Análise psicométrica
psicom <- score_tests(data = bd, item_dic = dic, min = 1, max = 5, run_scrub = TRUE)
print.psych(psicom)
## Call: scoreItems(keys = keys, items = data[, rownames(keys)], missing = TRUE,
## impute = "none", digits = 3)
##
## (Standardized) Alpha:
## A C E N NV O
## alpha 0.69 0.73 0.41 0.68 0.45 0.75
##
## Standard errors of unstandardized Alpha:
## A C E N NV O
## ASE 0.015 0.014 0.025 0.015 0.024 0.014
##
## Standardized Alpha of observed scales:
## A C E N NV O
## alpha.observed 0.69 0.73 0.41 0.68 0.45 0.75
##
## Average item correlation:
## A C E N NV O
## average.r 0.18 0.23 0.071 0.17 0.094 0.27
##
## Guttman 6* reliability:
## A C E N NV O
## Lambda.6 0.73 0.77 0.52 0.74 0.52 0.76
##
## Signal/Noise based upon av.r :
## A C E N NV O
## Signal/Noise 2.2 2.7 0.68 2.1 0.83 2.9
##
## Scale intercorrelations corrected for attenuation
## raw correlations below the diagonal, alpha on the diagonal
## corrected correlations above the diagonal:
##
## Note that these are the correlations of the complete scales based on the correlation matrix,
## not the observed scales based on the raw items.
## A C E N NV O
## A 0.69 0.70 0.832 0.51 0.018 0.685
## C 0.50 0.73 0.525 0.62 -0.383 0.481
## E 0.44 0.29 0.406 0.26 0.191 0.944
## N 0.35 0.43 0.136 0.68 -0.652 0.084
## NV 0.01 -0.22 0.082 -0.36 0.453 0.487
## O 0.49 0.36 0.519 0.06 0.283 0.746
##
## In order to see the item by scale loadings and frequency counts of the data
## print with the short option = FALSE
# save_item_psicom(psychObj = psicom, item_dic = dic, filename = "psicom.xlsx")
Análise fatorial exploratória
library(psych)
# Análise paralela
# p <- fa.parallel.poly(bd[ , 5:58], n.iter=20, SMC=TRUE)
m5o <- fa(p$rho, fm="minres", nfactors = 6, cor = "poly", rotate = "oblimin")
## Loading required namespace: GPArotation
m5v <- fa(p$rho, fm="minres", nfactors = 6, cor = "poly", rotate = "varimax")
plot(p)
print.psych(m5v, cut = .30)
## Factor Analysis using method = minres
## Call: fa(r = p$rho, nfactors = 6, rotate = "varimax", fm = "minres",
## cor = "poly")
## Standardized loadings (pattern matrix) based upon correlation matrix
## MR1 MR2 MR3 MR4 MR5 MR6 h2 u2 com
## Sv1.003 0.44 0.35 0.34 0.66 2.2
## Sv1.004 0.62 0.51 0.49 1.7
## Sv1.005 0.65 0.54 0.46 1.6
## Sv1.006 0.51 0.55 0.60 0.40 2.3
## Sv1.007 0.83 0.71 0.29 1.1
## Sv1.009 0.57 0.37 0.55 0.45 2.4
## Sv1.010 0.65 0.51 0.49 1.4
## Sv1.011 0.52 0.52 0.57 0.43 2.2
## Sv1.012 0.67 0.46 0.54 1.0
## Sv1.013 0.45 0.46 0.46 0.54 