Rozkłady
Korelacje i alfa
## [1] "01 Z jego cech osobowości"
## [2] "02 Z nawykowo stosowanych przez niego strategii radzenia sobie ze stresem"
## [3] "03 Z typowych dla niego sposobów komunikowania się"
## [4] "04 Z utrwalonych u niego wzorców funkcjonowania w relacjach z innymi osobami"
## [5] "05 Z zakorzenionych u niego sposobów przeżywania"
## [6] "06 Z typowych dla niego mechanizmów obronnych"
## [7] "07 Z przeszkód, na jakie natrafia przy realizacji swoich zamiarów"
## [8] "08 Z braku wsparcia ze stron innych ludzi"
## [9] "09 Ze złych warunków pracy"
## [10] "10 Z tego, że jest krytykowany przez najbliższych"
## value
## All Items 0.7072641
## Excluding en_wew_h1_1 0.6838241
## Excluding en_wew_h1_2 0.6942004
## Excluding en_wew_h1_3 0.6776560
## Excluding en_wew_h1_4 0.6884759
## Excluding en_wew_h1_5 0.6559737
## Excluding en_wew_h1_6 0.6800722
## Excluding en_wew_h1_7 0.7255158
## Excluding en_wew_h1_8 0.6987072
## Excluding en_wew_h1_9 0.6862937
## Excluding en_wew_h1_10 0.6500062
## value
## All Items 0.7213836
## Excluding en_wew_h2_1 0.7000811
## Excluding en_wew_h2_2 0.7218704
## Excluding en_wew_h2_3 0.7042831
## Excluding en_wew_h2_4 0.6790171
## Excluding en_wew_h2_5 0.7019473
## Excluding en_wew_h2_6 0.6901116
## Excluding en_wew_h2_7 0.6805690
## Excluding en_wew_h2_8 0.7240862
## Excluding en_wew_h2_9 0.6975617
## Excluding en_wew_h2_10 0.6936230
Analiza czynnikowa
## Factor Analysis using method = minres
## Call: fa(r = wew[, c(1, 3, 5, 7, 9, 11, 13, 15, 17, 19)], nfactors = 2)
## Standardized loadings (pattern matrix) based upon correlation matrix
## MR2 MR1 h2 u2 com
## en_wew_h1_1 0.40 0.20 0.20 0.80 1.5
## en_wew_h1_2 0.55 -0.07 0.31 0.69 1.0
## en_wew_h1_3 0.71 -0.08 0.51 0.49 1.0
## en_wew_h1_4 0.62 -0.06 0.38 0.62 1.0
## en_wew_h1_5 0.69 0.10 0.48 0.52 1.0
## en_wew_h1_6 0.64 -0.03 0.41 0.59 1.0
## en_wew_h1_7 -0.21 0.78 0.65 0.35 1.1
## en_wew_h1_8 0.08 0.53 0.28 0.72 1.0
## en_wew_h1_9 0.02 0.77 0.59 0.41 1.0
## en_wew_h1_10 0.34 0.62 0.49 0.51 1.5
##
## MR2 MR1
## SS loadings 2.39 1.93
## Proportion Var 0.24 0.19
## Cumulative Var 0.24 0.43
## Proportion Explained 0.55 0.45
## Cumulative Proportion 0.55 1.00
##
## With factor correlations of
## MR2 MR1
## MR2 1 0
## MR1 0 1
##
## Mean item complexity = 1.1
## Test of the hypothesis that 2 factors are sufficient.
##
## The degrees of freedom for the null model are 45 and the objective function was 3.1 with Chi Square of 210.07
## The degrees of freedom for the model are 26 and the objective function was 0.5
##
## The root mean square of the residuals (RMSR) is 0.06
## The df corrected root mean square of the residuals is 0.08
##
## The harmonic number of observations is 73 with the empirical chi square 25.57 with prob < 0.49
## The total number of observations was 73 with MLE Chi Square = 33.31 with prob < 0.15
##
## Tucker Lewis Index of factoring reliability = 0.921
## RMSEA index = 0.073 and the 90 % confidence intervals are NA 0.118
## BIC = -78.24
## Fit based upon off diagonal values = 0.95
## Measures of factor score adequacy
## MR2 MR1
## Correlation of scores with factors 0.90 0.90
## Multiple R square of scores with factors 0.81 0.82
## Minimum correlation of possible factor scores 0.62 0.63
## value
## All Items 