Projeto - Metacog

Data cleaning process

To keep the original data, the first step of the data cleaning consists of duplicating the target/focal variables transforming it to numeric. This ensures that, if needed, we can return to the original (previous) version of the dataset and also that variables are number-only.

The second step is carried out at analyzing missing data in data. Values < 5% are considered not problematic..

The third step of the data cleaning needs to check all variables’ values. The minimum must be equal than 0 and the maximum can not be higher than 2. This step also checks if all variables are numeric.

Once certain values were negative and certain values were higher than 2, we replaced these values with missing code (NA_real_).

Then we checked it again. The boxplot shows all variables are in 0-2 boundaries, So, all ok.

Exploratory analysis will be partially performed outside R environment.

Descriptive analyses

Descriptive statistics were obtained using the skimr package and the psych package for the R statistical system. The average, standard deviation, percentile information and histograms were created for each item.

variable	type	stat	level	value	formatted
AEMME1_num	numeric	missing	.all	4.00	4
AEMME1_num	numeric	complete	.all	1253.00	1253
AEMME1_num	numeric	n	.all	1257.00	1257
AEMME1_num	numeric	mean	.all	1.14	1.14
AEMME1_num	numeric	sd	.all	0.56	0.56
AEMME1_num	numeric	p0	.all	0.00	0
AEMME1_num	numeric	p25	.all	1.00	1
AEMME1_num	numeric	p50	.all	1.00	1
AEMME1_num	numeric	p75	.all	1.00	1
AEMME1_num	numeric	p100	.all	2.00	2
AEMME1_num	numeric	hist	.all	NA	▁▁▁▇▁▁▁▃
AEMME2_num	numeric	missing	.all	6.00	6
AEMME2_num	numeric	complete	.all	1251.00	1251
AEMME2_num	numeric	n	.all	1257.00	1257
AEMME2_num	numeric	mean	.all	1.16	1.16
AEMME2_num	numeric	sd	.all	0.68	0.68
AEMME2_num	numeric	p0	.all	0.00	0
AEMME2_num	numeric	p25	.all	1.00	1
AEMME2_num	numeric	p50	.all	1.00	1
AEMME2_num	numeric	p75	.all	2.00	2
AEMME2_num	numeric	p100	.all	2.00	2
AEMME2_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME3_num	numeric	missing	.all	12.00	12
AEMME3_num	numeric	complete	.all	1245.00	1245
AEMME3_num	numeric	n	.all	1257.00	1257
AEMME3_num	numeric	mean	.all	1.26	1.26
AEMME3_num	numeric	sd	.all	0.69	0.69
AEMME3_num	numeric	p0	.all	0.00	0
AEMME3_num	numeric	p25	.all	1.00	1
AEMME3_num	numeric	p50	.all	1.00	1
AEMME3_num	numeric	p75	.all	2.00	2
AEMME3_num	numeric	p100	.all	2.00	2
AEMME3_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▇
AEMME4_num	numeric	missing	.all	15.00	15
AEMME4_num	numeric	complete	.all	1242.00	1242
AEMME4_num	numeric	n	.all	1257.00	1257
AEMME4_num	numeric	mean	.all	1.11	1.11
AEMME4_num	numeric	sd	.all	0.74	0.74
AEMME4_num	numeric	p0	.all	0.00	0
AEMME4_num	numeric	p25	.all	1.00	1
AEMME4_num	numeric	p50	.all	1.00	1
AEMME4_num	numeric	p75	.all	2.00	2
AEMME4_num	numeric	p100	.all	2.00	2
AEMME4_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▆
AEMME5_num	numeric	missing	.all	5.00	5
AEMME5_num	numeric	complete	.all	1252.00	1252
AEMME5_num	numeric	n	.all	1257.00	1257
AEMME5_num	numeric	mean	.all	0.99	0.99
AEMME5_num	numeric	sd	.all	0.73	0.73
AEMME5_num	numeric	p0	.all	0.00	0
AEMME5_num	numeric	p25	.all	0.00	0
AEMME5_num	numeric	p50	.all	1.00	1
AEMME5_num	numeric	p75	.all	2.00	2
AEMME5_num	numeric	p100	.all	2.00	2
AEMME5_num	numeric	hist	.all	NA	▅▁▁▇▁▁▁▅
AEMME6_num	numeric	missing	.all	4.00	4
AEMME6_num	numeric	complete	.all	1253.00	1253
AEMME6_num	numeric	n	.all	1257.00	1257
AEMME6_num	numeric	mean	.all	0.95	0.95
AEMME6_num	numeric	sd	.all	0.74	0.74
AEMME6_num	numeric	p0	.all	0.00	0
AEMME6_num	numeric	p25	.all	0.00	0
AEMME6_num	numeric	p50	.all	1.00	1
AEMME6_num	numeric	p75	.all	1.00	1
AEMME6_num	numeric	p100	.all	2.00	2
AEMME6_num	numeric	hist	.all	NA	▅▁▁▇▁▁▁▅
AEMME7_num	numeric	missing	.all	9.00	9
AEMME7_num	numeric	complete	.all	1248.00	1248
AEMME7_num	numeric	n	.all	1257.00	1257
AEMME7_num	numeric	mean	.all	1.03	1.03
AEMME7_num	numeric	sd	.all	0.73	0.73
AEMME7_num	numeric	p0	.all	0.00	0
AEMME7_num	numeric	p25	.all	0.00	0
AEMME7_num	numeric	p50	.all	1.00	1
AEMME7_num	numeric	p75	.all	2.00	2
AEMME7_num	numeric	p100	.all	2.00	2
AEMME7_num	numeric	hist	.all	NA	▅▁▁▇▁▁▁▅
AEMME8_num	numeric	missing	.all	9.00	9
AEMME8_num	numeric	complete	.all	1248.00	1248
AEMME8_num	numeric	n	.all	1257.00	1257
AEMME8_num	numeric	mean	.all	1.34	1.34
AEMME8_num	numeric	sd	.all	0.67	0.67
AEMME8_num	numeric	p0	.all	0.00	0
AEMME8_num	numeric	p25	.all	1.00	1
AEMME8_num	numeric	p50	.all	1.00	1
AEMME8_num	numeric	p75	.all	2.00	2
AEMME8_num	numeric	p100	.all	2.00	2
AEMME8_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▇
AEMME9_num	numeric	missing	.all	6.00	6
AEMME9_num	numeric	complete	.all	1251.00	1251
AEMME9_num	numeric	n	.all	1257.00	1257
AEMME9_num	numeric	mean	.all	0.97	0.97
AEMME9_num	numeric	sd	.all	0.74	0.74
AEMME9_num	numeric	p0	.all	0.00	0
AEMME9_num	numeric	p25	.all	0.00	0
AEMME9_num	numeric	p50	.all	1.00	1
AEMME9_num	numeric	p75	.all	2.00	2
AEMME9_num	numeric	p100	.all	2.00	2
AEMME9_num	numeric	hist	.all	NA	▅▁▁▇▁▁▁▅
AEMME10_num	numeric	missing	.all	2.00	2
AEMME10_num	numeric	complete	.all	1255.00	1255
AEMME10_num	numeric	n	.all	1257.00	1257
AEMME10_num	numeric	mean	.all	1.16	1.16
AEMME10_num	numeric	sd	.all	0.66	0.66
AEMME10_num	numeric	p0	.all	0.00	0
AEMME10_num	numeric	p25	.all	1.00	1
AEMME10_num	numeric	p50	.all	1.00	1
AEMME10_num	numeric	p75	.all	2.00	2
AEMME10_num	numeric	p100	.all	2.00	2
AEMME10_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME11_num	numeric	missing	.all	1.00	1
AEMME11_num	numeric	complete	.all	1256.00	1256
AEMME11_num	numeric	n	.all	1257.00	1257
AEMME11_num	numeric	mean	.all	1.15	1.15
AEMME11_num	numeric	sd	.all	0.66	0.66
AEMME11_num	numeric	p0	.all	0.00	0
AEMME11_num	numeric	p25	.all	1.00	1
AEMME11_num	numeric	p50	.all	1.00	1
AEMME11_num	numeric	p75	.all	2.00	2
AEMME11_num	numeric	p100	.all	2.00	2