2.3
## Sv1.014 0.53 0.35 0.65 1.5
## Sv1.017 0.79 0.63 0.37 1.0
## Sv1.024 0.37 0.25 0.75 2.8
## Sv1.025 0.23 0.77 3.2
## Sv1.027 0.55 0.33 0.41 0.59 1.7
## Sv1.029 0.31 0.18 0.82 2.8
## Sv1.030 0.62 0.39 0.61 1.1
## Sv1.032 0.70 0.51 0.49 1.1
## Sv1.033 0.11 0.89 3.2
## Sv1.034 0.39 0.26 0.74 2.4
## Sv1.036 0.49 0.38 0.62 2.2
## Sv1.037 0.48 0.36 0.48 0.52 3.2
## Sv1.039 0.58 0.30 0.47 0.53 1.8
## Sv1.040 0.58 0.37 0.63 1.2
## Sv1.042 0.50 0.30 0.70 1.5
## Sv1.044 0.63 0.45 0.55 1.3
## Sv1.046 0.52 -0.37 0.49 0.51 2.5
## Sv1.048 0.46 0.28 0.72 1.7
## Sv1.049 0.62 0.49 0.51 1.7
## Sv1.051 0.38 0.24 0.76 2.2
## Sv1.052 0.37 0.37 0.29 0.71 2.1
## Sv1.053 0.35 0.15 0.85 1.5
## Sv1.054 0.57 0.42 0.58 1.6
## Sv1.055 0.75 0.57 0.43 1.0
## Sv1.056 0.32 0.24 0.76 3.1
## Sv1.060 0.35 0.20 0.80 2.4
## Sv1.063 0.63 0.44 0.56 1.2
## Sv1.066 0.34 0.32 0.24 0.76 2.3
## Sv1.067 0.38 0.26 0.74 2.5
## Sv1.070 0.41 0.25 0.75 2.0
## Sv1.071 0.57 0.38 0.62 1.3
## Sv1.073 0.33 0.21 0.79 2.4
## Sv1.074 0.39 0.25 0.75 2.3
## Sv1.075 0.63 0.43 0.57 1.2
## Sv1.076 0.18 0.82 3.3
## Sv1.077 0.37 0.42 0.37 0.63 2.7
## Sv1.079 0.50 0.27 0.73 1.2
## Sv1.082 0.20 0.80 3.0
## Sv1.083 0.33 0.55 0.48 0.52 2.2
## Sv1.084 0.41 0.32 0.30 0.70 2.3
## Sv1.087 0.14 0.86 2.2
## Sv1.088 0.53 0.32 0.68 1.2
## Sv1.089 0.36 0.46 0.44 0.56 2.9
## Sv1.091 0.31 0.45 0.39 0.61 2.7
##
## MR1 MR2 MR3 MR4 MR5 MR6
## SS loadings 8.16 5.53 2.30 1.62 1.48 0.82
## Proportion Var 0.15 0.10 0.04 0.03 0.03 0.02
## Cumulative Var 0.15 0.25 0.30 0.33 0.35 0.37
## Proportion Explained 0.41 0.28 0.12 0.08 0.07 0.04
## Cumulative Proportion 0.41 0.69 0.80 0.88 0.96 1.00
##
## Mean item complexity = 2
## Test of the hypothesis that 6 factors are sufficient.
##
## The degrees of freedom for the null model are 1431 and the objective function was 19.2
## The degrees of freedom for the model are 1122 and the objective function was 2.42
##
## The root mean square of the residuals (RMSR) is 0.03
## The df corrected root mean square of the residuals is 0.03
##
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy
## MR1 MR2 MR3 MR4 MR5
## Correlation of scores with factors 0.94 0.95 0.85 0.80 0.81
## Multiple R square of scores with factors 0.89 0.91 0.71 0.64 0.66
## Minimum correlation of possible factor scores 0.78 0.81 0.43 0.28 0.32
## MR6
## Correlation of scores with factors 0.76
## Multiple R square of scores with factors 0.58
## Minimum correlation of possible factor scores 0.17
print.psych(m5o, cut = .30)
