Data collection is the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes. <> No identified mechanism to document changes in procedures that may evolve over the course of the investigation . <>/XObject<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/Annots[ 11 0 R] /MediaBox[ 0 0 720 540] /Contents 4 0 R/Group<>/Tabs/S>> <> endobj endobj Data Collection Methods Data collection is a process of collecting information from all the relevant sources to find answers to the research problem, test the hypothesis and evaluate the outcomes. 9 0 obj In most cases, data collection is the primary and most important step for research, irrespective of the field of research. Tutor's Association ID: 55870609, Join Grad Coach On: Facebook | Twitter | YouTube | LinkedIn, A Plain-Language Explanation & Definition (With Examples), If you’ve started working on your first piece of formal research – be it a, Research methodology simply refers to the practical “how” of any given piece of research. Both the selection of appropriate data collection instruments (existing, modified, or newly developed) and clearly delineated instructions for their correct use reduce the likelihood of errors occurring. �@ �*�-T�L�2^��#�?9�m�i����lݼqt,W���W5 �շ�����\7S�„ :u��],�S�Y����cw��r��d޼n�j��;mD�.�~��{�(t���;�վu�=�NT�j�䈬n����'��evb��i�S��7W��iPϟ��S�7��y1F�N�}.�f���(��[��TO� Hdi�j6���T�]�cX�NDh�~��N��{ˊj@I�(oL��t����_���D'�M_ɣfxO�eڌ� in nature. 11 0 obj More specifically, it’s about. Regardless of the field of study or preference for defining data (quantitative, qualitative), accurate data collection is essential to maintaining the integrity of research. Issues related to maintaining integrity of data collection: The primary rationale for preserving data integrity is to support the detection of errors in the data collection process, whether they are made intentionally (deliberate falsifications) or not (systematic or random errors). endobj These failures may be demonstrated in a number of ways: An important component of quality assurance is developing a rigorous and detailed recruitment and training plan. INTERVIEW. This phenomenon, known as ‘drift’, should be corrected with additional training, a provision that should be specified in the procedures manual. Implicit in training is the need to effectively communicate the value of accurate data collection to trainees (Knatterud, Rockhold, George, Barton, Davis, Fairweather, Honohan, Mowery, O'Neill, 1998). In addition, if the structure of communication is not clearly delineated in the procedures manual, transmission of any change in procedures to staff members can be compromised, Quality control also identifies the required responses, or ‘actions’ necessary to correct faulty data collection practices and also minimize future occurrences. 4 0 obj There are three commonly used qualitative data collection methods: ethnographic, theory grounded, and phenomenological. stream Journal of the American Dietetic Association, 103(10): 1339-1346. �� � } !1AQa"q2���#B��R��$3br� %PDF-1.5 chosen topic using primary research methods (interview and questionnaire). Quality assurance and quality control in longitudinal studies. In the Research Report, present, evaluate and interpret both qualitative and quantitative data. 8 0 obj ���Lg��6!+г�G6>&�za>�9�A��d%-�viڨ���fx <> Data Collection Techniques •Data collection techniques allow us to systematically collect information about our objects of study (people, objects, phenomena) and about the settings in which they occur. %���� $4�%�&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz�������������������������������������������������������������������������� ? correlation, regression, structural equation modelling), Again, the choice of which data collection method to use depends on your overall, As you’ve probably picked up by now, your, Designing your research and working out your methodology is a large topic, which we’ll cover in other posts.

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