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Open AccessOriginalarbeit

Hohenheimer Inventar zum Politikwissen (HIP)

Konstruktion und Skalierung

Published Online:https://doi.org/10.1026/0012-1924/a000180

Zusammenfassung. Politisches Wissen der Bürgerinnen und Bürger gilt als wesentlich für die Handlungsfähigkeit einer Demokratie und wird intensiv erforscht. Derzeit liegt jedoch kein Messinstrument vor, das theoretisch hergeleitet relevante Dimensionen des politischen Wissens diagnostiziert und frei für Forschungszwecke verfügbar ist. Wir entwickelten daher auf Basis des Rasch-Modells das Hohenheimer Inventar zum Politikwissen (HIP) mit den Dimensionen a) Grundlagen (staatliche Strukturen und historische Fakten) und b) Aktuelles (Themen und Akteure aus verschiedenen Politikfeldern). In einer deutschlandweiten Online-Befragung (N = 1 082) ergaben sich zufriedenstellende weighted-mean-square (WMNSQ)-infit-Werte der 85 Items (0.82 ≤ x ≤ 1.24) und eine expected-a-posteriori/plausible-values (EAP/PV)-Reliabilität von .92 für das eindimensionale Modell und von jeweils .91 für beide Dimensionen. Eine Validierung der Skala zeigte, dass die Personenwerte mit politischem Interesse, politischer Partizipation, politischer Informationsnutzung (Kriteriumsvalidierung) sowie dem subjektiven Wissen der Befragten (konvergente Konstruktvalidierung) zusammenhingen. Wir diskutieren die Herausforderung, die Dimension Aktuelles an sich verändernde politische Gegebenheiten anzupassen, sowie weitere Schritte der Skalenvalidierung.


Hohenheim Inventory of Political Knowledge (HIP): Scale Construction

Abstract. The political knowledge of citizens is regarded as an important basis of a democracy and has been studied extensively. However, no scale covers relevant theoretically derived dimensions of political knowledge and is accessible for academic research. Therefore, we developed the Hohenheim Inventory of Political Knowledge (HIP) based on the Rasch model. It covers the dimensions (a) general facts (political structures and historical facts) and (b) current issues (topics and actors of various political areas). A German-wide online survey (N = 1,082) revealed satisfactory weighted mean square (WMNSQ) infit values for the 85 items (0.82 ≤ × ≤ 1.24) and an expected-a-posteriori/plausible-values (EAP/PV) reliability of .92 for the one-dimensional model and of .91 for both dimensions. The scale was validated: Person scores correlated with political interest, political participation, political information use (criterion validity), and subjective knowledge of our participants (convergent construct validity). We discuss the challenge of adapting the dimension current issues to changing political circumstances and future steps of scale validation.

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