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DATA ANALYSIS AND INTERPRETATION: DEFINITION AND PURPOSE, ENSURING…
DATA ANALYSIS AND INTERPRETATION: DEFINITION AND PURPOSE
ANALYZING AND INTERPRETING DATA
STEPS IN ANALYZING QUALITATIVE RESEARCH DATA
Qualitative data analysis is a cyclical
One approach to analysis is to
follow three iterative steps:
Reading/memoing
Describing
Classifying
Reading/memoing is the process of
writing notes in the field
Describing involves developing thorough
and comprehensive descriptions of the
participants
Classifying small pieces of data into more
general categories
To make sense and find connections
among the data
DATA ANALYSIS STRATEGIES
Identifying themes
Strategy that relies on
the identification of ideas
Asking key questions
Many computer programs are available to
aid in analyzing qualitative data
Concept mapping allows the qualitative
researcher
Analyzing antecedents and consequences
Coding is the process of marking units of
text with codes or labels
It involves the
reduction of narrative data
An organizational review helps the researcher
understand
Displaying findings involves
matrixes
charts
concept maps
graphs
DATA INTERPRETATION STRATEGIES
Data interpretation
Based on: Connections, common aspects, and
linkages
The aim of interpretation is to answer four
questions:
Why is important?
What is learned?
What is learned?
So what?
The analysis is a data interpretation
strategy
The researcher personalize
interpretations based on intimate knowledge.
Connecting findings with personal experience
encourages
Seeking the advice involves
inviting trusted colleagues to offer insights
Turning to theory encourages researchers to
link their findings
Share
your interpretations wisely
Involves
summarizing data dependably and accurately
Data interpretation is an attempt
To find meaning in the data
Data analysis occurs before
data collection is complete
Is your research question still answerable
and worth answering?
Is important to avoid premature actions
based on early analysis
The researcher must organize, categorize,
synthesize, analyze, and write about the
data.
ENSURING CREDIBILITY IN YOUR STUDY
To check the credibility
Are the data based on one’s own observation or on hearsay?
Are observations corroborated by others?
In what circumstances was an observation
made or reported?
How reliable are those providing the data?
What motivations may have influenced a
participant’s report?
What bases may have influenced how an
observation was made or reported?