## Factor Analysis using method = minres
## Call: fa(r = p$rho, nfactors = 6, rotate = "oblimin", fm = "minres",
## cor = "poly")
## Standardized loadings (pattern matrix) based upon correlation matrix
## MR2 MR1 MR5 MR6 MR3 MR4 h2 u2 com
## Sv1.003 0.43 0.34 0.66 2.0
## Sv1.004 0.49 0.51 0.49 1.6
## Sv1.005 0.67 0.54 0.46 1.2
## Sv1.006 0.62 0.60 0.40 1.3
## Sv1.007 0.84 0.71 0.29 1.0
## Sv1.009 0.65 0.55 0.45 1.2
## Sv1.010 0.72 0.51 0.49 1.0
## Sv1.011 0.59 0.57 0.43 1.4
## Sv1.012 0.64 0.46 0.54 1.0
## Sv1.013 0.56 0.46 0.54 1.3
## Sv1.014 0.32 0.35 0.65 2.7
## Sv1.017 0.79 0.63 0.37 1.0
## Sv1.024 0.32 0.25 0.75 2.7
## Sv1.025 0.36 0.30 0.23 0.77 2.4
## Sv1.027 0.38 0.41 0.41 0.59 2.0
## Sv1.029 0.31 0.18 0.82 2.1
## Sv1.030 0.52 0.39 0.61 1.3
## Sv1.032 0.70 0.51 0.49 1.1
## Sv1.033 0.11 0.89 2.6
## Sv1.034 0.40 0.26 0.74 1.8
## Sv1.036 -0.31 0.38 0.62 3.8
## Sv1.037 -0.41 0.36 0.48 0.52 3.4
## Sv1.039 0.56 0.47 0.53 1.2
## Sv1.040 0.45 0.37 0.63 1.4
## Sv1.042 0.36 0.30 0.70 2.2
## Sv1.044 0.53 -0.30 0.45 0.55 1.8
## Sv1.046 -0.42 0.34 0.49 0.51 2.8
## Sv1.048 0.32 0.28 0.72 3.3
## Sv1.049 0.44 0.49 0.51 1.9
## Sv1.051 -0.30 0.24 0.76 3.0
## Sv1.052 0.45 0.29 0.71 1.3
## Sv1.053 0.15 0.85 2.2
## Sv1.054 0.40 0.42 0.58 2.1
## Sv1.055 0.59 0.57 0.43 1.4
## Sv1.056 0.24 0.76 3.3
## Sv1.060 0.20 0.80 4.0
## Sv1.063 0.41 0.33 0.44 0.56 2.5
## Sv1.066 0.24 0.76 3.1
## Sv1.067 0.41 0.26 0.74 1.9
## Sv1.070 0.41 0.25 0.75 1.4
## Sv1.071 0.40 0.32 0.38 0.62 2.9
## Sv1.073 0.39 0.21 0.79 1.3
## Sv1.074 0.32 0.25 0.75 2.0
## Sv1.075 0.35 0.33 0.43 0.57 2.2
## Sv1.076 0.18 0.82 2.3
## Sv1.077 0.43 0.37 0.63 1.8
## Sv1.079 0.51 0.27 0.73 1.3
## Sv1.082 0.20 0.80 2.7
## Sv1.083 0.59 0.48 0.52 1.3
## Sv1.084 0.33 0.30 0.70 2.6
## Sv1.087 0.14 0.86 2.1
## Sv1.088 0.57 0.32 0.68 1.0
## Sv1.089 0.45 0.31 0.44 0.56 2.5
## Sv1.091 0.47 0.39 0.61 1.7
##
## MR2 MR1 MR5 MR6 MR3 MR4
## SS loadings 4.11 4.50 3.31 3.46 2.49 2.04
## Proportion Var 0.08 0.08 0.06 0.06 0.05 0.04
## Cumulative Var 0.08 0.16 0.22 0.28 0.33 0.37
## Proportion Explained 0.21 0.23 0.17 0.17 0.12 0.10
## Cumulative Proportion 0.21 0.43 0.60 0.77 0.90 1.00
##
## With factor correlations of
## MR2 MR1 MR5 MR6 MR3 MR4
## MR2 1.00 0.10 -0.27 -0.13 0.38 0.10
## MR1 0.10 1.00 0.42 0.55 0.21 0.37
## MR5 -0.27 0.42 1.00 0.41 -0.10 0.19
## MR6 -0.13 0.55 0.41 1.00 0.05 0.21
## MR3 0.38 0.21 -0.10 0.05 1.00 0.17
## MR4 0.10 0.37 0.19 0.21 0.17 1.00
##
## Mean item complexity = 2
## Test of the hypothesis that 6 factors are sufficient.
##
## The degrees of freedom for the null model are 1431 and the objective function was 19.2
## The degrees of freedom for the model are 1122 and the objective function was 2.42
##
## The root mean square of the residuals (RMSR) is 0.03
## The df corrected root mean square of the residuals is 0.03
##
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy
## MR2 MR1 MR5 MR6 MR3
## Correlation of scores with factors 0.94 0.93 0.91 0.91 0.88
## Multiple R square of scores with factors 0.89 0.87 0.84 0.82 0.77
## Minimum correlation of possible factor scores 0.79 0.74 0.67 0.65 0.55
## MR4
## Correlation of scores with factors 0.84
## Multiple R square of scores with factors 0.71
## Minimum correlation of possible factor scores 0.41
save_loadings(psychFaObj = m5o, item_dic = dic,
filename = "senna54xm3.xlsx", digits =2)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:plyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
