Análise de Dados de Pesquisa
Matheus Silva Araújo
2025-02-19
Importação dos Dados
dados <- read.csv("piloto.csv", sep=",", header=TRUE)Definição de Categorias de Variáveis
col_estrategias <- c("S1", "S2", "S3", "S4", "S5", "S6", "S7", "S8", "S9", "S10", "S11", "S12")
col_desafios <- c("C1", "C2", "C3", "C4", "C5", "C6", "C7", "C8", "C9", "C10", "C11", "C12", "C13", "C14", "C15")
col_performance <- c("P1", "P2", "P6", "P11", "P15", "P25")
col_dass21 <- c("D1", "D2", "D3", "D4", "D5", "D6", "D7", "D8", "D9", "D10", "D11", "D12", "D13", "D14", "D15", "D16", "D17", "D18", "D19", "D20", "D21")
col_ansiedade <- c("D2", "D4", "D7", "D9", "D15", "D19", "D20")
col_estresse <- c("D1", "D6", "D8", "D11", "D12", "D14", "D18")
col_depressao <- c("D3", "D5", "D10", "D13", "D16", "D17", "D21")
col_ifera <- c("I1", "I2", "I3", "I4", "I5", "I6", "I7", "I8", "I9", "I10", "I11", "I12", "I13", "I14", "I15", "I16", "I17", "I18", "I19", "I20", "I21", "I22", "I23", "I24", "I25", "I26", "I27", "I28")
col_controle_inibitorio <- c("I1", "I14", "I22", "I23", "I26", "I27")
col_trabalho_memoria <- c("I2", "I4", "I5", "I24", "I25", "I28")
col_flexibilidade_cognitiva <- c("I3", "I6", "I13", "I20", "I21")
col_regulacao_estado <- c("I9", "I10", "I11", "I17", "I18", "I19")
col_aversao_delay <- c("I7", "I8", "I12", "I15", "I16")Funções de Visualização
Histograma
plot_histograma <- function(df, coluna, bins = 20, breaks = NULL, nome = "") {
# Verifica se a coluna existe no dataframe
if (!coluna %in% names(df)) {
stop("A coluna especificada não existe no dataframe.")
}
# Verifica se a coluna é numérica
if (!is.numeric(df[[coluna]])) {
stop("A coluna especificada não é numérica.")
}
# Criando o histograma
p <- ggplot(df, aes(x = .data[[coluna]])) +
geom_histogram(fill = "#AED6F1", bins = bins, color = "black") +
labs(x = nome, y = "Frequência") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, hjust = 1))
if (!is.null(breaks)) {
p <- p + scale_x_continuous(breaks = seq(min(df[[coluna]], na.rm = TRUE),
max(df[[coluna]], na.rm = TRUE),
by = breaks))
}
print(p)
}Boxplot
plot_boxplot <- function(df, coluna, nome = "") {
# Verifica se a coluna existe no dataframe
if (!coluna %in% names(df)) {
stop("A coluna especificada não existe no dataframe.")
}
# Verifica se a coluna é numérica
if (!is.numeric(df[[coluna]])) {
stop("A coluna especificada não é numérica.")
}
# Calcular estatísticas descritivas (mediana, quartis)
stats <- df %>%
summarise(
Q1 = quantile(.data[[coluna]], 0.25, na.rm = TRUE),
Mediana = median(.data[[coluna]], na.rm = TRUE),
Q3 = quantile(.data[[coluna]], 0.75, na.rm = TRUE),
Media = mean(.data[[coluna]], na.rm = TRUE)
)
# Criando o boxplot
ggplot(df, aes(y = .data[[coluna]], x = "")) +
geom_boxplot(fill = "#AED6F1", color = "black", outlier.colour = "red", outlier.shape = 16, width = 0.2) + # Caixa estreita
geom_point(aes(y = stats$Media), color = "#F9E79F", size = 3) +
geom_text(aes(x = 1.2, y = stats$Mediana, label = paste("Mediana:", round(stats$Mediana, 2))), vjust = 0, hjust=-0.1, size = 4, color = "black") +
geom_text(aes(x = 1.2, y = stats$Q1, label = paste("Q1:", round(stats$Q1, 2))), vjust = 0, size = 4, color = "black") +
geom_text(aes(x = 1.2, y = stats$Q3, label = paste("Q3:", round(stats$Q3, 2))), vjust = 0, size = 4, color = "black") +
geom_text(aes(x = 1.2, y = stats$Media, label = paste("Média:", round(stats$Media, 2))), vjust = 0, hjust=-0.1, size = 4, color = "orange") +
labs(y = nome, x = "") +
theme_minimal()
}StackedBar
plot_stacked_bar <- function(data, x_var, fill_var) {
df_count <- data %>%
count(!!sym(x_var), !!sym(fill_var)) %>%
group_by(!!sym(x_var)) %>%
mutate(percentage = n / sum(n) * 100) # Calcula a porcentagem dentro de cada grupo
ggplot(df_count, aes_string(x = x_var, y = "n", fill = fill_var)) +
geom_bar(stat = "identity", position = "stack") + # Frequência absoluta no eixo y
geom_text(aes(label = paste0(round(percentage, 1), "%")),
position = position_stack(vjust = 0.5), size = 5) + # Adiciona porcentagem dentro das barras
labs(x = "Sexo", y = "Frequência", fill = "") +
scale_fill_manual(values = c("#FFB6C1", "#AED6F1", "#A2D9CE", "#F9E79F", "#D7BDE2")) + # Cores pastéis
theme(
panel.background = element_rect(fill = "white", color = NA),
plot.background = element_rect(fill = "white", color = NA),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
axis.line = element_line(color = "grey50"),
legend.background = element_rect(fill = "white")
)
}Distribuição Multivalorada
distribuicao_multivalorada <- function(df, coluna, grafico = TRUE, breaks_y = NULL, nome = "") {
# Verifica se a coluna existe no dataframe
if (!coluna %in% names(df)) {
stop("A coluna especificada não existe no dataframe.")
}
# Verifica se a coluna é categórica (texto)
if (!is.character(df[[coluna]]) && !is.factor(df[[coluna]])) {
stop("A coluna especificada não é categórica (texto ou fator).")
}
# Separar os valores pela vírgula e organizar em formato longo
df_long <- df %>%
mutate(Separado = strsplit(as.character(.data[[coluna]]), ";")) %>%
unnest(Separado) %>%
mutate(Separado = trimws(Separado)) # Remove espaços extras
