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QUANTITATIVE
METH OD S
Eda Nur ÖZCAN
WHAT HAVE WE DISCUSSED SO FAR?
METHODS
THE
QUESTIONS
AND
HYPOTHESES
THE
LITERATURE
REVIEW
THE PURPOSE
INTRODUCTION
POSTPOSITIVIST
PHILOSOPHICAL
ASSUMPTIONS
• The Determinist View and Its
Characteristics
• ”the relationships between
and among variables is
central to answering
research Qs and
hypotheses” (Creswell,
2014, p. 200).
WHAT ARE THE MAIN
CHARACTERISTICS OF QUANTITATIVE
METHODS?
• Highly controlled variables
• Statistical analysis
• Testing a theory/hypothesis
• Objective data
• Validity and realibility of the instruments
OUR FOCUS:
THE ESSENTIAL COMPOTENTS OF A
METHOD SECTION FOR A SURVEY AND
EXPERIMENT
HOW
WOULD YOU
DEFINE A
SURVEY?
A SURVEY
A method of gathering
information from a sample
of individuals (Scheuren,
2004).
According to Creswell
(2014), the design provides
numeric description of
trends, attitudes or opinions
of a population.
AN EXPERIMENT
To test the impact of a
treatment on an outcome
while controlling all other
factors that might affect the
outcome (Creswell, 2014).
A COMMON CONFUSION BECAUSE OF
INTERCHANGEBLY USAGE OF WORDS
• A questionnaire is one-purpose
data collection through a set of
questions
• A survey is data collection through
a set of questions for the purposes
of statistical analysis
WHY ARE
WE
CONFUSED
?
This Photo by Unknown Author is licensed under CC BY-NC
A SURVEY
QUESTIONNARIE…
A SURVEY DESIGN
• Begin your method section,
• By discussing the purpose of a survey and rationale for its selection
The purpose is generally to generalize the results
and provide a reference to this purpose.
For the rationale, consider the advantages of using a
survey design; its being economic, rapid
turnaround…
The form of data collection, mail, telephone, the
Internet…
(Creswell, 2014)
THE
POPULATIO
N AND
SAMPLE
4 Identify whether the study involves
stratification
3 Identify the selection process;
probabality or nonprobability sampling
2 Identify whether the sampling design is
single stage or multistage/clustering
1 Identify the population, the size of this
population
PROBABILITY
SAMPLING
• Probability samples are
the gold standard in
sampling methodology
and also, for ensuring
generalizability of the
study results to the
target population.
(Acharya, et al., 201
1. Simple random sampling
2. Systematic random sampling
3. Stratified random sampling
4. Cluster sampling
5. Multiphase sampling
6. Multistage sampling
CLUSTER SAMPLING
Cluster sampling is very useful
when the population is widely
scattered, and it is impractical to
sample and select a
representative sample of all the
elements (Acharya, et al., 2013)
DOUBLE-STAGE AND
MULTI-STAGE CLUSTER
SAMPLING
You can then collect data
from each of these individual
units – this is known
as double-stage sampling.
You can also continue this
procedure, taking
progressively smaller and
smaller random samples,
which is usually called multi-
stage sampling.
NON-
PROBABLITY
SAMPLING
• Non-probability samples are
those in which the
probability that a subject
is selected is unknown
and results in selection
bias in the study.
1. Convenience/Purposive
sampling
2. Quota Sampling
3. Snowball Sampling
(Acharya, et al., 2013)
DISCUSSING THE SAMPLING
TECHNIQUES
1. P R O B AB L I T Y O R N O N - P R O B AB L I T Y S AM P L I N G ?
2 . N AM E T H E S AM P L I N G T E C H N I Q U E
3 . H O W C AN W E T U R N T H I S C AS E I N TO
S Y S T E M AT I C S AM P L I N G ?
