Political space representations with approval data
Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Alós-Ferrer, Carlos [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
16 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Family Planning Reminder Systems: An Updated Systematic Review - Zapata, Lauren B. ELSEVIER, 2018, an international journal on voting and electoral systems and strategy, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:39 ; year:2015 ; pages:56-71 ; extent:16 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.electstud.2015.04.003 |
|---|
| Katalog-ID: |
ELV02344438X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV02344438X | ||
| 003 | DE-627 | ||
| 005 | 20230625141255.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2015 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.electstud.2015.04.003 |2 doi | |
| 028 | 5 | 2 | |a GBVA2015008000001.pica |
| 035 | |a (DE-627)ELV02344438X | ||
| 035 | |a (ELSEVIER)S0261-3794(15)00098-0 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 320 | |
| 082 | 0 | 4 | |a 320 |q DE-600 |
| 082 | 0 | 4 | |a 610 |q VZ |
| 084 | |a 44.11 |2 bkl | ||
| 100 | 1 | |a Alós-Ferrer, Carlos |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Political space representations with approval data |
| 264 | 1 | |c 2015transfer abstract | |
| 300 | |a 16 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. | ||
| 520 | |a Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. | ||
| 650 | 7 | |a W-NOMINATE |2 Elsevier | |
| 650 | 7 | |a Approval Voting |2 Elsevier | |
| 650 | 7 | |a Policy positions |2 Elsevier | |
| 650 | 7 | |a Political space |2 Elsevier | |
| 700 | 1 | |a Granić, Đura-Georg |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Zapata, Lauren B. ELSEVIER |t Family Planning Reminder Systems: An Updated Systematic Review |d 2018 |d an international journal on voting and electoral systems and strategy |g Amsterdam [u.a.] |w (DE-627)ELV000919683 |
| 773 | 1 | 8 | |g volume:39 |g year:2015 |g pages:56-71 |g extent:16 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.electstud.2015.04.003 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 44.11 |j Präventivmedizin |q VZ |
| 951 | |a AR | ||
| 952 | |d 39 |j 2015 |h 56-71 |g 16 | ||
| 953 | |2 045F |a 320 | ||
| author_variant |
c a f caf |
|---|---|
| matchkey_str |
alsferrercarlosgraniurageorg:2015----:oiiasaeersnainwt |
| hierarchy_sort_str |
2015transfer abstract |
| bklnumber |
44.11 |
| publishDate |
2015 |
| allfields |
10.1016/j.electstud.2015.04.003 doi GBVA2015008000001.pica (DE-627)ELV02344438X (ELSEVIER)S0261-3794(15)00098-0 DE-627 ger DE-627 rakwb eng 320 320 DE-600 610 VZ 44.11 bkl Alós-Ferrer, Carlos verfasserin aut Political space representations with approval data 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space Elsevier Granić, Đura-Georg oth Enthalten in Elsevier Science Zapata, Lauren B. ELSEVIER Family Planning Reminder Systems: An Updated Systematic Review 2018 an international journal on voting and electoral systems and strategy Amsterdam [u.a.] (DE-627)ELV000919683 volume:39 year:2015 pages:56-71 extent:16 https://doi.org/10.1016/j.electstud.2015.04.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 39 2015 56-71 16 045F 320 |
| spelling |
10.1016/j.electstud.2015.04.003 doi GBVA2015008000001.pica (DE-627)ELV02344438X (ELSEVIER)S0261-3794(15)00098-0 DE-627 ger DE-627 rakwb eng 320 320 DE-600 610 VZ 44.11 bkl Alós-Ferrer, Carlos verfasserin aut Political space representations with approval data 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space Elsevier Granić, Đura-Georg oth Enthalten in Elsevier Science Zapata, Lauren B. ELSEVIER Family Planning Reminder Systems: An Updated Systematic Review 2018 an international journal on voting and electoral systems and strategy Amsterdam [u.a.] (DE-627)ELV000919683 volume:39 year:2015 pages:56-71 extent:16 https://doi.org/10.1016/j.electstud.2015.04.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 39 2015 56-71 16 045F 320 |
| allfields_unstemmed |
10.1016/j.electstud.2015.04.003 doi GBVA2015008000001.pica (DE-627)ELV02344438X (ELSEVIER)S0261-3794(15)00098-0 DE-627 ger DE-627 rakwb eng 320 320 DE-600 610 VZ 44.11 bkl Alós-Ferrer, Carlos verfasserin aut Political space representations with approval data 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space Elsevier Granić, Đura-Georg oth Enthalten in Elsevier Science Zapata, Lauren B. ELSEVIER Family Planning Reminder Systems: An Updated Systematic Review 2018 an international journal on voting and electoral systems and strategy Amsterdam [u.a.] (DE-627)ELV000919683 volume:39 year:2015 pages:56-71 extent:16 https://doi.org/10.1016/j.electstud.2015.04.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 39 2015 56-71 16 045F 320 |
| allfieldsGer |
