Zusammenfassung der Ressource
Analysing action research
- Introduction
- Creation of
data: yes
- Interpretation
of data: no
- The idea is achieve a
equilibrium
individual and
collective
professional
- This chapter shows how
Teachers should handle
the data collected
- This chapter presents
strategies and thechniques
to analysing data
- What is data analysing?
- Planning and
acting systematic
- Observing and
reflecting
- Statements are produced
based on patterns from
the data
- Describing:
What
- Show
- Explaning:
Why
- Explanations,
developing
more explicit
theories
about
practice
- Analysing data
Interpreting
Developing theories
- Informed applications
of classroom practice
into play
- It is a self reflective
process
- When should data
be analysed?
- Collecting data and
analysis process are
dynamic,fluid and integral.
- Reflexivity
- Interrelated and
recycle into each
other
- Collection,action
and analysis
- Data collection
give us
Hypotheses
- Data collecting,hypothesising,retesting
hypotheses,reinterpreting and acting.
- Time to collect data
depends on nature and
purpose of the research
- Those are techniques to data analysis:
identifying patterns,categories or themes and
making connections
- Processes of
analysis
- It occurs over
entire
investigation
- Data provides the
evidence for the
statements
- Stage 1.Assembling the
data. Rereading,compared
and contrasted
- Stage 2. Coding the
data. Identify
data
- Stage 3. Comparing
the data. Describe
and display the data
- Stage 4. Building interpretations. pose questions,rethink the
connections, develop explanations, and discussing data
patterns with the research group
- Stage 5. Reporting the outcomes major process of the
research, otcomes should be supported with examples
from the data.
- Validity and
action
research
- Criterion for evaluating
- Rigour and credibility
- Internal -External
- validity criteria
- Democratic
validity
- Outcome
validity
- Process
validity
- Catalytic
validity
- Dialogic validity