Skip to main content
. 2019 Dec 17;14(12):e0226223. doi: 10.1371/journal.pone.0226223

Table 3. Standardized factor loadings from the exploratory structural equation model of the BFPTSQ in the whole sample (M2b) and in the English and Spanish versions of the questionnaire (MG1).

λ Openness λ Extraversion λ Agreeableness λ Conscientiousness λ Emotional stability δ δ δ
Item Whole sample English Spanish Whole sample English Spanish Whole sample English Spanish Whole sample English Spanish Whole sample English Spanish Whole sample English Spanish
1 .411 .345 .460 .254 .253 .254 .036 .020 .024 .146 .264 .090 .046 -.020 .084 .638 .610 .629
6 .501 .440 .438 .116 .115 .093 .180 .096 .224 .088 .241 .023 -.078 -.126 -.059 .632 .597 .687
11 .434 .400 .535 .047 -.014 .101 .090 .031 .051 .086 .131 .130 .082 .048 .110 .748 .798 .603
16 .480 .481 .473 .151 .187 .128 .066 .139 .043 .018 .018 -.002 -.028 -.100 .019 .704 .648 .725
21 .461 .458 .475 .162 .185 .151 .077 .136 .034 .037 .036 .040 .018 -.048 .059 .706 .676 .699
26 .430 .414 .383 .053 .099 .021 .151 .212 .123 .001 .002 -.010 -.050 -.181 .047 .776 .714 .812
31r .062 -.065 .066 .082 .088 .056 .373 .348 .239 .000 .104 -.012 -.081 -.150 -.002 .851 .836 .926
36 .453 .458 .426 .064 .094 .031 .132 .092 .171 .213 .273 .167 .044 .047 .038 .637 .576 .684
41r .053 -.061 .147 .033 .017 .028 .237 .166 .103 -.010 .064 .034 .023 -.010 .080 .936 .960 .942
46 .297 .325 .290 .027 .013 .045 .034 .045 .024 .011 -.033 .052 -.027 -.057 -.005 .903 .887 .898
2 .194 .103 .212 .572 .580 .553 .029 -.072 .080 .075 .181 .047 -.073 -.109 -.044 .563 .529 .573
7r -.280 -.350 -.184 .829 .829 .821 .024 -.001 .015 -.097 -.145 -.035 .072 .127 .047 .319 .298 .336
12 .241 .280 .217 .355 .370 .347 .007 .030 .099 .166 .110 .189 .157 .195 .096 .642 .621 .663
17 .234 .200 .389 .389 .423 .401 -.225 -.099 -.248 .256 .292 .166 .079 .044 .105 .581 .547 .574
22r -.331 -.410 -.283 .892 .885 .877 .092 .058 .062 -.072 -.090 -.021 -.059 -.030 -.040 .241 .253 .244
27 .264 .269 .362 .359 .426 .326 -.161 -.125 -.118 .198 .160 .195 .269 .240 .281 .543 .524 .550
32r -.282 -.353 -.209 .854 .875 .836 .028 .045 -.025 -.062 -.084 -.020 .053 .083 .056 .281 .238 .311
37 .067 .047 .077 .813 .839 .793 -.028 -.011 .045 -.062 -.116 -.053 .008 .038 -.028 .339 .320 .350
42 .377 .446 .296 .270 .332 .234 -.081 .035 .002 -.063 -.055 -.165 .027 .041 -.015 .755 .641 .830
47 .400 .401 .235 .342 .399 .298 .184 .212 .311 .069 .117 -.030 .029 -.047 .060 .576 .470 .669
3r -.065 -.048 -.125 -.132 -.122 -.131 .438 .563 .340 -.056 -.189 .030 .239 .231 .256 .716 .607 .774
8 .439 .341 .310 .134 .173 .076 .333 .316 .552 .179 .280 .029 -.113 -.173 -.115 .541 .498 .511
13r .012 -.024 -.076 -.118 -.111 -.135 .574 .560 .486 .106 .094 .164 .090 .026 .182 .601 .638 .630
18 .390 .467 .189 .044 .084 .024 .257 .362 .368 -.056 -.104 -.090 .087 .045 .067 .770 .668 .799
23 .317 .346 .162 .133 .121 .136 .269 .293 .411 -.109 -.117 -.162 .057 .080 -.006 .803 .790 .761
