Sampling in mixed research

SAMPLING IN MIXED RESEARCH

Mixed methods sampling requires an understanding and acknowledge of the sampling strategies that occur in QUAN AND QUAL research. Probability sampling techniques are used most often QUAN research to obtain a sample that most accurately represent the entire population .Although convenience sampling is sometimes used QUAL AND QUAN research. It includes samples that are most available to the researcher. This way not be representative of the population being studied and may yield biased data. Because techniques for mixed methods include choosing participants for a study using both probability and purposive sampling, a comparison of purposive and probability sampling.

Definition

[1]Where a sample plan envisages the use of two or more basic methods of sampling it is termed mixed sampling. For example, in a multistage sample, if the sampling units at one stage are drawn at random and those at another by a systematic method, the whole process is “mixed”.

Types of sampling in mixed research

In this situation, the mixed method researcher can select one of five random (i.e., probability) sampling schemes at one or more stages of the research process.

Simple random sampling.

Stratified random sampling.

Systematic random sampling.

Multi-stage random sampling.

Role of sampling in mixed research[2]

The purpose of this article is to emphasize the importance of sampling in all mixed methods research studies. Effective meaning making in mixed methods research studies is very much dependent on the quality of inferences that emerge, which, in turn, is dependent on the quality of the underlying sampling design. Further, these inferences are only of a quality nature if interpretive consistency occurs, which represents the justifiableness of the type of generalization made, given the sampling design. In an earlier work, we identified six sampling-based considerations that all mixed methods researchers should make at the four broad stages (i. e., research conceptualization, research planning, research implementation, and research dissemination stages) of the mixed methods research process: emtic orientation, probabilistic orientation, abductive orientation, intrinsic versus instrumental orientation, particularistic versus universalistic orientation, and philosophical clarity. Building on this six-element framework, we outline how focusing on sampling considerations at the four stages of the mixed methods research process, which includes the dissemination stage of reporting the mixed methods research findings to stakeholders, enhances significantly the process of meaning making. We believe that addressing these sampling considerations at each of these stages will increase the likelihood that the mixed methods researcher will uphold interpretive consistency.

Table 1.

Advantages and Disadvantages

Advantage	Disadvantage
The analysis of quantitative data and qualitative The collection of both open and closed ended data in response to research question.	It takes much more time and resources to plan and this type of research this time consuming activity.
	Planning and implementing method one beyond drawing   on the finding   of another always prove to be difficult.

‘ Reference

d‘Definition of Sampling in Mixed Research - Google Search’. Accessed 20 August 2019. https://www.google.com/search?q=definition+of+sampling+in+mixed+research&oq=de&aqs=chrome.0.69i59j69i57j69i59j0l2j69i60.9388j0j8&sourceid=chrome&ie=UTF-8.

Onwuegbuzie, Anthony J., and Kathleen M. T. Collins. ‘The Role of Sampling in Mixed Methods-Research’. KZfSS Kölner Zeitschrift Für Soziologie Und Sozialpsychologie 69, no. 2 (1 October 2017): 133–56. https://doi.org/10.1007/s11577-017-0455-0.

             

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