.8235531 0.3366177 4.566838 0.001988832 0.015142872 0.3232003 ## 39 A A9 0.8319375 0.8060688 0.8120174 0.8106977 0.3243061 4.319642 0.002073869 0.012004682 0.3232003 ## 40 A A10 0.8319375 0.8263074 0.8328739 0.8340871 0.3563846 4.983506 0.001864060 0.014212933 0.3492613 ## 41 N N1 0.8691537 0.8514982 0.8493763 0.8545527 0.3852064 5.639059 0.001560775 0.016181376 0.3831849 ## 42 N N2. 0.8691537 0.8633472 0.8617691 0.8681637 0.4092269 6.234274 0.001439949 0.016678272 0.4146621 ## 43 N N3 0.8691537 0.8586771 0.8566318 0.8623338 0.3990003 5.975049 0.001487844 0.016937621 0.4035628 ## 44 N N4. 0.8691537 0.8746203 0.8735423 0.8765511 0.4342391 6.907780 0.001329279 0.009943537 0.4185563 ## 45 N N5 0.8691537 0.8633937 0.8617673 0.8684377 0.4092231 6.234178 0.001442191 0.015235505 0.4052058 ## 46 N N6 0.8691537 0.8477686 0.8462594 0.8522174 0.3795013 5.504462 0.001608301 0.014269176 0.3866357 ## 47 N N7 0.8691537 0.8509407 0.8496334 0.8487136 0.3856828 5.650412 0.001570645 0.012573823 0.3926436 ## 48 N N8 0.8691537 0.8477041 0.8465813 0.8443928 0.3800846 5.518110 0.001607095 0.011855302 0.3913358 ## 49 N N9 0.8691537 0.8519005 0.8503374 0.8569759 0.3869918 5.681696 0.001563227 0.014950858 0.3908985 ## 50 N N10 0.8691537 0.8539670 0.8521312 0.8585271 0.3903576 5.762752 0.001535329 0.017417178 0.3866357
Omega
omega_O<-psych::omega(df_ocean_reversed[,grep("O",names(df_ocean_reversed),value=TRUE)],niter=10,nfactors=3)
omega_C<-psych::omega(df_ocean_reversed[,grep("C",names(df_ocean_reversed),value=TRUE)],niter=10,nfactors=3)
omega_E<-psych::omega(df_ocean_reversed[,grep("E",names(df_ocean_reversed),value=TRUE)],niter=10,nfactors=3)
omega_A<-psych::omega(df_ocean_reversed[,grep("A",names(df_ocean_reversed),value=TRUE)],niter=10,nfactors=3)
omega_N<-psych::omega(df_ocean_reversed[,grep("N",names(df_ocean_reversed),value=TRUE)],niter=10,nfactors=3)
omega_O## Omega ## Call: omegah(m = m, nfactors = nfactors, fm = fm, key = key, flip = flip, ## digits = digits, title = title, sl = sl, labels = labels, ## plot = plot, n.obs = n.obs, rotate = rotate, Phi = Phi, option = option, ## covar = covar, niter = 10) ## Alpha: 0.8 ## G.6: 0.82 ## Omega Hierarchical: 0.58 ## Omega H asymptotic: 0.68 ## Omega Total 0.85 ## ## Schmid Leiman Factor loadings greater than 0.2 ## g F1* F2* F3* h2 h2 u2 p2 com ## O1 0.55 0.63 0.70 0.70 0.30 0.43 1.96 ## O2. 0.59 0.81 1.00 1.00 0.00 0.34 1.82 ## O3 0.41 0.44 0.37 0.37 0.63 0.46 1.99 ## O4. 0.40 0.37 0.32 0.32 0.68 0.51 2.18 ## O5 0.48 0.43 0.43 0.43 0.57 0.54 2.05 ## O6. 0.42 0.47 0.40 0.40 0.60 0.43 2.10 ## O7 0.40 0.23 0.23 0.77 0.68 2.01 ## O8 0.47 0.57 0.56 0.56 0.44 0.41 1.93 ## O9 0.24 0.09 0.91 0.67 2.00 ## O10 0.56 0.56 0.63 0.63 0.37 0.49 2.01 ## ## With Sums of squares of: ## g F1* F2* F3* h2 ## 2.13 0.97 0.80 0.82 2.83 ## ## general/max 0.75 max/min = 3.55 ## mean percent general = 0.5 with sd = 0.11 and cv of 0.22 ## Explained Common Variance of the general factor = 0.45 ## ## The degrees of freedom are 18 and the fit is 0.25 ## The number of observations was 19719 with Chi Square = 4879.97 with prob < 0 ## The root mean square of the residuals is 0.05 ## The df corrected root mean square of the residuals is 0.07 ## RMSEA index = 0.117 and the 90 % confidence intervals are 0.114 