Triangulation design validating quantitative data model

26-Jun-2017 22:49 by 2 Comments

Triangulation design validating quantitative data model - carbon dating journals

One answer is to consider a mixed methods approach as your design, combining both qualitative and quantitative research data, techniques and methods within a single research framework.

If possible the use of an already designed and validated survey instrument will ensure that the data being collected is accurate.

Other considerations when developing a survey instrument include: question sequence, layout and appearance, length, language, and an introduction and cover letter.

Sensitive questions should be placed near the end of a survey rather than at the beginning.

’ Both methods have their strengths and weaknesses.

Qualitative approaches are good for further exploring the effects and unintended consequences of a program.

Qualitative approaches aim to address the ‘how’ and ‘why’ of a program and tend to use unstructured methods of data collection to fully explore the topic.

Qualitative questions are open-ended such as ‘why do participants enjoy the program?If you design your own survey it is necessary to pilot test the survey on a sample of your target group to ensure that the survey instrument is measuring what it intends to measure and is appropriate for the target group.Questions within the survey can be asked in several ways and include: closed questions, open-ended and scaled questions, and multiple choice questions.Surveys can be administered electronically, by telephone, by mail or face to face.Mail and electronically administered surveys have a wide reach, are relatively cheap to administer, information is standardised and privacy can be maintained.’ and ‘How does the program help increase self esteem for participants? Qualitative methods include focus groups, group discussions and interviews.