AEMME11_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME12_num	numeric	missing	.all	5.00	5
AEMME12_num	numeric	complete	.all	1252.00	1252
AEMME12_num	numeric	n	.all	1257.00	1257
AEMME12_num	numeric	mean	.all	1.31	1.31
AEMME12_num	numeric	sd	.all	0.70	0.7
AEMME12_num	numeric	p0	.all	0.00	0
AEMME12_num	numeric	p25	.all	1.00	1
AEMME12_num	numeric	p50	.all	1.00	1
AEMME12_num	numeric	p75	.all	2.00	2
AEMME12_num	numeric	p100	.all	2.00	2
AEMME12_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▇
AEMME13_num	numeric	missing	.all	6.00	6
AEMME13_num	numeric	complete	.all	1251.00	1251
AEMME13_num	numeric	n	.all	1257.00	1257
AEMME13_num	numeric	mean	.all	1.09	1.09
AEMME13_num	numeric	sd	.all	0.66	0.66
AEMME13_num	numeric	p0	.all	0.00	0
AEMME13_num	numeric	p25	.all	1.00	1
AEMME13_num	numeric	p50	.all	1.00	1
AEMME13_num	numeric	p75	.all	2.00	2
AEMME13_num	numeric	p100	.all	2.00	2
AEMME13_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▃
AEMME14_num	numeric	missing	.all	4.00	4
AEMME14_num	numeric	complete	.all	1253.00	1253
AEMME14_num	numeric	n	.all	1257.00	1257
AEMME14_num	numeric	mean	.all	1.04	1.04
AEMME14_num	numeric	sd	.all	0.69	0.69
AEMME14_num	numeric	p0	.all	0.00	0
AEMME14_num	numeric	p25	.all	1.00	1
AEMME14_num	numeric	p50	.all	1.00	1
AEMME14_num	numeric	p75	.all	2.00	2
AEMME14_num	numeric	p100	.all	2.00	2
AEMME14_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▃
AEMME15_num	numeric	missing	.all	10.00	10
AEMME15_num	numeric	complete	.all	1247.00	1247
AEMME15_num	numeric	n	.all	1257.00	1257
AEMME15_num	numeric	mean	.all	0.63	0.63
AEMME15_num	numeric	sd	.all	0.72	0.72
AEMME15_num	numeric	p0	.all	0.00	0
AEMME15_num	numeric	p25	.all	0.00	0
AEMME15_num	numeric	p50	.all	0.00	0
AEMME15_num	numeric	p75	.all	1.00	1
AEMME15_num	numeric	p100	.all	2.00	2
AEMME15_num	numeric	hist	.all	NA	▇▁▁▅▁▁▁▂
AEMME16_num	numeric	missing	.all	10.00	10
AEMME16_num	numeric	complete	.all	1247.00	1247
AEMME16_num	numeric	n	.all	1257.00	1257
AEMME16_num	numeric	mean	.all	1.04	1.04
AEMME16_num	numeric	sd	.all	0.83	0.83
AEMME16_num	numeric	p0	.all	0.00	0
AEMME16_num	numeric	p25	.all	0.00	0
AEMME16_num	numeric	p50	.all	1.00	1
AEMME16_num	numeric	p75	.all	2.00	2
AEMME16_num	numeric	p100	.all	2.00	2
AEMME16_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▇
AEMME17_num	numeric	missing	.all	10.00	10
AEMME17_num	numeric	complete	.all	1247.00	1247
AEMME17_num	numeric	n	.all	1257.00	1257
AEMME17_num	numeric	mean	.all	1.24	1.24
AEMME17_num	numeric	sd	.all	0.71	0.71
AEMME17_num	numeric	p0	.all	0.00	0
AEMME17_num	numeric	p25	.all	1.00	1
AEMME17_num	numeric	p50	.all	1.00	1
AEMME17_num	numeric	p75	.all	2.00	2
AEMME17_num	numeric	p100	.all	2.00	2
AEMME17_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▇
AEMME18_num	numeric	missing	.all	4.00	4
AEMME18_num	numeric	complete	.all	1253.00	1253
AEMME18_num	numeric	n	.all	1257.00	1257
AEMME18_num	numeric	mean	.all	1.74	1.74
AEMME18_num	numeric	sd	.all	0.50	0.5
AEMME18_num	numeric	p0	.all	0.00	0
AEMME18_num	numeric	p25	.all	2.00	2
AEMME18_num	numeric	p50	.all	2.00	2
AEMME18_num	numeric	p75	.all	2.00	2
AEMME18_num	numeric	p100	.all	2.00	2
AEMME18_num	numeric	hist	.all	NA	▁▁▁▂▁▁▁▇
AEMME19_num	numeric	missing	.all	9.00	9
AEMME19_num	numeric	complete	.all	1248.00	1248
AEMME19_num	numeric	n	.all	1257.00	1257
AEMME19_num	numeric	mean	.all	0.98	0.98
AEMME19_num	numeric	sd	.all	0.64	0.64
AEMME19_num	numeric	p0	.all	0.00	0
AEMME19_num	numeric	p25	.all	1.00	1
AEMME19_num	numeric	p50	.all	1.00	1
AEMME19_num	numeric	p75	.all	1.00	1
AEMME19_num	numeric	p100	.all	2.00	2
AEMME19_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▂
AEMME20_num	numeric	missing	.all	6.00	6
AEMME20_num	numeric	complete	.all	1251.00	1251
AEMME20_num	numeric	n	.all	1257.00	1257
AEMME20_num	numeric	mean	.all	1.16	1.16
AEMME20_num	numeric	sd	.all	0.64	0.64
AEMME20_num	numeric	p0	.all	0.00	0
AEMME20_num	numeric	p25	.all	1.00	1
AEMME20_num	numeric	p50	.all	1.00	1
AEMME20_num	numeric	p75	.all	2.00	2
AEMME20_num	numeric	p100	.all	2.00	2
AEMME20_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME21_num	numeric	missing	.all	9.00	9
AEMME21_num	numeric	complete	.all	1248.00	1248
AEMME21_num	numeric	n	.all	1257.00	1257
AEMME21_num	numeric	mean	.all	0.62	0.62
AEMME21_num	numeric	sd	.all	0.69	0.69
AEMME21_num	numeric	p0	.all	0.00	0
AEMME21_num	numeric	p25	.all	0.00	0
AEMME21_num	numeric	p50	.all	0.00	0
AEMME21_num	numeric	p75	.all	1.00	1
AEMME21_num	numeric	p100	.all	2.00	2
AEMME21_num	numeric	hist	.all	NA	▇▁▁▆▁▁▁▂
AEMME22_num	numeric	missing	.all	13.00	13
AEMME22_num	numeric	complete	.all	1244.00	1244
AEMME22_num	numeric	n	.all	1257.00	1257
AEMME22_num	numeric	mean	.all	0.88	0.88
AEMME22_num	numeric	sd	.all	0.75	0.75
AEMME22_num	numeric	p0	.all	0.00	0
AEMME22_num	numeric	p25	.all	0.00	0
AEMME22_num	numeric	p50	.all	1.00	1
AEMME22_num	numeric	p75	.all	1.00	1
AEMME22_num	numeric	p100	.all	2.00	2
AEMME22_num	numeric	hist	.all	NA	▆▁▁▇▁▁▁▅
AEMME23_num	numeric	missing	.all	7.00	7
AEMME23_num	numeric	complete	.all	1250.00	1250
AEMME23_num	numeric	n	.all	1257.00	1257
AEMME23_num	numeric	mean	.all	0.92	0.92
AEMME23_num	numeric	sd	.all	0.69	0.69
AEMME23_num	numeric	p0	.all	0.00	0
AEMME23_num	numeric	p25	.all	0.00	0
AEMME23_num	numeric	p50	.all	1.00	1
AEMME23_num	numeric	p75	.all	1.00	1
AEMME23_num	numeric	p100	.all	2.00	2
AEMME23_num	numeric	hist	.all	NA	▅▁▁▇▁▁▁▃
AEMME24_num	numeric	missing	.all	12.00	12
AEMME24_num	numeric	complete	.all	1245.00	1245
AEMME24_num	numeric	n	.all	1257.00	1257
AEMME24_num	numeric	mean	.all	0.90	0.9
AEMME24_num	numeric	sd	.all	0.66	0.66
AEMME24_num	numeric	p0	.all	0.00	0
AEMME24_num	numeric	p25	.all	0.00	0
AEMME24_num	numeric	p50	.all	1.00	1
AEMME24_num	numeric	p75	.all	1.00	1
AEMME24_num	numeric	p100	.all	2.00	2
AEMME24_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▂
AEMME25_num	numeric	missing	.all	16.00	16
AEMME25_num	numeric	complete	.all	1241.00	1241
AEMME25_num	numeric	n	.all	1257.00	1257
