ScholarGate
सहायक

विधियों की तुलना करें

चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

ऑर्डिनल क्रोनबैक का अल्फा×क्रमिक विश्वसनीयता विश्लेषण×
क्षेत्रमनोमितिमनोमिति
परिवारLatent structureLatent structure
उद्भव वर्ष20072007
प्रवर्तकZumbo, Gadermann, and ZeisserBruno D. Zumbo and colleagues
प्रकारInternal consistency reliability coefficientInternal consistency reliability estimation
मौलिक स्रोतZumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗
उपनामalpha for ordinal data, polychoric alpha, ordinal reliability coefficient, alpha based on polychoric correlationsordinal alpha, polychoric reliability, reliability for ordinal scales, ORA
संबंधित35
सारांशOrdinal Cronbach's alpha is a reliability coefficient computed from polychoric or polyserial correlations rather than Pearson correlations, making it appropriate for Likert-type and other ordinal item response data. It corrects the systematic downward bias that standard Cronbach's alpha produces when items are treated as continuous but are actually ordinal.Ordinal reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

खोज पर जाएँ स्लाइड डाउनलोड करें

ScholarGateविधियों की तुलना करें: Ordinal Cronbach's Alpha · Ordinal Reliability Analysis. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare