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• The use of multiple, independent methods
of obtaining data in a single investigation
in order to arrive at the same research
findings
Triangulation
• Used later for the purpose of data
reporting
Role of
Quantification in
Qualitative
research
• Credibility
• Transferability
• Confirmability and dependability
Qualitative data
Gathering
Data
Ethnographies- to
describe and
interpret the cultural
/ communicative
behavior
Interviews-
associated with
survey-based
research
Journals- to write
about their language
learning experience
without constrains
Case studies- to
provide holistic
description of
language learning
Observational
techniques: provide
careful description
of learning activities
without
 Research questions tend to be general and
open ended
 Hypotheses many be generated as an
outcome of qualitative research
 Natural and holistic representation.
Observations- can
allow the study of a
behavior at close range
with many contextual
variables present
Common technique for data
collection in classroom
research
Problematic in classroom
research
-Informed consent
-Debriefing participants
and facilitators
-Ensuring Confidentiality
and Minimizing disruption
-data segmentation and
coding
-Considering the
instructional setting
 Select a recording format
 Considering whose voices and actions need to be
recorded
 Determine what kinds of microphones and other
equipment
 Supplement your primary recording method with a backup
 Consider the amount of intrusion in the classroom caused
by equipment and operators
 Take anonymity concerns seriously and act accordingly
 Plan the physical arrangement beforehand
 Consider the human factors
Uptake
Sheets
• Developed as a method of data collection
interested in learners‘ perceptions about what they
learned in language classes
Stimulated
Recall
• Provide the researcher with access to the learners´
interpretations of the events that were observed
and can be a valuable source of information
Diary
Research
• First person account of a language learning or
teaching experience, documented through regular
candid entries in personal journal
Coding Systems
Custom-made Coding
systems
-Question formation
-Negative feedback
-Classroom interaction
-Second language
Writing Instruction
- Task Planning
Common Coding
Systems and
Categories
-CHAT
-SOC
-T-units
Coding Qualitative
Data
The schemes for
qualitative coding
generally emerges
from the data rather
than being decided on
Calculating
Simple
percentage
agreement
Cohne´s
Kappa
Additional
Measures of
Reliability
Good practice
guidelines
How and
when to carry
it out
Coding Interval Data-
represent a rank
ordering, showing
distance between
pints in the ranking
Coding Ordinal Data-
usually coded in terms of
a ranking
Coding nominal
data- t data can be
coded depending on
whether the
research involves a
dichotomous
variable or a
variable with several
values
 Transcription Conventions- Vary depending
on the research goals
 Transcription machines- Make the process of
transcribing data significantly easier
 Technology and transcription- Technology is
also changing the process and product of
transcriptions
 Meta Analysis- at times it is necessary to
involve surveying a wide range of existing
studies rather than collecting data
 Effect size- Is a measure that gives and
indication of the strength of ones findings
 ETA2 and OMEGA2 – ETA2 goes beyond the
fact that there is a significant difference and
given us an indication of how much of the
variability is due to our independent variable.
 Omega2- is the statistic used when all groups
have an equal in size
 Strength of association- there are times
when we might want to determine how much
of the variation is actually due to the
independent variable in question
 Statistical Tables- provide a partial play of
the distribution
 Probability- provide confidence in the claims
that are being made about a data analysis
 Standard scores- the most common
standard c
Measures of central
tendency
Mode
The most frequent
score obtained by a
particular group a
learners
Median
It is the score at the
center of the
distribution
Mean
The most common
measure of central
tendency or
arithmetic average.
Outliers
These represent
data that seems to
be atypical of the
rest of the dataset.
Reporting
Reporting combined
Method (Quantitative and
Qualitative Research)
Included in a primarily
quantitative report,
qualitative data or
analytic techniques
may provide unique
insights that would
escape both the
researcher and the
reader if statistical
counts.
The final stages
in reporting
Reports can be more
varied in terms of
organization and in
terms of the specific
sections included.
Importance of
reporting research
Is to discover
answers to pertinent
questions
 Limitations, Future Research and Conclusion
Sections
 The Discussion- It is helpful to review the
organization of the final sections of some
sample articles from the field of SLA.