0.12 ## BIC = 4701.96 ## ## Compare this with the adequacy of just a general factor and no group factors ## The degrees of freedom for just the general factor are 35 and the fit is 1.02 ## The number of observations was 19719 with Chi Square = 20054.56 with prob < 0 ## The root mean square of the residuals is 0.13 ## The df corrected root mean square of the residuals is 0.15 ## ## RMSEA index = 0.17 and the 90 % confidence intervals are 0.168 0.172 ## BIC = 19708.43 ## ## Measures of factor score adequacy ## g F1* F2* F3* ## Correlation of scores with factors 0.79 0.71 0.74 0.89 ## Multiple R square of scores with factors 0.62 0.50 0.55 0.80 ## Minimum correlation of factor score estimates 0.24 0.01 0.11 0.59 ## ## Total, General and Subset omega for each subset ## g F1* F2* F3* ## Omega total for total scores and subscales 0.85 0.77 0.67 0.77 ## Omega general for total scores and subscales 0.58 0.37 0.37 0.32 ## Omega group for total scores and subscales 0.21 0.39 0.30 0.46
omega_C## Omega ## Call: omegah(m = m, nfactors = nfactors, fm = fm, key = key, flip = flip, ## digits = digits, title = title, sl = sl, labels = labels, ## plot = plot, n.obs = n.obs, rotate = rotate, Phi = Phi, option = option, ## covar = covar, niter = 10) ## Alpha: 0.81 ## G.6: 0.81 ## Omega Hierarchical: 0.65 ## Omega H asymptotic: 0.78 ## Omega Total 0.84 ## ## Schmid Leiman Factor loadings greater than 0.2 ## g F1* F2* F3* h2 h2 u2 p2 com ## C1 0.54 0.31 0.40 0.40 0.60 0.73 1.68 ## C2. 0.46 0.53 0.50 0.50 0.50 0.43 1.96 ## C3 0.35 0.33 0.24 0.24 0.76 0.52 2.06 ## C4. 0.54 0.29 0.21 0.42 0.42 0.58 0.69 1.89 ## C5 0.55 0.39 0.39 0.61 0.79 1.58 ## C6. 0.54 0.50 0.54 0.54 0.46 0.54 2.00 ## C7 0.44 0.32 0.31 0.31 0.69 0.61 2.08 ## C8. 0.53 0.44 0.47 0.47 0.53 0.59 1.94 ## C9 0.54 0.32 0.40 0.40 0.60 0.72 1.70 ## C10 0.43 0.36 0.33 0.33 0.67 0.56 2.10 ## ## With Sums of squares of: ## g F1* F2* F3* h2 ## 2.46 0.58 0.68 0.28 1.67 ## ## general/max 1.47 max/min = 5.91 ## mean percent general = 0.62 with sd = 0.11 and cv of 0.18 ## Explained Common Variance of the general factor = 0.62 ## ## The degrees of freedom are 18 and the fit is 0.05 ## The number of observations was 19719 with Chi Square = 1078.16 with prob < 1.4e-217 ## The root mean square of the residuals is 0.02 ## The df corrected root mean square of the residuals is 0.04 ## RMSEA index = 0.055 and the 90 % confidence intervals are 0.052 0.057 ## BIC = 900.15 ## ## Compare this with the adequacy of just a general factor and no group factors ## The degrees of freedom for just the general factor are 35 and the fit is 0.35 ## The number of observations was 19719 with Chi Square = 6879.68 with prob < 0 ## The root mean square of the residuals is 0.09 ## The df corrected root mean square of the residuals is 0.1 ## ## RMSEA index = 0.1 and the 90 % confidence intervals are 0.098 0.102 ## BIC = 6533.55 ## ## Measures of factor score adequacy ## g F1* F2* F3* ## Correlation of scores with factors 0.81 0.56 0.66 0.51 ## Multiple R square of scores with factors 0.66 0.31 0.44 0.26 ## Minimum correlation of factor score estimates 0.32 -0.38 -0.12 -0.48 ## ## Total, General and Subset omega for each subset ## g F1* F2* F3* ## Omega total for total scores and subscales 0.84 0.71 0.74 0.47 ## Omega general for total scores and subscales 0.65 0.47 0.49 0.28 ## Omega group for total scores and subscales 0.14 0.24 0.25 0.19
