| Quantitative | Qualitative |
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Deductive ~ Testing theory |
Inductive ~ Generating theory |
| Experimental | Observational |
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'One-shot' ~ measure as much as possible |
Process-orientated ~ aim for richness |
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Large samples ~ Data in numbers |
Small samples ~ Data in words |
| Medical model | ? Midwifery model |
| 1. Formulate / define the research problem |
| 2. Review the literature |
| 3. Develop a theoretical framework |
| 4. Formulate a hypothesis |
| 5. Select a research design |
| 6. Specify the population |
| 7. Select methods to measure research variables |
| 8. Conduct a pilot study |
| 9. Select the sample |
| 10. Collect the data |
| 11. Prepare the data for analysis |
| 12. Analyse the data |
| 13. Interpret the results |
| 14. Communicate the findings |
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1. Formulate / define the research problem Does the question relate well to practice? Is the question relevant? Is it asked in an appropriate manner? Is other (previous) research relating to the area discussed? |
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2. Review the literature Was an appropriate literature search carried out? Is the literature cited up-to-date? Does the author give a fair evaluation of other people's findings? Are both sides of any argument presented? |
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3. Develop a theoretical framework Is the framework used appropriate to the study? Is it suggestive of the conclusions? Could it suggest bias? |
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4. Formulate a hypothesis Is the wording of this appropriate? Is it suggestive of bias? |
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5. Select a research design Does the design fit the question and aims of the research? Is it the design most likely to give the 'correct answer'? Are the pros and cons of this discussed? Is justification given for the use of the chosen design? |
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6. Specify the population Are the participants suitable? Who was not included in the research, and why? |
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7. Select methods to measure the research variables Are these methods appropriate? Would other measures be better? |
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8. Conduct a pilot study If a pilot study was used, were the results used to improve the design? |
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9. Select the sample How did the researchers decide who would be eligible for entry? Was a control group used and was randomisation used appropriately? Were the groups studied large enough to make a fair assessment of the effectiveness / side effects of whatever is being studied? Was double blinding used? (where neither the researcher or the participant knows which group a person is in) Did all participants give informed consent? |
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10. Collect the data Does the paper tell you how, when and where this was done? Do you feel this was carried out appropriately? Who collected data? (Some kinds of data may be more subjective and therefore more open to bias - eg results of vaginal examination.) |
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11. Prepare the data for analysis Does the paper explain how this was done? |
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12. Analyse the data Is the method of analysis explained and justified? Are reasons for using particular statistics or other tests given? Is the probability of getting the results by chance included? |
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13. Interpret the results Is this process intelligible and relevant? Are raw figures given as well as percentages? Are data given in graphs and tables explained? Could pictoral representations of data be misleading? Is the discussion of results appropriate and relevant? Are conclusions appropriate and does the research 'fit together' well? |
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14. Communicate the findings Is the research 'reader-friendly' and well-presented? Is there a logical progression to the paper? Are there any gaps? Is anything 'glossed over'? Are the limitations and areas of potential bias discussed honestly? |