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(CHAPTER 14) RESEARCH METHODOLOGY - Coggle Diagram
(CHAPTER 14)
RESEARCH METHODOLOGY
QUALITATIVE METHODOLOGY
Data collection
reality is not easily divided into discrete, measurable variables.
the bulk of data collection is dependent on their personal involvement in the setting
Data analysis
use inductive reasoning to make specific observations, draw inferences about larger and more general phenomena
Process
more holistic and emergent
Reporting findings
construct interpretive narratives from their data and try to capture the complexity of the phenomena under study
Purpose
a better understanding of complex situations. often exploratory in nature and they may used their observation to build theory from natural settings
Weaknesses
low responses rates
intuitive
more complicated
unmanageable
more expensive
closed questions tend to force answers into limited catagories
slower
Strengths
deep understanding
greater scope for prediction
results more detailed
margin or error can be calculated
provide facts
greater accuracy
identifying specific responses
QUANTITATIVE METHODOLOGY
Elements
Data collection
identify variables that you want to study and collect data that are related to those variables
Data analysis
researcher derived from a deductive approach (based on hypotheses)
Process
researcher represents particular mainstreams that are ideas or phenomena in related literature
Reporting findings
Data should be presented via graphic techniques (frequency tables), means, medians, correlations and other summarizing statistics.
Purpose
study a crucial phenomenon and these findings can be generalized to other persons/ places
Strengths
simple
offers useful overview
cheap
helpful as prelude to qualitative
Relatively quick
Weaknesses
statistical accuracy can be reduced
greater chance of bias through difficult interpretation of results
higher levels of interpretation skill
not in-depth explanation
subjectivity
Differences
Qualitative
imperative induction
explanation
specified set of concepts
building theories and concepts
looks through wide lens
descriptive analysis
begins with general concepts
Quantitative
analytical induction
generalisation
specified set of variables
inferences based on statistical tests
looks through narrow lens
statistical analysis
begins with framing hypotheses