• Let us say there are 200 participants in a
conference, and we would like to select 50
participants by simple random sampling. The
list of all the 200 participants would be
available which constitutes the sampling
frame. The 50 participants can now be
selected by either using random number
table or by lottery method. Once a
participant has been selected, that number is
struck off from the random number table. This
method is known as sampling without
replacement. In this way 50 participants are
selected.
HOW WOULD
YOU NAME
THE
SAMPLING
TECHNIQUE
?
• In a study on a sample engaging in
high- risk behaviour or substance
abuse, a person who is engaging
in a high-risk behaviour may
name other persons involved in
similar high-risk behaviour
practices, and this continues further
till adequate number of respondents
are completed.
CRESWELL
(2014)
SUGGESTS
RANDOM
SAMPLING
(Fowler, 2009, p. 49)
INSTRUMENTATION
• Name the survey instrument used to
collect data
• Discuss if it is designed, modified or
intact instrument
• To use an existing instrument,
describe the validity scores
WHAT ARE
THREE
FORMS OF
VALIDITY?
Content validity
Predictive or
Concurrent validity
Construct validity
VALIDITY IN
QUANTITATIVE RESEARCH
• Construct validity is an overriding
objective in validity
• Establishing the validity of scores
in a survey helps to identify
whether an instrument might be
good one to use in survey
research.
INSTRUMENTATION
• Mention whether past use of intrument demostrate reliability
• Look for whether authors report measures of internal consistency
and test-retest correlations
• Also determine whether there was consistency in test
administration and scoring
• When one modifies an instrument or combines instruments in
a study, the original validity and reliability may not hold for the
new instrument!
INSTRUMENTATION
• Include sample items from the instrument so that readers can see
the actual items used (you can do this in an appendix)
• Mention type of scales (Continuous or categorical scales)
• Discuss plans for pilot testing (include the number of people)
• Indicate the major content sections in the instrument
• The cover letter
• The items (demograhics, attitudinal, behavioral, factual items)
• Closing instructions
VARIABLES
IN THE
STUDY
• IT IS IMPORTANT THAT YOU RELATE
VARIABLES TO THE SPECIFIC
RESEARCH QUESTIONS OR
HYPOTHESES ON THE INSTRUMENT
DATA ANALYSIS
AND
INTERPRETATION
Report information
about the number
of members of the
sample who did
and did not return
the survey
Discuss the
method by which
response bias
will be
determined.
WHAT IS RESPONSE BIAS?
THE EFFECT OF NONRESPONSES ON
SURVEY ESTIMATES
• https://chattermill.com/blog/response-bias/
9+ Tips for Identifying and Avoiding Response Bias in Surveys
Wave analysis can be an option.
DATA ANALYSIS AND INTERPRETATION
• Provide a descriptive analysis of data for all independent and
dependent variables.
• Means
• Standard deviation
• Range of scores for variables
Some research can be limited stops here 
DATA ANALYSIS AND INTERPRETATION
• If you proceed beyond descriptive approaches, identify the
statistical procedure (factor analysis, cronbach alpha statistic etc.)
• Identify the statistics and the statistical computer program for the
major inferential questions.
• Choose the specific statistical procedure based on your research
question.
• As the final step, present the results in tables or figures.
ARTICLES
REFERENCES
• Acharya, A. S., Prakash, A., Saxena, P., & Nigam, A. (2013). Sampling: Why and
how of it. Indian Journal of Medical Specialties, 4(2), 330-333.
• Creswell, J. (2014). Research Design: Qualitative, Quantitative, and mixed methods
approaches. 4th Edition. Sage Publications: CA
• Scheuren, F. (2004, June). What is a Survey?. Alexandria: American Statistical
Association.
• Doğan, G., & Mirici, İ. H. (2017). EFL instructors' perception and practices on learner
autonomy in some Turkish universities. Journal of Language and Linguistic
Studies, 13(1), 166-193.
