
MENGHINDAR DARI BIAS: Praktik Triangulasi Dan Kesahihan Riset Kualitatif
Author(s) -
Moh. Zamili
Publication year - 2015
Publication title -
lisan al-hal
Language(s) - English
Resource type - Journals
eISSN - 2502-3667
pISSN - 1693-3230
DOI - 10.35316/lisanalhal.v9i2.97
Subject(s) - vagueness , trustworthiness , triangulation , phenomenon , measure (data warehouse) , epistemology , computer science , mathematics , psychology , social psychology , philosophy , data mining , artificial intelligence , geometry , fuzzy logic
A doubtly about the result and process of qualitative research couse vagueness in analysis of measure. As if qualitative research is a “grey methodology†so the relevances between one fact and another fact, data interconnection, even contruction of phenomenon might be otherwise apper a bias. On that reason, trustworthiness criteria, thick description, and triangulation is the answer toward that doubtly.