AEMME25_num	numeric	mean	.all	0.57	0.57
AEMME25_num	numeric	sd	.all	0.66	0.66
AEMME25_num	numeric	p0	.all	0.00	0
AEMME25_num	numeric	p25	.all	0.00	0
AEMME25_num	numeric	p50	.all	0.00	0
AEMME25_num	numeric	p75	.all	1.00	1
AEMME25_num	numeric	p100	.all	2.00	2
AEMME25_num	numeric	hist	.all	NA	▇▁▁▆▁▁▁▂
AEMME26_num	numeric	missing	.all	9.00	9
AEMME26_num	numeric	complete	.all	1248.00	1248
AEMME26_num	numeric	n	.all	1257.00	1257
AEMME26_num	numeric	mean	.all	1.53	1.53
AEMME26_num	numeric	sd	.all	0.63	0.63
AEMME26_num	numeric	p0	.all	0.00	0
AEMME26_num	numeric	p25	.all	1.00	1
AEMME26_num	numeric	p50	.all	2.00	2
AEMME26_num	numeric	p75	.all	2.00	2
AEMME26_num	numeric	p100	.all	2.00	2
AEMME26_num	numeric	hist	.all	NA	▁▁▁▅▁▁▁▇
AEMME27_num	numeric	missing	.all	1.00	1
AEMME27_num	numeric	complete	.all	1256.00	1256
AEMME27_num	numeric	n	.all	1257.00	1257
AEMME27_num	numeric	mean	.all	1.10	1.1
AEMME27_num	numeric	sd	.all	0.67	0.67
AEMME27_num	numeric	p0	.all	0.00	0
AEMME27_num	numeric	p25	.all	1.00	1
AEMME27_num	numeric	p50	.all	1.00	1
AEMME27_num	numeric	p75	.all	2.00	2
AEMME27_num	numeric	p100	.all	2.00	2
AEMME27_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME28_num	numeric	missing	.all	4.00	4
AEMME28_num	numeric	complete	.all	1253.00	1253
AEMME28_num	numeric	n	.all	1257.00	1257
AEMME28_num	numeric	mean	.all	0.60	0.6
AEMME28_num	numeric	sd	.all	0.67	0.67
AEMME28_num	numeric	p0	.all	0.00	0
AEMME28_num	numeric	p25	.all	0.00	0
AEMME28_num	numeric	p50	.all	0.00	0
AEMME28_num	numeric	p75	.all	1.00	1
AEMME28_num	numeric	p100	.all	2.00	2
AEMME28_num	numeric	hist	.all	NA	▇▁▁▆▁▁▁▂
AEMME29_num	numeric	missing	.all	7.00	7
AEMME29_num	numeric	complete	.all	1250.00	1250
AEMME29_num	numeric	n	.all	1257.00	1257
AEMME29_num	numeric	mean	.all	1.16	1.16
AEMME29_num	numeric	sd	.all	0.60	0.6
AEMME29_num	numeric	p0	.all	0.00	0
AEMME29_num	numeric	p25	.all	1.00	1
AEMME29_num	numeric	p50	.all	1.00	1
AEMME29_num	numeric	p75	.all	2.00	2
AEMME29_num	numeric	p100	.all	2.00	2
AEMME29_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▃
AEMME30_num	numeric	missing	.all	6.00	6
AEMME30_num	numeric	complete	.all	1251.00	1251
AEMME30_num	numeric	n	.all	1257.00	1257
AEMME30_num	numeric	mean	.all	1.18	1.18
AEMME30_num	numeric	sd	.all	0.66	0.66
AEMME30_num	numeric	p0	.all	0.00	0
AEMME30_num	numeric	p25	.all	1.00	1
AEMME30_num	numeric	p50	.all	1.00	1
AEMME30_num	numeric	p75	.all	2.00	2
AEMME30_num	numeric	p100	.all	2.00	2
AEMME30_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME31_num	numeric	missing	.all	9.00	9
AEMME31_num	numeric	complete	.all	1248.00	1248
AEMME31_num	numeric	n	.all	1257.00	1257
AEMME31_num	numeric	mean	.all	0.94	0.94
AEMME31_num	numeric	sd	.all	0.71	0.71
AEMME31_num	numeric	p0	.all	0.00	0
AEMME31_num	numeric	p25	.all	0.00	0
AEMME31_num	numeric	p50	.all	1.00	1
AEMME31_num	numeric	p75	.all	1.00	1
AEMME31_num	numeric	p100	.all	2.00	2
AEMME31_num	numeric	hist	.all	NA	▅▁▁▇▁▁▁▃
AEMME32_num	numeric	missing	.all	13.00	13
AEMME32_num	numeric	complete	.all	1244.00	1244
AEMME32_num	numeric	n	.all	1257.00	1257
AEMME32_num	numeric	mean	.all	1.05	1.05
AEMME32_num	numeric	sd	.all	0.64	0.64
AEMME32_num	numeric	p0	.all	0.00	0
AEMME32_num	numeric	p25	.all	1.00	1
AEMME32_num	numeric	p50	.all	1.00	1
AEMME32_num	numeric	p75	.all	1.00	1
AEMME32_num	numeric	p100	.all	2.00	2
AEMME32_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▃
AEMME33_num	numeric	missing	.all	9.00	9
AEMME33_num	numeric	complete	.all	1248.00	1248
AEMME33_num	numeric	n	.all	1257.00	1257
AEMME33_num	numeric	mean	.all	1.66	1.66
AEMME33_num	numeric	sd	.all	0.56	0.56
AEMME33_num	numeric	p0	.all	0.00	0
AEMME33_num	numeric	p25	.all	1.00	1
AEMME33_num	numeric	p50	.all	2.00	2
AEMME33_num	numeric	p75	.all	2.00	2
AEMME33_num	numeric	p100	.all	2.00	2
AEMME33_num	numeric	hist	.all	NA	▁▁▁▃▁▁▁▇
AEMME34_num	numeric	missing	.all	7.00	7
AEMME34_num	numeric	complete	.all	1250.00	1250
AEMME34_num	numeric	n	.all	1257.00	1257
AEMME34_num	numeric	mean	.all	0.93	0.93
AEMME34_num	numeric	sd	.all	0.72	0.72
AEMME34_num	numeric	p0	.all	0.00	0
AEMME34_num	numeric	p25	.all	0.00	0
AEMME34_num	numeric	p50	.all	1.00	1
AEMME34_num	numeric	p75	.all	1.00	1
AEMME34_num	numeric	p100	.all	2.00	2
AEMME34_num	numeric	hist	.all	NA	▅▁▁▇▁▁▁▃
AEMME35_num	numeric	missing	.all	5.00	5
AEMME35_num	numeric	complete	.all	1252.00	1252
AEMME35_num	numeric	n	.all	1257.00	1257
AEMME35_num	numeric	mean	.all	1.11	1.11
AEMME35_num	numeric	sd	.all	0.73	0.73
AEMME35_num	numeric	p0	.all	0.00	0
AEMME35_num	numeric	p25	.all	1.00	1
AEMME35_num	numeric	p50	.all	1.00	1
AEMME35_num	numeric	p75	.all	2.00	2
AEMME35_num	numeric	p100	.all	2.00	2
AEMME35_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▆
AEMME36_num	numeric	missing	.all	11.00	11
AEMME36_num	numeric	complete	.all	1246.00	1246
AEMME36_num	numeric	n	.all	1257.00	1257
AEMME36_num	numeric	mean	.all	0.99	0.99
AEMME36_num	numeric	sd	.all	0.59	0.59
AEMME36_num	numeric	p0	.all	0.00	0
AEMME36_num	numeric	p25	.all	1.00	1
AEMME36_num	numeric	p50	.all	1.00	1
AEMME36_num	numeric	p75	.all	1.00	1
AEMME36_num	numeric	p100	.all	2.00	2
AEMME36_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▂
AEMME37_num	numeric	missing	.all	6.00	6
AEMME37_num	numeric	complete	.all	1251.00	1251
AEMME37_num	numeric	n	.all	1257.00	1257
AEMME37_num	numeric	mean	.all	1.06	1.06
AEMME37_num	numeric	sd	.all	0.59	0.59
AEMME37_num	numeric	p0	.all	0.00	0
AEMME37_num	numeric	p25	.all	1.00	1
AEMME37_num	numeric	p50	.all	1.00	1
AEMME37_num	numeric	p75	.all	1.00	1
AEMME37_num	numeric	p100	.all	2.00	2
AEMME37_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▂
AEMME38_num	numeric	missing	.all	8.00	8
AEMME38_num	numeric	complete	.all	1249.00	1249
AEMME38_num	numeric	n	.all	1257.00	1257
AEMME38_num	numeric	mean	.all	1.24	1.24
AEMME38_num	numeric	sd	.all	0.75	0.75
AEMME38_num	numeric	p0	.all	0.00	0
AEMME38_num	numeric	p25	.all	1.00	1
AEMME38_num	numeric	p50	.all	1.00	1