omega_E## Omega ## Call: omegah(m = m, nfactors = nfactors, fm = fm, key = key, flip = flip, ## digits = digits, title = title, sl = sl, labels = labels, ## plot = plot, n.obs = n.obs, rotate = rotate, Phi = Phi, option = option, ## covar = covar, niter = 10) ## Alpha: 0.89 ## G.6: 0.89 ## Omega Hierarchical: 0.77 ## Omega H asymptotic: 0.85 ## Omega Total 0.91 ## ## Schmid Leiman Factor loadings greater than 0.2 ## g F1* F2* F3* h2 h2 u2 p2 com ## E1 0.61 0.28 0.48 0.48 0.52 0.78 1.55 ## E2. 0.65 0.42 0.61 0.61 0.39 0.70 1.72 ## E3 0.65 0.32 0.52 0.52 0.48 0.80 1.47 ## E4. 0.66 0.21 0.20 0.53 0.53 0.47 0.82 1.45 ## E5 0.71 0.30 0.63 0.63 0.37 0.81 1.47 ## E6. 0.58 0.43 0.53 0.53 0.47 0.64 1.85 ## E7 0.72 0.43 0.70 0.70 0.30 0.74 1.64 ## E8. 0.51 0.52 0.54 0.54 0.46 0.48 2.04 ## E9 0.56 0.44 0.52 0.52 0.48 0.60 1.98 ## E10. 0.62 0.20 0.45 0.45 0.55 0.85 1.36 ## ## With Sums of squares of: ## g F1* F2* F3* h2 ## 3.97 0.52 0.46 0.55 3.07 ## ## general/max 1.29 max/min = 6.64 ## mean percent general = 0.72 with sd = 0.12 and cv of 0.16 ## Explained Common Variance of the general factor = 0.72 ## ## The degrees of freedom are 18 and the fit is 0.05 ## The number of observations was 19719 with Chi Square = 943.29 with prob < 9.1e-189 ## The root mean square of the residuals is 0.01 ## The df corrected root mean square of the residuals is 0.02 ## RMSEA index = 0.051 and the 90 % confidence intervals are 0.048 0.054 ## BIC = 765.28 ## ## Compare this with the adequacy of just a general factor and no group factors ## The degrees of freedom for just the general factor are 35 and the fit is 0.43 ## The number of observations was 19719 with Chi Square = 8410.28 with prob < 0 ## The root mean square of the residuals is 0.08 ## The df corrected root mean square of the residuals is 0.09 ## ## RMSEA index = 0.11 and the 90 % confidence intervals are 0.108 0.112 ## BIC = 8064.16 ## ## Measures of factor score adequacy ## g F1* F2* F3* ## Correlation of scores with factors 0.88 0.55 0.61 0.67 ## Multiple R square of scores with factors 0.78 0.30 0.37 0.45 ## Minimum correlation of factor score estimates 0.56 -0.39 -0.26 -0.10 ## ## Total, General and Subset omega for each subset ## g F1* F2* F3* ## Omega total for total scores and subscales 0.91 0.85 0.77 0.69 ## Omega general for total scores and subscales 0.77 0.70 0.58 0.38 ## Omega group for total scores and subscales 0.09 0.15 0.18 0.31
omega_A## Omega ## Call: omegah(m = m, nfactors = nfactors, fm = fm, key = key, flip = flip, ## digits = digits, title = title, sl = sl, labels = labels, ## plot = plot, n.obs = n.obs, rotate = rotate, Phi = Phi, option = option, ## covar = covar, niter = 10) ## Alpha: 0.84 ## G.6: 0.84 ## Omega Hierarchical: 0.7 ## Omega H asymptotic: 0.81 ## Omega Total 0.86 ## ## Schmid Leiman Factor loadings greater than 0.2 ## g F1* F2* F3* h2 h2 u2 p2 com ## A1. 0.38 0.20 0.22 0.22 0.78 0.63 2.21 ## A2 0.50 0.43 0.47 0.47 0.53 0.54 2.22 ## A3. 0.34 0.14 0.86 0.82 1.43 ## A4 0.74 0.38 0.69 0.69 0.31 0.79 1.50 ## A5. 0.59 0.35 0.51 0.51 0.49 0.68 1.88 ## A6 0.55 0.31 0.40 0.40 0.60 0.74 1.64 ## A7. 