0.7723488
## Excluding en_wew_h1_1 0.7728011
## Excluding en_wew_h1_2 0.7511791
## Excluding en_wew_h1_3 0.7172286
## Excluding en_wew_h1_4 0.7367585
## Excluding en_wew_h1_5 0.7210449
## Excluding en_wew_h1_6 0.7261161
## value
## All Items 0.7568108
## Excluding en_wew_h1_7 0.6914870
## Excluding en_wew_h1_8 0.7350446
## Excluding en_wew_h1_9 0.6523813
## Excluding en_wew_h1_10 0.7200414
## Factor Analysis using method = minres
## Call: fa(r = wew[, c(2, 4, 6, 8, 10, 12, 14, 16, 18, 20)], nfactors = 2)
## Standardized loadings (pattern matrix) based upon correlation matrix
## MR2 MR1 h2 u2 com
## en_wew_h2_1 0.39 0.22 0.23 0.77 1.6
## en_wew_h2_2 0.41 -0.10 0.16 0.84 1.1
## en_wew_h2_3 0.72 -0.10 0.50 0.50 1.0
## en_wew_h2_4 0.69 0.10 0.52 0.48 1.0
## en_wew_h2_5 0.57 -0.03 0.32 0.68 1.0
## en_wew_h2_6 0.54 0.07 0.31 0.69 1.0
## en_wew_h2_7 0.09 0.76 0.61 0.39 1.0
## en_wew_h2_8 -0.16 0.64 0.39 0.61 1.1
## en_wew_h2_9 -0.02 0.73 0.53 0.47 1.0
## en_wew_h2_10 0.21 0.40 0.24 0.76 1.5
##
## MR2 MR1
## SS loadings 2.03 1.78
## Proportion Var 0.20 0.18
## Cumulative Var 0.20 0.38
## Proportion Explained 0.53 0.47
## Cumulative Proportion 0.53 1.00
##
## With factor correlations of
## MR2 MR1
## MR2 1.00 0.19
## MR1 0.19 1.00
##
## Mean item complexity = 1.1
## Test of the hypothesis that 2 factors are sufficient.
##
## The degrees of freedom for the null model are 45 and the objective function was 2.88 with Chi Square of 195.23
## The degrees of freedom for the model are 26 and the objective function was 0.78
##
## The root mean square of the residuals (RMSR) is 0.09
## The df corrected root mean square of the residuals is 0.11
##
## The harmonic number of observations is 73 with the empirical chi square 48.37 with prob < 0.0049
## The total number of observations was 73 with MLE Chi Square = 51.72 with prob < 0.002
##
## Tucker Lewis Index of factoring reliability = 0.696
## RMSEA index = 0.127 and the 90 % confidence intervals are 0.069 0.163
## BIC = -59.84
## Fit based upon off diagonal values = 0.9
## Measures of factor score adequacy
## MR2 MR1
## Correlation of scores with factors 0.88 0.88
## Multiple R square of scores with factors 0.78 0.78
## Minimum correlation of possible factor scores 0.55 0.56
## value
## All Items 0.7250675
## Excluding en_wew_h2_1 0.7230907
## Excluding en_wew_h2_2 0.7296191
## Excluding en_wew_h2_3 0.6771011
## Excluding en_wew_h2_4 0.6605451
## Excluding en_wew_h2_5 0.6623596
## Excluding en_wew_h2_6 0.6634874
## value
## All Items 0.7347313
## Excluding en_wew_h2_7 0.6166512
## Excluding en_wew_h2_8 0.6753597
## Excluding en_wew_h2_9 0.6495291
## Excluding en_wew_h2_10 0.7405396
ANOVA 2X2
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 3.29 3.288 2.543 0.115
## plec_resp 1 1.54 1.539 1.191 0.279
## plec_boh:plec_resp 1 0.22 0.219 0.169 0.682
## Residuals 69 89.20 1.293
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.90 0.902 0.492 0.4854
## plec_resp 1 9.11 9.106 4.966 0.0291 *
## plec_boh:plec_resp 1 0.47 0.472 0.257 0.6136
## Residuals 69 126.53 1.834
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.00 0.001 0.001 0.9761
## plec_resp 1 6.10 6.097 3.712 0.0581 .
## plec_boh:plec_resp 1 1.69 1.691 1.030 0.3138
## Residuals 69 113.33 1.643
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 4.34 4.338 2.010 0.161