AEMME38_num	numeric	p75	.all	2.00	2
AEMME38_num	numeric	p100	.all	2.00	2
AEMME38_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▇
AEMME39_num	numeric	missing	.all	8.00	8
AEMME39_num	numeric	complete	.all	1249.00	1249
AEMME39_num	numeric	n	.all	1257.00	1257
AEMME39_num	numeric	mean	.all	1.32	1.32
AEMME39_num	numeric	sd	.all	0.67	0.67
AEMME39_num	numeric	p0	.all	0.00	0
AEMME39_num	numeric	p25	.all	1.00	1
AEMME39_num	numeric	p50	.all	1.00	1
AEMME39_num	numeric	p75	.all	2.00	2
AEMME39_num	numeric	p100	.all	2.00	2
AEMME39_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▇
AEMME40_num	numeric	missing	.all	6.00	6
AEMME40_num	numeric	complete	.all	1251.00	1251
AEMME40_num	numeric	n	.all	1257.00	1257
AEMME40_num	numeric	mean	.all	1.13	1.13
AEMME40_num	numeric	sd	.all	0.67	0.67
AEMME40_num	numeric	p0	.all	0.00	0
AEMME40_num	numeric	p25	.all	1.00	1
AEMME40_num	numeric	p50	.all	1.00	1
AEMME40_num	numeric	p75	.all	2.00	2
AEMME40_num	numeric	p100	.all	2.00	2
AEMME40_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME41_num	numeric	missing	.all	4.00	4
AEMME41_num	numeric	complete	.all	1253.00	1253
AEMME41_num	numeric	n	.all	1257.00	1257
AEMME41_num	numeric	mean	.all	0.76	0.76
AEMME41_num	numeric	sd	.all	0.66	0.66
AEMME41_num	numeric	p0	.all	0.00	0
AEMME41_num	numeric	p25	.all	0.00	0
AEMME41_num	numeric	p50	.all	1.00	1
AEMME41_num	numeric	p75	.all	1.00	1
AEMME41_num	numeric	p100	.all	2.00	2
AEMME41_num	numeric	hist	.all	NA	▆▁▁▇▁▁▁▂
AEMME42_num	numeric	missing	.all	10.00	10
AEMME42_num	numeric	complete	.all	1247.00	1247
AEMME42_num	numeric	n	.all	1257.00	1257
AEMME42_num	numeric	mean	.all	0.94	0.94
AEMME42_num	numeric	sd	.all	0.74	0.74
AEMME42_num	numeric	p0	.all	0.00	0
AEMME42_num	numeric	p25	.all	0.00	0
AEMME42_num	numeric	p50	.all	1.00	1
AEMME42_num	numeric	p75	.all	1.00	1
AEMME42_num	numeric	p100	.all	2.00	2
AEMME42_num	numeric	hist	.all	NA	▆▁▁▇▁▁▁▅
AEMME43_num	numeric	missing	.all	7.00	7
AEMME43_num	numeric	complete	.all	1250.00	1250
AEMME43_num	numeric	n	.all	1257.00	1257
AEMME43_num	numeric	mean	.all	0.78	0.78
AEMME43_num	numeric	sd	.all	0.73	0.73
AEMME43_num	numeric	p0	.all	0.00	0
AEMME43_num	numeric	p25	.all	0.00	0
AEMME43_num	numeric	p50	.all	1.00	1
AEMME43_num	numeric	p75	.all	1.00	1
AEMME43_num	numeric	p100	.all	2.00	2
AEMME43_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▃
AEMME44_num	numeric	missing	.all	4.00	4
AEMME44_num	numeric	complete	.all	1253.00	1253
AEMME44_num	numeric	n	.all	1257.00	1257
AEMME44_num	numeric	mean	.all	1.32	1.32
AEMME44_num	numeric	sd	.all	0.70	0.7
AEMME44_num	numeric	p0	.all	0.00	0
AEMME44_num	numeric	p25	.all	1.00	1
AEMME44_num	numeric	p50	.all	1.00	1
AEMME44_num	numeric	p75	.all	2.00	2
AEMME44_num	numeric	p100	.all	2.00	2
AEMME44_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▇
AEMME45_num	numeric	missing	.all	3.00	3
AEMME45_num	numeric	complete	.all	1254.00	1254
AEMME45_num	numeric	n	.all	1257.00	1257
AEMME45_num	numeric	mean	.all	0.92	0.92
AEMME45_num	numeric	sd	.all	0.84	0.84
AEMME45_num	numeric	p0	.all	0.00	0
AEMME45_num	numeric	p25	.all	0.00	0
AEMME45_num	numeric	p50	.all	1.00	1
AEMME45_num	numeric	p75	.all	2.00	2
AEMME45_num	numeric	p100	.all	2.00	2
AEMME45_num	numeric	hist	.all	NA	▇▁▁▆▁▁▁▆
AEMME46_num	numeric	missing	.all	2.00	2
AEMME46_num	numeric	complete	.all	1255.00	1255
AEMME46_num	numeric	n	.all	1257.00	1257
AEMME46_num	numeric	mean	.all	1.05	1.05
AEMME46_num	numeric	sd	.all	0.77	0.77
AEMME46_num	numeric	p0	.all	0.00	0
AEMME46_num	numeric	p25	.all	0.00	0
AEMME46_num	numeric	p50	.all	1.00	1
AEMME46_num	numeric	p75	.all	2.00	2
AEMME46_num	numeric	p100	.all	2.00	2
AEMME46_num	numeric	hist	.all	NA	▆▁▁▇▁▁▁▆
AEMME47_num	numeric	missing	.all	5.00	5
AEMME47_num	numeric	complete	.all	1252.00	1252
AEMME47_num	numeric	n	.all	1257.00	1257
AEMME47_num	numeric	mean	.all	1.32	1.32
AEMME47_num	numeric	sd	.all	0.72	0.72
AEMME47_num	numeric	p0	.all	0.00	0
AEMME47_num	numeric	p25	.all	1.00	1
AEMME47_num	numeric	p50	.all	1.00	1
AEMME47_num	numeric	p75	.all	2.00	2
AEMME47_num	numeric	p100	.all	2.00	2
AEMME47_num	numeric	hist	.all	NA	▂▁▁▆▁▁▁▇
AEMME48_num	numeric	missing	.all	7.00	7
AEMME48_num	numeric	complete	.all	1250.00	1250
AEMME48_num	numeric	n	.all	1257.00	1257
AEMME48_num	numeric	mean	.all	1.03	1.03
AEMME48_num	numeric	sd	.all	0.76	0.76
AEMME48_num	numeric	p0	.all	0.00	0
AEMME48_num	numeric	p25	.all	0.00	0
AEMME48_num	numeric	p50	.all	1.00	1
AEMME48_num	numeric	p75	.all	2.00	2
AEMME48_num	numeric	p100	.all	2.00	2
AEMME48_num	numeric	hist	.all	NA	▆▁▁▇▁▁▁▆
AEMME49_num	numeric	missing	.all	13.00	13
AEMME49_num	numeric	complete	.all	1244.00	1244
AEMME49_num	numeric	n	.all	1257.00	1257
AEMME49_num	numeric	mean	.all	0.92	0.92
AEMME49_num	numeric	sd	.all	0.79	0.79
AEMME49_num	numeric	p0	.all	0.00	0
AEMME49_num	numeric	p25	.all	0.00	0
AEMME49_num	numeric	p50	.all	1.00	1
AEMME49_num	numeric	p75	.all	2.00	2
AEMME49_num	numeric	p100	.all	2.00	2
AEMME49_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▆
AEMME50_num	numeric	missing	.all	8.00	8
AEMME50_num	numeric	complete	.all	1249.00	1249
AEMME50_num	numeric	n	.all	1257.00	1257
AEMME50_num	numeric	mean	.all	1.29	1.29
AEMME50_num	numeric	sd	.all	0.65	0.65
AEMME50_num	numeric	p0	.all	0.00	0
AEMME50_num	numeric	p25	.all	1.00	1
AEMME50_num	numeric	p50	.all	1.00	1
AEMME50_num	numeric	p75	.all	2.00	2
AEMME50_num	numeric	p100	.all	2.00	2
AEMME50_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▆
AEMME51_num	numeric	missing	.all	12.00	12
AEMME51_num	numeric	complete	.all	1245.00	1245
AEMME51_num	numeric	n	.all	1257.00	1257
AEMME51_num	numeric	mean	.all	1.66	1.66
AEMME51_num	numeric	sd	.all	0.58	0.58
AEMME51_num	numeric	p0	.all	0.00	0
AEMME51_num	numeric	p25	.all	1.00	1
AEMME51_num	numeric	p50	.all	2.00	2
AEMME51_num	numeric	p75	.all	2.00	2
AEMME51_num	numeric	p100	.all	2.00	2
AEMME51_num	numeric	hist	.all	NA	▁▁▁▂▁▁▁▇
AEMME52_num	numeric	missing	.all	10.00	10