## Warning in left_join_impl(x, y, by$x, by$y, suffix$x, suffix$y): joining
## character vector and factor, coercing into character vector
## Loading required package: rJava
## Loading required package: xlsxjars
## coditem MR2 MR1 MR5 MR6 MR3 MR4 com h2 rwn factor pole
## 1 Sv1.007 0.84 -0.01 0.03 -0.02 0.03 -0.05 1.01 0.71 5 N 0
## 2 Sv1.017 0.79 -0.04 0.03 0.01 0.03 0.03 1.01 0.63 12 N 0
## 3 Sv1.032 0.70 0.06 -0.05 0.08 0.01 -0.06 1.06 0.51 18 N 0
## 4 Sv1.012 0.64 -0.04 0.01 -0.02 0.08 0.02 1.04 0.46 9 N 0
## 5 Sv1.044 0.53 0.11 -0.01 -0.30 0.05 0.08 1.77 0.45 26 A 0
## 6 Sv1.037 -0.41 0.28 0.16 0.08 0.36 0.11 3.42 0.48 22 N 1
## 7 Sv1.042 0.36 -0.03 0.03 -0.01 0.27 0.14 2.24 0.30 25 N 0
## 8 Sv1.048 0.32 0.22 0.06 -0.16 0.22 0.02 3.26 0.28 28 NV 1
## 9 Sv1.053 0.29 0.12 -0.14 0.02 -0.02 0.11 2.20 0.15 32 A 0
## 10 Sv1.066 0.27 0.22 -0.04 0.14 0.00 0.15 3.13 0.24 38 O 1
## 11 Sv1.010 -0.02 0.72 0.04 -0.05 -0.03 0.05 1.03 0.51 7 O 1
## 12 Sv1.005 -0.03 0.67 0.15 -0.09 0.05 0.05 1.16 0.54 3 O 1
## 13 Sv1.055 -0.03 0.59 -0.01 0.26 -0.08 0.00 1.43 0.57 34 E 1
## 14 Sv1.030 0.05 0.52 -0.04 0.19 0.03 -0.03 1.30 0.39 17 O 1
## 15 Sv1.040 0.01 0.45 0.15 0.12 0.05 -0.04 1.42 0.37 24 O 1
## 16 Sv1.063 0.10 0.41 0.00 0.33 -0.18 0.04 2.47 0.44 37 E 1
## 17 Sv1.070 0.01 0.41 0.03 -0.04 0.04 0.17 1.39 0.25 40 O 1
## 18 Sv1.054 -0.01 0.40 0.23 0.09 0.15 0.04 2.07 0.42 33 O 1
## 19 Sv1.071 0.17 0.40 -0.14 0.32 -0.14 0.05 2.91 0.38 41 E 1
## 20 Sv1.075 0.02 0.35 0.04 0.33 0.05 0.09 2.21 0.43 44 E 1
## 21 Sv1.074 0.09 0.32 -0.03 0.06 0.17 0.11 2.04 0.25 43 NV 1
## 22 Sv1.024 0.00 0.32 0.21 -0.07 0.18 0.08 2.67 0.25 13 O 1
## 23 Sv1.006 -0.02 0.15 0.62 0.14 0.09 -0.05 1.29 0.60 4 C 1
## 24 Sv1.011 0.03 0.20 0.59 0.14 0.07 -0.09 1.43 0.57 8 C 1
## 25 Sv1.083 0.00 -0.03 0.59 0.12 -0.11 0.13 1.27 0.48 49 C 1
## 26 Sv1.091 -0.01 0.08 0.47 -0.03 -0.03 0.28 1.75 0.39 54 C 1
## 27 Sv1.089 0.14 0.12 0.45 0.00 -0.18 0.31 2.52 0.44 53 C 1
## 28 Sv1.077 0.02 0.04 0.43 0.15 -0.11 0.19 1.82 0.37 46 C 1
## 29 Sv1.046 0.21 0.10 -0.42 -0.02 0.34 0.12 2.80 0.49 27 C 0
## 30 Sv1.036 0.24 0.22 -0.31 0.01 0.28 0.05 3.83 0.38 21 C 0
## 31 Sv1.051 0.21 0.08 -0.30 -0.10 0.11 0.13 3.01 0.24 30 C 0
## 32 Sv1.009 -0.08 0.00 0.16 0.65 0.01 -0.03 1.17 0.55 6 A 1
## 33 Sv1.039 0.02 0.07 0.14 0.56 0.03 0.04 1.17 0.47 23 A 1
## 34 Sv1.004 -0.05 0.16 0.18 0.49 0.11 0.03 1.63 0.51 2 A 1
## 35 Sv1.049 -0.10 0.19 0.18 0.44 0.05 0.03 1.88 0.49 29 A 1
## 36 Sv1.034 -0.07 0.04 -0.08 0.40 0.05 0.23 1.82 0.26 20 A 1
## 37 Sv1.025 -0.01 -0.01 -0.16 0.36 0.05 0.30 2.40 0.23 14 A 1
## 38 Sv1.014 -0.06 0.21 0.08 0.32 0.14 0.12 2.73 0.35 