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2014, vol. 63, br. 4, str. 595-606
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Karakteristike obrade podataka u kvalitativnom istraživanju
Data processing characteristics in qualitative research
Projekat: Modeli procenjivanja i strategije unapređivanja kvaliteta obrazovanja u Srbiji (MPNTR - 179060)
Sažetak
U radu se razmatra problem obrade podataka u kvalitativnom istraživanju. Polaznu osnovu predstavlja analiza prirode podataka koji se obrađuju. Karakteristike obrade podataka u tom istraživanju razmatraju se sa stanovišta: cilja, logike na kojoj se zasniva, odnosa prema drugim fazama u istraživanju, procesa realizacije. Posebna pažnja posvećena je analizi sličnosti i razlika koje postoje u tom procesu između kvantitativnog i kvalitativnog istraživanja. U radu se ukazuje na više karakteristika obrade podataka u kvalitativnom istraživanju: ona se odnosi na podatke koji najčešće predstavljaju opis iskazan rečima; njen opšti cilj je razumevanje smisla i značenja sakupljene empirijske građe; njena realizacija podrazumeva razvijanje kodova i na osnovu njih kreiranje širih kategorija informacija; ona predstavlja proces koji je fleksibilno organizovan, cikličan, iterativan itd. Razlike između obrade podataka u kvantitativnom i kvalitativnom istraživanju posebno su izražene u domenu cilja, vrste i prirode aktivnosti kroz koje se ostvaruje.
Abstract
The paper considers the problem of data processing in qualitative research. The starting point is the analysis of the nature of the data which are processed. The characteristics of data processing are discussed from the point of view of the aim, the logic on which it is grounded, the relations to other phases in the research, the realization process. Special attention is paid to the analysis of similarities and differences which exist in this process in relation to quantitative research. A number of characteristics of data processing in qualitative research are stated: the data gathered from verbal descriptions; a general aim to understand the meaning and significance of the collected empirical material; it implies code comprehension and, based on this understanding, the development of the codes and subsequent creation of the information of wider categories; it is a flexibly organized process, cyclic and interactive, etc. The differences between data processing in quantitative and qualitative research are especially big in the domain of the aim, type and nature of the activities by which the aim is achieved.
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