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23 Cards in this Set

  • Front
  • Back

Qualitative Data

textual and visual


goal- to understand the analysis


ongoing and interactive


employs member checking


inductive in nature

quantitative Data

numerical


goal- to qualify magnitude of variables and relationships


guided entirely by the researcher

member checking

asking key informants to read the researcher's report to verify that the analysis is accurate

three step process of analysis

-data reduction


-data display


-conclusion drawing/verification

categorization

placing portions of transcripts into similar groups based on their content

Data Reduction

the categorization and coding of data that is part of the theory development process in qualitative data analysis

code sheet

lists the different themes or categories for a particular study



codes

labels or numbers that are used to track categories in a qualitative study

comparison

developing and refining theory and constructs by analyzing the diffrences and similarities in passages, themes, or types of participants

integration

moving from the identification of themes and categories to the development of theory

recursive

a relationship in which a variable can both cause and be caused by the same variable

selective coding

building a storyline around one core category or theme; the other categories will be related to or subsumed to this central overarching category

iteration

working through the data several times in order to modify early ideas

memoing

writing down thoughts as soon as possible after each interview, focus group, or site visit

negative case analysis

deli beratly looking for cases and instances that contradict the ideas and thoeries that reseachers have been developing

emic validity

affirms that key members within a culture or subculture agree with the findings of a research report

cross- research reliability

the degree of similarity in the coding of the same data by different researchers

credibility

the degree of rigor, believability, and trustworthiness established by qualitative research

triangulation

addressing the analysis from multiple perspectives

USING:


data collection and analysis


multi data sets


multi researchers


multi time periods


different kinds of relevant research informants

Triangulation

the technique most often associated with credibility in qualitative research

Threats to Drawing Credible Conclusions

- salience of first impressions or of observation of highly concrete or dramatic incidents


- selectivity which leads to overconfidence in some data


- co-occurrences taken as correlation even as causal relationship


- not taking in the fact that source may not be reliable

peer review

a process in which external qualitative methodologies or topic area specialists are asked to review the research analysis

verbatims

quotes from research participants that are used in research reports