AEMME52_num	numeric	complete	.all	1247.00	1247
AEMME52_num	numeric	n	.all	1257.00	1257
AEMME52_num	numeric	mean	.all	1.52	1.52
AEMME52_num	numeric	sd	.all	0.61	0.61
AEMME52_num	numeric	p0	.all	0.00	0
AEMME52_num	numeric	p25	.all	1.00	1
AEMME52_num	numeric	p50	.all	2.00	2
AEMME52_num	numeric	p75	.all	2.00	2
AEMME52_num	numeric	p100	.all	2.00	2
AEMME52_num	numeric	hist	.all	NA	▁▁▁▅▁▁▁▇
AEMME53_num	numeric	missing	.all	10.00	10
AEMME53_num	numeric	complete	.all	1247.00	1247
AEMME53_num	numeric	n	.all	1257.00	1257
AEMME53_num	numeric	mean	.all	0.73	0.73
AEMME53_num	numeric	sd	.all	0.68	0.68
AEMME53_num	numeric	p0	.all	0.00	0
AEMME53_num	numeric	p25	.all	0.00	0
AEMME53_num	numeric	p50	.all	1.00	1
AEMME53_num	numeric	p75	.all	1.00	1
AEMME53_num	numeric	p100	.all	2.00	2
AEMME53_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▂
AEMME54_num	numeric	missing	.all	8.00	8
AEMME54_num	numeric	complete	.all	1249.00	1249
AEMME54_num	numeric	n	.all	1257.00	1257
AEMME54_num	numeric	mean	.all	1.23	1.23
AEMME54_num	numeric	sd	.all	0.61	0.61
AEMME54_num	numeric	p0	.all	0.00	0
AEMME54_num	numeric	p25	.all	1.00	1
AEMME54_num	numeric	p50	.all	1.00	1
AEMME54_num	numeric	p75	.all	2.00	2
AEMME54_num	numeric	p100	.all	2.00	2
AEMME54_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME55_num	numeric	missing	.all	7.00	7
AEMME55_num	numeric	complete	.all	1250.00	1250
AEMME55_num	numeric	n	.all	1257.00	1257
AEMME55_num	numeric	mean	.all	0.87	0.87
AEMME55_num	numeric	sd	.all	0.72	0.72
AEMME55_num	numeric	p0	.all	0.00	0
AEMME55_num	numeric	p25	.all	0.00	0
AEMME55_num	numeric	p50	.all	1.00	1
AEMME55_num	numeric	p75	.all	1.00	1
AEMME55_num	numeric	p100	.all	2.00	2
AEMME55_num	numeric	hist	.all	NA	▆▁▁▇▁▁▁▃
AEMME56_num	numeric	missing	.all	11.00	11
AEMME56_num	numeric	complete	.all	1246.00	1246
AEMME56_num	numeric	n	.all	1257.00	1257
AEMME56_num	numeric	mean	.all	1.36	1.36
AEMME56_num	numeric	sd	.all	0.70	0.7
AEMME56_num	numeric	p0	.all	0.00	0
AEMME56_num	numeric	p25	.all	1.00	1
AEMME56_num	numeric	p50	.all	1.00	1
AEMME56_num	numeric	p75	.all	2.00	2
AEMME56_num	numeric	p100	.all	2.00	2
AEMME56_num	numeric	hist	.all	NA	▂▁▁▆▁▁▁▇
AEMME57_num	numeric	missing	.all	10.00	10
AEMME57_num	numeric	complete	.all	1247.00	1247
AEMME57_num	numeric	n	.all	1257.00	1257
AEMME57_num	numeric	mean	.all	0.86	0.86
AEMME57_num	numeric	sd	.all	0.63	0.63
AEMME57_num	numeric	p0	.all	0.00	0
AEMME57_num	numeric	p25	.all	0.00	0
AEMME57_num	numeric	p50	.all	1.00	1
AEMME57_num	numeric	p75	.all	1.00	1
AEMME57_num	numeric	p100	.all	2.00	2
AEMME57_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▂
AEMME58_num	numeric	missing	.all	10.00	10
AEMME58_num	numeric	complete	.all	1247.00	1247
AEMME58_num	numeric	n	.all	1257.00	1257
AEMME58_num	numeric	mean	.all	1.10	1.1
AEMME58_num	numeric	sd	.all	0.81	0.81
AEMME58_num	numeric	p0	.all	0.00	0
AEMME58_num	numeric	p25	.all	0.00	0
AEMME58_num	numeric	p50	.all	1.00	1
AEMME58_num	numeric	p75	.all	2.00	2
AEMME58_num	numeric	p100	.all	2.00	2
AEMME58_num	numeric	hist	.all	NA	▆▁▁▇▁▁▁▇
AEMME59_num	numeric	missing	.all	6.00	6
AEMME59_num	numeric	complete	.all	1251.00	1251
AEMME59_num	numeric	n	.all	1257.00	1257
AEMME59_num	numeric	mean	.all	1.07	1.07
AEMME59_num	numeric	sd	.all	0.72	0.72
AEMME59_num	numeric	p0	.all	0.00	0
AEMME59_num	numeric	p25	.all	1.00	1
AEMME59_num	numeric	p50	.all	1.00	1
AEMME59_num	numeric	p75	.all	2.00	2
AEMME59_num	numeric	p100	.all	2.00	2
AEMME59_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▅
AEMME60_num	numeric	missing	.all	15.00	15
AEMME60_num	numeric	complete	.all	1242.00	1242
AEMME60_num	numeric	n	.all	1257.00	1257
AEMME60_num	numeric	mean	.all	1.58	1.58
AEMME60_num	numeric	sd	.all	0.57	0.57
AEMME60_num	numeric	p0	.all	0.00	0
AEMME60_num	numeric	p25	.all	1.00	1
AEMME60_num	numeric	p50	.all	2.00	2
AEMME60_num	numeric	p75	.all	2.00	2
AEMME60_num	numeric	p100	.all	2.00	2
AEMME60_num	numeric	hist	.all	NA	▁▁▁▅▁▁▁▇
AEMME61_num	numeric	missing	.all	4.00	4
AEMME61_num	numeric	complete	.all	1253.00	1253
AEMME61_num	numeric	n	.all	1257.00	1257
AEMME61_num	numeric	mean	.all	1.13	1.13
AEMME61_num	numeric	sd	.all	0.65	0.65
AEMME61_num	numeric	p0	.all	0.00	0
AEMME61_num	numeric	p25	.all	1.00	1
AEMME61_num	numeric	p50	.all	1.00	1
AEMME61_num	numeric	p75	.all	2.00	2
AEMME61_num	numeric	p100	.all	2.00	2
AEMME61_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▃
AEMME62_num	numeric	missing	.all	3.00	3
AEMME62_num	numeric	complete	.all	1254.00	1254
AEMME62_num	numeric	n	.all	1257.00	1257
AEMME62_num	numeric	mean	.all	0.99	0.99
AEMME62_num	numeric	sd	.all	0.70	0.7
AEMME62_num	numeric	p0	.all	0.00	0
AEMME62_num	numeric	p25	.all	1.00	1
AEMME62_num	numeric	p50	.all	1.00	1
AEMME62_num	numeric	p75	.all	1.00	1
AEMME62_num	numeric	p100	.all	2.00	2
AEMME62_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▃
AEMME63_num	numeric	missing	.all	4.00	4
AEMME63_num	numeric	complete	.all	1253.00	1253
AEMME63_num	numeric	n	.all	1257.00	1257
AEMME63_num	numeric	mean	.all	0.71	0.71
AEMME63_num	numeric	sd	.all	0.67	0.67
AEMME63_num	numeric	p0	.all	0.00	0
AEMME63_num	numeric	p25	.all	0.00	0
AEMME63_num	numeric	p50	.all	1.00	1
AEMME63_num	numeric	p75	.all	1.00	1
AEMME63_num	numeric	p100	.all	2.00	2
AEMME63_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▂
AEMME64_num	numeric	missing	.all	8.00	8
AEMME64_num	numeric	complete	.all	1249.00	1249
AEMME64_num	numeric	n	.all	1257.00	1257
AEMME64_num	numeric	mean	.all	0.68	0.68
AEMME64_num	numeric	sd	.all	0.66	0.66
AEMME64_num	numeric	p0	.all	0.00	0
AEMME64_num	numeric	p25	.all	0.00	0
AEMME64_num	numeric	p50	.all	1.00	1
AEMME64_num	numeric	p75	.all	1.00	1
AEMME64_num	numeric	p100	.all	2.00	2
AEMME64_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▂
AEMME65_num	numeric	missing	.all	11.00	11
AEMME65_num	numeric	complete	.all	1246.00	1246
AEMME65_num	numeric	n	.all	1257.00	1257
AEMME65_num	numeric	mean	.all	1.08	1.08
AEMME65_num	numeric	sd	.all	0.73	0.73
