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A mixed methods design enabled us to use a qualitative approach in phase one to identify issues from the perspective of midwives and CFH nurses.
This study design enabled us to use the breadth of data from a large quantity of women to complement the greater depth of information from a smaller number of qualitative interviewees.
Also, mixing quantitative and qualitative data in a concurrent design enabled us to use the strengths of both quantitative and qualitative analysis techniques to elucidate the barriers to immunisation services and to enhance the quality of data interpretation [ 40].
The study design enabled us to complete the experiment by using inexpensive instrumentation and reagents.
Although the cross-sectional design enabled us to generate hypotheses and add to current evidence using a reasonably sized population, the findings of this cross-sectional study need to be confirmed by longitudinal studies.
Secondly, the use of a two by two factorial design enabled us to test the independent and the combined effect of two different methods to increase questionnaire response rates.
This design enabled us to test individuals from all treatments at the same time using a randomized block design.
The use of the strong quasi-experimental interrupted time series design enabled us to control for pre-existing levels and trends to detect any discontinuities in the outcomes studied at the point pay for performance was implemented.
This study design enabled us to compare the performance AU with that of the MU, which is used in the wards of our hospital today.
This design enabled us to separate lateralized activity related to target retrieval from distractor processing.
This design enabled us to isolate the accuracy of each upscaling method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com