Análisis de variable dependiente
Variable independiente
Estadísticos descriptivos
[1] "character"# A tibble: 2 × 3
habito_lectura Freq Porcentaje
<fct> <int> <dbl>
1 No lee frecuentemente 2875 85.0
2 Sí lee frecuentemente 507 15.0[1] No lee frecuentemente
attr(,"freq")
[1] 2875
Levels: No lee frecuentemente Sí lee frecuentementeGráfico de frecuencias
tibble [3,382 × 11] (S3: tbl_df/tbl/data.frame)
$ asistencia_club : chr [1:3382] "2" "2" "2" "2" ...
$ asistencia_biblioteca: chr [1:3382] "2" "2" "2" "1" ...
$ asistencia_festival : chr [1:3382] "2" "2" "2" "1" ...
$ lengua_materna : chr [1:3382] "10" "10" "10" "10" ...
$ etnia : chr [1:3382] "6" "7" "6" "7" ...
$ nivel_educ : chr [1:3382] "5" "6" "6" "9" ...
$ estratosocio : num [1:3382] 5 5 5 5 5 5 5 5 4 4 ...
$ sexo : num [1:3382] 2 1 2 1 1 2 1 2 2 1 ...
$ edad : num [1:3382] 38 57 33 32 59 37 42 39 33 46 ...
$ UBIGEO : num [1:3382] 150202 150202 150202 150202 150202 ...
$ habito_lectura : Factor w/ 2 levels "No lee frecuentemente",..: 1 1 1 1 1 1 1 1 1 1 ...
- attr(*, "na.action")= 'omit' Named int [1:3408] 1 2 6 8 11 15 19 21 23 24 ...
..- attr(*, "names")= chr [1:3408] "1" "2" "6" "8" ...
1 10 11 12 3 4 5 6 8 9
1 540 666 120 41 64 185 1017 264 484
10 11 12 3 4 5 6 8 9
540 666 120 41 64 185 1017 264 484
1 2 3 4 5 6
280 520 807 929 766 80 Ord.factor w/ 6 levels "Rural"<"Bajo"<..: 2 2 2 2 2 2 2 2 3 3 ... chr [1:3382] "10" "10" "10" "10" "10" "10" "10" "10" "10" "10" "10" "10" ...
1 10 11 12 13 2 4 7
172 3195 1 3 3 6 1 1
Español Originaria
3202 180 chr [1:3382] "5" "6" "6" "9" "6" "11" "6" "11" "6" "11" "9" "9" "6" "9" ... Length Class Mode
3382 character character num [1:3382] 5 6 6 9 6 11 6 11 6 11 ... Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
3.000 6.000 9.000 8.293 10.000 12.000 1
3 4 5 6 8 9 10 11 12
41 64 185 1017 264 484 540 666 120 Ord.factor w/ 4 levels "Escolar"<"Tecnica"<..: 1 1 1 2 1 3 1 3 1 3 ...Chi-cuadrado
Análisis chi-cuadrado
Pruebas chi-cuadrado
Column {data-width=650}
Prueba 1
Pearson's Chi-squared test with Yates' continuity correction
data: tabla1
X-squared = 43.003, df = 1, p-value = 5.465e-11Prueba 2
Pearson's Chi-squared test with Yates' continuity correction
data: tabla2
X-squared = 14.898, df = 1, p-value = 0.0001135Prueba 3
Pearson's Chi-squared test with Yates' continuity correction
data: tabla3
X-squared = 9.27, df = 1, p-value = 0.002329Prueba 4
Pearson's Chi-squared test with Yates' continuity correction
data: tabla4
X-squared = 1.794e-28, df = 1, p-value = 1Prueba 5
Pearson's Chi-squared test
data: tabla5
X-squared = 6.2739, df = 4, p-value = 0.1796Prueba 6
Pearson's Chi-squared test
data: tabla6
X-squared = 23.818, df = 3, p-value = 2.726e-05Prueba 7
Pearson's Chi-squared test with Yates' continuity correction
data: tabla7
X-squared = 7.2711, df = 1, p-value = 0.007007Prueba 8
Pearson's Chi-squared test
data: tabla8
X-squared = 9.2341, df = 5, p-value = 0.1001Gráficos de las pruebas chi-cuadrado
