Table II. Qualitative analysis of data b...

Table II.

Qualitative analysis of data^b

Step	Task	Operationalization	Theoretical foundation
Data reduction	Separation of elements	The data of the interview were separated according to categories (e.g. UDP, the presence of expressions and flows of tacit knowledge)	Represents the separation of segments or units, in this case, depending on the subject (Flores, 1994)
	Identification and classification of the elements	Codes have been assigned to each data category, with abbreviations of words by using three letters	The category is a mental construct in which the content of each unit can be compared to determine if it belongs or not to this category (Flores, 1994)
	Grouping	Corresponding elements were grouped under defined categories	Through categorization, different data units are located under the same topic; that is, the same group (Flores, 1994)
Disposition of data	Transformations and disposition	Data were expressed through: mental maps of people about UDP; contingency tables (to relate the incidence of moments from the use of TK); arrays that are related, not necessarily quantitative variables; diagrams; descriptive texts	Transformation refers to the presentation of data in a language or form of expression. “Disposition is an organized set of information, presented in some special order, that allows you to conclude” (Flores, 1994, p. 53)
Attainment and verification of the findings	Extraction of conclusions	From the available data, the meanings that survey respondents attach to their UDP practices and their relationship to the TK were identified	Conclusions are joined with developed ideas, achieving the synthesis that corresponds to the wording in the introduction (Galliano, 1986). Conclusions must fit into different elements in the analytical process, to rebuild a structured and meaningful whole (Flores, 1994)
Attainment and verification of the findings	Verification of findings	Conclusions went through validation with some participants	To verify the conclusions of a study means to prove their reliability^a (Flores, 1994)

Step	Task	Operationalization	Theoretical foundation
Data reduction	Separation of elements	The data of the interview were separated according to categories (e.g. UDP, the presence of expressions and flows of tacit knowledge)	Represents the separation of segments or units, in this case, depending on the subject (Flores, 1994)
	Identification and classification of the elements	Codes have been assigned to each data category, with abbreviations of words by using three letters	The category is a mental construct in which the content of each unit can be compared to determine if it belongs or not to this category (Flores, 1994)
	Grouping	Corresponding elements were grouped under defined categories	Through categorization, different data units are located under the same topic; that is, the same group (Flores, 1994)
Disposition of data	Transformationsand disposition	Data were expressed through:mental maps of people about UDP;contingency tables (to relate the incidence of moments from the use of TK);arrays that are related, not necessarily quantitative variables;diagrams;descriptive texts	Transformation refers to the presentation of data in a language or form of expression. “Disposition is an organized set of information, presented in some special order, that allows you to conclude” (Flores, 1994, p. 53)
Attainment and verification of the findings	Extraction of conclusions	From the available data, the meanings that survey respondents attach to their UDP practices and their relationship to the TK were identified	Conclusions are joined with developed ideas, achieving the synthesis that corresponds to the wording in the introduction (Galliano, 1986). Conclusions must fit into different elements in the analytical process, to rebuild a structured and meaningful whole (Flores, 1994)
Attainment and verification of the findings	Verification of findings	Conclusions went through validation with some participants	To verify the conclusions of a study means to prove their reliability^a (Flores, 1994)

Notes:

^aThe term validity is appropriate to research quantitative in nature (Flores (1994);

^bTo assist in the processing and analysis of data, the NVivo® software was used

Source: Prepared by the authors from Flores (1994), Galliano (1986); McDonald, Daniels, and Harris (2004)

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