# Contar a frequência de cada valor único
frequencia <- df_long %>%
count(Separado, sort = TRUE) %>%
rename(Valor = Separado, Frequencia = n)
# Exibir a tabela
print(frequencia)
# Criar o gráfico se grafico = TRUE
if (grafico) {
p <- ggplot(frequencia, aes(x = reorder(Valor, Frequencia), y = Frequencia, fill = Valor)) +
geom_bar(stat = "identity", show.legend = FALSE) +
coord_flip() +
labs(title = "", x = "Neurodivergência", y = "Frequência") +
scale_fill_manual(values = c("#FFB6C1", "#AED6F1", "#A2D9CE", "#F9E79F", "#D7BDE2")) # Cores pastéis
if (!is.null(breaks_y)) {
p <- p + scale_y_continuous(breaks = seq(0, max(frequencia$Frequencia, na.rm = TRUE), by = breaks_y))
}
# Exibir o gráfico
print(p)
}
}Visualizações
## # A tibble: 5 × 2
## Valor Frequencia
## <chr> <int>
## 1 Tenho um distúrbio de concentração e/ou memória (por exemplo, TDAH… 14
## 2 Tenho um transtorno de ansiedade (por exemplo, TAG, etc.) 9
## 3 Tenho autismo/um transtorno do espectro autista (por exemplo, Aspe… 3
## 4 Tenho um distúrbio de humor ou emocional (por exemplo, depressão, … 3
## 5 Tenho diferenças de aprendizagem (por exemplo, disléxico, dislexia… 1
Testes Estatísticos
Teste de Eficácia de Estratégias
## [1] "S1"
## [1] "S2"
## [1] "S3"
## [1] "S4"
## [1] "S5"
## [1] "S6"
## [1] "S7"
## [1] "S8"
## [1] "S9"
## [1] "S10"
## [1] "S11"
## [1] "S12"## # A tibble: 12 × 6
## Estrategia Estatistica p_valor IC_Lower IC_Upper Mediana
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 S1 57 0.883 2.50 4.00 3.25
## 2 S10 4 0.00528 1.00 2.00 1.50
## 3 S11 68.5 0.104 3.00 4.50 3.75
## 4 S12 91 0.000898 4.50 5 4.75
## 5 S2 118. 0.000677 4.50 5 4.75
## 6 S3 105 0.000784 4.00 5.00 4.5
## 7 S4 100 0.0185 3.00 5 4.00
## 8 S5 120. 0.00462 3.50 5 4.25
## 9 S6 74 0.00528 4.00 5.00 4.50
## 10 S7 66.5 0.139 3.00 4.50 3.75
## 11 S8 89.5 0.00108 5.00 5 5.00
## 12 S9 66 0.00249 4.50 5 4.75
Correlações
## D2 D4 D7 D9 D15 D19 D20 D1 D6 D8 D11 D12 D14 D18 D3 D5 D10 D13 D16 D17 D21
## 1 2 2 0 2 2 0 1 1 2 1 2 3 2 2 3 2 2 3 3 1 2
## 2 1 0 0 2 1 0 1 1 1 1 3 3 1 1 1 2 0 2 1 1 1
## 3 1 1 1 2 2 1 2 2 2 3 3 3 3 2 2 2 2 2 2 2 1
## 4 0 2 0 1 2 2 1 0 1 1 0 2 1 3 2 3 1 1 1 0 1
## 5 1 1 1 3 2 0 1 2 3 2 2 2 1 1 2 2 1 2 1 2 1
## 6 0 0 0 1 1 0 2 1 0 1 3 3 2 1 1 3 1 1 1 1 1
## 7 1 1 0 1 0 1 0 1 1 0 1 2 0 1 0 2 1 0 0 0 0
## 8 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 0 0 0 0 0
## 9 0 0 0 0 0 0 0 1 2 0 1 1 1 1 1 3 0 2 1 0 0
## 10 0 2 0 2 1 2 2 2 2 2 2 3 1 2 2 3 1 2 2 2 1
## 11 2 0 1 1 0 0 1 1 1 2 1 2 1 0 1 1 0 2 1 1 1
## 12 1 0 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1
## 13 0 1 2 2 1 0 1 1 1 2 2 2 2 2 1 2 1 1 1 1 1
## 14 0 1 0 2 3 0 2 2 2 2 3 3 3 3 1 3 2 2 2 1 2
## 15 2 2 1 2 3 1 3 2 2 2 2 3 2 3 2 3 3 3 3 3 3
## 16 0 0 0 0 0 1 0 0 1 1 2 3 1 1 1 3 1 1 0 0 0
## I1 I14 I22 I23 I26 I27 I2 