Proposed Research Design and Methodology

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Proposed Research Design and Methodology

Research Worldview

Is it post-positivism, or constructivism, or advocacy, or pragmatism (Creswell, 2014; Bisel & Adame, 2017). The chosen worldview must be explained, and the reason for choosing it must be carefully articulated.

Research Design

A research design that is aligned to the chosen worldview is given (Creswell, 2014 (Bornstein, 2017)). The chosen design is explained, and the reason for the choice given.

Table 1: Table explaining the relationship between research worldview, design, strategy, method of data collection and analysis.

Research Worldview

Research Design

Research Strategy

Method of Data Collection

Method of Data Analysis

Post-positivism

Quantitative

Experiment and/or Survey

Close-ended questionnaire or observed experiment

Descriptive and Inferential Analyses

Constructivism

Qualitative

Grounded Theory, Case Study, Ethnography, Phenomenology, Hermeneutics, etc.

Open-ended questionnaire, Interview, focus group, panel, observations, video, etc.

3-level coding

Advocacy

Qualitative

Same as above, feminism, participatory strategy

Same as above

3-level coding

Pragmatism

Mixed Method Approach

Concurrent, Sequential, and Transformative

Mixed: e.g. interview and close-ended questionnaire

Mixed: descriptive, Inferential, and 3-level coding.

Research Strategy

See figure 1. A strategy must be chosen that aligns with the research worldview, and the research design. The strategy chosen must be explained, and the reason for the choice given.

Method of Data Collection

See figure 1. A data collection method that aligns with the research worldview, the research design, and the research strategy must be given. The chosen method of data collection must be explained. The reason for choosing this method of data collection must be defended.

Method of Data Analysis

See figure 1. A method of data analysis that aligns with the research worldview, the research design, the research strategy, and the method of data collection must be given. The chosen method of data analysis must be explained and defended.

Population

The population must be explained. Who are they? Their demographic boundaries must be properly explained as well. The reason for choosing this population must also be shared. Are there some peculiarities about them that must be discussed? Are they too large for this research?

Sample

If they are too large, then a sample must be chosen. How the sample was chosen should be discussed. Validity and reliability must be supported.