## plec_resp 1 0.64 0.642 0.297 0.587
## plec_boh:plec_resp 1 0.17 0.174 0.081 0.777
## Residuals 69 148.90 2.158
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.88 0.884 0.505 0.4797
## plec_resp 1 3.72 3.724 2.126 0.1493
## plec_boh:plec_resp 1 5.00 4.996 2.853 0.0957 .
## Residuals 69 120.83 1.751
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 1.77 1.7739 1.202 0.277
## plec_resp 1 0.08 0.0779 0.053 0.819
## plec_boh:plec_resp 1 0.23 0.2270 0.154 0.696
## Residuals 69 101.81 1.4755
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.04 0.0435 0.032 0.858
## plec_resp 1 0.07 0.0711 0.052 0.820
## plec_boh:plec_resp 1 0.24 0.2352 0.173 0.679
## Residuals 69 93.70 1.3580
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 3.46 3.465 1.977 0.164
## plec_resp 1 0.23 0.232 0.132 0.717
## plec_boh:plec_resp 1 0.37 0.368 0.210 0.648
## Residuals 69 120.95 1.753
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.29 0.2872 0.128 0.721
## plec_resp 1 0.05 0.0468 0.021 0.885
## plec_boh:plec_resp 1 0.47 0.4670 0.209 0.649
## Residuals 69 154.51 2.2393
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 2.05 2.0488 1.075 0.303
## plec_resp 1 0.01 0.0055 0.003 0.957
## plec_boh:plec_resp 1 0.49 0.4905 0.257 0.614
## Residuals 69 131.51 1.9059
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.20 0.2019 0.130 0.720
## plec_resp 1 0.02 0.0189 0.012 0.913
## plec_boh:plec_resp 1 0.12 0.1158 0.074 0.786
## Residuals 69 107.44 1.5572
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 6.89 6.892 3.423 0.0686 .
## plec_resp 1 0.53 0.525 0.261 0.6112
## plec_boh:plec_resp 1 2.30 2.296 1.140 0.2893
## Residuals 69 138.92 2.013
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.16 0.158 0.072 0.7898
## plec_resp 1 2.35 2.346 1.061 0.3066
## plec_boh:plec_resp 1 7.10 7.103 3.212 0.0775 .
## Residuals 69 152.56 2.211
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 9.35 9.354 3.729 0.0576 .
## plec_resp 1 0.17 0.166 0.066 0.7975
## plec_boh:plec_resp 1 2.41 2.414 0.962 0.3300
## Residuals 69 173.08 2.508
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.01 0.0059 0.003 0.957
## plec_resp 1 0.99 0.9859 0.481 0.490
## plec_boh:plec_resp 1 0.02 0.0198 0.010 0.922
## Residuals 69 141.48 2.0505
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 1.62 1.623 0.583 0.448
## plec_resp 1 1.37 1.371 0.492 0.485
## plec_boh:plec_resp 1 1.71 1.714 0.616 0.435
## Residuals 69 192.17 2.785
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.01 0.0064 0.004 0.948
## plec_resp 1 0.12 0.1155 0.076 0.784
## plec_boh:plec_resp 1 2.85 2.8510 1.874 0.176
## Residuals 69 105.00 1.5217
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 3.87 3.870 1.677 0.200
## plec_resp 1 1.09 1.090 0.472 0.494
## plec_boh:plec_resp 1 0.45 0.447 0.194 0.661
## Residuals 69 159.25 2.308
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.03 0.0268 0.012 0.911
## plec_resp 1 0.01 0.0131 0.006 0.938
## plec_boh:plec_resp 1 0.06 0.0647 0.030 0.863
## Residuals 69 148.06 2.1458
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 2.20 2.1984 1.246 0.268
## plec_resp 1 0.44 0.4447 0.252 0.617
## plec_boh:plec_resp 1 0.14 0.1350 0.077 0.783
## Residuals 69 121.72 1.7640