QuestionLink Version: beta_1
Document creation:
2022-04-19
For information on the construct and the selection criteria for instruments, see the left-right orientation construct page. For more information on how the recoding information was generated, see the QuestionLink homepage.
All other left-right orientation instruments are recoded into the numerical format of the reference instrument GPANEL 7pt.
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 7pt target instrument.
In der Politik reden die Leute häufig von “links” und “rechts”. Wo
würden Sie sich auf dieser Skala von ”links”nach ”rechts”einordnen?
(In politics, people often talk about ”left”or ”right”. Where would
you place yourself on this scale from ”left”to ”right”?)
Original score | Response options | English translations |
---|---|---|
1 | links | left |
2 | ||
3 | ||
4 | ||
5 | ||
6 | ||
7 | rechts | right |
Survey | #Years | Years in detail |
---|---|---|
GPANEL | 3 | 2013, 2014, 2017 |
( 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 ESS 11pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `0` = 0.88, `1` = 1.52,
`2` = 1.88, `3` = 2.6, `4` = 3.21, `5` = 4.03, `6` = 4.88, `7` = 5.35,
`8` = 6.09, `9` = 6.75, `10` = 7.22)
TRANSFORMED_VARIABLE <- c(`0` = 0.88, `1` = 1.52, `2` = 1.88, `3` =
2.6, `4` = 3.21, `5` = 4.03, `6` = 4.88, `7` = 5.35, `8` = 6.09, `9` =
6.75, `10` = 7.22)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 0=0.88 1=1.52 2=1.88 3=2.6 4=3.21 5=4.03 6=4.88
7=5.35 8=6.09 9=6.75 10=7.22, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (0=0.88) (1=1.52) (2=1.88) (3=2.6) (4=3.21)
(5=4.03) (6=4.88) (7=5.35) (8=6.09) (9=6.75) (10=7.22) INTO
TRANSFORMED_VARIABLE
ESS 11pt scores | GPANEL 7pt equivalents |
---|---|
0 | 0.88 |
1 | 1.52 |
2 | 1.88 |
3 | 2.60 |
4 | 3.21 |
5 | 4.03 |
6 | 4.88 |
7 | 5.35 |
8 | 6.09 |
9 | 6.75 |
10 | 7.22 |
In der Politik spricht man manchmal von “links” und “rechts”. Wo auf der
Skala auf Liste 10 würden Sie sich selbst einstufen, wenn 0 für links
steht und 10 für rechts?
(In politics people sometimes talk of
‘left’ and ‘right’. Using this card, where would you place yourself on
this scale, where 0 means the left and 10 means the right?)
Original score | Response options | English translations |
---|---|---|
0 | 0 Links | 0 left |
1 | 1 | 1 |
2 | 2 | 2 |
3 | 3 | 3 |
4 | 4 | 4 |
5 | 5 | 5 |
6 | 6 | 6 |
7 | 7 | 7 |
8 | 8 | 8 |
9 | 9 | 9 |
10 | 10 Rechts | 10 right |
Survey | #Years | Years in detail |
---|---|---|
ESS | 9 | 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016, 2018 |
GPANEL | 6 | 2013, 2015, 2016, 2017, 2018, 2019 |
ISSP | 1 | 2014 |
NEPS | 2 | 2013, 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 ESS
11pt relate to the response scale of the GPANEL
7pt reference instrument.
The values in parentheses on the
left are the original values of ESS 11pt.
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 | 6 |
time relaxation | 10 |
via relay | 262 |
(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 B 10pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 0.76, `2` = 1.51,
`3` = 2.17, `4` = 2.92, `5` = 3.71, `6` = 4.43, `7` = 5.26, `8` = 6.02,
`9` = 6.78, `10` = 7.28)
TRANSFORMED_VARIABLE <- c(`1` = 0.76, `2` = 1.51, `3` = 2.17, `4` =
2.92, `5` = 3.71, `6` = 4.43, `7` = 5.26, `8` = 6.02, `9` = 6.78, `10` =
7.28)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=0.76 2=1.51 3=2.17 4=2.92 5=3.71 6=4.43 7=5.26
8=6.02 9=6.78 10=7.28, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=0.76) (2=1.51) (3=2.17) (4=2.92) (5=3.71)
(6=4.43) (7=5.26) (8=6.02) (9=6.78) (10=7.28) INTO
TRANSFORMED_VARIABLE
ALLBUS B 10pt scores | GPANEL 7pt equivalents |
---|---|
1 | 0.76 |
2 | 1.51 |
3 | 2.17 |
4 | 2.92 |
5 | 3.71 |
6 | 4.43 |
7 | 5.26 |
8 | 6.02 |
9 | 6.78 |
10 | 7.28 |
Viele Leute verwenden die Begriffe “links” und “rechts”, wenn es darum
geht, unterschiedliche politische Einstellungen zu kennzeichnen. Wir
haben hier einen Maßstab, der von links nach rechts verläuft. Wenn Sie
an Ihre eigenen politischen Ansichten denken, wo würden Sie diese
Ansichten auf dieser Skala einstufen?
