Title: The Joys of Critiquing Quantitative and Qualitative Research
1The Joys of Critiquing Quantitative and
Qualitative Research
2The questions
- Is the research worth putting into practice?
- How do you know how good the research is?
- Did the researcher ask the right questions and
use the right techniques? - These are three main questions to be asked of a
piece of published or unpublished research - (Tidy, 2000)
3Principles of Critiquing
- Research critique critical appraisal critical
evaluation inter-changeable - At its most basic critiquing is making a value
judgement on what is reported (Parahoo 1998) - Particular attention is paid to..Aim of the
research, methodology and findings - An unbiased and non-prejudiced consideration of
these areas
4- Critiquing is not only about description of
research but also judgement - The quality of the research is closely tied to
the kinds of decisions the researcher makes in
conceptualizing, designing, and executing the
study and in interpreting and communicating the
study results (Polit and Hungler 1995) - Why is this a crucial insight into the skill of
critiquing?
5- It is not uncommon for researchers who make
different research decisions to arrive at
different answers to the same question - Any examples?
- Therefore as a research consumer you must ask
some questions - What decisions did the researcher make?
- Because of them - can I trust the process?
- Why? What other approaches could have been used?
Would they have yielded more trustworthy results?
6- Have the decisions which the researcher has taken
any impact upon the ability of the study to
reveal the truth? - To critique properly, two things are required
-
- 1. A set of structured criteria
- 2. Skill
7- Structured Criteria
- Title of the article
- Abstract
- Literature review
- Methodology
- Results
- Discussion and interpretation
- Recommendations
8- Allied to this consider these recommendations
- 1.Be sure to comment on the studys strengths as
well as its weaknesses. Be balanced. - 2. Avoid vague generalisations..be specific
- 3. Justify your criticism..why should things have
been different? - 4. Be objective - dont be overly critical, e.g.
if you dont like the topic or methodology
9- 5. Dont patronise, be sarcastic or be
condescending. Be constructive..you might be a
researcher someday! - 6. Practically, how might the researcher improve
upon what has been done? - 7. Evaluate all aspects of the study - substance,
method, interpretation, ethics and presentation - (Polit and Hungler 1995)
10Consider the following questionsWho did what to
whom?Why and how and when did they do it?What
was the background to the study?What did they
find?Was it morally and ethically sound?
11Title of the article
- Here there is not really a right or wrong title -
just a misleading or confusing one. (Parahoo
1998) - So what should we look for..
- Clarity
- Accuracy
- Elegance
- Precision - phenomena under investigation and the
population to which it refers
12Abstract
- Be fair - dont expect the article in miniature
- Do expect
- Short summary
- The aim of the study
- The design (inc. methods, sample and sampling)
- The main findings
13Literature Review
- Polit and Hunglers 9 point Guidelines
- (1995, p579)
- 1. Does the review seem thorough? All or most of
the major studies on the subject? Recent
literature? - 2. Overdependence on secondary sources when
primary sources could have been obtained?
14- 3. Overreliance on opinion articles and
underreliance on research studies? - 4. Does the content of the review relate directly
to the research problem or is it only
peripherally related? - 5. Is the review merely a summary of past work or
does it critically appraise and compare the
contributions of key studies? Does it discuss
weaknesses in existing studies and gaps in the
literature? - 6. Does the review paraphrase adequately, or is
it a string of quotations from the original
sources?
15- 7. Does the review use appropriate language? Is
it objective? - 8. Is the review well organized? Is the
development of ideas clear? Does it lay the
foundation for undertaking the study? - 9. Does the review conclude with a brief synopsis
of the state-of-the-art of the literature on the
topic? - Marleys 1 point guideline
- 1. Is it elegant?
16Methodology
- We first need to determine if the study is
quantitative, qualitative or a mixture of both - To be covered later in the session
17Clear Questions, Objectives or Hypotheses?
Adequate Operational Definitions?
Most appropriate design for phenomena?
Methodology
If borrowed, has it been modified?
Reliability/Validity now?
Was the instrument borrowed?
How was the data collected? Are the tools valid
reliable?
18Validity and reliability
- Validity - does the measure accurately reflect
the the concept it was intended to measure eg
time in library IQ - Relative validity is based on face, criterion,
content, construct, internal, and external
validity - Reliability - the same data would be collected
each time in repeated observations of the same
measure - stability of measure
19Research design
- The approach should be explained
- Theoretical or conceptual frameworks explained
- Aims and objectives clear and consistent with the
purpose of research - Design linked to research questions/aims/objective
s or hypothesis - Pilot should be conducted to test feasibility of
instruments
20Data analysis
- Methods of analysis explained and appropriate for
type of data - Appropriate statistical tests used and correctly
performed - Tables/graphs labelled and understandable
- Does qualitative data identify themes with
narratives supporting emergent themes - How was data validated, no evidence of bias
21Has the researcher clearly described their
intent?
