data handling and analysis Flashcards
What is the distinction between quantitative and qualitative data?
Quantitative data is numerical and can be measured and quantified, while qualitative data is descriptive and deals with characteristics, qualities, and meanings.
What are quantitative data collection techniques?
Quantitative data collection techniques include surveys, experiments, and structured observations, where data is measured in numbers, allowing for statistical analysis.
What are qualitative data collection techniques?
Qualitative data collection techniques include interviews, open-ended surveys, observations, and focus groups, where data is gathered in the form of words, themes, or narratives.
What is primary data?
Primary data is original data collected for the specific purpose of the study. It is obtained directly from the source through surveys, experiments, interviews, or observations.
What is secondary data?
Secondary data refers to data that has already been collected and published by other researchers or organizations. Examples include books, reports, or existing datasets.
What is meta-analysis?
Meta-analysis is a statistical technique that combines the results of multiple studies to determine overall trends and conclusions, providing a more comprehensive understanding of a research topic.
What is the strength of quantitative data?
The strength of quantitative data is that it is objective, easy to analyze, and allows for statistical comparisons, making it reliable and generalizable.
What is the limitation of quantitative data?
A limitation of quantitative data is that it may not capture the full complexity of human experiences or emotions, as it focuses on numerical measures and may oversimplify behaviors.
What is the strength of qualitative data?
The strength of qualitative data is that it provides rich, detailed insights into people’s thoughts, feelings, and experiences, capturing the depth and complexity of a situation.
What is the limitation of qualitative data?
A limitation of qualitative data is that it can be subjective, and the results may not be easily generalized or quantified. It may also be time-consuming to analyze.
What is the strength of primary data?
The strength of primary data is that it is tailored to the specific research question, making it highly relevant and accurate for the study’s objectives.
What is the limitation of primary data?
A limitation of primary data is that it can be time-consuming and expensive to collect, requiring significant resources and effort from the researcher.
What is the strength of secondary data?
The strength of secondary data is that it is often easily accessible and less expensive to use, saving time and effort for the researcher.
What is the limitation of secondary data?
A limitation of secondary data is that it may not be perfectly suited to the research question, and it may be outdated or lack the detail needed for a specific study.
What is the strength of meta-analysis?
The strength of meta-analysis is that it combines data from multiple studies, increasing the statistical power and providing a more comprehensive understanding of a topic.
What is the limitation of meta-analysis?
A limitation of meta-analysis is that it depends on the quality of the studies being analyzed. If the individual studies are flawed or biased, the meta-analysis results may also be unreliable.
