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Diary studies can also be employed together with other research techniques within a mixed method framework and is particularly useful in obtaining rich subjective data. [4] For instance, experience sampling method (ESM) combines it with questionnaires to gather data and examine people's experiences in daily life. [5]
Longitudinal studies are time-consuming and expensive. [8] Longitudinal studies cannot avoid an attrition effect: that is, some subjects cannot continue to participate in the study for various reasons. Under longitudinal research methods, the reduction in the research sample will bias the remaining smaller sample. [citation needed]
Qualitative methods include ethnography, grounded theory, discourse analysis, and interpretative phenomenological analysis. [1] Qualitative research methods have been used in sociology, anthropology, political science, psychology, communication studies, social work, folklore, educational research, information science and software engineering ...
Repeated measures design is a research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [1] For instance, repeated measurements are collected in a longitudinal study in which change over time is assessed.
Rather than relying on predetermined formulas or statistical calculations, it involves a subjective and iterative judgment throughout the research process. In qualitative studies, researchers often adopt a subjective stance, making determinations as the study unfolds. Sample size determination in qualitative studies takes a different approach.
The ordinal scale places events in order, but there is no attempt to make the intervals of the scale equal in terms of some rule. Rank orders represent ordinal scales and are frequently used in research relating to qualitative phenomena. A student's rank in his graduation class involves the use of an ordinal scale.
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Certain disadvantages may be associated with this sampling method. It is a highly systematic method due to which application of theoretical sampling requires more resources like time and money as compared to other sampling methods. [8] It is a very complicated method and not easy to understand.