TESTING DESTINATION IMAGE SCALE INVARIANCE FOR INTERGROUP COMPARISON


Ceylan D., ÇİZEL B., KARAKAŞ H.

TOURISM ANALYSIS, cilt.25, sa.2-3, ss.239-251, 2020 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 2-3
  • Basım Tarihi: 2020
  • Doi Numarası: 10.3727/108354220x15758301241756
  • Dergi Adı: TOURISM ANALYSIS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, CAB Abstracts, Hospitality & Tourism Complete, Hospitality & Tourism Index, Veterinary Science Database, DIALNET
  • Sayfa Sayıları: ss.239-251
  • Anahtar Kelimeler: Destination image, Scale invariance, Measurement invariance, Intergroup comparison, Nationality, MEASUREMENT EQUIVALENCE, BEHAVIOR, HEALTH, INDEX
  • Akdeniz Üniversitesi Adresli: Evet

Özet

In destination image studies, researchers often compare individuals and groups with measurement scales. Classical Test Theory (CTT) assumes, when comparing groups, that the scale measures the same social psychological construct in all groups. The assurance of measurement invariance is a prerequisite for meaningful comparisons across groups. This article reviews theoretical and methodological issues regarding measurement invariance within the framework of confirmatory factor analysis, and aims to test the measurement invariance of the destination image scale by nationality and gender. Confirmatory factor analysis assures that scores obtained from a destination image measurement model can be generalized for three nationalities and gender groups. In this respect, the results of the survey provide evidence that the scale can deliver valid and reliable measurements in determining the characteristics of British, German, and Russian tourists without gender bias. Invariance test assures the measurement model to be invariant for both females and males and therefore it is appropriate to compare the results across genders. The findings of this research and analysis methods used provide valuable insights to destination image literature and cast light on the path for future researchers.