1. Relación entre el hábito de lectura y la asistencia al club
Sí No
No lee frecuentemente 167 2708
Sí lee frecuentemente 71 436
2. Relación entre el hábito de lectura y la asistencia a la biblioteca
Sí No
No lee frecuentemente 354 2521
Sí lee frecuentemente 95 412
3. Relación entre el hábito de lectura y la asistencia a festivales del libro
Sí No
No lee frecuentemente 672 2203
Sí lee frecuentemente 151 356
4. Relación entre el hábito de lectura y la lengua materna
Español Originaria
No lee frecuentemente 2722 153
Sí lee frecuentemente 480 27
5. Relación entre el hábito de lectura y la etnia
Afroperuano Blanco Indigena Mestizo No sabe/No responde
No lee frecuentemente 53 128 312 2297 85
Sí lee frecuentemente 12 24 55 391 25
6. Relación entre el hábito de lectura y el nivel educativo
Escolar Tecnica Universitario Maestria/Doctorado
No lee frecuentemente 1143 644 1000 88
Sí lee frecuentemente 164 104 206 32
###7.Relación entre el hábito de lectura y el sexo
Hombre Mujer
No lee frecuentemente 1306 1569
Sí lee frecuentemente 197 310
###8.Relación entre el hábito de lectura y el estratosocioeconómico
Rural Bajo Medio bajo Medio Medio alto Alto
No lee frecuentemente 72 657 772 704 432 238
Sí lee frecuentemente 8 109 157 103 88 42
Regresión logística
Análisis de regresión
HIPÓTESIS
Regresiones
Regresión 1
| Regresión Logística - Habito de Lectura | |
|---|---|
| (Intercept) | -1.032*** |
| (0.222) | |
| asistencia_clubNo | -0.821*** |
| (0.155) | |
| asistencia_festivalNo | -0.175 |
| (0.113) | |
| asistencia_bibliotecaNo | -0.466*** |
| (0.139) | |
| sexoMujer | 0.254* |
| (0.100) | |
| edad | 0.011** |
| (0.004) | |
| Num.Obs. | 3381 |
| AIC | 2802.8 |
| BIC | 2839.6 |
| Log.Lik. | -1395.420 |
| F | 13.450 |
| RMSE | 0.35 |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
Regresión 2
| Regresión Logística - Habito de Lectura | |
|---|---|
| (Intercept) | -1.118*** |
| (0.244) | |
| asistencia_bibliotecaNo | -0.391** |
| (0.142) | |
| asistencia_festivalNo | -0.120 |
| (0.116) | |
| asistencia_clubNo | -0.780*** |
| (0.157) | |
| estratosocio.L | 0.004 |
| (0.261) | |
| estratosocio.Q | -0.221 |
| (0.234) | |
| estratosocio.C | 0.158 |
| (0.180) | |
| estratosocio^4 | -0.196 |
| (0.130) | |
| estratosocio^5 | -0.235* |
| (0.104) | |
| nivel_educ.L | 0.598*** |
| (0.164) | |
| nivel_educ.Q | 0.190 |
| (0.133) | |
| nivel_educ.C | 0.060 |
| (0.103) | |
| sexoMujer | 0.261** |
| (0.101) | |
| edad | 0.011** |
| (0.004) | |
| Num.Obs. | 3381 |
| AIC | 2796.8 |
| BIC | 2882.6 |
| Log.Lik. | -1384.396 |
| F | 6.758 |
| RMSE | 0.35 |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
Regresión 3
| Regresión Logística - Habito de Lectura | |
|---|---|
| (Intercept) | -0.873* |
| (0.402) | |
| asistencia_bibliotecaNo | -0.397** |
| (0.142) | |
| asistencia_festivalNo | -0.127 |
| (0.116) | |
| asistencia_clubNo | -0.776*** |
| (0.157) | |
| estratosocio.L | 0.017 |
| (0.262) | |
| estratosocio.Q | -0.246 |
| (0.235) | |
| estratosocio.C | 0.158 |
| (0.180) | |
