beta_1
— Document creation 2022-02-21
This recoding document features recpding scripts with which many instruments for Politisches Interesse can be harmonized towards the chosen reference instrument ALLBUS B 10pt.
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.
In the following, we provide equating information with which scores from several source instruments can be transformed into scores in the format of the ALLBUS B 10pt target instrument.
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 |
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.
(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)
( 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 ALLBUS B 10pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 9.79, `2` = 7.96, `3` = 5.25, `4` = 2.51, `5` = 0.99)
TRANSFORMED_VARIABLE <- c(`1` = 9.79, `2` = 7.96, `3` = 5.25, `4` = 2.51, `5` = 0.99)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=9.79 2=7.96 3=5.25 4=2.51 5=0.99, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=9.79) (2=7.96) (3=5.25) (4=2.51) (5=0.99) INTO TRANSFORMED_VARIABLE.
ALLBUS A 5pt scores | ALLBUS B 10pt equivalents |
---|---|
1 | 9.79 |
2 | 7.96 |
3 | 5.25 |
4 | 2.51 |
5 | 0.99 |
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 |
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.
( i ) The plot shows how the recoded scores of ALLBUS A 5pt relate to the response scale of the ALLBUS B 10pt reference instrument.
The values in parentheses on the left are the original values of ALLBUS A 5pt.
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 | 5 |
via relay | 1395 |
(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)
( 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 ALLBUS B 10pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 10.06, `2` = 8.23, `3` = 5.19, `4` = 1.67)
TRANSFORMED_VARIABLE <- c(`1` = 10.06, `2` = 8.23, `3` = 5.19, `4` = 1.67)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=10.06 2=8.23 3=5.19 4=1.67, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=10.06) (2=8.23) (3=5.19) (4=1.67) INTO TRANSFORMED_VARIABLE.
SOEP 4pt scores | ALLBUS B 10pt equivalents |
---|---|
1 | 10.06 |
2 | 8.23 |
3 | 5.19 |
4 | 1.67 |
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 |
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.
( i ) The plot shows how the recoded scores of SOEP 4pt relate to the response scale of the ALLBUS B 10pt reference instrument.
The values in parentheses on the left are the original values of SOEP 4pt.
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 | 8 |
via relay | 196 |
(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)
( 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 ALLBUS B 10pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 9.17, `2` = 6.47, `3` = 3.03, `4` = 0.9)
TRANSFORMED_VARIABLE <- c(`1` = 9.17, `2` = 6.47, `3` = 3.03, `4` = 0.9)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=9.17 2=6.47 3=3.03 4=0.9, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=9.17) (2=6.47) (3=3.03) (4=0.9) INTO TRANSFORMED_VARIABLE.
ESS 4pt scores | ALLBUS B 10pt equivalents |
---|---|
1 | 9.17 |
2 | 6.47 |
3 | 3.03 |
4 | 0.90 |
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 |
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.
( i ) The plot shows how the recoded scores of ESS 4pt relate to the response scale of the ALLBUS B 10pt reference instrument.
The values in parentheses on the left are the original values of ESS 4pt.
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 | 480 |
(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)
( 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 ALLBUS B 10pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 8.76, `2` = 5.76, `3` = 2.87, `4` = 1.18)
TRANSFORMED_VARIABLE <- c(`1` = 8.76, `2` = 5.76, `3` = 2.87, `4` = 1.18)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=8.76 2=5.76 3=2.87 4=1.18, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=8.76) (2=5.76) (3=2.87) (4=1.18) INTO TRANSFORMED_VARIABLE.
EVS 4pt scores | ALLBUS B 10pt equivalents |
---|---|
1 | 8.76 |
2 | 5.76 |
3 | 2.87 |
4 | 1.18 |
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 |
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.
( i ) The plot shows how the recoded scores of EVS 4pt relate to the response scale of the ALLBUS B 10pt reference instrument.
The values in parentheses on the left are the original values of EVS 4pt.
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 | 156 |
(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)
( 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 ALLBUS B 10pt. Recoding will flip the direction of the response scale so that the interpretation of lower and higher values matches the reference instrument.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 8.9, `2` = 5.74, `3` = 2.72, `4` = 1.12)
TRANSFORMED_VARIABLE <- c(`1` = 8.9, `2` = 5.74, `3` = 2.72, `4` = 1.12)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=8.9 2=5.74 3=2.72 4=1.12, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=8.9) (2=5.74) (3=2.72) (4=1.12) INTO TRANSFORMED_VARIABLE.
ISSP 4pt scores | ALLBUS B 10pt equivalents |
---|---|
1 | 8.90 |
2 | 5.74 |
3 | 2.72 |
4 | 1.12 |
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 |
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.
( i ) The plot shows how the recoded scores of ISSP 4pt relate to the response scale of the ALLBUS B 10pt reference instrument.
The values in parentheses on the left are the original values of ISSP 4pt.
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 | 124 |
(Click the tabs below for the recoding syntax and table, source instrument information, or equating information.)
( i ) Replace “SOURCE_VARIABLE” with the variable containing the untransformed GPANEL 8pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 0.87, `2` = 1.69, `3` = 2.63, `4` = 3.72, `5` = 5.09, `6` = 6.8, `7` = 8.32, `8` = 9.89)
TRANSFORMED_VARIABLE <- c(`1` = 0.87, `2` = 1.69, `3` = 2.63, `4` = 3.72, `5` = 5.09, `6` = 6.8, `7` = 8.32, `8` = 9.89)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=0.87 2=1.69 3=2.63 4=3.72 5=5.09 6=6.8 7=8.32 8=9.89, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=0.87) (2=1.69) (3=2.63) (4=3.72) (5=5.09) (6=6.8) (7=8.32) (8=9.89) INTO TRANSFORMED_VARIABLE.
GPANEL 8pt scores | ALLBUS B 10pt equivalents |
---|---|
1 | 0.87 |
2 | 1.69 |
3 | 2.63 |
4 | 3.72 |
5 | 5.09 |
6 | 6.80 |
7 | 8.32 |
8 | 9.89 |
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 |
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.
( i ) The plot shows how the recoded scores of GPANEL 8pt relate to the response scale of the ALLBUS B 10pt reference instrument.
The values in parentheses on the left are the original values of GPANEL 8pt.
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 | 168 |