28r -.239 -.231 -.370 .247 .153 .340 .431 .568 .401 -.007 -.033 -.031 .080 .155 .024 .681 .551 .647
33 .400 .388 .203 .088 .113 .067 .369 .419 .552 .182 .235 .028 -.042 -.112 -.018 .566 .454 .582
38r -.075 -.129 -.172 -.139 -.164 -.136 .651 .669 .534 .088 .106 .134 .132 .123 .168 .484 .430 .598
43 .377 .372 .237 .231 .304 .151 .333 .354 .496 .082 .051 .016 -.053 -.050 -.087 .604 .550 .603
48r -.187 -.239 -.331 -.087 -.134 -.069 .541 .463 .537 .084 .118 .122 -.016 -.023 .003 .654 .682 .631
4 .239 .172 .316 .050 .098 -.007 .053 -.040 .070 .552 .631 .548 -.095 -.089 -.104 .554 .478 .547
9r -.377 -.320 -.295 -.044 -.050 .004 .102 .305 -.064 .531 .345 .624 .009 .110 -.034 .634 .636 .585
14 .251 .182 .267 .086 .112 .044 .171 .122 .235 .482 .579 .393 -.109 -.074 -.150 .555 .458 .627
19r -.384 -.416 -.229 -.028 .006 -.051 .082 .081 -.003 .506 .383 .616 .003 .090 -.029 .662 .705 .614
24r -.353 -.390 -.210 .106 .086 .136 .022 .022 -.024 .502 .466 .521 .091 .167 .069 .633 .623 .656
29 .144 .217 .159 -.031 .007 -.032 -.134 -.101 -.005 .603 .569 .537 -.032 .016 -.083 .618 .586 .689
34 .237 .252 .298 .047 .034 .076 -.016 -.013 .081 .575 .558 .499 .023 .104 -.044 .527 .518 .571
39 .084 .111 .154 .012 .062 -.003 -.132 -.079 -.055 .650 .609 .580 -.071 -.022 -.111 .583 .576 .654
44r -.372 -.411 -.190 -.024 -.096 .063 -.028 -.026 -.134 .497 .514 .514 .205 .254 .203 .612 .566 .639
49r -.215 -.352 -.144 -.203 -.210 -.206 .317 .273 .226 .352 .470 .303 .161 .076 .272 .637 .552 .681
5r -.088 -.040 -.087 .161 .135 .195 .053 .024 .062 .097 .138 .092 .544 .577 .524 .575 .555 .591
10 .378 .418 .343 -.027 .012 -.046 -.114 -.084 -.011 -.047 .089 -.183 .662 .606 .656 .494 .500 .511
15r -.112 -.059 -.113 .007 -.011 .028 .035 -.008 .040 -.182 -.185 -.115 .672 .707 .636 .538 .484 .587
20r -.225 -.124 -.219 .049 .067 .036 -.181 -.087 -.242 -.090 -.045 -.191 .564 .670 .514 .616 .508 .639
25 .275 .344 .229 -.007 .017 .004 -.055 .000 .043 .081 .109 .014 .593 .520 .623 .566 .610 .537
30r -.129 -.100 -.151 -.036 -.074 .012 .261 .278 .151 .007 .006 .075 .579 .555 .632 .517 .547 .484
35 .386 .469 .348 -.046 .013 -.069 -.110 -.047 .024 .139 .189 .006 .560 .513 .577 .521 .484 .555
40r -.123 -.169 -.038 .122 .254 .009 -.001 -.060 -.024 -.066 -.048 -.013 .684 .621 .751 .483 .470 .444
45r -.162 -.205 .001 .213 .173 .267 -.035 -.018 -.159 .177 .224 .190 .458 .451 .491 .613 .607 .583
50r -.017 -.019 -.070 -.091 -.106 -.065 .392 .431 .258 .022 .047 .075 .551 .452 .653 .464 .539 .408

The column “whole sample” presents the factor loadings of the M2b model, while the columns “English” and “Spanish” correspond to the factor loadings of the MG1 model of the Invariance between the English vs. Spanish versions. The fit indices of both models are presented in Table 2. Bold denotes all the significant factor loadings (the 99% CI does not cross zero). λ = factor loadings; δ = uniquenesses.