Questions and Answers
What is a primary characteristic of quantitative research?
What is an important factor in enhancing the validity of findings in quantitative research?
What aspect does a large sample size contribute to in quantitative research?
Which term describes the process of selecting subjects for a study in quantitative research?
Signup and view all the answers
What is known to be a potential outcome if conclusions in research are based on false assumptions?
Signup and view all the answers
What type of data does quantitative research primarily utilize?
Signup and view all the answers
Which statistical methods are commonly used in quantitative research?
Signup and view all the answers
What is a key characteristic of quantitative research regarding sample size?
Signup and view all the answers
How does quantitative research ensure the objectivity of data analysis?
Signup and view all the answers
Which of the following is NOT a characteristic of quantitative research?
Signup and view all the answers
What is a primary benefit of numerizing data for presentation?
Signup and view all the answers
Which statement about data analysis is correct?
Signup and view all the answers
How can generalized data be reliably applied to a population?
Signup and view all the answers
What is an advantage of quantitative research regarding data collection?
Signup and view all the answers
Why is data obtained from a representative sample considered reliable?
Signup and view all the answers
Study Notes
Quantitative Research Overview
- Utilizes scientifically collected and statistically analyzed data to explore observable facts or situations.
- Employs a scientific method for designing and gathering numerical data.
- Analyzes data through statistical methods such as Pearson's r, t-tests, and analysis of variance.
- Requires that all data obtained is numerical and quantifiable.
Characteristics of Quantitative Research
- Large Sample Size: Ensures statistically significant results by gathering data from a wide-ranging sample.
- Objectivity: Data collection and analysis are conducted with precision, free from personal biases or assumptions of researchers.
Data Analysis Techniques
- Concise Visual Presentation: Data is expressed numerically, enhancing presentation through charts and tables for better interpretation.
- Faster Data Analysis: Use of statistical tools streamlines the analysis process, saving time.
- Generalized Data: Findings from samples can be extrapolated to the larger population, provided that the sample is sufficiently large and randomly selected.
- Fast and Easy Data Collection: The methodology allows for swift data gathering using standardized research instruments, facilitating efficiency.
- Reliable Data: Information is gathered and analyzed from a representative sample, boosting credibility for policymaking and decision-making.
High Replicability
- High replicability enhances the validity of findings, minimizing the risk of false or hasty conclusions.
- Focusing on statistical integrity ensures that results can be confidently shared and applied in various contexts.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
Explore the fundamental aspects of quantitative research, including its scientific methodology and statistical analysis techniques. This quiz covers key characteristics such as sample size and data collection to help solidify your understanding of quantitative methods.