10.1016/j.electstud.2015.04.003 doi GBVA2015008000001.pica (DE-627)ELV02344438X (ELSEVIER)S0261-3794(15)00098-0 DE-627 ger DE-627 rakwb eng 320 320 DE-600 610 VZ 44.11 bkl Alós-Ferrer, Carlos verfasserin aut Political space representations with approval data 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space Elsevier Granić, Đura-Georg oth Enthalten in Elsevier Science Zapata, Lauren B. ELSEVIER Family Planning Reminder Systems: An Updated Systematic Review 2018 an international journal on voting and electoral systems and strategy Amsterdam [u.a.] (DE-627)ELV000919683 volume:39 year:2015 pages:56-71 extent:16 https://doi.org/10.1016/j.electstud.2015.04.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 39 2015 56-71 16 045F 320 |
| allfieldsSound |
10.1016/j.electstud.2015.04.003 doi GBVA2015008000001.pica (DE-627)ELV02344438X (ELSEVIER)S0261-3794(15)00098-0 DE-627 ger DE-627 rakwb eng 320 320 DE-600 610 VZ 44.11 bkl Alós-Ferrer, Carlos verfasserin aut Political space representations with approval data 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space Elsevier Granić, Đura-Georg oth Enthalten in Elsevier Science Zapata, Lauren B. ELSEVIER Family Planning Reminder Systems: An Updated Systematic Review 2018 an international journal on voting and electoral systems and strategy Amsterdam [u.a.] (DE-627)ELV000919683 volume:39 year:2015 pages:56-71 extent:16 https://doi.org/10.1016/j.electstud.2015.04.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.11 Präventivmedizin VZ AR 39 2015 56-71 16 045F 320 |
| language |
English |
| source |
Enthalten in Family Planning Reminder Systems: An Updated Systematic Review Amsterdam [u.a.] volume:39 year:2015 pages:56-71 extent:16 |
| sourceStr |
Enthalten in Family Planning Reminder Systems: An Updated Systematic Review Amsterdam [u.a.] volume:39 year:2015 pages:56-71 extent:16 |
| format_phy_str_mv |
Article |
| bklname |
Präventivmedizin |
| institution |
findex.gbv.de |
| topic_facet |
W-NOMINATE Approval Voting Policy positions Political space |
| dewey-raw |
320 |
| isfreeaccess_bool |
false |
| container_title |
Family Planning Reminder Systems: An Updated Systematic Review |
| authorswithroles_txt_mv |
Alós-Ferrer, Carlos @@aut@@ Granić, Đura-Georg @@oth@@ |
| publishDateDaySort_date |
2015-01-01T00:00:00Z |
| hierarchy_top_id |
ELV000919683 |
| dewey-sort |
3320 |
| id |
ELV02344438X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV02344438X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625141255.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.electstud.2015.04.003</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2015008000001.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV02344438X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0261-3794(15)00098-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">320</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">320</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.11</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alós-Ferrer, Carlos</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Political space representations with approval data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">16</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">W-NOMINATE</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Approval Voting</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Policy positions</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Political space</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Granić, Đura-Georg</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Zapata, Lauren B. ELSEVIER</subfield><subfield code="t">Family Planning Reminder Systems: An Updated Systematic Review</subfield><subfield code="d">2018</subfield><subfield code="d">an international journal on voting and electoral systems and strategy</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000919683</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2015</subfield><subfield code="g">pages:56-71</subfield><subfield code="g">extent:16</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.electstud.2015.04.003</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.11</subfield><subfield code="j">Präventivmedizin</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2015</subfield><subfield code="h">56-71</subfield><subfield code="g">16</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">320</subfield></datafield></record></collection>
|
| author |
Alós-Ferrer, Carlos |
| spellingShingle |
Alós-Ferrer, Carlos ddc 320 ddc 610 bkl 44.11 Elsevier W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space Political space representations with approval data |
| authorStr |
Alós-Ferrer, Carlos |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV000919683 |
| format |
electronic Article |
| dewey-ones |
320 - Political science 610 - Medicine & health |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
320 320 DE-600 610 VZ 44.11 bkl Political space representations with approval data W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space Elsevier |
| topic |
ddc 320 ddc 610 bkl 44.11 Elsevier W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space |
| topic_unstemmed |
ddc 320 ddc 610 bkl 44.11 Elsevier W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space |
| topic_browse |