0.59 0.63 0.74 0.74 0.26 0.47 1.99 ## A8 0.54 0.36 0.36 0.64 0.80 1.51 ## A9 0.68 0.34 0.58 0.58 0.42 0.79 1.50 ## A10 0.42 0.42 0.38 0.38 0.62 0.47 2.23 ## ## With Sums of squares of: ## g F1* F2* F3* h2 ## 2.98 0.46 0.78 0.28 2.35 ## ## general/max 1.27 max/min = 8.42 ## mean percent general = 0.67 with sd = 0.14 and cv of 0.21 ## Explained Common Variance of the general factor = 0.66 ## ## The degrees of freedom are 18 and the fit is 0.04 ## The number of observations was 19719 with Chi Square = 824.43 with prob < 2e-163 ## The root mean square of the residuals is 0.02 ## The df corrected root mean square of the residuals is 0.03 ## RMSEA index = 0.048 and the 90 % confidence intervals are 0.045 0.05 ## BIC = 646.42 ## ## Compare this with the adequacy of just a general factor and no group factors ## The degrees of freedom for just the general factor are 35 and the fit is 0.43 ## The number of observations was 19719 with Chi Square = 8468.59 with prob < 0 ## The root mean square of the residuals is 0.08 ## The df corrected root mean square of the residuals is 0.1 ## ## RMSEA index = 0.111 and the 90 % confidence intervals are 0.109 0.113 ## BIC = 8122.46 ## ## Measures of factor score adequacy ## g F1* F2* F3* ## Correlation of scores with factors 0.86 0.48 0.74 0.56 ## Multiple R square of scores with factors 0.73 0.23 0.54 0.31 ## Minimum correlation of factor score estimates 0.47 -0.53 0.08 -0.38 ## ## Total, General and Subset omega for each subset ## g F1* F2* F3* ## Omega total for total scores and subscales 0.86 0.78 0.76 0.36 ## Omega general for total scores and subscales 0.70 0.63 0.47 0.18 ## Omega group for total scores and subscales 0.11 0.15 0.29 0.18
omega_N## Omega ## Call: omegah(m = m, nfactors = nfactors, fm = fm, key = key, flip = flip, ## digits = digits, title = title, sl = sl, labels = labels, ## plot = plot, n.obs = n.obs, rotate = rotate, Phi = Phi, option = option, ## covar = covar, niter = 10) ## Alpha: 0.87 ## G.6: 0.87 ## Omega Hierarchical: 0.79 ## Omega H asymptotic: 0.88 ## Omega Total 0.9 ## ## Schmid Leiman Factor loadings greater than 0.2 ## g F1* F2* F3* h2 h2 u2 p2 com ## N1 0.77 0.59 0.59 0.41 0.99 1.04 ## N2. 0.55 0.21 0.35 0.35 0.65 0.86 1.28 ## N3 0.65 0.45 0.45 0.55 0.93 1.13 ## N4. 0.30 0.44 0.30 0.30 0.70 0.30 2.10 ## N5 0.56 0.34 0.34 0.66 0.93 1.21 ## N6 0.77 0.62 0.62 0.38 0.95 1.13 ## N7 0.57 0.60 0.68 0.68 0.32 0.47 2.00 ## N8 0.59 0.69 0.83 0.83 0.17 0.42 1.95 ## N9 0.69 0.53 0.53 0.47 0.91 1.22 ## N10 0.55 0.34 0.33 0.52 0.52 0.48 0.59 2.39 ## ## With Sums of squares of: ## g F1* F2* F3* h2 ## 3.76 0.00 1.04 0.45 2.97 ## ## general/max 1.27 max/min = Inf ## mean percent general = 0.74 with sd = 0.26 and cv of 0.36 ## Explained Common Variance of the general factor = 0.72 ## ## The degrees of freedom are 18 and the fit is 0.06 ## The number of observations was 19719 with Chi Square = 1239.68 with prob < 3.5e-252 ## The root mean square of the residuals is 0.02 ## The df corrected root mean square of the residuals is 0.03 ## RMSEA index = 0.059 and the 90 % confidence intervals are 0.056 0.061 ## BIC = 1061.67 ## ## Compare this with the adequacy of just a general factor and no group factors ## The degrees of freedom for just the general factor are 35 and the fit is 