Research Methods in Education – Research Designs and Pragmatic Paradigm Analysis

An Educational Study Focused on the Application of Mixed Method Approach as a Research Method.

This paper introduces and analyses a mixed-methods approach and further analyses the strengths and limitations of the convergent parallel design in the educational research studies. Our study serves a valuable purpose in clear patterns, trends, and statistical association relevant to the impact of independent variables on dependent variables throughout the course of the study. Concurrently, this research design facilitates a holistic comprehension of the research problem by enabling a complicated examination from various perspectives. The analysis of this paper is based on books, articles, dissertations, and online papers where different research methods are applied in different studies. The analysis highlights that qualitative and quantitative data are collected simultaneously and independently in a convergent parallel mixed methods design. It is followed by integrating and comparing the two data types during the analysis and interpretation phase. The analysis further highlights that a quantitative survey could be administered to a larger population sample to collect numerical data based on the research questions and other relevant variables. The analysis also suggests that once the data collection is completed, the author should independently conduct separate analyses for the quantitative and qualitative data. The analysis signifies that quantitative analysis can cover descriptive statistics, inferential tests, and binary logistic regression analysis to analyze the quantitative data and identify significant associations between the independent and dependent variables. The qualitative data analysis method is content analysis to identify codes, key codes, subcategories, and main categories within the qualitative data. The analysis shows that during the integration phase, a comparative analysis has to be conducted between the quantitative and qualitative findings to identify convergence, divergence, and contrast points between the two data sets. The results highlight that a triangulation approach supports establishing a cohesive analysis, which involves exploring the interconnections and mutual reinforcement between the qualitative and quantitative outcomes in the same format with more clarity. The analysis of this integrated analytical effort is subsequently incorporated into the discussion section. The analysis further indicates that the convergent parallel design is one of the mixed methods designs. In this section, the author’s responsibility lies in elucidating the consequences and interpretations drawn from the integrated results, encompassing theoretical foundations and practical implications. (Adhikari, R., & Timsina, T. P. (2024). An Educational Study Focused on the Application of Mixed Method Approach as a Research Method Authors. T he OCEM Journal of Management, T echnology, and Social Sciences, 3 ( 1 ) , 94 – 109

Question 1                                                                                                                                                                                           

Analyse various kinds of research designs and examine how each aligns with distinct academic or practical objectives. What are the underlying principles that differentiate these kinds of research?

Question 2                                                                                                                                                                                           

Evaluate the relevance and applicability of the Pragmatic paradigms in addressing complex research problems across disciplines.

Question 3                                                                                                                                                                                           

Critically discuss the effectiveness of survey and experimental designs in generating valid and generalisable quantitative data. Under what conditions is each data collection method most appropriate, and how do their data collection strategies impact the interpretation of results?

Question 4                                                                                                                                                                                           

Assess and synthesise various qualitative data collection methods to effectively investigate complex social phenomena and explain how these methods contribute to the development of comprehensive, nuanced insights that inform theory and practice.

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Experts Answers on Above Questions on Research Methods

Research designs and their underlying principles

The major types of research designs are quantitative research design which includes the application of numerical data in order to identify patterns, relationships and statistical associations. It includes descriptive design, correlational design and experimental design. Apart from this, the qualitative research design investigates meaning, experiences, perceptions and social processes in depth. The mixed method design combines the quantity when qualitative evidence within a single study. The conversion parallel design is the integration of complementary forms of evidence. Researchers perform the comparison of two datasets in order to identify convergence, divergence and contrasting findings.

Pragmatic design

This particular design is highly effective in case of research that prioritises the research problem and usefulness of the knowledge produced. It is highly relevant because it accommodates mixed methods, useful in case of complex problems, supports practical problem solving, and methodological flexibility.

Survey and experimental design

The survey design is highly effective when there is a need to collect standardised information. A survey is highly appropriate when the research is done to measure the attitude or perceptions, estimate prevalence, compare groups, or examine statistical associations between variables.
The experimental design is stronger when the objective is to determine the effect of one variable causing changes in another. This design is highly appropriate when variables can be manipulated, participants can be assigned appropriately, and the researcher needs evidence of causal effects.

Qualitative data collection methods

The qualitative data collection methods includes interviews where by researcher explores the experiences and perceptions of participants in-depth, focus group interviews which allow several participants to discuss a topic collectively, observation to examine the behaviour and interactions in their actual context, and document and textile analysis that involve analysis of documents, reports, diaries and other textual materials.

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