How do you read research findings?
How do you read research findings?
Relate your findings to the findings of those previous studies and indicate where your findings aligned and where they did not align. Offer possible explanations as to why your findings corroborated or contradicted the findings of previous studies. If your findings are novel, mention and expand on that.
What are the strengths and weaknesses of qualitative research?
Qualitative methodStrengthsLimitationsProvide more detailed information to explain complex issuesMore difficult to analyse; don’t fit neatly in standard categoriesMultiple methods for gathering data on sensitive subjectsData collection is usually time consumingData collection is usually cost efficient1 more row
What are the key features of the strength of quantitative research?
Characteristics of Quantitative ResearchThe data is usually gathered using structured research instruments.The results are based on larger sample sizes that are representative of the population.The research study can usually be replicated or repeated, given its high reliability.
What are the 5 characteristics of quantitative research?
What are the Characteristics of Quantitative Research?Large Sample Size.Structured Research Methods.Highly Reliable Outcome.Reusable Outcome.Close-ended questions.Numerical Outcome.Generalization of Outcome.Prior study.
What are the 3 characteristics of qualitative research?
Characteristics of Qualitative Observational ResearchNaturalistic Inquiry. Qualitative observational research is naturalistic because it studies a group in its natural setting. Inductive analysis. Holistic perspective. Personal contact and insight. Dynamic systems. Unique case orientation. Context sensitivity. Empathic neutrality.
How do you conduct a quantitative study?
The main methods used in quantitative research are:Survey. Survey methods collects data gathered from responses given by the participants through questionnaires. Tracking. Experiments. Structured interviews. Validity. Internal validity. External validity. Lack of detail.