ddc 320 ddc 610 bkl 44.11 Elsevier W-NOMINATE Elsevier Approval Voting Elsevier Policy positions Elsevier Political space |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
đ g g đgg |
| hierarchy_parent_title |
Family Planning Reminder Systems: An Updated Systematic Review |
| hierarchy_parent_id |
ELV000919683 |
| dewey-tens |
320 - Political science 610 - Medicine & health |
| hierarchy_top_title |
Family Planning Reminder Systems: An Updated Systematic Review |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV000919683 |
| title |
Political space representations with approval data |
| ctrlnum |
(DE-627)ELV02344438X (ELSEVIER)S0261-3794(15)00098-0 |
| title_full |
Political space representations with approval data |
| author_sort |
Alós-Ferrer, Carlos |
| journal |
Family Planning Reminder Systems: An Updated Systematic Review |
| journalStr |
Family Planning Reminder Systems: An Updated Systematic Review |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
zzz |
| container_start_page |
56 |
| author_browse |
Alós-Ferrer, Carlos |
| container_volume |
39 |
| physical |
16 |
| class |
320 320 DE-600 610 VZ 44.11 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Alós-Ferrer, Carlos |
| doi_str_mv |
10.1016/j.electstud.2015.04.003 |
| dewey-full |
320 610 |
| title_sort |
political space representations with approval data |
| title_auth |
Political space representations with approval data |
| abstract |
Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. |
| abstractGer |
Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. |
| abstract_unstemmed |
Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Political space representations with approval data |
| url |
https://doi.org/10.1016/j.electstud.2015.04.003 |
| remote_bool |
true |
| author2 |
Granić, Đura-Georg |
| author2Str |
Granić, Đura-Georg |
| ppnlink |
ELV000919683 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1016/j.electstud.2015.04.003 |
| up_date |
2024-07-06T18:53:05.177Z |
| _version_ |
1803856888650006528 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV02344438X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625141255.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.electstud.2015.04.003</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2015008000001.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV02344438X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0261-3794(15)00098-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">320</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">320</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.11</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alós-Ferrer, Carlos</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Political space representations with approval data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">16</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data from political elections provide a snapshot of the political landscape of a country or region. This snapshot is filtered, and maybe also distorted, through the lens of the voting method in place. The standard Plurality Voting method, by virtue of asking every voter to report only the maximum of his or her preferences, might provide too little data for an accurate snapshot. We analyze data from two large-scale field experiments in Germany, where voters employed Approval Voting for both parties and candidates. The analysis reveals that the underlying political landscapes, as perceived by the voters, are inherently multidimensional and cannot be reduced to a single left-right dimension, or even to a two-dimensional space. We compare the obtained representations with those derived from party positions as revealed by the ‘Wahl-o-Mat’ voting advice application, and further compare the results with those of the W-NOMINATE procedure.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">W-NOMINATE</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Approval Voting</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Policy positions</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Political space</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Granić, Đura-Georg</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Zapata, Lauren B. ELSEVIER</subfield><subfield code="t">Family Planning Reminder Systems: An Updated Systematic Review</subfield><subfield code="d">2018</subfield><subfield code="d">an international journal on voting and electoral systems and strategy</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000919683</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:39</subfield><subfield code="g">year:2015</subfield><subfield code="g">pages:56-71</subfield><subfield code="g">extent:16</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.electstud.2015.04.003</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.11</subfield><subfield code="j">Präventivmedizin</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">39</subfield><subfield code="j">2015</subfield><subfield code="h">56-71</subfield><subfield code="g">16</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">320</subfield></datafield></record></collection>
|
| score |
7.397977 |