(Many people use the terms
“left” and “right” to describe differing political views. Here we have a
scale that runs from left to right. If you think of your own political
views, where would you place them on this scale?)
Original score | Response options | English translations |
---|---|---|
1 | F Links | F left |
2 | A | A |
3 | M | M |
4 | O | O |
5 | G | G |
6 | Z | Z |
7 | E | E |
8 | Y | Y |
9 | I | I |
10 | P Rechts | P right |
Survey | #Years | Years in detail |
---|---|---|
ALLBUS | 10 | 2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016, 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 ALLBUS B
10pt relate to the response scale of the GPANEL
7pt reference instrument.
The values in parentheses on the
left are the original values of ALLBUS B 10pt.
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 | 1 |
time relaxation | 4 |
via relay | 112 |
(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 10pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 0.8, `2` = 1.55,
`3` = 2.2, `4` = 2.94, `5` = 3.87, `6` = 4.59, `7` = 5.25, `8` = 5.93,
`9` = 6.46, `10` = 7.03)
TRANSFORMED_VARIABLE <- c(`1` = 0.8, `2` = 1.55, `3` = 2.2, `4` =
2.94, `5` = 3.87, `6` = 4.59, `7` = 5.25, `8` = 5.93, `9` = 6.46, `10` =
7.03)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=0.8 2=1.55 3=2.2 4=2.94 5=3.87 6=4.59 7=5.25
8=5.93 9=6.46 10=7.03, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=0.8) (2=1.55) (3=2.2) (4=2.94) (5=3.87)
(6=4.59) (7=5.25) (8=5.93) (9=6.46) (10=7.03) INTO
TRANSFORMED_VARIABLE
EVS 10pt scores | GPANEL 7pt equivalents |
---|---|
1 | 0.80 |
2 | 1.55 |
3 | 2.20 |
4 | 2.94 |
5 | 3.87 |
6 | 4.59 |
7 | 5.25 |
8 | 5.93 |
9 | 6.46 |
10 | 7.03 |
In der Politik spricht man von rechts und links. Wie würden Sie ganz
allgemein Ihren eigenen politischen Standort beschreiben: Wo auf dieser
Skala würden Sie sich selbst einstufen?
(In political matters,
people talk of ‘the left’ and ‘the right’. How would you place your
views on this scale generally speaking?)
Original score | Response options | English translations |
---|---|---|
1 | 1 Links | 1 left |
2 | 2 | 2 |
3 | 3 | 3 |
4 | 4 | 4 |
5 | 5 | 5 |
6 | 6 | 6 |
7 | 7 | 7 |
8 | 8 | 8 |
9 | 9 | 9 |
10 | 10 Rechts | 10 right |
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
10pt relate to the response scale of the GPANEL
7pt reference instrument.
The values in parentheses on the
left are the original values of EVS 10pt.
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 | 1 |
via relay | 55 |
(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 10pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 0.98, `2` = 1.66,
`3` = 2.33, `4` = 3.15, `5` = 3.87, `6` = 4.58, `7` = 5.24, `8` = 5.62,
`9` = 6.24, `10` = 6.71)
TRANSFORMED_VARIABLE <- c(`1` = 0.98, `2` = 1.66, `3` = 2.33, `4` =
3.15, `5` = 3.87, `6` = 4.58, `7` = 5.24, `8` = 5.62, `9` = 6.24, `10` =
6.71)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=0.98 2=1.66 3=2.33 4=3.15 5=3.87 6=4.58 7=5.24
8=5.62 9=6.24 10=6.71, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=0.98) (2=1.66) (3=2.33) (4=3.15) (5=3.87)
(6=4.58) (7=5.24) (8=5.62) (9=6.24) (10=6.71) INTO
TRANSFORMED_VARIABLE
ALLBUS A 10pt scores | GPANEL 7pt equivalents |
---|---|
1 | 0.98 |
2 | 1.66 |
3 | 2.33 |
4 | 3.15 |
5 | 3.87 |
6 | 4.58 |
7 | 5.24 |
8 | 5.62 |
9 | 6.24 |
10 | 6.71 |
Viele Leute verwenden die Begriffe “links” und “rechts”, wenn es darum
geht, unterschiedliche politische Einstellungen zu kennzeichnen. Wir
haben hier einen Maßstab, der von links nach rechts verläuft. Wenn Sie
an Ihre eigenen politischen Ansichten denken, wo würden Sie diese
Ansichten auf dieser Skala einstufen?
(Many people use the terms
“left” and “right” to describe differing political views. Here we have a
scale that runs from left to right. If you think of your own political
views, where would you place them on this scale?)
Original score | Response options | English translations |
---|---|---|
1 | links | left |
2 | ||
3 | ||
4 | ||
5 | ||
6 | ||
7 | ||
8 | ||
9 | ||
10 | rechts | right |
Survey | #Years | Years in detail |
---|---|---|
ALLBUS | 2 | 1991, 1998 |
ISSP | 1 | 1990 |
( 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
10pt relate to the response scale of the GPANEL
7pt reference instrument.
The values in parentheses on the
left are the original values of ALLBUS A 10pt.