0.79 ## The number of observations was 19719 with Chi Square = 15507.79 with prob < 0 ## The root mean square of the residuals is 0.1 ## The df corrected root mean square of the residuals is 0.11 ## ## RMSEA index = 0.15 and the 90 % confidence intervals are 0.148 0.152 ## BIC = 15161.66 ## ## Measures of factor score adequacy ## g F1* F2* F3* ## Correlation of scores with factors 0.93 0 0.86 0.67 ## Multiple R square of scores with factors 0.86 0 0.74 0.44 ## Minimum correlation of factor score estimates 0.72 -1 0.47 -0.12 ## ## Total, General and Subset omega for each subset ## g F1* F2* F3* ## Omega total for total scores and subscales 0.90 NA 0.86 0.80 ## Omega general for total scores and subscales 0.79 NA 0.55 0.78 ## Omega group for total scores and subscales 0.08 NA 0.31 0.02
Scree
plot_scree(df_ocean_reversed[,grep("O",names(df_ocean_reversed),value=TRUE)],title="Openness")
plot_scree(df_ocean_reversed[,grep("C",names(df_ocean_reversed),value=TRUE)],title="Conscientiousness")
plot_scree(df_ocean_reversed[,grep("E",names(df_ocean_reversed),value=TRUE)],title="Extraversion")
plot_scree(df_ocean_reversed[,grep("A",names(df_ocean_reversed),value=TRUE)],title="Agreeableness")
plot_scree(df_ocean_reversed[,grep("N",names(df_ocean_reversed),value=TRUE)],title="Neuroticism")
Structure
model_O<-psych::fa(df_ocean_reversed[,grep("O",names(df_ocean_reversed),value=TRUE)],
nfactors=3,rotate="oblimin",fm="pa",oblique.scores=TRUE)
model_C<-psych::fa(df_ocean_reversed[,grep("C",names(df_ocean_reversed),value=TRUE)],
nfactors=2,rotate="oblimin",fm="pa",oblique.scores=TRUE)
model_E<-psych::fa(df_ocean_reversed[,grep("E",names(df_ocean_reversed),value=TRUE)],
nfactors=2,rotate="oblimin",fm="pa",oblique.scores=TRUE)
model_A<-psych::fa(df_ocean_reversed[,grep("A",names(df_ocean_reversed),value=TRUE)],
nfactors=2,rotate="oblimin",fm="pa",oblique.scores=TRUE)
model_N<-psych::fa(df_ocean_reversed[,grep("N",names(df_ocean_reversed),value=TRUE)],
nfactors=2,rotate="oblimin",fm="pa",oblique.scores=TRUE)
mlo<-model_loadings(model_O,matrix_type="structure",cut=.4,sort=FALSE)
mlc<-model_loadings(model_C,matrix_type="structure",cut=.5,sort=FALSE)
mle<-model_loadings(model_E,matrix_type="structure",cut=.61,sort=FALSE)
mla<-model_loadings(model_A,matrix_type="structure",cut=.55,sort=FALSE)
mln<-model_loadings(model_N,matrix_type="structure",cut=.5,sort=FALSE)
mlo$names<-df_lookup[grep("O",df_lookup$code),]
mlc$names<-df_lookup[grep("C",df_lookup$code),]
mle$names<-df_lookup[grep("E",df_lookup$code),]
mla$names<-df_lookup[grep("A",df_lookup$code),]
mln$names<-df_lookup[grep("N",df_lookup$code),]
mlo## Matrix variable PA1 PA2 PA3 names.code names.description ## O1 Structure O1 0.83 O1 I have a rich vocabulary. ## O2. Structure O2. 0.76 O2 I have difficulty understanding abstract ideas. ## O3 Structure O3 0.59 O3 I have a vivid imagination. ## O4. Structure O4. 0.71 O4 I am not interested in abstract ideas. ## O5 Structure O5 0.67 O5 I have excellent ideas. ## O6. Structure O6. 0.61 O6 I do not have a good imagination. ## O7 Structure O7 0.41 O7 I am quick to understand things. ## O8 Structure O8 0.75 O8 I use difficult words. ## O9 Structure O9 O9 I spend time reflecting on things. ## O10 Structure O10 0.81 O10 I am full of ideas.