I4 I5 I24 I25 I28 I3 I6 I13 I20 I21 I9 I10 I11 I17
## 1 3 4 4 5 5 4 4 5 5 4 4 5 5 5 5 5 5 5 5 5 5
## 2 3 5 2 5 3 4 4 4 4 5 5 5 4 4 4 5 4 5 5 5 4
## 3 4 4 4 5 5 4 5 4 5 5 4 5 3 3 3 3 5 5 5 4 5
## 4 3 2 3 2 2 4 3 2 4 3 4 2 3 3 3 2 4 3 4 3 3
## 5 4 3 4 5 4 4 5 4 5 4 4 5 4 4 4 4 5 5 4 3 4
## 6 3 4 4 5 4 5 3 4 3 5 5 4 2 2 2 4 3 5 4 3 4
## 7 3 3 1 5 5 2 4 4 2 5 4 3 3 2 5 1 4 4 4 5 5
## 8 3 4 5 4 5 5 4 3 5 5 4 4 2 4 5 4 3 5 5 5 5
## 9 3 2 5 5 2 5 5 3 4 4 4 3 4 3 4 3 5 5 5 5 5
## 10 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## 11 3 3 3 4 3 4 4 3 4 4 4 3 3 3 4 4 4 3 4 3 3
## 12 3 3 3 4 2 4 4 4 4 3 4 4 3 3 4 4 4 3 3 4 4
## 13 3 4 2 3 3 4 4 4 4 4 4 4 4 3 4 4 3 4 3 4 3
## 14 4 5 5 4 4 4 3 3 4 5 4 3 5 4 5 5 4 5 5 5 5
## 15 5 4 4 5 5 5 5 5 5 5 5 4 5 5 5 5 5 5 5 5 5
## 16 4 4 4 5 5 5 5 5 4 5 5 5 5 5 5 5 4 5 5 5 5
## I18 I19 I7 I8 I12 I15 I16
## 1 5 4 5 4 5 5 5
## 2 5 5 5 5 4 5 5
## 3 5 4 4 4 5 5 4
## 4 4 3 3 2 3 4 2
## 5 5 3 4 5 5 5 4
## 6 3 3 3 4 4 4 3
## 7 4 2 2 2 5 2 1
## 8 3 4 3 4 3 5 4
## 9 4 5 4 5 5 5 3
## 10 5 5 4 5 5 5 3
## 11 4 3 4 3 4 3 4
## 12 2 4 2 4 4 4 4
## 13 4 4 3 4 3 3 4
## 14 3 5 5 5 5 4 3
## 15 5 5 5 5 5 5 4
## 16 5 5 4 5 4 5 5
## D2 D4 D7 D9 D15 D19 D20
## 1 1.6546893 1.4235771 -0.6953795 0.7263720 0.8043675 -0.6846532 -0.1412332
## 2 0.3939736 -0.9740265 -0.6953795 0.7263720 -0.1149096 -0.6846532 -0.1412332
## 3 0.3939736 0.2247753 0.8940593 0.7263720 0.8043675 0.6846532 0.9886322
## 4 -0.8667420 1.4235771 -0.6953795 -0.3301691 0.8043675 2.0539596 -0.1412332
## 5 0.3939736 0.2247753 0.8940593 1.7829131 0.8043675 -0.6846532 -0.1412332
## 6 -0.8667420 -0.9740265 -0.6953795 -0.3301691 -0.1149096 -0.6846532 0.9886322
## 7 0.3939736 0.2247753 -0.6953795 -0.3301691 -1.0341868 0.6846532 -1.2710985
## 8 -0.8667420 -0.9740265 -0.6953795 -1.3867102 -1.0341868 -0.6846532 -1.2710985
## 9 -0.8667420 -0.9740265 -0.6953795 -1.3867102 -1.0341868 -0.6846532 -1.2710985
## 10 -0.8667420 1.4235771 -0.6953795 0.7263720 -0.1149096 2.0539596 0.9886322
## 11 1.6546893 -0.9740265 0.8940593 -0.3301691 -1.0341868 -0.6846532 -0.1412332
## 12 0.3939736 -0.9740265 0.8940593 -1.3867102 -1.0341868 -0.6846532 -0.1412332
## 13 -0.8667420 0.2247753 2.4834982 0.7263720 -0.1149096 -0.6846532 -0.1412332
## 14 -0.8667420 0.2247753 -0.6953795 0.7263720 1.7236446 -0.6846532 0.9886322
## 15 1.6546893 1.4235771 0.8940593 0.7263720 1.7236446 0.6846532 2.1184976
## 16 -0.8667420 -0.9740265 -0.6953795 -1.3867102 -1.0341868 0.6846532 -1.2710985
## D1 D6 D8 D11 D12 D14 D18
## 1 -0.2862123 0.7752171 -0.3578740 0.25 0.8667420 0.6910820 0.5175492
## 2 -0.2862123 -0.4651303 -0.3578740 1.25 0.8667420 -0.5375082 -0.5175492
## 3 1.2402533 0.7752171 1.9325194 1.25 0.8667420 1.9196722 0.5175492
## 4 -1.8126778 -0.4651303 -0.3578740 -1.75 -0.3939736 -0.5375082 1.5526475
## 5 1.2402533 2.0155644 0.7873227 0.25 -0.3939736 -0.5375082 -0.5175492
## 6 -0.2862123 -1.7054776 -0.3578740 1.25 0.8667420 0.6910820 -0.5175492
## 7 -0.2862123 -0.4651303 -1.5030706 -0.75 -0.3939736 -1.7660985 -0.5175492
## 8 -0.2862123 -1.7054776 -1.5030706 -1.75 -1.6546893 -0.5375082 -1.5526475
## 9 -0.2862123 0.7752171 -1.5030706 -0.75 -1.6546893 -0.5375082 -0.5175492
## 10 1.2402533 0.7752171 0.7873227 0.25 0.8667420 -0.5375082 0.5175492
## 11 -0.2862123 -0.4651303 0.7873227 -0.75 -0.3939736 -0.5375082 -1.5526475
## 12 -0.2862123 -0.4651303 -0.3578740 -0.75 -1.6546893 -0.5375082 -0.5175492
## 13 -0.2862123 -0.4651303 0.7873227 0.25 -0.3939736 0.6910820 0.5175492
## 14 1.2402533 0.7752171 0.7873227 1.25 0.8667420 1.9196722 1.5526475
## 15 1.2402533 0.7752171 0.7873227 0.25 0.8667420 0.6910820 1.5526475
## 16 -1.8126778 -0.4651303 -0.3578740 0.25 0.8667420 -0.5375082 -0.5175492
## D3 D5 D10 D13 D16 D17
## 1 2.1274577 -0.3227486 1.09788758 1.6113756 1.8798015 0.06729774
## 2 -0.3939736 -0.3227486 -1.24427259 0.4904187 -0.2685431 0.06729774
## 3 0.8667420 -0.3227486 1.09788758 0.4904187 0.8056292 1.14406154
## 4 0.8667420 0.9682458 -0.07319251 -0.6305383 -0.2685431 -1.00946607
## 5 0.8667420 -0.3227486 -0.07319251 0.4904187 -0.2685431 1.14406154
## 6 -0.3939736 0.9682458 -0.07319251 -0.6305383 -0.2685431 0.06729774
## 7 -1.6546893 -0.3227486 -0.07319251 -1.7514952 -1.3427154 -1.00946607
## 8 -1.6546893 -1.6137431 -1.24427259 -1.7514952 -1.3427154 -1.00946607
## 9 -0.3939736 0.9682458 -1.24427259 0.4904187 -0.2685431 -1.00946607
## 10 0.8667420 0.9682458 -0.07319251 0.4904187 0.8056292 1.14406154
## 11 -0.3939736 -1.6137431 -1.24427259 0.4904187 -0.2685431 0.06729774
## 12 -0.3939736 -1.6137431 -0.07319251 -0.6305383 -0.2685431 -1.00946607
## 13 -0.3939736 -0.3227486 -0.07319251 -0.6305383 -0.2685431 0.06729774
## 14 -0.3939736 0.9682458 1.09788758 0.4904187 0.8056292 0.06729774
## 15 0.8667420 0.9682458 2.26896767 1.6113756 1.8798015 2.22082535
## 16 -0.3939736 0.9682458 -0.07319251 -0.6305383 -1.3427154 -1.00946607
## D21 I1 I14 I22 I23 I26 I27
## 1 1.224745 -0.6953795 0.3301691 0.3114205 0.6305383 0.9342616 -0.3227486
## 2 0.000000 -0.6953795 1.3867102 -1.3494890 0.6305383 -0.7266479 -0.3227486
## 3 0.000000 0.8940593 0.3301691 0.3114205 0.6305383 0.9342616 -0.3227486
## 4 0.000000 -0.6953795 -1.7829131 -0.5190342 -2.7323326 -1.5571027 -0.3227486
## 5 0.000000 0.8940593 -0.7263720 0.3114205 0.6305383 0.1038068 -0.3227486
## 6 0.000000 -0.6953795 0.3301691 0.3114205 0.6305383 0.1038068 0.9682458
## 7 -1.224745 -0.6953795 -0.7263720 -2.1799438 0.6305383 0.9342616 -2.9047375
## 8 -1.224745 -0.6953795 0.3301691 1.1418753 -0.4904187 0.9342616 0.9682458
## 9 -1.224745 -0.6953795 -1.7829131 1.1418753 