• Önalan, O. (2005). EFL teachers' perceptions of the place of Culture in ELT: A survey
study at four univiersities in Ankara/Turkey. Journal of Language and Linguistic
Studies, 1(2).
• Basaran, S., & Cabaroglu, N. (2014). Language Learning Podcasts and Learners'
Belief Change. TESL-EJ, 17(4), n4.

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Survey design

  • 2. WHAT HAVE WE DISCUSSED SO FAR? METHODS THE QUESTIONS AND HYPOTHESES THE LITERATURE REVIEW THE PURPOSE INTRODUCTION
  • 3. POSTPOSITIVIST PHILOSOPHICAL ASSUMPTIONS • The Determinist View and Its Characteristics • ”the relationships between and among variables is central to answering research Qs and hypotheses” (Creswell, 2014, p. 200).
  • 4. WHAT ARE THE MAIN CHARACTERISTICS OF QUANTITATIVE METHODS? • Highly controlled variables • Statistical analysis • Testing a theory/hypothesis • Objective data • Validity and realibility of the instruments
  • 5. OUR FOCUS: THE ESSENTIAL COMPOTENTS OF A METHOD SECTION FOR A SURVEY AND EXPERIMENT
  • 7. A SURVEY A method of gathering information from a sample of individuals (Scheuren, 2004). According to Creswell (2014), the design provides numeric description of trends, attitudes or opinions of a population.
  • 8. AN EXPERIMENT To test the impact of a treatment on an outcome while controlling all other factors that might affect the outcome (Creswell, 2014).
  • 9. A COMMON CONFUSION BECAUSE OF INTERCHANGEBLY USAGE OF WORDS • A questionnaire is one-purpose data collection through a set of questions • A survey is data collection through a set of questions for the purposes of statistical analysis
  • 10. WHY ARE WE CONFUSED ? This Photo by Unknown Author is licensed under CC BY-NC A SURVEY QUESTIONNARIE…
  • 11.
  • 12. A SURVEY DESIGN • Begin your method section, • By discussing the purpose of a survey and rationale for its selection The purpose is generally to generalize the results and provide a reference to this purpose. For the rationale, consider the advantages of using a survey design; its being economic, rapid turnaround… The form of data collection, mail, telephone, the Internet… (Creswell, 2014)
  • 13. THE POPULATIO N AND SAMPLE 4 Identify whether the study involves stratification 3 Identify the selection process; probabality or nonprobability sampling 2 Identify whether the sampling design is single stage or multistage/clustering 1 Identify the population, the size of this population
  • 14. PROBABILITY SAMPLING • Probability samples are the gold standard in sampling methodology and also, for ensuring generalizability of the study results to the target population. (Acharya, et al., 201 1. Simple random sampling 2. Systematic random sampling 3. Stratified random sampling 4. Cluster sampling 5. Multiphase sampling 6. Multistage sampling
  • 15. CLUSTER SAMPLING Cluster sampling is very useful when the population is widely scattered, and it is impractical to sample and select a representative sample of all the elements (Acharya, et al., 2013)
  • 16. DOUBLE-STAGE AND MULTI-STAGE CLUSTER SAMPLING You can then collect data from each of these individual units – this is known as double-stage sampling. You can also continue this procedure, taking progressively smaller and smaller random samples, which is usually called multi- stage sampling.
  • 17. NON- PROBABLITY SAMPLING • Non-probability samples are those in which the probability that a subject is selected is unknown and results in selection bias in the study. 1. Convenience/Purposive sampling 2. Quota Sampling 3. Snowball Sampling (Acharya, et al., 2013)
  • 19. 1. P R O B AB L I T Y O R N O N - P R O B AB L I T Y S AM P L I N G ? 2 . N AM E T H E S AM P L I N G T E C H N I Q U E 3 . H O W C AN W E T U R N T H I S C AS E I N TO S Y S T E M AT I C S AM P L I N G ? • Let us say there are 200 participants in a conference, and we would like to select 50 participants by simple random sampling. The list of all the 200 participants would be available which constitutes the sampling frame. The 50 participants can now be selected by either using random number table or by lottery method. Once a participant has been selected, that number is struck off from the random number table. This method is known as sampling without replacement. In this way 50 participants are selected.
