QMA at Universität Würzburg

Flashcards and summaries for QMA at the Universität Würzburg

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Empirisches Relativ

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Numerisches Relativ

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Welche Skalenniveaus gibt es

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Exemplary flashcards for QMA at the Universität Würzburg on StudySmarter:

Was ist Nominalskala

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Was ist Ordinalskala

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Intervallskala

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Rationalskala

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Absolutskala

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Was ist BTL-Model

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wie macht man BTL model

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Absolute Häufigkeit

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Kummulierte Häufigkeiten

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Exemplary flashcards for QMA at the Universität Würzburg on StudySmarter:

QMA

Empirisches Relativ

Die Beziehung zwischen Dingen (verschiedene Attraktivitätsurteile)

QMA

Numerisches Relativ

Zahlen und ihre Beziehung zueinander (100 > 5)


QMA

Welche Skalenniveaus gibt es

Nominalskala (gleich/ungleich)

Ordinalskala (größer/kleiner)

Intervallskala (Verhältnisse von Differenzen)

Rationalskala (Verhältnisse von Messwerten

Absolutskala (Messwerte an sich)


QMA

Was ist Nominalskala

Aussagen: Gleich/ungleich

Transformationen: alle eindeutigen

Bsp: Name. Geschlecht

QMA

Was ist Ordinalskala

Aussagen: größer/kleiner

Transformationen: streng monoton (Reihnfolge gleich)

Bsp: Ranglisten

QMA

Intervallskala

Aussagen: Verhältnisse von Differenzen

Transformationen: positiv linear (anderer Nullpunkt, andere Einheit)

Bsp: Temperatur in Celsius, Fahrenheit

QMA

Rationalskala

Aussagen: Verhältnisse von Messwerten

Transformationen: homogen lineare (andere Einheit (von Jahren in tage))

Bsp: Größe, alter, gewicht

QMA

Absolutskala

Aussagen: Messwerte an sich

Transformationen: keine

Bsp: Anzahlen

QMA

Was ist BTL-Model

Verfahren um aus Paarvergleichsdaten eine Verhältnisskala zu machen

QMA

wie macht man BTL model

  1. Absolute Häufigkeiten in relative Häufigkeiten umrechnen
  2. Gegenwahrscheinlickeiten ergänzen
  3. Verhaltnisse der Präferenzwahrscheinlickeiten berechnen (p/q)
  4. zeilenweise geometirsch mitteln (Excel: = GEOMITTEL)
  5. Einheit ändern (alle Mittelwerte duch kleinstes geometrischs Mittel teilen)

QMA

Absolute Häufigkeit

Anzahl

Symbole f(k)

QMA

Kummulierte Häufigkeiten

Wie veile personen haben einen Wert <= x=

Berechnung: von Links Aufsummieren

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