AEMME65_num	numeric	p0	.all	0.00	0
AEMME65_num	numeric	p25	.all	1.00	1
AEMME65_num	numeric	p50	.all	1.00	1
AEMME65_num	numeric	p75	.all	2.00	2
AEMME65_num	numeric	p100	.all	2.00	2
AEMME65_num	numeric	hist	.all	NA	▃▁▁▇▁▁▁▆
AEMME66_num	numeric	missing	.all	4.00	4
AEMME66_num	numeric	complete	.all	1253.00	1253
AEMME66_num	numeric	n	.all	1257.00	1257
AEMME66_num	numeric	mean	.all	1.28	1.28
AEMME66_num	numeric	sd	.all	0.62	0.62
AEMME66_num	numeric	p0	.all	0.00	0
AEMME66_num	numeric	p25	.all	1.00	1
AEMME66_num	numeric	p50	.all	1.00	1
AEMME66_num	numeric	p75	.all	2.00	2
AEMME66_num	numeric	p100	.all	2.00	2
AEMME66_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▆
AEMME67_num	numeric	missing	.all	7.00	7
AEMME67_num	numeric	complete	.all	1250.00	1250
AEMME67_num	numeric	n	.all	1257.00	1257
AEMME67_num	numeric	mean	.all	1.17	1.17
AEMME67_num	numeric	sd	.all	0.67	0.67
AEMME67_num	numeric	p0	.all	0.00	0
AEMME67_num	numeric	p25	.all	1.00	1
AEMME67_num	numeric	p50	.all	1.00	1
AEMME67_num	numeric	p75	.all	2.00	2
AEMME67_num	numeric	p100	.all	2.00	2
AEMME67_num	numeric	hist	.all	NA	▂▁▁▇▁▁▁▅
AEMME72_num	numeric	missing	.all	9.00	9
AEMME72_num	numeric	complete	.all	1248.00	1248
AEMME72_num	numeric	n	.all	1257.00	1257
AEMME72_num	numeric	mean	.all	0.41	0.41
AEMME72_num	numeric	sd	.all	0.57	0.57
AEMME72_num	numeric	p0	.all	0.00	0
AEMME72_num	numeric	p25	.all	0.00	0
AEMME72_num	numeric	p50	.all	0.00	0
AEMME72_num	numeric	p75	.all	1.00	1
AEMME72_num	numeric	p100	.all	2.00	2
AEMME72_num	numeric	hist	.all	NA	▇▁▁▅▁▁▁▁
AEMME73_num	numeric	missing	.all	18.00	18
AEMME73_num	numeric	complete	.all	1239.00	1239
AEMME73_num	numeric	n	.all	1257.00	1257
AEMME73_num	numeric	mean	.all	0.44	0.44
AEMME73_num	numeric	sd	.all	0.71	0.71
AEMME73_num	numeric	p0	.all	0.00	0
AEMME73_num	numeric	p25	.all	0.00	0
AEMME73_num	numeric	p50	.all	0.00	0
AEMME73_num	numeric	p75	.all	1.00	1
AEMME73_num	numeric	p100	.all	2.00	2
AEMME73_num	numeric	hist	.all	NA	▇▁▁▂▁▁▁▂
AEMME74_num	numeric	missing	.all	16.00	16
AEMME74_num	numeric	complete	.all	1241.00	1241
AEMME74_num	numeric	n	.all	1257.00	1257
AEMME74_num	numeric	mean	.all	0.32	0.32
AEMME74_num	numeric	sd	.all	0.53	0.53
AEMME74_num	numeric	p0	.all	0.00	0
AEMME74_num	numeric	p25	.all	0.00	0
AEMME74_num	numeric	p50	.all	0.00	0
AEMME74_num	numeric	p75	.all	1.00	1
AEMME74_num	numeric	p100	.all	2.00	2
AEMME74_num	numeric	hist	.all	NA	▇▁▁▃▁▁▁▁
AEMME75_num	numeric	missing	.all	13.00	13
AEMME75_num	numeric	complete	.all	1244.00	1244
AEMME75_num	numeric	n	.all	1257.00	1257
AEMME75_num	numeric	mean	.all	0.58	0.58
AEMME75_num	numeric	sd	.all	0.64	0.64
AEMME75_num	numeric	p0	.all	0.00	0
AEMME75_num	numeric	p25	.all	0.00	0
AEMME75_num	numeric	p50	.all	0.00	0
AEMME75_num	numeric	p75	.all	1.00	1
AEMME75_num	numeric	p100	.all	2.00	2
AEMME75_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▁
AEMME76_num	numeric	missing	.all	5.00	5
AEMME76_num	numeric	complete	.all	1252.00	1252
AEMME76_num	numeric	n	.all	1257.00	1257
AEMME76_num	numeric	mean	.all	0.66	0.66
AEMME76_num	numeric	sd	.all	0.66	0.66
AEMME76_num	numeric	p0	.all	0.00	0
AEMME76_num	numeric	p25	.all	0.00	0
AEMME76_num	numeric	p50	.all	1.00	1
AEMME76_num	numeric	p75	.all	1.00	1
AEMME76_num	numeric	p100	.all	2.00	2
AEMME76_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▂
AEMME77_num	numeric	missing	.all	10.00	10
AEMME77_num	numeric	complete	.all	1247.00	1247
AEMME77_num	numeric	n	.all	1257.00	1257
AEMME77_num	numeric	mean	.all	0.73	0.73
AEMME77_num	numeric	sd	.all	0.71	0.71
AEMME77_num	numeric	p0	.all	0.00	0
AEMME77_num	numeric	p25	.all	0.00	0
AEMME77_num	numeric	p50	.all	1.00	1
AEMME77_num	numeric	p75	.all	1.00	1
AEMME77_num	numeric	p100	.all	2.00	2
AEMME77_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▃
AEMME78_num	numeric	missing	.all	9.00	9
AEMME78_num	numeric	complete	.all	1248.00	1248
AEMME78_num	numeric	n	.all	1257.00	1257
AEMME78_num	numeric	mean	.all	0.27	0.27
AEMME78_num	numeric	sd	.all	0.52	0.52
AEMME78_num	numeric	p0	.all	0.00	0
AEMME78_num	numeric	p25	.all	0.00	0
AEMME78_num	numeric	p50	.all	0.00	0
AEMME78_num	numeric	p75	.all	0.00	0
AEMME78_num	numeric	p100	.all	2.00	2
AEMME78_num	numeric	hist	.all	NA	▇▁▁▂▁▁▁▁
AEMME79_num	numeric	missing	.all	6.00	6
AEMME79_num	numeric	complete	.all	1251.00	1251
AEMME79_num	numeric	n	.all	1257.00	1257
AEMME79_num	numeric	mean	.all	0.53	0.53
AEMME79_num	numeric	sd	.all	0.63	0.63
AEMME79_num	numeric	p0	.all	0.00	0
AEMME79_num	numeric	p25	.all	0.00	0
AEMME79_num	numeric	p50	.all	0.00	0
AEMME79_num	numeric	p75	.all	1.00	1
AEMME79_num	numeric	p100	.all	2.00	2
AEMME79_num	numeric	hist	.all	NA	▇▁▁▆▁▁▁▁
AEMME80_num	numeric	missing	.all	17.00	17
AEMME80_num	numeric	complete	.all	1240.00	1240
AEMME80_num	numeric	n	.all	1257.00	1257
AEMME80_num	numeric	mean	.all	0.82	0.82
AEMME80_num	numeric	sd	.all	0.75	0.75
AEMME80_num	numeric	p0	.all	0.00	0
AEMME80_num	numeric	p25	.all	0.00	0
AEMME80_num	numeric	p50	.all	1.00	1
AEMME80_num	numeric	p75	.all	1.00	1
AEMME80_num	numeric	p100	.all	2.00	2
AEMME80_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▅
AEMME81_num	numeric	missing	.all	3.00	3
AEMME81_num	numeric	complete	.all	1254.00	1254
AEMME81_num	numeric	n	.all	1257.00	1257
AEMME81_num	numeric	mean	.all	0.17	0.17
AEMME81_num	numeric	sd	.all	0.43	0.43
AEMME81_num	numeric	p0	.all	0.00	0
AEMME81_num	numeric	p25	.all	0.00	0
AEMME81_num	numeric	p50	.all	0.00	0
AEMME81_num	numeric	p75	.all	0.00	0
AEMME81_num	numeric	p100	.all	2.00	2
AEMME81_num	numeric	hist	.all	NA	▇▁▁▁▁▁▁▁
AEMME82_num	numeric	missing	.all	2.00	2
AEMME82_num	numeric	complete	.all	1255.00	1255
AEMME82_num	numeric	n	.all	1257.00	1257
AEMME82_num	numeric	mean	.all	0.78	0.78
AEMME82_num	numeric	sd	.all	0.72	0.72
AEMME82_num	numeric	p0	.all	0.00	0
AEMME82_num	numeric	p25	.all	0.00	0
AEMME82_num	numeric	p50	.all	1.00	1
AEMME82_num	numeric	p75	.all	1.00	1
AEMME82_num	numeric	p100	.all	2.00	2
AEMME82_num	numeric	hist	.all	NA	▇▁▁▇▁▁▁▃

