QuestionLink Engine beta_1 — Document creation 2022-02-21

Construct: Political interest

This recoding document features recpding scripts with which many instruments for Politisches Interesse can be harmonized towards the chosen reference instrument GPANEL 8pt.

For information on the construct and the selection criteria for instruments, see the political interest construct page. For more information on how the recoding information was generated using the QuestionLink Engine, see the QuestionLink homepage.

Reference instrument: GPANEL 8pt

In the following, we provide equating information with which scores from several source instruments can be transformed into scores in the format of the GPANEL 8pt target instrument.

Reference instrument:

Wording:

Wie stark interessieren Sie sich im Allgemeinen für politische Themen?
(How strongly are you generally interested in politics?)

Original score Response options English translations
1 überhaupt nicht not at all
2
3
4
5
6
7
8 sehr stark very strongly
GPANEL 8pt usage by surveys and years (click to reveal)
Survey #Years Years in detail
GPANEL 2 2015, 2016

( i ) This table pertains to the surveys and years included in QuestionLink. The instrument may have been used in other surveys as well.

Recode ALLBUS A 5pt

(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)

Recoding syntax

( i ) Replace “SOURCE_VARIABLE” with the variable containing the untransformed ALLBUS A 5pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.

( ! ) The response scale direction of ALLBUS A 5pt is inverted compared to that of the reference instrument GPANEL 8pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.

R code (tidyverse — dplyr::mutate())

TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 7.93, `2` = 6.75, `3` = 5.14, `4` = 2.8, `5` = 1.14)

R code (base)

TRANSFORMED_VARIABLE <- c(`1` = 7.93, `2` = 6.75, `3` = 5.14, `4` = 2.8, `5` = 1.14)[SOURCE_VARIABLE]

Stata code

recode SOURCE_VARIABLE 1=7.93 2=6.75 3=5.14 4=2.8 5=1.14, gen(TRANSFORMED_VARIABLE)

SPSS code

RECODE SOURCE_VARIABLE (1=7.93) (2=6.75) (3=5.14) (4=2.8) (5=1.14) INTO TRANSFORMED_VARIABLE.

Recoding table for manual recoding (click to reveal)
ALLBUS A 5pt scores GPANEL 8pt equivalents
1 7.93
2 6.75
3 5.14
4 2.80
5 1.14

Instrument

ALLBUS A 5pt Instrument
Wording:

Wie stark interessieren Sie sich für Politik?
(How strongly are you interested in politics?)

Original score Response options English translations
1 sehr stark very strongly
2 stark strongly
3 mittel middling
4 wenig not very
5 überhaupt nicht not at all

ALLBUS A 5pt usage by surveys and years
Survey #Years Years in detail
ALLBUS 19 1982, 1984, 1986, 1990, 1991, 1992, 1994, 1996, 1998, 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016, 2018
GLES 3 2009, 2013, 2017
GPANEL 8 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
ISSP 4 1990, 1996, 2006, 2016

( i ) This table pertains to the surveys and years included in QuestionLink. The instrument may have been used in other surveys as well.

Equating information

( i ) The plot shows how the recoded scores of ALLBUS A 5pt relate to the response scale of the GPANEL 8pt reference instrument.
The values in parentheses on the left are the original values of ALLBUS A 5pt.

Equating links used to calculate the recoding table (click to reveal)

QuestionLink uses all available opportunities to link the two instruments. All those links then form the joint basis of the final recoding table. The table below shows the number of direct links (data for both instrument in the same year), time relaxation links (data from adjacent years), and links via relay (equating via another instrument in between to bridge larger time gaps).

Link type Number of equatings
directly 20
time relaxation 40
via relay 3610


Recode SOEP 4pt

(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)

Recoding syntax

( i ) Replace “SOURCE_VARIABLE” with the variable containing the untransformed SOEP 4pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.

( ! ) The response scale direction of SOEP 4pt is inverted compared to that of the reference instrument GPANEL 8pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.

R code (tidyverse — dplyr::mutate())

TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 7.94, `2` = 6.46, `3` = 4.56, `4` = 1.71)

R code (base)

TRANSFORMED_VARIABLE <- c(`1` = 7.94, `2` = 6.46, `3` = 4.56, `4` = 1.71)[SOURCE_VARIABLE]

Stata code

recode SOURCE_VARIABLE 1=7.94 2=6.46 3=4.56 4=1.71, gen(TRANSFORMED_VARIABLE)

SPSS code

RECODE SOURCE_VARIABLE (1=7.94) (2=6.46) (3=4.56) (4=1.71) INTO TRANSFORMED_VARIABLE.

Recoding table for manual recoding (click to reveal)
SOEP 4pt scores GPANEL 8pt equivalents
1 7.94
2 6.46
3 4.56
4 1.71

Instrument

SOEP 4pt Instrument
Wording:

Einmal ganz allgemein gesprochen: Wie stark interessieren Sie sich für Politik?
(Generally speaking, how strongly are you interested in politics?)