| estratosocio^4 | -0.199 |
| (0.131) | |
| estratosocio^5 | -0.239* |
| (0.105) | |
| nivel_educ.L | 0.601*** |
| (0.164) | |
| nivel_educ.Q | 0.173 |
| (0.133) | |
| nivel_educ.C | 0.063 |
| (0.103) | |
| etniaBlanco | -0.152 |
| (0.400) | |
| etniaIndigena | -0.282 |
| (0.361) | |
| etniaMestizo | -0.298 |
| (0.333) | |
| etniaNo sabe/No responde | 0.354 |
| (0.402) | |
| sexoMujer | 0.264** |
| (0.101) | |
| edad | 0.012** |
| (0.004) | |
| Num.Obs. | 3381 |
| AIC | 2797.3 |
| BIC | 2907.5 |
| Log.Lik. | -1380.631 |
| F | 5.588 |
| RMSE | 0.35 |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
Regresión 4
| Regresión Logística | |
|---|---|
| (Intercept) | -0.866* |
| (0.403) | |
| asistencia_bibliotecaNo | -0.395** |
| (0.142) | |
| asistencia_festivalNo | -0.128 |
| (0.116) | |
| asistencia_clubNo | -0.777*** |
| (0.157) | |
| estratosocio.L | 0.025 |
| (0.263) | |
| estratosocio.Q | -0.251 |
| (0.235) | |
| estratosocio.C | 0.162 |
| (0.180) | |
| estratosocio^4 | -0.199 |
| (0.131) | |
| estratosocio^5 | -0.240* |
| (0.105) | |
| nivel_educ.L | 0.606*** |
| (0.165) | |
| nivel_educ.Q | 0.171 |
| (0.133) | |
| nivel_educ.C | 0.064 |
| (0.103) | |
| etniaBlanco | -0.154 |
| (0.400) | |
| etniaIndigena | -0.309 |
| (0.366) | |
| etniaMestizo | -0.302 |
| (0.333) | |
| etniaNo sabe/No responde | 0.351 |
| (0.403) | |
| lengua_maternaOriginaria | 0.111 |
| (0.234) | |
| sexoMujer | 0.265** |
| (0.101) | |
| edad | 0.012** |
| (0.004) | |
| Num.Obs. | 3381 |
| AIC | 2799.0 |
| BIC | 2915.4 |
| Log.Lik. | -1380.521 |
| F | 5.288 |
| RMSE | 0.35 |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
Comparación de modelos (coef. exponenciados)
| Modelo Logístico (I) | Modelo Logístico (II) | Modelo Logístico (III) | Modelo Logístico (IV) | |
|---|---|---|---|---|
| (Intercept) | 0.3564*** | 0.3269*** | 0.4178* | 0.4207* |
| [0.2299, 0.5482] | [0.2017, 0.5253] | [0.1840, 0.8987] | [0.1852, 0.9056] | |
| asistencia_clubNo | 0.4400*** | 0.4583*** | 0.4601*** | 0.4599*** |
| [0.3259, 0.5993] | [0.3384, 0.6263] | [0.3393, 0.6295] | [0.3391, 0.6292] | |
| asistencia_festivalNo | 0.8391 | 0.8871 | 0.8806 | 0.8794 |
| [0.6744, 1.0486] | [0.7084, 1.1155] | [0.7029, 1.1078] | [0.7018, 1.1065] | |
| asistencia_bibliotecaNo | 0.6276*** | 0.6764** | 0.6722** | 0.6734** |
| [0.4799, 0.8264] | [0.5140, 0.8962] | [0.5103, 0.8913] | [0.5111, 0.8931] | |
| sexoMujer | 1.2890* | 1.2982** | 1.3020** | 1.3034** |
| [1.0608, 1.5692] | [1.0670, 1.5827] | [1.0698, 1.5876] | [1.0709, 1.5895] | |
| edad | 1.0112** | 1.0115** | 1.0119** | 1.0116** |
| [1.0037, 1.0188] | [1.0038, 1.0193] | [1.0041, 1.0196] | [1.0038, 1.0195] | |
| estratosocio.L | 1.0044 | 1.0171 | 1.0257 | |
| [0.6173, 1.7363] | [0.6233, 1.7622] | [0.6278, 1.7792] | ||
| estratosocio.Q | 0.8020 | 0.7822 | 0.7784 | |
| [0.4893, 1.2358] | [0.4766, 1.2072] | [0.4741, 1.2020] | ||
| estratosocio.C | 1.1706 | 1.1713 | 1.1755 | |
| [0.8341, 1.6959] | [0.8338, 1.6983] | [0.8365, 1.7048] | ||