Exploratory analyses

Factor retention decisions are based on an interface between statistical criteria and interpretability. Different methods are recommended. From statistical point of view, the Parallel analysis (Horn’s parallel analysis) is a statistical method common used to determine the number of factors to retain in an exploratory factor analysis. Their results are combined into a scree-plot method and their helps to make the interpretation of the scree plots more objective.

## 
## Note: parallel analysis suggests 11 factors.

Then, models ranging from 1 to 5 correlated factors were conducted and the results of of their fit measures were accessed. It’s possible to retain from two factors on,

Exploratory results

## Factor Analysis using method =  wls
## Call: fa(r = ., nfactors = 2, fm = "wls", cor = "poly")
## Standardized loadings (pattern matrix) based upon correlation matrix
##             item  WLS1  WLS2     h2   u2 com
## AEMME40_num   40  0.63 -0.03 0.4122 0.59 1.0
## AEMME64_num   64  0.63  0.12 0.3537 0.65 1.1
## AEMME28_num   28  0.61  0.20 0.3240 0.68 1.2
## AEMME22_num   22  0.61  0.08 0.3443 0.66 1.0
## AEMME23_num   23  0.57  0.19 0.2781 0.72 1.2
## AEMME43_num   43  0.55  0.04 0.2917 0.71 1.0
## AEMME29_num   29  0.55 -0.14 0.3761 0.62 1.1
## AEMME6_num     6  0.54 -0.06 0.3248 0.68 1.0
## AEMME27_num   27  0.54  0.03 0.2818 0.72 1.0
## AEMME41_num   41  0.54  0.14 0.2535 0.75 1.1
## AEMME31_num   31  0.54 -0.02 0.2938 0.71 1.0
## AEMME63_num   63  0.53  0.18 0.2460 0.75 1.2
## AEMME32_num   32  0.53  0.03 0.2725 0.73 1.0
## AEMME42_num   42  0.53  0.03 0.2686 0.73 1.0
## AEMME46_num   46  0.53 -0.13 0.3463 0.65 1.1
## AEMME19_num   19  0.52  0.07 0.2498 0.75 1.0
## AEMME48_num   48  0.52  0.00 0.2696 0.73 1.0
## AEMME3_num     3  0.50 -0.18 0.3484 0.65 1.2
## AEMME17_num   17  0.50 -0.26 0.4132 0.59 1.5
## AEMME38_num   38  0.49 -0.20 0.3554 0.64 1.3
## AEMME20_num   20  0.49 -0.08 0.2755 0.72 1.1
## AEMME11_num   11  0.47 -0.09 0.2634 0.74 1.1
## AEMME21_num   21  0.47  0.28 0.2039 0.80 1.6
## AEMME12_num   12  0.47 -0.12 0.2812 0.72 1.1
## AEMME9_num     9  0.47  0.01 0.2197 0.78 1.0
## AEMME62_num   62  0.47  0.15 0.1915 0.81 1.2
## AEMME59_num   59  0.47 -0.17 0.3078 0.69 1.3
## AEMME30_num   30  0.47 -0.06 0.2446 0.76 1.0
## AEMME44_num   44  0.46 -0.30 0.4029 0.60 1.7
## AEMME16_num   16  0.46  0.16 0.1800 0.82 1.3
## AEMME24_num   24  0.45  0.10 0.1819 0.82 1.1
## AEMME55_num   55  0.45  0.14 0.1757 0.82 1.2
## AEMME49_num   49  0.44 -0.16 0.2666 0.73 1.3
## AEMME39_num   39  0.43 -0.06 0.2072 0.79 1.0
## AEMME45_num   45  0.43 -0.05 0.2008 0.80 1.0
## AEMME33_num   33  0.42 -0.40 0.4581 0.54 2.0
## AEMME5_num     5  0.41 -0.12 0.2254 0.77 1.2
## AEMME58_num   58  0.41 -0.12 0.2206 0.78 1.2
## AEMME10_num   10  0.40 -0.06 0.1837 0.82 1.0
## AEMME67_num   67  0.40 -0.24 0.2936 0.71 1.6
## AEMME26_num   26  0.39 -0.31 0.3457 0.65 1.9
## AEMME1_num     1  0.39 -0.18 0.2394 0.76 1.4
## AEMME14_num   14  0.38 -0.18 0.2315 0.77 1.4
## AEMME2_num     2  0.37 -0.13 0.1884 0.81 1.2
## AEMME54_num   54  0.35 -0.28 0.2783 0.72 1.9
## AEMME53_num   53  0.35 -0.13 0.1673 0.83 1.3
## AEMME47_num   47  0.34 -0.17 0.1869 0.81 1.4
## AEMME65_num   65  0.34 -0.09 0.1446 0.86 1.1
## AEMME82_num   78 -0.33  0.32 0.2938 0.71 2.0
## AEMME56_num   56  0.30 -0.01 0.0936 0.91 1.0
## AEMME66_num   66  0.30 -0.25 0.2060 0.79 1.9
## AEMME7_num     7  0.30 -0.25 0.2014 0.80 1.9
## AEMME50_num   50  0.26 -0.02 0.0728 0.93 1.0
## AEMME8_num     8  0.26 -0.11 0.1004 0.90 1.4
## AEMME61_num   61  0.25 -0.06 0.0797 0.92 1.1
## AEMME35_num   35  0.23  0.09 0.0459 0.95 1.3
## AEMME4_num     4  0.20  0.19 0.0462 0.95 2.0
## AEMME81_num   77  0.05  0.63 0.3748 0.63 1.0
## AEMME75_num   71  0.00  0.59 0.3517 0.65 1.0
## AEMME76_num   72 -0.07  0.58 0.3734 0.63 1.0
## AEMME74_num   70 -0.11  0.55 0.3672 0.63 1.1
## AEMME79_num   75 -0.10  0.54 0.3438 0.66 1.1
## AEMME73_num   69  0.15  0.52 0.2340 0.77 1.2
## AEMME25_num   25  0.13  0.51 0.2293 0.77 1.1
## AEMME78_num   74 -0.19  0.51 0.3692 0.63 1.3
## AEMME72_num   68 -0.04  0.50 0.2648 0.74 1.0
## AEMME36_num   36 -0.04 -0.46 0.1982 0.80 1.0
## AEMME60_num   60  0.19 -0.45 0.3003 0.70 1.3
## AEMME57_num   57  0.18  0.42 0.1538 0.85 1.4
## AEMME15_num   15 -0.02  0.40 0.1650 0.84 1.0
## AEMME37_num   37  0.03 -0.40 0.1647 0.84 1.0
## AEMME77_num   73 -0.05  0.39 0.1729 0.83 1.0
## AEMME51_num   51  0.19 -0.33 0.1946 0.81 1.6
## AEMME18_num   18  0.14 -0.29 0.1330 0.87 1.4
## AEMME80_num   76  0.10  0.28 0.0691 0.93 1.3
## AEMME34_num   34  0.04 -0.17 0.0349 0.97 1.1
## AEMME13_num   13  0.09 -0.11 0.0277 0.97 1.9
## AEMME52_num   52 -0.03 -0.04 0.0018 1.00 2.0
## 
##                        WLS1 WLS2
## SS loadings           12.58 6.15
## Proportion Var         0.16 0.08
## Cumulative Var         0.16 0.24
## Proportion Explained   0.67 0.33
## Cumulative Proportion  0.67 1.00
## 
##  With factor correlations of 
##       WLS1  WLS2
## WLS1  1.00 -0.37
## WLS2 -0.37  1.00
## 
## Mean item complexity =  1.3
## Test of the hypothesis that 2 factors are sufficient.
## 
## The degrees of freedom for the null model are  3003  and the objective function was  28.33 with Chi Square of  34827.07
## The degrees of freedom for the model are 2848  and the objective function was  11.16 
## 
## The root mean square of the residuals (RMSR) is  0.05 
## The df corrected root mean square of the residuals is  0.05 
## 
## The harmonic number of observations is  1241 with the empirical chi square  17454.32  with prob <  0 
## The total number of observations was  1257  with Likelihood Chi Square =  13699.9  with prob <  0 
## 
## Tucker Lewis Index of factoring reliability =  0.64
## RMSEA index =  0.056  and the 90 % confidence intervals are  0.054 0.056
## BIC =  -6624.8
## Fit based upon off diagonal values = 0.94
## Measures of factor score adequacy             
##                                                   WLS1 WLS2
## Correlation of (regression) scores with factors   0.97 0.94
## Multiple R square of scores with factors          0.94 0.89
## Minimum correlation of possible factor scores     0.89 0.78

Confirmatory Analysis

The confirmatory factor analysis (CFA) was conducted in a subsample of the original dataset on the basis of the prior results obtained by EFA. In other words, the expected relationships between indicators and factors were set by the EFA results. Items with loadings below 0.3 were not used, and items with loadings on more than one factor were maintened in its higher factor.