  • 20. HOW WOULD YOU NAME THE SAMPLING TECHNIQUE ? • In a study on a sample engaging in high- risk behaviour or substance abuse, a person who is engaging in a high-risk behaviour may name other persons involved in similar high-risk behaviour practices, and this continues further till adequate number of respondents are completed.
  • 23. INSTRUMENTATION • Name the survey instrument used to collect data • Discuss if it is designed, modified or intact instrument • To use an existing instrument, describe the validity scores
  • 24. WHAT ARE THREE FORMS OF VALIDITY? Content validity Predictive or Concurrent validity Construct validity
  • 25. VALIDITY IN QUANTITATIVE RESEARCH • Construct validity is an overriding objective in validity • Establishing the validity of scores in a survey helps to identify whether an instrument might be good one to use in survey research.
  • 26. INSTRUMENTATION • Mention whether past use of intrument demostrate reliability • Look for whether authors report measures of internal consistency and test-retest correlations • Also determine whether there was consistency in test administration and scoring • When one modifies an instrument or combines instruments in a study, the original validity and reliability may not hold for the new instrument!
  • 27. INSTRUMENTATION • Include sample items from the instrument so that readers can see the actual items used (you can do this in an appendix) • Mention type of scales (Continuous or categorical scales) • Discuss plans for pilot testing (include the number of people) • Indicate the major content sections in the instrument • The cover letter • The items (demograhics, attitudinal, behavioral, factual items) • Closing instructions
  • 28. VARIABLES IN THE STUDY • IT IS IMPORTANT THAT YOU RELATE VARIABLES TO THE SPECIFIC RESEARCH QUESTIONS OR HYPOTHESES ON THE INSTRUMENT
  • 29. DATA ANALYSIS AND INTERPRETATION Report information about the number of members of the sample who did and did not return the survey Discuss the method by which response bias will be determined.
  • 31. THE EFFECT OF NONRESPONSES ON SURVEY ESTIMATES • https://chattermill.com/blog/response-bias/ 9+ Tips for Identifying and Avoiding Response Bias in Surveys Wave analysis can be an option.
  • 32. DATA ANALYSIS AND INTERPRETATION • Provide a descriptive analysis of data for all independent and dependent variables. • Means • Standard deviation • Range of scores for variables Some research can be limited stops here 
  • 33. DATA ANALYSIS AND INTERPRETATION • If you proceed beyond descriptive approaches, identify the statistical procedure (factor analysis, cronbach alpha statistic etc.) • Identify the statistics and the statistical computer program for the major inferential questions. • Choose the specific statistical procedure based on your research question. • As the final step, present the results in tables or figures.
  • 34.
  • 36. REFERENCES • Acharya, A. S., Prakash, A., Saxena, P., & Nigam, A. (2013). Sampling: Why and how of it. Indian Journal of Medical Specialties, 4(2), 330-333. • Creswell, J. (2014). Research Design: Qualitative, Quantitative, and mixed methods approaches. 4th Edition. Sage Publications: CA • Scheuren, F. (2004, June). What is a Survey?. Alexandria: American Statistical Association. • Doğan, G., & Mirici, İ. H. (2017). EFL instructors' perception and practices on learner autonomy in some Turkish universities. Journal of Language and Linguistic Studies, 13(1), 166-193. • Önalan, O. (2005). EFL teachers' perceptions of the place of Culture in ELT: A survey study at four univiersities in Ankara/Turkey. Journal of Language and Linguistic Studies, 1(2). • Basaran, S., & Cabaroglu, N. (2014). Language Learning Podcasts and Learners' Belief Change. TESL-EJ, 17(4), n4.