11 A 1
## 39 Sv1.029 0.06 -0.03 0.15 0.31 -0.05 0.14 2.06 0.18 16 A 1
## 40 Sv1.060 0.03 0.08 0.15 0.20 0.14 0.14 3.99 0.20 36 NV 0
## 41 Sv1.013 0.16 -0.04 -0.16 0.00 0.56 0.00 1.33 0.46 10 NV 1
## 42 Sv1.052 0.15 -0.04 -0.04 0.00 0.45 0.04 1.27 0.29 31 NV 1
## 43 Sv1.003 0.22 -0.13 -0.05 -0.01 0.43 0.14 1.95 0.34 1 NV 1
## 44 Sv1.067 0.04 0.04 0.20 0.15 0.41 -0.09 1.91 0.26 39 E 0
## 45 Sv1.027 0.38 -0.03 0.00 0.05 0.41 -0.02 2.04 0.41 15 N 0
## 46 Sv1.073 0.09 -0.03 -0.05 0.10 0.39 0.06 1.33 0.21 42 E 0
## 47 Sv1.056 0.14 0.17 -0.02 0.14 0.26 0.09 3.33 0.24 35 NV 1
## 48 Sv1.088 -0.06 0.00 0.01 0.01 -0.02 0.57 1.03 0.32 52 N 1
## 49 Sv1.079 -0.14 -0.06 0.04 0.00 0.11 0.51 1.30 0.27 47 N 1
## 50 Sv1.084 0.08 0.21 0.04 0.16 -0.10 0.33 2.61 0.30 50 E 1
## 51 Sv1.087 0.14 -0.02 -0.13 -0.03 0.08 0.29 2.12 0.14 51 E 1
## 52 Sv1.082 -0.08 0.16 0.17 -0.06 0.06 0.28 2.73 0.20 48 N 1
## 53 Sv1.076 0.12 0.10 0.01 0.06 0.12 0.26 2.35 0.18 45 E 1
## 54 Sv1.033 0.04 0.00 0.03 0.18 0.09 0.19 2.61 0.11 19 NV 1
## item_text
## 1 Eu me irrito com facilidade.
## 2 Fico nervoso(a) com facilidade.
## 3 Fico muito bravo e costumo perder a paciência
## 4 De uma hora para outra eu fico de mau humor.
## 5 Brigo muito. Consigo fazer com que outras pessoas façam o que eu quero
## 6 Sou calmo(a) e controlo bem meu estresse.
## 7 Sou meio tenso(a).
## 8 Meus colegas pegam no meu pé
## 9 Começo bate-bocas com os outros
## 10 Muitos assuntos despertam minha curiosidade
## 11 Tenho uma imaginação bem ativa
## 12 Sou original, tenho ideias novas
## 13 Sou muito alegre e animado(a).
## 14 Gosto de refletir e brincar com minhas idéias
## 15 Gosto de atividades artísticas
## 16 Sou cheio de energia
## 17 Eu consigo facilmente inventar jogos e ou brincadeiras.
## 18 Gosto de pensar profundamente sobre as coisas
## 19 Gosto de conversar.
## 20 Eu gosto de estar na companhia dos outros.
## 21 Você acredita que as pessoas boas nos esportes já nasceram assim?
## 22 Conheço vários tipos de obras de arte, de música e ou de literatura
## 23 Sou um(a) aluno(a) cuidadoso(a) e dedicado(a).
## 24 Sou caprichoso(a) e detalhista nas tarefas escolares.
## 25 Quanto você consegue prestar atenção nas aulas?
## 26 Quanto você consegue estudar um texto para uma prova?
## 27 Quanto você consegue ter um bom desempenho em uma prova?
## 28 Quanto você consegue terminar todo seu dever de casa?
## 29 Sou distraído(a). É difícil ficar concentrado(a) nas aulas.
## 30 Eu desvio minha atenção com muita facilidade
## 31 Costumo ser desorganizado(a).
## 32 Eu trato meus colegas com carinho.
## 33 Se um colega tem dificuldade eu o ajudo.
## 34 Sou amável e legal com quase todo mundo
## 35 Não sou egoísta e gosto de ajudar os outros
## 36 Eu confio nos outros.
## 37 Eu deixo que os outros usem minhas coisas.
## 38 Tenho facilidade em perdoar
## 39 Gosto de cooperar com os outros
## 40 Você acredita que pode mudar o que acontecerá com voce amanhã pelo que faz hoje?
## 41 Você sente que é inútil se esforçar na escola porque a maioria dos outros alunos é mais inteligente que você?
## 42 Você sente que muitas vezes não vale a pena se esforçar porque, de qualquer modo, as coisas nunca dão certo mesmo?
## 43 Costumo acreditar que sou um fracasso
## 44 Sou reservado(a), fico mais na minha.
## 45 De uma hora para outra eu fico triste.
## 46 Sou tímido(a), inibido(a).
## 47 Quando faz alguma coisa errada, voce sente que existe muito pouco que você pode fazer para consertar?
## 48 Quanto você consegue evitar pensamentos desagradáveis?
## 49 Quanto você consegue evitar ficar nervoso(a)?
## 50 Quanto você consegue permanecer amigo(a) de outras crianças jovens?
## 51 Quanto você consegue bater um papo com uma pessoa desconhecida?
## 52 Quanto você consegue controlar seus sentimentos?
## 53 Contagio os outros com meu entusiasmo
## 54 Você sente que a melhor maneira de lidar com os problemas é apenas não pensar neles?
## order2 facet coditem2
## 1 5 Vol i07N.Vol.00
## 2 12 Anx i17N.Anx.00
## 3 18 Vol i32N.Vol.00
## 4 9 Vol i12N.Vol.00
## 5 26 Cmp i44A.Cmp.00
## 6 22 Anx i37N.Anx.10
## 7 25 Anx i42N.Anx.00
## 8 28 NV i48NV.NV.10
## 9 32 Pol i53A.Pol.00
## 10 38 Int i66O.Int.10
## 11 7 Img i10O.Img.10
## 12 3 Img i05O.Img.10
## 13 34 Act i55E.Act.10
## 14 17 Int i30O.Int.10
## 15 24 Aes i40O.Aes.10
## 16 37 Act i63E.Act.10
## 17 40 Img i70O.Img.11
## 18 33 Int i54O.Int.10
## 19 41 Soc i71E.Soc.10
## 20 44 Soc i75E.Soc.10
## 21 43 NV i74NV.NV.10
## 22 13 Aes i24O.Aes.10
## 23 4 Ord i06C.Ord.10
## 24 8 Ord i11C.Ord.10
## 25 49 SD i83C.SD.11
## 26 54 SD i91C.SD.11
## 27 53 SD i89C.SD.11
## 28 46 SD i77C.SD.11
## 29 27 SD i46C.SD.00
## 30 21 SD i36C.SD.00
## 31 30 Ord i51C.Ord.00
## 32 6 Cmp i09A.Cmp.10
## 33 23 Cmp i39A.Cmp.10
## 34 2 Cmp i04A.Cmp.10
## 35 29 Cmp i49A.Cmp.10
## 36 20 Tru i34A.Tru.10
## 37 14 Cmp i25A.Cmp.10
## 38 11 Tru i14A.Tru.10
## 39 16 Cmp i29A.Cmp.10
## 40 36 NV i60NV.NV.00
## 41 10 NV i13NV.NV.10
## 42 31 NV i52NV.NV.10
## 43 1 NV i03NV.NV.10
## 44 39 Soc i67E.Soc.00
## 45 15 Dep i27N.Dep.00
## 46 42 Soc i73E.Soc.00
## 47 35 NV i56NV.NV.10
## 48 52 Vol i88N.Vol.11
## 49 47 Anx i79N.Anx.11
## 50 50 Soc i84E.Soc.11
## 51 51 Soc i87E.Soc.11
## 52 48 Vol i82N.Vol.11
## 53 45 Act i76E.Act.10
## 54 19 NV i33NV.NV.10