The extraction method used was the weighted least squares robust estimation, with mean adjusted (WLSM). In accordance with the level of measure of the items of the scale, this estimation technique uses the ordered/ordinal categorical nature of the data and uses a polychoric input matrix. The two factors were correlated through oblimin rotation.

To verify whether this solution is suitable to the sample data, the following goodness-of-fit indices were used: p-value of the χ2 test (Chi-Square Statistic), CFI (Comparative Fit Index), TLI (Tucker-Lewis Index), RMSEA (Root Mean Square Error of Approximation) and SRMR (Standardized Root Mean Square Residual). The fit of the model was considered good when X2 p-value was significant, CFI and TLI values were above .90, and RMSEA and SRMR values were below .06 and .08 respectively.

Fator	Item	b	SE	Z	p-valor	Beta
f1	AEMME17	1.05	0.06	16.15	0.00	0.67
f1	AEMME44	1.02	0.06	16.62	0.00	0.65
f1	AEMME40	1.00	0.00	NA	NA	0.64
f1	AEMME29	0.99	0.06	16.43	0.00	0.64
f1	AEMME33	0.99	0.07	13.76	0.00	0.63
f1	AEMME38	0.98	0.07	15.04	0.00	0.63
f1	AEMME3	0.98	0.06	16.09	0.00	0.63
f1	AEMME26	0.96	0.07	14.08	0.00	0.62
f1	AEMME46	0.96	0.06	14.89	0.00	0.61
f1	AEMME59	0.93	0.06	14.96	0.00	0.60
f1	AEMME6	0.91	0.06	14.12	0.00	0.59
f1	AEMME64	0.90	0.06	14.40	0.00	0.58
f1	AEMME31	0.87	0.06	15.14	0.00	0.56
f1	AEMME42	0.87	0.06	14.67	0.00	0.55
f1	AEMME22	0.84	0.07	12.70	0.00	0.54
f1	AEMME28	0.84	0.06	13.00	0.00	0.54
f1	AEMME11	0.84	0.06	13.61	0.00	0.53
f1	AEMME32	0.83	0.06	12.89	0.00	0.53
f1	AEMME67	0.83	0.07	11.87	0.00	0.53
f1	AEMME14	0.82	0.06	13.34	0.00	0.52
f1	AEMME43	0.82	0.06	12.62	0.00	0.52
f1	AEMME54	0.81	0.07	11.83	0.00	0.52
f1	AEMME27	0.81	0.06	12.84	0.00	0.52
f1	AEMME12	0.80	0.06	13.14	0.00	0.52
f1	AEMME48	0.79	0.06	12.14	0.00	0.51
f1	AEMME49	0.78	0.07	11.99	0.00	0.50
f1	AEMME82	-0.78	0.07	-11.21	0.00	-0.50
f1	AEMME5	0.77	0.07	11.48	0.00	0.49
f1	AEMME1	0.77	0.07	10.89	0.00	0.49
f1	AEMME19	0.76	0.07	11.54	0.00	0.49
f1	AEMME20	0.76	0.07	11.49	0.00	0.49
f1	AEMME30	0.74	0.07	11.36	0.00	0.47
f1	AEMME39	0.73	0.06	11.64	0.00	0.47
f1	AEMME63	0.73	0.07	11.06	0.00	0.47
f1	AEMME66	0.73	0.07	10.26	0.00	0.47
f1	AEMME58	0.72	0.07	10.80	0.00	0.46
f1	AEMME9	0.71	0.06	11.23	0.00	0.46
f1	AEMME55	0.70	0.07	10.45	0.00	0.45
f1	AEMME7	0.69	0.06	11.49	0.00	0.45
f1	AEMME41	0.69	0.06	11.90	0.00	0.44
f1	AEMME53	0.69	0.07	10.38	0.00	0.44
f1	AEMME23	0.68	0.06	10.99	0.00	0.43
f1	AEMME65	0.67	0.06	10.67	0.00	0.43
f1	AEMME45	0.66	0.06	10.72	0.00	0.42
f1	AEMME10	0.65	0.07	9.71	0.00	0.42
f1	AEMME2	0.65	0.07	9.53	0.00	0.42
f1	AEMME62	0.62	0.06	9.62	0.00	0.40
f1	AEMME47	0.61	0.07	8.81	0.00	0.39
f1	AEMME24	0.61	0.07	8.78	0.00	0.39
f1	AEMME16	0.54	0.07	8.17	0.00	0.35
f1	AEMME21	0.52	0.06	8.07	0.00	0.33
f1	AEMME56	0.41	0.08	5.49	0.00	0.26
f2	AEMME78	1.29	0.17	7.75	0.00	0.71
f2	AEMME79	1.27	0.16	8.01	0.00	0.70
f2	AEMME76	1.23	0.18	6.90	0.00	0.68
f2	AEMME74	1.23	0.18	6.72	0.00	0.68
f2	AEMME60	-1.09	0.14	-7.60	0.00	-0.60
f2	AEMME15	1.02	0.15	6.88	0.00	0.56
f2	AEMME81	1.00	0.00	NA	NA	0.55
f2	AEMME75	0.98	0.15	6.67	0.00	0.54
f2	AEMME72	0.96	0.15	6.25	0.00	0.53
f2	AEMME77	0.87	0.14	6.45	0.00	0.48
f2	AEMME51	-0.87	0.16	-5.37	0.00	-0.48
f2	AEMME37	-0.77	0.13	-5.97	0.00	-0.42
f2	AEMME36	-0.69	0.14	-4.90	0.00	-0.38
f2	AEMME25	0.66	0.13	5.10	0.00	0.37
f2	AEMME73	0.51	0.13	3.79	0.00	0.28
f2	AEMME57	0.27	0.11	2.37	0.02	0.15

The CFA results were: 205, 4467.5772571, 2209, 0, 0.9547205, 0.9533062, 0.0425398.

The item level analysis was carried out for each factor extracted. In the first factor, the item 17 had the highest standardized loading (λ = 0.67, 17. Eu confiro minhas anotações para ter certeza que entendi o que escrevi.) and the item 56 the lowest (0.27, 56. Nas provas, se eu vejo que não sei responder uma questão não perco tempo com ela, deixo para tentar resolvê-la no final.). Despite its estimate below the 0.3 cut-offs, the fit obtained by this solution justifies the maintenance of this item. The item number 78 was reversed correlated to this factor (-0.5, 78. Quando chego em casa quero contar para os meus pais o que aprendi de novo na escola.) suggesting it score could be reversed in future research. The second factor had its highest loadings in its relationship with the item 74 (0.713, 74. Eu me sinto muito bem quando vou bem na escola.) and four items were reversed related to this factor (items number 36, 37, 51, and 60), indicating these items should be reversed in future research. This factor also presented a fuzzy result in regard to the item content, whereas one could find positive-related content (74. Eu me sinto muito bem quando vou bem na escola or 70. Eu faço as tarefas de casa.) next to negative-content items, such as 75. Escola é uma chatice or 72. Tarefas escolares são muito chatas para mim.

Reliability analysis

The reliability analysis was carried out via Cronbach Alpha and the McDonald’s omega. The next table describes their results, which can be concluded that while the first factor has high internal consistency, the second one should seem as low-consistency.

	f1	f2	total
alpha	0.94	0.60	0.90
omega	0.85	0.52	0.83
omega2	0.85	0.52	0.83
omega3	0.84	0.44	0.81
avevar	0.26	0.28	0.27

Latent trait analysis