This post is part of the continuing mini-series on RQ–RH–D–M across fields. Its purpose is to provide a compact, practical toolkit showing how research questions, research hypotheses or working propositions, data, and methodology can be aligned in one specific discipline. Tourism is especially suitable for this exercise because…
Category: Research methods
Sport and Diet Research by Design: Questions, Hypotheses, Data and Methods
This post is part of the continuing mini-series on RQ–RH–D–M across fields. Its purpose is to provide a compact, practical toolkit showing how research questions, research hypotheses or working propositions, data, and methodology can be aligned in one specific discipline. Sport and diet is an especially useful field…
Designing Strong Quantitative, Qualitative, and Mixed Methods Studies
How methodological maturity begins when design quality is judged by fit, coherence, and inferential discipline 1. Intuitive Introduction A strong study is not simply one that uses advanced statistics, long interviews, or a combination of methods. It is one in which the design is coherent…
Psychology Research by Design: Questions, Hypotheses, Data, and Methods
This post is part of the continuing mini-series on RQ–RH–D–M across fields. Its purpose is to provide a compact, practical toolkit showing how research questions, research hypotheses or working propositions, data, and methodology can be aligned in one specific discipline. Psychology is especially suitable for…
Poverty Research by Design: Questions, Hypotheses, Data, and Methods
This post is part of the continuing mini-series on RQ–RH–D–M across fields. Its purpose is to provide a compact, practical toolkit showing how research questions, research hypotheses or working propositions, data, and methodology can be aligned in one specific discipline. Socio-economic poverty is especially suitable…
Sampling, Case Selection, and Evidence Planning
How researchers decide what counts as evidence before analysis begins 1. Intuitive Introduction One of the most common design errors in research does not happen in the analysis. It happens earlier, when the researcher decides what evidence to collect. A study may begin with a…
Political Science Research by Design: Questions, Hypotheses, Data, and Methods
This post is part of the continuing mini-series on RQ–RH–D–M across fields. Its purpose is to provide a compact, practical toolkit showing how research questions, research hypotheses or working propositions, data, and methodology can be aligned in one specific discipline. Political science is especially suitable…
Medicine Research by Design: Questions, Hypotheses, Data and Methods
This post is part of the continuing mini-series on RQ–RH–D–M across fields. Its purpose is to provide a compact, practical toolkit showing how research questions, research hypotheses or working propositions, data, and methodology can be aligned in one specific discipline. Medicine is especially suitable for this exercise because…
From Concepts to Evidence
How strong ideas become usable evidence through careful operationalization 1. Intuitive Introduction Many studies begin with a concept that sounds important, persuasive, and intellectually serious: wellbeing, resilience, trust, sustainability, innovation, adaptation, exclusion, recovery. The problem is that concepts do not enter a dataset by themselves….
Marketing Research by Design: Questions, Hypotheses, Data and Methods
This post is part of the continuing mini-series on RQ–RH–D–M across fields. Its purpose is to provide a compact, practical toolkit showing how research questions, research hypotheses or working propositions, data, and methodology can be aligned in one specific discipline. Marketing is especially suitable for this kind of…