mlc## Matrix variable PA1 PA2 names.code names.description ## C1 Structure C1 0.64 C1 I am always prepared. ## C2. Structure C2. 0.67 C2 I leave my belongings around. ## C3 Structure C3 C3 I pay attention to details. ## C4. Structure C4. 0.62 C4 I make a mess of things. ## C5 Structure C5 0.57 0.55 C5 I get chores done right away. ## C6. Structure C6. 0.73 C6 I often forget to put things back in their proper place. ## C7 Structure C7 0.51 C7 I like order. ## C8. Structure C8. C8 I shirk my duties. ## C9 Structure C9 0.63 C9 I follow a schedule. ## C10 Structure C10 0.57 C10 I am exacting in my work.
mle## Matrix variable PA1 PA2 names.code names.description ## E1 Structure E1 0.65 E1 I am the life of the party. ## E2. Structure E2. 0.69 E2 I don't talk a lot. ## E3 Structure E3 0.71 E3 I feel comfortable around people. ## E4. Structure E4. 0.7 E4 I keep in the background. ## E5 Structure E5 0.8 E5 I start conversations. ## E6. Structure E6. 0.61 E6 I have little to say. ## E7 Structure E7 0.78 E7 I talk to a lot of different people at parties. ## E8. Structure E8. 0.76 E8 I don't like to draw attention to myself. ## E9 Structure E9 0.67 E9 I don't mind being the center of attention. ## E10. Structure E10. 0.68 E10 I am quiet around strangers.
mla## Matrix variable PA1 PA2 names.code names.description ## A1. Structure A1. A1 I feel little concern for others. ## A2 Structure A2 0.65 A2 I am interested in people. ## A3. Structure A3. A3 I insult people. ## A4 Structure A4 0.82 A4 I sympathize with others' feelings. ## A5. Structure A5. 0.58 0.65 A5 I am not interested in other people's problems. ## A6 Structure A6 0.63 A6 I have a soft heart. ## A7. Structure A7. 0.87 A7 I am not really interested in others. ## A8 Structure A8 0.57 A8 I take time out for others. ## A9 Structure A9 0.76 A9 I feel others' emotions. ## A10 Structure A10 A10 I make people feel at ease.
mln## Matrix variable PA2 PA1 names.code names.description ## N1 Structure N1 0.78 N1 I get stressed out easily. ## N2. Structure N2. 0.58 N2 I am relaxed most of the time. ## N3 Structure N3 0.67 N3 I worry about things. ## N4. Structure N4. N4 I seldom feel blue. ## N5 Structure N5 0.51 N5 I am easily disturbed. ## N6 Structure N6 0.71 0.63 N6 I get upset easily. ## N7 Structure N7 0.54 0.83 N7 I change my mood a lot. ## N8 Structure N8 0.57 0.9 N8 I have frequent mood swings. ## N9 Structure N9 0.64 0.61 N9 I get irritated easily. ## N10 Structure N10 0.59 0.58 N10 I often feel blue.
Response Frequencies
response_frequencies<-plot_response_frequencies(df_ocean[,as.character(unlist(key))],reorder=FALSE)
plot_multiplot(plotlist=response_frequencies,cols=5)
Histogram of Scores
df_ocean_reversed$score_O<-rowMeans(df_ocean_reversed[,grep("O",names(df_ocean_reversed),value=TRUE)],na.rm=TRUE)
df_ocean_reversed$score_C<-rowMeans(df_ocean_reversed[,grep("C",names(df_ocean_reversed),value=TRUE)],na.rm=TRUE)
df_ocean_reversed$score_E<-rowMeans(df_ocean_reversed[,grep("E",names(df_ocean_reversed),value=TRUE)],na.rm=TRUE)
df_ocean_reversed$score_A<-rowMeans(df_ocean_reversed[,grep("A",names(df_ocean_reversed),value=TRUE)],na.rm=TRUE)
df_ocean_reversed$score_N<-rowMeans(df_ocean_reversed[,grep("N",names(df_ocean_reversed),value=TRUE)],na.rm=TRUE)
scores_ocean<-data.frame(Openness=df_ocean_reversed$score_O,
Conscientiousness=df_ocean_reversed$score_C,
Extraversion=df_ocean_reversed$score_E,
Agreeableness=df_ocean_reversed$score_A,
Neuroticism=df_ocean_reversed$score_N)
scores<-plot_histogram(scores_ocean,bins=40)
plot_multiplot(plotlist=scores,cols=5)