0.6305383 -1.5571027 0.9682458
## 10 0.000000 0.8940593 1.3867102 1.1418753 0.6305383 0.9342616 0.9682458
## 11 0.000000 -0.6953795 -0.7263720 -0.5190342 -0.4904187 -0.7266479 -0.3227486
## 12 0.000000 -0.6953795 -0.7263720 -0.5190342 -0.4904187 -1.5571027 -0.3227486
## 13 0.000000 -0.6953795 0.3301691 -1.3494890 -1.6113756 -0.7266479 -0.3227486
## 14 1.224745 0.8940593 1.3867102 1.1418753 -0.4904187 0.1038068 -0.3227486
## 15 2.449490 2.4834982 0.3301691 0.3114205 0.6305383 0.9342616 0.9682458
## 16 -1.224745 0.8940593 0.3301691 0.3114205 0.6305383 0.9342616 0.9682458
## I2 I4 I5 I24 I25 I28 I3
## 1 -0.250000 1.2710985 0.9740265 -0.6014255 -0.6527912 1.035098 1.1741705
## 2 -0.250000 0.1412332 -0.2247753 0.7732613 1.4361407 1.035098 0.2348341
## 3 1.083333 0.1412332 0.9740265 0.7732613 -0.6527912 1.035098 -0.7045023
## 4 -1.583333 -2.1184976 -0.2247753 -1.9761123 -0.6527912 -2.070197 -0.7045023
## 5 1.083333 0.1412332 0.9740265 -0.6014255 -0.6527912 1.035098 0.2348341
## 6 -1.583333 0.1412332 -1.4235771 0.7732613 1.4361407 0.000000 -1.6438388
## 7 -0.250000 0.1412332 -2.6223789 0.7732613 -0.6527912 -1.035098 -0.7045023
## 8 -0.250000 -0.9886322 0.9740265 0.7732613 -0.6527912 0.000000 -1.6438388
## 9 1.083333 -0.9886322 -0.2247753 -0.6014255 -0.6527912 -1.035098 0.2348341
## 10 1.083333 1.2710985 0.9740265 0.7732613 1.4361407 1.035098 1.1741705
## 11 -0.250000 -0.9886322 -0.2247753 -0.6014255 -0.6527912 -1.035098 -0.7045023
## 12 -0.250000 0.1412332 -0.2247753 -1.9761123 -0.6527912 0.000000 -0.7045023
## 13 -0.250000 0.1412332 -0.2247753 -0.6014255 -0.6527912 0.000000 0.2348341
## 14 -1.583333 -0.9886322 -0.2247753 0.7732613 -0.6527912 -1.035098 1.1741705
## 15 1.083333 1.2710985 0.9740265 0.7732613 1.4361407 0.000000 1.1741705
## 16 1.083333 1.2710985 -0.2247753 0.7732613 1.4361407 1.035098 1.1741705
## I6 I13 I20 I21 I9 I10 I11
## 1 1.3418626 0.8922827 0.89931566 1.083333 0.6123724 0.7732613 0.7873227
## 2 0.3659625 -0.2059114 0.89931566 -0.250000 0.6123724 0.7732613 0.7873227
## 3 -0.6099375 -1.3041054 -0.79351382 1.083333 0.6123724 0.7732613 -0.3578740
## 4 -0.6099375 -1.3041054 -1.63992856 -0.250000 -1.8371173 -0.6014255 -1.5030706
## 5 0.3659625 -0.2059114 0.05290092 1.083333 0.6123724 -0.6014255 -1.5030706
## 6 -1.5858376 -2.4022995 0.05290092 -1.583333 0.6123724 -0.6014255 -1.5030706
## 7 -1.5858376 0.8922827 -2.48634330 -0.250000 -0.6123724 -0.6014255 0.7873227
## 8 0.3659625 0.8922827 0.05290092 -1.583333 0.6123724 0.7732613 0.7873227
## 9 -0.6099375 -0.2059114 -0.79351382 1.083333 0.6123724 0.7732613 0.7873227
## 10 1.3418626 0.8922827 0.89931566 1.083333 0.6123724 0.7732613 0.7873227
## 11 -0.6099375 -0.2059114 0.05290092 -0.250000 -1.8371173 -0.6014255 -1.5030706
## 12 -0.6099375 -0.2059114 0.05290092 -0.250000 -1.8371173 -1.9761123 -0.3578740
## 13 -0.6099375 -0.2059114 0.05290092 -1.583333 -0.6123724 -1.9761123 -0.3578740
## 14 0.3659625 0.8922827 0.89931566 -0.250000 0.6123724 0.7732613 0.7873227
## 15 1.3418626 0.8922827 0.89931566 1.083333 0.6123724 0.7732613 0.7873227
## 16 1.3418626 0.8922827 0.89931566 -0.250000 0.6123724 0.7732613 0.7873227
## I17 I18 I19 I7 I8 I12 I15
## 1 0.7752171 0.9139077 0.000000 1.25 -0.1219875 0.8667420 0.7263720
## 2 -0.4651303 0.9139077 1.035098 1.25 0.8539126 -0.3939736 0.7263720
## 3 0.7752171 0.9139077 0.000000 0.25 -0.1219875 0.8667420 0.7263720
## 4 -1.7054776 -0.1305582 -1.035098 -0.75 -2.0737877 -1.6546893 -0.3301691
## 5 -0.4651303 0.9139077 -1.035098 0.25 0.8539126 0.8667420 0.7263720
## 6 -0.4651303 -1.1750242 -1.035098 -0.75 -0.1219875 -0.3939736 -0.3301691
## 7 0.7752171 -0.1305582 -2.070197 -1.75 -2.0737877 0.8667420 -2.4432513
## 8 0.7752171 -1.1750242 0.000000 -0.75 -0.1219875 -1.6546893 0.7263720
## 9 0.7752171 -0.1305582 1.035098 0.25 0.8539126 0.8667420 0.7263720
## 10 0.7752171 0.9139077 1.035098 0.25 0.8539126 0.8667420 0.7263720
## 11 -1.7054776 -0.1305582 -1.035098 0.25 -1.0978876 -0.3939736 -1.3867102
## 12 -0.4651303 -2.2194901 0.000000 -1.75 -0.1219875 -0.3939736 -0.3301691
## 13 -1.7054776 -0.1305582 0.000000 -0.75 -0.1219875 -1.6546893 -1.3867102
## 14 0.7752171 -1.1750242 1.035098 1.25 0.8539126 0.8667420 -0.3301691
## 15 0.7752171 0.9139077 1.035098 1.25 0.8539126 0.8667420 0.7263720
## 16 0.7752171 0.9139077 1.035098 0.25 0.8539126 -0.3939736 0.7263720
## I16
## 1 1.2640060
## 2 1.2640060
## 3 0.3447289
## 4 -1.4938253
## 5 0.3447289
## 6 -0.5745482
## 7 -2.4131024
## 8 0.3447289
## 9 -0.5745482
## 10 -0.5745482
## 11 0.3447289
## 12 0.3447289
## 13 0.3447289
## 14 -0.5745482
## 15 0.3447289
## 16 1.2640060
## Ansiedade Estresse Depressão Controle_Inibitorio Memória
## 1 0.44110572 0.350929148 1.09797378 0.1980436 0.2960011
## 2 -0.21283662 -0.006790269 -0.23883165 -0.1795028 0.4851597
## 3 0.67383331 1.214564737 0.58314149 0.4629501 0.5590269
## 4 0.32119721 -0.537788060 -0.02096458 -1.2682518 -1.4376177
## 5 0.46774322 0.406301338 0.26239115 0.1484507 0.3299124
## 6 -0.38246396 -0.008469857 -0.04724342 0.2748002 -0.1093792
## 7 -0.28963310 -0.811719207 -1.05415028 -0.8236055 -0.6076290
## 8 -0.98754238 -1.284229365 -1.40587522 0.3647923 -0.0240226
## 9 -0.98754238 -0.639116075 -0.38319082 -0.2157893 -0.4032315
## 10 0.50221568 0.557082289 0.60027211 0.9926151 1.0954931
## 11 -0.08793143 -0.456878459 -0.42325942 -0.5801002 -0.6254538
## 12 -0.41896811 -0.652709029 -0.56992238 -0.7185093 -0.4937409
## 13 0.23244393 0.157233957 -0.23167120 -0.7292453 -0.2646265
## 14 0.20237849 1.198836404 0.60860718 0.4522141 -0.6185615
## 15 1.31792759 0.880466371 