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 | 3 |
(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 GLES 11pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `1` = 0.78, `2` = 1.52,
`3` = 2.08, `4` = 2.8, `5` = 3.51, `6` = 4.19, `7` = 4.95, `8` = 5.44,
`9` = 6.26, `10` = 6.82, `11` = 7.25)
TRANSFORMED_VARIABLE <- c(`1` = 0.78, `2` = 1.52, `3` = 2.08, `4` =
2.8, `5` = 3.51, `6` = 4.19, `7` = 4.95, `8` = 5.44, `9` = 6.26, `10` =
6.82, `11` = 7.25)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 1=0.78 2=1.52 3=2.08 4=2.8 5=3.51 6=4.19 7=4.95
8=5.44 9=6.26 10=6.82 11=7.25, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (1=0.78) (2=1.52) (3=2.08) (4=2.8) (5=3.51)
(6=4.19) (7=4.95) (8=5.44) (9=6.26) (10=6.82) (11=7.25) INTO
TRANSFORMED_VARIABLE
GLES 11pt scores | GPANEL 7pt equivalents |
---|---|
1 | 0.78 |
2 | 1.52 |
3 | 2.08 |
4 | 2.80 |
5 | 3.51 |
6 | 4.19 |
7 | 4.95 |
8 | 5.44 |
9 | 6.26 |
10 | 6.82 |
11 | 7.25 |
In der Politik reden die Leute häufig von „links“ und „rechts“. (…) Und
wie ist das mit Ihnen selbst? Wo würden Sie sich auf der Skala von 1 bis
11 einordnen?
(In politics, people often talk about “left” and
“right”. (…) And how about yourself? Where would you place yourself on a
scale from 1 to 11?)
Original score | Response options | English translations |
---|---|---|
1 | 01 links | 01 left |
2 | 02 | 02 |
3 | 03 | 03 |
4 | 04 | 04 |
5 | 05 | 05 |
6 | 06 | 06 |
7 | 07 | 07 |
8 | 08 | 08 |
9 | 09 | 09 |
10 | 10 | 10 |
11 | 11 rechts | 11 right |
Survey | #Years | Years in detail |
---|---|---|
GLES | 3 | 2009, 2013, 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 GLES
11pt relate to the response scale of the GPANEL
7pt reference instrument.
The values in parentheses on the
left are the original values of GLES 11pt.
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 | 2 |
time relaxation | 1 |
via relay | 75 |
(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 11pt scores and “TRANSFORMED_VARIABLE” with the desired new variable name.
TRANSFORMED_VARIABLE = recode(SOURCE_VARIABLE, `0` = 0.69, `1` = 1.11,
`2` = 1.71, `3` = 2.4, `4` = 2.99, `5` = 3.99, `6` = 4.99, `7` = 5.45,
`8` = 6.28, `9` = 7.02, `10` = 7.34)
TRANSFORMED_VARIABLE <- c(`0` = 0.69, `1` = 1.11, `2` = 1.71, `3` =
2.4, `4` = 2.99, `5` = 3.99, `6` = 4.99, `7` = 5.45, `8` = 6.28, `9` =
7.02, `10` = 7.34)[SOURCE_VARIABLE]
recode SOURCE_VARIABLE 0=0.69 1=1.11 2=1.71 3=2.4 4=2.99 5=3.99 6=4.99
7=5.45 8=6.28 9=7.02 10=7.34, gen(TRANSFORMED_VARIABLE)
RECODE SOURCE_VARIABLE (0=0.69) (1=1.11) (2=1.71) (3=2.4) (4=2.99)
(5=3.99) (6=4.99) (7=5.45) (8=6.28) (9=7.02) (10=7.34) INTO
TRANSFORMED_VARIABLE
SOEP 11pt scores | GPANEL 7pt equivalents |
---|---|
0 | 0.69 |
1 | 1.11 |
2 | 1.71 |
3 | 2.40 |
4 | 2.99 |
5 | 3.99 |
6 | 4.99 |
7 | 5.45 |
8 | 6.28 |
9 | 7.02 |
10 | 7.34 |
In der Politik reden die Leute oft von „links“ und „rechts“, wenn es
darum geht, unterschiedliche politische Einstellungen zu kennzeichnen.
Wenn Sie an Ihre eigenen politischen Ansichten denken: Wo würden Sie
diese Ansichten einstufen?
(In politics, people often talk about
“left” and “right” when describing different political views. When you
think about your own political views, how would you rate them on the
scale below?)
Original score | Response options | English translations |
---|---|---|
0 | 0 ganz links | 0 completely left |
1 | 1 | 1 |
2 | 2 | 2 |
3 | 3 | 3 |
4 | 4 | 4 |
5 | 5 | 5 |
6 | 6 | 6 |
7 | 7 | 7 |
8 | 8 | 8 |
9 | 9 | 9 |
10 | 10 ganz rechts | 10 completely right |
Survey | #Years | Years in detail |
---|---|---|
SOEP | 3 | 2005, 2009, 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 SOEP
11pt relate to the response scale of the GPANEL
7pt reference instrument.
The values in parentheses on the
left are the original values of SOEP 11pt.
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 | 1 |
time relaxation | 1 |
via relay | 61 |