Original score Response options English translations
1 sehr stark very strongly
2 stark strongly
3 nicht so stark not so strongly
4 überhaupt nicht not at all

SOEP 4pt usage by surveys and years
Survey #Years Years in detail
SOEP 34 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018

( i ) This table pertains to the surveys and years included in QuestionLink. The instrument may have been used in other surveys as well.

Equating information

( i ) The plot shows how the recoded scores of SOEP 4pt relate to the response scale of the GPANEL 8pt reference instrument.
The values in parentheses on the left are the original values of SOEP 4pt.

Equating links used to calculate the recoding table (click to reveal)

QuestionLink uses all available opportunities to link the two instruments. All those links then form the joint basis of the final recoding table. The table below shows the number of direct links (data for both instrument in the same year), time relaxation links (data from adjacent years), and links via relay (equating via another instrument in between to bridge larger time gaps).

Link type Number of equatings
directly 8
time relaxation 16
via relay 1356


Recode ESS 4pt

(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)

Recoding syntax

( i ) Replace “SOURCE_VARIABLE” with the variable containing the untransformed ESS 4pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.

( ! ) The response scale direction of ESS 4pt is inverted compared to that of the reference instrument GPANEL 8pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.

R code (tidyverse — dplyr::mutate())

TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 7.43, `2` = 5.84, `3` = 3.44, `4` = 1.06)

R code (base)

TRANSFORMED_VARIABLE <- c(`1` = 7.43, `2` = 5.84, `3` = 3.44, `4` = 1.06)[SOURCE_VARIABLE]

Stata code

recode SOURCE_VARIABLE 1=7.43 2=5.84 3=3.44 4=1.06, gen(TRANSFORMED_VARIABLE)

SPSS code

RECODE SOURCE_VARIABLE (1=7.43) (2=5.84) (3=3.44) (4=1.06) INTO TRANSFORMED_VARIABLE.

Recoding table for manual recoding (click to reveal)
ESS 4pt scores GPANEL 8pt equivalents
1 7.43
2 5.84
3 3.44
4 1.06

Instrument

ESS 4pt Instrument
Wording:

Wie sehr interessieren Sie sich für Politik?
(How interested are you in politics?)

Original score Response options English translations
1 sehr interessiert very interested
2 ziemlich interessiert quite interested
3 wenig interessiert hardly interested
4 überhaupt nicht interessiert not at all interested

ESS 4pt usage by surveys and years
Survey #Years Years in detail
ESS 9 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016, 2018
NEPS 4 2013, 2017, 2018, 2019

( i ) This table pertains to the surveys and years included in QuestionLink. The instrument may have been used in other surveys as well.

Equating information

( i ) The plot shows how the recoded scores of ESS 4pt relate to the response scale of the GPANEL 8pt reference instrument.
The values in parentheses on the left are the original values of ESS 4pt.

Equating links used to calculate the recoding table (click to reveal)

QuestionLink uses all available opportunities to link the two instruments. All those links then form the joint basis of the final recoding table. The table below shows the number of direct links (data for both instrument in the same year), time relaxation links (data from adjacent years), and links via relay (equating via another instrument in between to bridge larger time gaps).

Link type Number of equatings
directly 4
time relaxation 12
via relay 1508


Recode EVS 4pt

(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)

Recoding syntax

( i ) Replace “SOURCE_VARIABLE” with the variable containing the untransformed EVS 4pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.

( ! ) The response scale direction of EVS 4pt is inverted compared to that of the reference instrument GPANEL 8pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.

R code (tidyverse — dplyr::mutate())

TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 7.21, `2` = 5.48, `3` = 3.18, `4` = 1.42)

R code (base)

TRANSFORMED_VARIABLE <- c(`1` = 7.21, `2` = 5.48, `3` = 3.18, `4` = 1.42)[SOURCE_VARIABLE]

Stata code

recode SOURCE_VARIABLE 1=7.21 2=5.48 3=3.18 4=1.42, gen(TRANSFORMED_VARIABLE)

SPSS code

RECODE SOURCE_VARIABLE (1=7.21) (2=5.48) (3=3.18) (4=1.42) INTO TRANSFORMED_VARIABLE.

Recoding table for manual recoding (click to reveal)
EVS 4pt scores GPANEL 8pt equivalents
1 7.21
2 5.48
3 3.18
4 1.42

Instrument

EVS 4pt Instrument
Wording:

Interessieren Sie sich für Politik? Würden Sie sagen
(How interested would you say you are in politics?)

Original score Response options English translations
1 interessiert mich sehr? very interested
2 interessiert mich etwas? somewhat interested
3 interessiert mich kaum? not very interested
4 interessiert mich gar nicht? not at all interested

EVS 4pt usage by surveys and years
Survey #Years Years in detail
EVS 4 1990, 1999, 2008, 2017

( i ) This table pertains to the surveys and years included in QuestionLink. The instrument may have been used in other surveys as well.

Equating information

( i ) The plot shows how the recoded scores of EVS 4pt relate to the response scale of the GPANEL 8pt reference instrument.
The values in parentheses on the left are the original values of EVS 4pt.

Equating links used to calculate the recoding table (click to reveal)

QuestionLink uses all available opportunities to link the two instruments. All those links then form the joint basis of the final recoding table. The table below shows the number of direct links (data for both instrument in the same year), time relaxation links (data from adjacent years), and links via relay (equating via another instrument in between to bridge larger time gaps).

