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A strong research design aligns all these key elements
                                            into a coherent plan. It provides an organising framework for
                                            conducting research systematically. Key decisions shape the
                                            design:

                                               Exploration  vs Explanation:  Qualitative  design  offers
                                            a comprehensive platform for stepping into complex
                       Deep exploration     phenomena, encouraging researchers to explore and
                        and statistical     comprehend  intricate  aspects  of a  subject.  In contrast,
                           analysis         quantitative  design  operates  effectively  in  explaining
                                            phenomena  by employing hypothesis testing  to establish
                                            statistically significant relationships and draw generalisable
                                            conclusions from a larger population.

                                               Deductive vs Inductive Approach: Deduction involves

                          Specific to       formulating a specific hypothesis or theory and then gathering
                        general & vice      data to verify or refute it. It is a top-down approach that seeks
                            versa           to validate existing knowledge. On the other hand, induction
                                            involves collecting data first and then deriving patterns or
                                            theories  from the observed data,  making  it a bottom-up
                                            approach that generates new insights.

                                               Experimental  vs Non-Experimental:  Experimental
                                            research employs controlled conditions and random
                          Controlled        assignment to manipulate  variables, facilitating  the
                       manipulation &       establishment  of  cause-and-effect  relationships.  Non-
                      observation-based     experimental methods, such as observational or correlational
                                            studies,  do  not  intervene  in  variables  but  instead  observe
                                            real-world  phenomena,  providing  valuable  insights  into
                                            associations and relationships.

                                               Cross-sectional vs Longitudinal: Cross-sectional studies
                                            gather data from a diverse group at a single time point, offering
                         Single-time        a snapshot of the subject's characteristics  at that moment.
                         snapshot &         Longitudinal  studies, however, follow participants over
                      extended tracking     an extended period, allowing researchers to track changes,

                                            identify trends, and explore developmental processes or the
                                            impact of interventions over time.

                                               Thoughtful  research  design optimises  the  validity of
                                            findings and rigour of research methods. It integrates elements
                          Optimised
                        research design     into a logical plan tailored to the study's purpose, questions
                                            and context. A robust design leads to credible conclusions
                                            and relevant discoveries.











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