|
Storage mode:
|
double
|
|
Measurement:
|
nominal
|
|
Valid range:
|
1-9
|
|
Values and labels
|
N
|
Percent
|
|
1
|
|
‘Cons’
|
49
|
27
|
.
|
8
|
24
|
.
|
5
|
|
2
|
|
‘Lab’
|
26
|
14
|
.
|
8
|
13
|
.
|
0
|
|
3
|
|
‘LibDem’
|
21
|
11
|
.
|
9
|
10
|
.
|
5
|
|
4
|
|
‘Other’
|
19
|
10
|
.
|
8
|
9
|
.
|
5
|
|
9
|
|
‘NoVote’
|
61
|
34
|
.
|
7
|
30
|
.
|
5
|
|
97
|
M
|
‘DK’
|
6
|
|
|
|
3
|
.
|
0
|
|
98
|
M
|
‘Refused’
|
7
|
|
|
|
3
|
.
|
5
|
|
99
|
M
|
‘N.a.’
|
11
|
|
|
|
5
|
.
|
5
|
An example of a codebook for a survey questionnaire item produced with memisc
The R package memisc, which is available at CRAN, provides tools for the management of survey data, graphics, statistics and simulation.
One of the aims of this package is to make life easier for useRs who deal with survey data sets. It provides an infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) SPSS and Stata files. Further, it provides functionality to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates. Also some convenience tools for graphics, programming, and simulation are provided.
Development occurs on GitHub, where both releases and the development tree can be found.
|
|
Model 1
|
Model 4
|
Model 5
|
|
Intercept
|
−1
|
.
|
401***
|
−0
|
.
|
213
|
−1
|
.
|
687***
|
|
|
(0
|
.
|
271)
|
(0
|
.
|
126)
|
(0
|
.
|
294)
|
|
Occup. class: Other white collar/Upper white collar
|
1
|
.
|
368***
|
|
|
|
1
|
.
|
287***
|
|
|
(0
|
.
|
373)
|
|
|
|
(0
|
.
|
381)
|
|
Occup. class: Blue collar/Upper white collar
|
2
|
.
|
448***
|
|
|
|
2
|
.
|
385***
|
|
|
(0
|
.
|
327)
|
|
|
|
(0
|
.
|
337)
|
|
Occup. class: Farmer/Upper white collar
|
1
|
.
|
826***
|
|
|
|
2
|
.
|
039***
|
|
|
(0
|
.
|
413)
|
|
|
|
(0
|
.
|
426)
|
|
Religion: Catholic/Protestant
|
|
|
|
0
|
.
|
877***
|
0
|
.
|
685*
|
|
|
|
|
|
(0
|
.
|
243)
|
(0
|
.
|
292)
|
|
Religion: Other,none/Protestant
|
|
|
|
0
|
.
|
975**
|
1
|
.
|
191**
|
|
|
|
|
|
(0
|
.
|
347)
|
(0
|
.
|
441)
|
|
Nagelkerke R-sq.
|
0
|
.
|
2
|
0
|
.
|
1
|
0
|
.
|
3
|
|
Deviance
|
404
|
.
|
2
|
537
|
.
|
7
|
393
|
.
|
1
|
|
AIC
|
412
|
.
|
2
|
543
|
.
|
7
|
405
|
.
|
1
|
|
N
|
344
|
|
|
402
|
|
|
344
|
|
|
An example of a table of model estimates produced with memisc