1.75220683 0.9430223 0.9229767
## 16 -0.79192718 -0.367713920 -0.52948356 0.6781158 0.8956928
## Flexibilidade_Cognitiva Regulação_Estado Aversão_Delay
## 1 1.07819296 0.6436802 0.7970265
## 2 0.20884018 0.6094720 0.7400634
## 3 -0.46574516 0.4528141 0.4131711
## 4 -0.90169477 -1.1354579 -1.2604943
## 5 0.30622390 -0.3464074 0.6083511
## 6 -1.43248165 -0.6945627 -0.4341357
## 7 -0.82688012 -0.3086688 -1.5626799
## 8 -0.38320520 0.2955249 -0.2911152
## 9 -0.05823906 0.6421189 0.4244957
## 10 1.07819296 0.8161966 0.4244957
## 11 -0.34349007 -1.1354579 -0.4567685
## 12 -0.34349007 -1.1426206 -0.4502803
## 13 -0.42228945 -0.7970658 -0.7137316
## 14 0.61634628 0.4680413 0.4131875
## 15 1.07819296 0.8161966 0.8083511
## 16 0.81152629 0.8161966 0.5400634## Ansiedade Estresse Depressão Controle_Inibitorio
## Ansiedade 1.00000000 0.7770852 0.8536129 0.2435368
## Estresse 0.77708520 1.0000000 0.8478446 0.5413385
## Depressão 0.85361295 0.8478446 1.0000000 0.4985571
## Controle_Inibitorio 0.24353680 0.5413385 0.4985571 1.0000000
## Memória 0.28029814 0.4410195 0.4213934 0.8317066
## Flexibilidade_Cognitiva 0.36678528 0.4618189 0.5808919 0.6380196
## Regulação_Estado 0.09343583 0.3862765 0.3839220 0.7787461
## Aversão_Delay 0.25636261 0.5708172 0.5900318 0.7573277
## Memória Flexibilidade_Cognitiva Regulação_Estado
## Ansiedade 0.2802981 0.3667853 0.09343583
## Estresse 0.4410195 0.4618189 0.38627651
## Depressão 0.4213934 0.5808919 0.38392196
## Controle_Inibitorio 0.8317066 0.6380196 0.77874615
## Memória 1.0000000 0.6501947 0.72230295
## Flexibilidade_Cognitiva 0.6501947 1.0000000 0.72077547
## Regulação_Estado 0.7223029 0.7207755 1.00000000
## Aversão_Delay 0.7407063 0.7789455 0.75934391
## Aversão_Delay
## Ansiedade 0.2563626
## Estresse 0.5708172
## Depressão 0.5900318
## Controle_Inibitorio 0.7573277
## Memória 0.7407063
## Flexibilidade_Cognitiva 0.7789455
## Regulação_Estado 0.7593439
## Aversão_Delay 1.0000000
Prevalência
Plots
## # A tibble: 60 × 3
## neurodivergence Desafio Prevalencia
## <chr> <chr> <dbl>
## 1 Tenho autismo/um transtorno do espectro autista (por exe… S1 100
## 2 Tenho autismo/um transtorno do espectro autista (por exe… S12 100
## 3 Tenho autismo/um transtorno do espectro autista (por exe… S3 100
## 4 Tenho autismo/um transtorno do espectro autista (por exe… S4 100
## 5 Tenho diferenças de aprendizagem (por exemplo, disléxico… S1 100
## 6 Tenho diferenças de aprendizagem (por exemplo, disléxico… S2 100
## 7 Tenho diferenças de aprendizagem (por exemplo, disléxico… S3 100
## 8 Tenho diferenças de aprendizagem (por exemplo, disléxico… S4 100
## 9 Tenho diferenças de aprendizagem (por exemplo, disléxico… S5 100
## 10 Tenho diferenças de aprendizagem (por exemplo, disléxico… S9 100
## # ℹ 50 more rows