Link type Number of equatings
time relaxation 4
via relay 424


Recode ISSP 4pt

(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)

Recoding syntax

( i ) Replace “SOURCE_VARIABLE” with the variable containing the untransformed ISSP 4pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.

( ! ) The response scale direction of ISSP 4pt is inverted compared to that of the reference instrument GPANEL 8pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.

R code (tidyverse — dplyr::mutate())

TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 7.23, `2` = 5.36, `3` = 2.92, `4` = 1.25)

R code (base)

TRANSFORMED_VARIABLE <- c(`1` = 7.23, `2` = 5.36, `3` = 2.92, `4` = 1.25)[SOURCE_VARIABLE]

Stata code

recode SOURCE_VARIABLE 1=7.23 2=5.36 3=2.92 4=1.25, gen(TRANSFORMED_VARIABLE)

SPSS code

RECODE SOURCE_VARIABLE (1=7.23) (2=5.36) (3=2.92) (4=1.25) INTO TRANSFORMED_VARIABLE.

Recoding table for manual recoding (click to reveal)
ISSP 4pt scores GPANEL 8pt equivalents
1 7.23
2 5.36
3 2.92
4 1.25

Instrument

ISSP 4pt Instrument
Wording:

Was würden Sie sagen, wie sehr sind Sie an Politik interessiert?
(How interested would you say you are in politics?)

Original score Response options English translations
1 sehr interessiert very interested
2 einigermaßen interessiert fairly interested
3 nicht sehr interessiert not very interested
4 überhaupt nicht interessiert not at all interested

ISSP 4pt usage by surveys and years
Survey #Years Years in detail
ISSP 3 2004, 2007, 2014

( i ) This table pertains to the surveys and years included in QuestionLink. The instrument may have been used in other surveys as well.

Equating information

( i ) The plot shows how the recoded scores of ISSP 4pt relate to the response scale of the GPANEL 8pt reference instrument.
The values in parentheses on the left are the original values of ISSP 4pt.

Equating links used to calculate the recoding table (click to reveal)

QuestionLink uses all available opportunities to link the two instruments. All those links then form the joint basis of the final recoding table. The table below shows the number of direct links (data for both instrument in the same year), time relaxation links (data from adjacent years), and links via relay (equating via another instrument in between to bridge larger time gaps).

Link type Number of equatings
time relaxation 4
via relay 372


Recode ALLBUS B 10pt

(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)

Recoding syntax

( i ) Replace “SOURCE_VARIABLE” with the variable containing the untransformed ALLBUS B 10pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.

R code (tidyverse — dplyr::mutate())

TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 1.18, `2` = 2.42, `3` = 3.38, `4` = 4.2, `5` = 4.93, `6` = 5.61, `7` = 6.12, `8` = 6.76, `9` = 7.36, `10` = 8.09)

R code (base)

TRANSFORMED_VARIABLE <- c(`1` = 1.18, `2` = 2.42, `3` = 3.38, `4` = 4.2, `5` = 4.93, `6` = 5.61, `7` = 6.12, `8` = 6.76, `9` = 7.36, `10` = 8.09)[SOURCE_VARIABLE]

Stata code

recode SOURCE_VARIABLE 1=1.18 2=2.42 3=3.38 4=4.2 5=4.93 6=5.61 7=6.12 8=6.76 9=7.36 10=8.09, gen(TRANSFORMED_VARIABLE)

SPSS code

RECODE SOURCE_VARIABLE (1=1.18) (2=2.42) (3=3.38) (4=4.2) (5=4.93) (6=5.61) (7=6.12) (8=6.76) (9=7.36) (10=8.09) INTO TRANSFORMED_VARIABLE.

Recoding table for manual recoding (click to reveal)
ALLBUS B 10pt scores GPANEL 8pt equivalents
1 1.18
2 2.42
3 3.38
4 4.20
5 4.93
6 5.61
7 6.12
8 6.76
9 7.36
10 8.09

Instrument

ALLBUS B 10pt Instrument
Wording:

Wie stark interessieren Sie sich für Politik?
(How strongly are you interested in politics?)

Original score Response options English translations
1 überhaupt nicht not at all
2
3
4
5
6
7
8
9
10 sehr stark very strongly

ALLBUS B 10pt usage by surveys and years
Survey #Years Years in detail
ALLBUS 2 1982, 1988

( i ) This table pertains to the surveys and years included in QuestionLink. The instrument may have been used in other surveys as well.

Equating information

( i ) The plot shows how the recoded scores of ALLBUS B 10pt relate to the response scale of the GPANEL 8pt reference instrument.
The values in parentheses on the left are the original values of ALLBUS B 10pt.

Equating links used to calculate the recoding table (click to reveal)

QuestionLink uses all available opportunities to link the two instruments. All those links then form the joint basis of the final recoding table. The table below shows the number of direct links (data for both instrument in the same year), time relaxation links (data from adjacent years), and links via relay (equating via another instrument in between to bridge larger time gaps).

Link type Number of equatings
via relay 210