Exactly how will the data be collected?
- Sampling Method
- Who was selected?
- From what type
- of population?
- Response rates?
- Transferability
- Dependability
- Confirmability
Steps to ensure rigor?
Qualitative Data
What influence does the researcher have on the
interaction?
22Ethical considerations
- Worthwhile aims justifiable research
- Appropriate design
- No coercion/inducements of subjects
- Confidentiality protected
- Informed consent, right to withdraw
- Risks and discomforts acceptable
23Results
- Beware, researchers are often selective in the
results they publish - Refer back to the research questions or
hypotheses stated at the start. Are these
specifically addressed here? - Do tables and data presentation make sense or are
they there to flatter to confuse? - Are statistics consistent, meaningful and correct?
24- Often expressed numerically
- NNT number needed to treat e.g. have to treat
1,000 people to achieve one cure would you
consider treatment depends on context - OR odds ratio
- Confidence interval, a statement of how confident
we are a result lies between 2 points 95 usually
acceptable
25- For Qualitative data,
- What efforts have been made to promote rigor,
authenticity and objectivity in data analysis? - e.g Giving transcripts back to the subjects or
asking other researchers/experts in field to read
them. Declaring bias, availability of running
record of procedures, preservation of data . - For more specific information refer to Polit and
Hungler (1995) pages 585, 586
26Discussion and Interpretation
- Presentation of results without later
explanation or interpretation is not only
worthless, but also incompetent and perhaps even
deceitful. - Again refer back to the research questions or
hypotheses..is there an intimate link? - Is the discussion balanced or selective, perhaps
to show up positive aspects of the study? - Are limitations acknowledged?
27- If new treatments are suggested is there any
discussion re other issuesit may be quicker and
cheaper but it is also more painful etc. - Are the new findings linked with others in the
general pool from which the study comes? - Is the discussion systematic, are there any gaps?
- Is the authors view of the data defensible?
- Do you agree with the author?
- Why?
28Recommendations
- Again, is there consistency or are the
recommendations divorced from the rest of the
study? - Are recommendations for practice, education,
policy and management appropriate in relation to
limitations
29The Quantitative - Qualitative Debate
30Traditionally
- Quantitative
- Quantity
- Numbers
- Qualitative
- Quality
- Description
- Such a view is unhelpful and too simplistic
- Allied to this, terms used in the research
process - when speaking about these two areas often only
- confuse and dishearten
31Quantitative methods
- Typically involves selection of samples,
allocation to groups, introduction of planned
changes, measurement of variables, control of
variables and possible hypotheses testing or
quasi-experimentation which involves selection of
natural groups e.g. a school class - Uses quantitative analysis - the numerical
representation and manipulation of observations
for the purpose of describing and explaining the
phenomena that those observations reflect
32- This approach is in contrast with Qualitative
research. - Common assumptions here are that phenomena are
studied from the perspective of the respondent
and in the natural setting. - Inherent in many qualitative approaches,
especially from nurse phenomenologists is the
suggestion thatphenomena cannot be studied
objectively and that qualitative research offers
a more complete description of the phenomena than
does the objective observation of its signs and
symptoms. -
33Horses for courses
- The methods employed must be appropriate for the
questions to be answered - Ethical and practical considerations e.g. child
rearing practices, could you experiment e.g.
withhold privileges v physical punishment
34Methods of data collection
- Selecting methods is not a value free decision.
- Why?
- Choices reflect the beliefs of the researcher
about the phenomena under investigation and the
most effective way of getting at its truth
35What do the following methods say about phenomena?
- Questionnaires
- Observation schedules
- Rating scales
- Structured interviews
- Un-structured interviews
- Experiments
So when you read research try to look very
closely at the methodology to determine what the
researcher views the phenomena to be and to
determine the research paradigm from which the
study comes
36Techniques of data analysis
ANALYSIS
- Descriptive Statistics
- Inferential Statistics
- Probability
- Chance
- Degrees
- Making sense
- Finding structure
- Themes
- Categories
- Interpretation
37Common Statistical Tests
38- Descriptive Statistics
- Frequency
- Central tendency
- Dispersion
39- Inferential Statistics
- Here the desire is to generalise the findings
from samples into equivalent populations..thats
all there is to it! - ANOVA
- T-tests
- Correlations
- Chi-square
-
40Questions to ask after reading a research report
- Are you sure the results are valid and reliable?
- Are there other studies which support or
contradict the findings? - Have you looked at relevant research conducted
since the report you have been reading was
completed?
41- How practical will it be to implement findings
locally? - Costs/benefits - hidden costs too e.g. training,
staff anxiety, timeliness - Why should there be a change will it improve
patient care or service delivery? - May involve audit of existing practice and pilot
of new practice
42It is very important that you are able to
separate the wheat from the chaff even if you
never grow wheat on your own