 Author´s note
 The abstract
 The literature review
 Post research concerns
 Final touches and formatting
 The design of the study
 References
 Logistics
 The research problem and questions
 Footnotes, Endnotes, Figures, and Tables
 The research Hypothesis
 The audience
 Participants
 Data analysis
 Conclusions
 Data Gathering

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English project design.g2.act2.1

  • 1.
  • 2.
  • 3. • The use of multiple, independent methods of obtaining data in a single investigation in order to arrive at the same research findings Triangulation • Used later for the purpose of data reporting Role of Quantification in Qualitative research • Credibility • Transferability • Confirmability and dependability Qualitative data
  • 4. Gathering Data Ethnographies- to describe and interpret the cultural / communicative behavior Interviews- associated with survey-based research Journals- to write about their language learning experience without constrains Case studies- to provide holistic description of language learning Observational techniques: provide careful description of learning activities without
  • 5.  Research questions tend to be general and open ended  Hypotheses many be generated as an outcome of qualitative research  Natural and holistic representation.
  • 6.
  • 7. Observations- can allow the study of a behavior at close range with many contextual variables present Common technique for data collection in classroom research Problematic in classroom research -Informed consent -Debriefing participants and facilitators -Ensuring Confidentiality and Minimizing disruption -data segmentation and coding -Considering the instructional setting
  • 8.  Select a recording format  Considering whose voices and actions need to be recorded  Determine what kinds of microphones and other equipment  Supplement your primary recording method with a backup  Consider the amount of intrusion in the classroom caused by equipment and operators  Take anonymity concerns seriously and act accordingly  Plan the physical arrangement beforehand  Consider the human factors
  • 9. Uptake Sheets • Developed as a method of data collection interested in learners‘ perceptions about what they learned in language classes Stimulated Recall • Provide the researcher with access to the learners´ interpretations of the events that were observed and can be a valuable source of information Diary Research • First person account of a language learning or teaching experience, documented through regular candid entries in personal journal
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  • 11. Coding Systems Custom-made Coding systems -Question formation -Negative feedback -Classroom interaction -Second language Writing Instruction - Task Planning Common Coding Systems and Categories -CHAT -SOC -T-units Coding Qualitative Data The schemes for qualitative coding generally emerges from the data rather than being decided on
  • 13. Coding Interval Data- represent a rank ordering, showing distance between pints in the ranking Coding Ordinal Data- usually coded in terms of a ranking Coding nominal data- t data can be coded depending on whether the research involves a dichotomous variable or a variable with several values
  • 14.  Transcription Conventions- Vary depending on the research goals  Transcription machines- Make the process of transcribing data significantly easier  Technology and transcription- Technology is also changing the process and product of transcriptions
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  • 16.  Meta Analysis- at times it is necessary to involve surveying a wide range of existing studies rather than collecting data  Effect size- Is a measure that gives and indication of the strength of ones findings  ETA2 and OMEGA2 – ETA2 goes beyond the fact that there is a significant difference and given us an indication of how much of the variability is due to our independent variable.  Omega2- is the statistic used when all groups have an equal in size
  • 17.  Strength of association- there are times when we might want to determine how much of the variation is actually due to the independent variable in question  Statistical Tables- provide a partial play of the distribution  Probability- provide confidence in the claims that are being made about a data analysis  Standard scores- the most common standard c
  • 18. Measures of central tendency Mode The most frequent score obtained by a particular group a learners Median It is the score at the center of the distribution Mean The most common measure of central tendency or arithmetic average. Outliers These represent data that seems to be atypical of the rest of the dataset.
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  • 20. Reporting Reporting combined Method (Quantitative and Qualitative Research) Included in a primarily quantitative report, qualitative data or analytic techniques may provide unique insights that would escape both the researcher and the reader if statistical counts. The final stages in reporting Reports can be more varied in terms of organization and in terms of the specific sections included. Importance of reporting research Is to discover answers to pertinent questions
  • 21.  Limitations, Future Research and Conclusion Sections  The Discussion- It is helpful to review the organization of the final sections of some sample articles from the field of SLA.
  • 22.  Author´s note  The abstract  The literature review  Post research concerns  Final touches and formatting  The design of the study  References  Logistics  The research problem and questions  Footnotes, Endnotes, Figures, and Tables  The research Hypothesis  The audience  Participants  Data analysis  Conclusions  Data Gathering