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. 2020 Feb 14;6(2):e03368. doi: 10.1016/j.heliyon.2020.e03368

Table 3.

Factor analysis.

1 2 3 4 5 6 7 8 9 10 11
ACD1 .258 .216 .174 .613 -.142 .007 -.012 .027 .385 -.001 .085
ACD2 .374 .284 .059 .645 .012 -.033 -.220 .040 .005 -.075 .131
ACD3 .239 .107 .175 .653 -.132 .161 -.020 .109 .278 -.105 .187
ACD5 .153 .051 .128 .753 -.038 -.065 -.209 -.122 .118 .024 .079
ACD6 .310 .171 .114 .682 -.004 -.109 .011 -.050 .242 .028 .062
ACD7 .250 .169 .168 .240 .004 -.158 -.044 -.105 .082 -.041 .798
ACD8 .219 .250 .193 .293 -.003 -.104 -.125 -.088 .130 -.025 .711
REL1 .332 .688 -.026 .228 -.185 -.035 -.080 -.109 -.019 -.041 -.002
REL2 .365 .593 .140 .182 -.163 -.103 -.242 -.205 .013 .057 .138
REL3 .385 .648 .124 .250 -.122 -.164 -.181 -.238 .015 .023 .043
REL4 .246 .769 .086 .078 -.160 -.036 -.067 -.120 .161 -.024 .173
REL5 .274 .814 .055 .155 -.059 -.018 -.114 -.050 .100 -.095 .112
REL6 .318 .767 .199 .076 -.151 -.062 -.103 -.023 .116 .065 -.002
REL7 .315 .794 .176 .062 -.125 -.089 -.170 -.068 .121 .044 .094
PRA1 .202 .128 .095 .310 -.091 .155 -.099 .062 .660 -.159 -.118
PRA2 .263 .100 .104 .218 -.118 -.002 -.092 .061 .797 -.053 .140
PRA3 .263 .130 .084 .232 -.114 -.055 -.127 .008 .787 -.084 .136
EXT1 -.069 .213 -.045 .029 -.070 .034 .052 .001 -.104 .831 -.011
EXT2 -.234 -.185 .015 -.087 .258 .219 .101 .176 -.021 .747 -.022
EXT3 -.158 -.085 .037 -.034 .192 .105 .065 .118 -.088 .812 -.030
AGR2 -.221 -.175 .008 .047 .251 .153 .266 .742 -.021 .060 -.102
AGR3 -.246 -.224 -.056 -.014 .261 .259 .223 .687 .051 .089 -.099
AGR4 -.140 -.093 -.002 -.045 .157 .093 .200 .808 .131 .142 -.014
CON1 -.215 -.096 -.064 -.002 .125 .192 .672 .363 -.171 .028 .029
CON2 -.185 -.176 -.121 -.120 .193 .165 .763 .183 -.057 .095 -.043
CON3 -.198 -.272 -.125 -.078 .301 .218 .639 .252 -.081 .027 -.063
CON4 -.148 -.239 -.143 -.179 .200 .174 .727 .107 -.105 .143 -.103
NEU1 -.011 -.067 -.054 .069 .158 .785 -.031 .148 .091 .083 -.173
NEU2 .008 .006 -.024 -.050 -.052 .811 .182 .174 -.157 .089 -.097
NEU3 .066 -.132 -.046 -.078 .115 .825 .215 .051 .082 .025 -.021
NEU4 .186 -.061 -.130 -.022 .197 .800 .138 -.018 .050 .112 .093
OPE1 -.229 -.221 -.072 -.065 .679 .209 .149 .325 -.075 .137 -.017
OPE2 -.267 -.198 -.048 .028 .800 .080 .239 .078 -.116 .111 -.026
OPE3 -.247 -.179 -.106 -.165 .732 .146 .204 .165 -.188 .009 -.036
OPE4 -.271 -.184 -.063 -.107 .727 .163 .143 .238 -.027 .179 .062
DE1 .634 .279 .121 .215 -.134 .201 -.041 -.287 .125 -.020 .087
DE2 .533 .210 .141 .211 .012 .175 -.099 -.330 .311 -.079 .170
DE3 .732 .217 .178 .122 -.110 .073 -.094 -.098 .183 -.076 .157
DE4 .668 .274 .177 .151 -.235 .060 -.019 -.046 .188 .023 .153
DE7 .798 .073 -.010 .150 .007 .064 -.082 -.152 .208 .005 .004
DE8 .798 .127 .077 .139 -.076 .010 -.077 -.229 .028 -.043 .021
DE11 .657 .283 .130 .064 -.237 .130 -.263 -.049 .029 -.080 .187
DE12 .678 .263 .088 .221 -.291 -.140 -.125 .050 .107 -.139 .062
DE13 .612 .266 .142 .243 -.292 -.018 -.057 -.047 .103 .002 -.020
DE14 .713 .235 .013 .201 -.154 -.082 -.172 -.087 .113 -.134 -.030
DE15 .715 .314 .080 .101 -.131 -.015 -.027 -.078 -.034 -.148 .117
DE16 .707 .214 .074 .115 -.055 .022 -.127 .056 .145 -.184 .063
DI1 .211 .189 .796 -.004 -.055 -.075 -.112 -.101 .033 .117 .056
DI3 .149 .092 .861 .085 .067 -.085 -.020 -.031 .083 -.005 .023
DI6 .144 .056 .844 .073 -.026 -.047 -.064 .040 .106 -.092 .082
DI7 .066 .044 .878 .124 -.046 -.042 -.008 .034 .108 -.004 .084
DI11 .011 .010 .850 .068 -.041 -.008 -.014 -.008 .009 -.017 .045
DI12 .017 .171 .699 .304 -.248 .001 -.226 -.059 -.075 .000 .026

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. The bold figures are highlighted to show the factor weighting greater than 0.5.

Rotation converged in 8 iterations.

ACD - academic factor; REL - relationship factor; PRA - practical issue; EXT - extravert; AGR - agreeableness; CON - conscientiousness; NEU - neuroticism; OPE - openness to experience; DE - depression; DI - disclosure intention.