| estratosocio^4 | 0.8224 | 0.8199 | 0.8197 | |
| [0.6346, 1.0592] | [0.6324, 1.0567] | [0.6322, 1.0563] | ||
| estratosocio^5 | 0.7905* | 0.7871* | 0.7867* | |
| [0.6440, 0.9693] | [0.6409, 0.9658] | [0.6405, 0.9653] | ||
| nivel_educ.L | 1.8183*** | 1.8234*** | 1.8340*** | |
| [1.3094, 2.4945] | [1.3121, 2.5033] | [1.3186, 2.5204] | ||
| nivel_educ.Q | 1.2096 | 1.1888 | 1.1870 | |
| [0.9285, 1.5644] | [0.9114, 1.5392] | [0.9100, 1.5371] | ||
| nivel_educ.C | 1.0622 | 1.0654 | 1.0664 | |
| [0.8664, 1.2977] | [0.8688, 1.3021] | [0.8695, 1.3034] | ||
| etniaBlanco | 0.8591 | 0.8575 | ||
| [0.3982, 1.9321] | [0.3974, 1.9287] | |||
| etniaIndigena | 0.7540 | 0.7343 | ||
| [0.3814, 1.5885] | [0.3677, 1.5593] | |||
| etniaMestizo | 0.7424 | 0.7394 | ||
| [0.3997, 1.4914] | [0.3980, 1.4859] | |||
| etniaNo sabe/No responde | 1.4241 | 1.4199 | ||
| [0.6576, 3.2185] | [0.6556, 3.2097] | |||
| lengua_maternaOriginaria | 1.1169 | |||
| [0.6942, 1.7421] | ||||
| Num.Obs. | 3381 | 3381 | 3381 | 3381 |
| AIC | 2802.8 | 2796.8 | 2797.3 | 2799.0 |
| BIC | 2839.6 | 2882.6 | 2907.5 | 2915.4 |
| Log.Lik. | -1395.420 | -1384.396 | -1380.631 | -1380.521 |
| F | 13.450 | 6.758 | 5.588 | 5.288 |
| RMSE | 0.35 | 0.35 | 0.35 | 0.35 |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
Comparación de modelos
| #Df | LogLik | Df | Chisq | Pr(>Chisq) |
|---|---|---|---|---|
| 6 | -1395.420 | NA | NA | NA |
| 14 | -1384.396 | 8 | 22.0479400 | 0.0048278 |
| 18 | -1380.631 | 4 | 7.5308742 | 0.1103556 |
| 19 | -1380.521 | 1 | 0.2196676 | 0.6392933 |
comparacion visual de modelos
Efectos marginales
| factor | AME | SE | z | p | lower | upper |
|---|---|---|---|---|---|---|
| asistencia_bibliotecaNo | -0.0530887 | 0.0209794 | -2.5305139 | 0.0113896 | -0.0942077 | -0.0119698 |
| asistencia_clubNo | -0.1195239 | 0.0286036 | -4.1786276 | 0.0000293 | -0.1755860 | -0.0634618 |
| asistencia_festivalNo | -0.0151086 | 0.0148921 | -1.0145415 | 0.3103244 | -0.0442966 | 0.0140793 |
| edad | 0.0014173 | 0.0004821 | 2.9397816 | 0.0032844 | 0.0004724 | 0.0023623 |
| estratosocioAlto | 0.0098963 | 0.0436108 | 0.2269232 | 0.8204835 | -0.0755793 | 0.0953719 |
| estratosocioBajo | 0.0401974 | 0.0409893 | 0.9806806 | 0.3267503 | -0.0401401 | 0.1205350 |
| estratosocioMedio | 0.0032970 | 0.0405193 | 0.0813678 | 0.9351494 | -0.0761194 | 0.0827133 |
| estratosocioMedio alto | 0.0384929 | 0.0420193 | 0.9160758 | 0.3596271 | -0.0438635 | 0.1208493 |
| estratosocioMedio bajo | 0.0502895 | 0.0406423 | 1.2373686 | 0.2159503 | -0.0293680 | 0.1299470 |
| nivel_educMaestria/Doctorado | 0.1199847 | 0.0410269 | 2.9245371 | 0.0034497 | 0.0395735 | 0.2003960 |
| nivel_educTecnica | 0.0150206 | 0.0160031 | 0.9386088 | 0.3479316 | -0.0163448 | 0.0463860 |
| nivel_educUniversitario | 0.0388523 | 0.0153142 | 2.5370098 | 0.0111804 | 0.0088370 | 0.0688677 |
| sexoMujer | 0.0319072 | 0.0121348 | 2.6293902 | 0.0085538 | 0.0081234 | 0.0556910 |
Gráfico de efectos marginales
