Examples of using Categorization of data in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Categorization of data from content and files.
Data were analyzed by using content analysis with qualitative approach and thematic categorization of data.
After collecting the data, the analysis and categorization of data were carried out for the construction of the invocation diagram.
Automatic classification methods have been developed in machine learning area in order to facilitate the categorization of data.
The analysis of the results was through the categorization of data, using the calculation of frequency of responses.
Thematic categorization of data was performed according to criteria of data relevance for the research objectives.
The research was developed through bibliographical and documental research, semi-structured interviews, transcript analysis,coding and categorization of data.
Since the categorization of data was preceded by a thematic analysis, data were segregated according to the semantic criteria of content of interviews.
Accordingly, the organization of the content comprised the following steps:encoding the data; categorization of data; and interaction of the theme topics.
This judgment was conducted in two phases: analysis,which includes the categorization of data and the identification of gaps; and synthesis, which comprises grouping, comparison, identification and relationship of etiological factors.
For data analysis, we considered the reference of Morse and Field that advocates, in qualitative analysis, the following steps: identification,coding and categorization of data.
After treatment, classification and categorization of data, the following categories emerged: verbal expressions used in nursing care; facial expressions used in nursing care; eye expressions used in nursing care; and bodily expressions used in nursing care.
Data collection was conducted with employees of the state of espirito santo belonging to generation y class a, b and c. after the collection was performed the analysis and categorization of data for the construction of evocation diagram. thus.
The presentation of data was carried out descriptively,proceeding to the categorization of data, extracted from the selected studies, into thematic groups, by the identification of variables of interest and key concepts, as proposed in the specific literature regarding the integrative literature review.
That analysis is performed in two moments: the analysis of constituent elements in scientific articles and the analysis of general sense of content implicating codification,systematization and categorization of data, and, finally, interpretation and understanding.
The operations leading to an internal categorization of data a posteriori aimed to establish categories, by an inductive process, to the construction of two analysis grids in order to the reading of the observed reality. Simultaneously, other inquiries by interview were improved, assessed and validated, as well as the observation grids, to be applied in the 3rd phase of the research project.
The reports were categorized by content analysis, followed the steps: 1 Pre-analysis: organization of material and systematization of ideas,2 analytical description: categorization of data and 3 referential interpretation: processing and interpretation of data. .
Among the various models of diagnostic reasoning in literature,we emphasize effective nursing diagnoses based on the collection and categorization of data, the identification of knowledge gaps, comparisons with standards of normality, the proposition of an etiological relationship and diagnostic inference in order to declare the title of nursing diagnosis that best defines the response of individuals to their health status.
Thematic content analysis was used. It consists of: pre-analysis organization of material and systematization of ideas;analytical description categorization of data in units and referential interpretation treatment of data and interpretation based on the literature.
For structuring of the data, an individual process of clinical judgment for the nursing diagnoses was performed, conducted in two phases: the analysis,which involved the categorization of data and the identification of gaps; and, a synthesis, which was formed by grouping, comparison, identification and relationship of the etiologic factors.
In the data analysis, we employed an individual process of critical judgment of the individual' answers based on NANDA International and Roy adaptation problems, which were verified in two phases:analysis categorization of data and identification of gaps and synthesis grouping, comparison, identification and list of etiological factors.
For a better categorization of the data, we have considered.
The fifth andfinal stage was about the categorization of the data so that one could reflect on the information obtained.
At the material exploration stage, the categorization of the data was performed from the exhaustive reading and saturation of that data in the statements.
In this qualitative research,we used semi-structured interviews that allowed the categorization of the data subsequently analyzed according to content analysis and approach of socio-historical psychology.
The process of diagnostic inference was undertaken by two researchers and took place in two stages:analysis categorization of the data and identification of the gaps and synthesis grouping, comparison, identification, and relating of the causative factors.
After selecting the articles,there was the categorization of the data, from the organization and summarizing of key information in relation to the theme, conservative treatment of PFF in the elderly.
Categorization of the data was based on record units and manifest content, which enabled identification, over the life of the study participant, of acts that connected and were interrelated.
The methodology was developed in four phases comprised of: construction of a theoretical reference; data collection in the capes theses database, bdtd, public domain portal,description and categorization of survey data utilizing automated tools the software programs vantage point and.
In the categorization of the data, sheets were used to facilitate the visualization of the semantic units; its reduction for the elaboration of the themes and the synthesis of the analysis categories listed in Chart 1 are discussed in the next section.