STRENGTHS AND WEAKNESSES OF QUANTITATIVE RESEARCH || PRACTICAL RESEARCH 2

Summary

This video lesson delves into the strengths and weaknesses of quantitative research. It highlights the objectivity and reliability of results due to numerical data and large sample sizes. It also underscores the importance of statistical techniques for sophisticated analysis. The video points out that quantitative research is replicable and can filter out external factors for unbiased results. However, it also acknowledges the drawbacks such as the need for a large number of respondents, which can be time-consuming and costly. Additionally, it notes the lack of elaboration and context, the risk of invalid data from poorly designed questionnaires, and the potential for respondents to provide inaccurate answers.

Takeaways

• 🔢 Quantitative research provides objective numerical data that can be easily misinterpreted.
• 📊 Large sample sizes in quantitative research lead to more reliable and valid results.
• 📈 Statistical techniques are used for sophisticated analysis of large data sets.
• 🔍 Data in quantitative research can be analyzed quickly and easily, allowing for generalization to the population.
• 🧪 Quantitative experiments filter out external factors to ensure unbiased results.
• 🔄 Quantitative research findings can be replicated in different settings to reinforce validity.
• 📝 Questionnaires, checklists, and tests are common tools for data collection in quantitative research.
• 💸 The need for a large number of respondents can make quantitative research time-consuming and costly.
• 🗣️ Lack of elaboration and context can be a disadvantage, as quantitative research focuses on straightforward answers.
• ⚖️ If the questionnaire is not designed or administered correctly, the data can be invalid and inaccurate.

Q & A

What is quantitative research design?

Quantitative research design is a method of concluding results that can either support a new hypothesis or disprove it. It is considered reliable and valid due to its objective nature and use of numerical data.

Why is quantitative research considered objective?

Quantitative research is considered objective because it relies on numerical data that can be easily measured and analyzed, reducing the potential for personal bias.

How does a larger sample size in quantitative research affect the reliability of findings?

A larger sample size in quantitative research generally leads to more reliable and valid findings because it allows for better generalization of the results to the population.

What are the statistical techniques used in quantitative research?

Quantitative research uses statistical techniques like measures of central tendency and correlation to analyze data and interpret results.

How quickly can data in quantitative research be analyzed?

Data in quantitative research can be analyzed quickly and easily, often with the help of statistical software and pre-established models.

What is the role of external factors in quantitative experiments?

Quantitative experiments are designed to filter out external factors to ensure that the results gained are real and unbiased.

How can quantitative research findings be replicated?

Quantitative research findings can be replicated by repeating the same methods in different settings or with different dimensions to verify the validity of the results.

Why is quantitative research sometimes considered costly?

Quantitative research can be costly due to the need for a large number of respondents, which increases expenses related to data collection and reproduction of questionnaires.

What is the significance of elaboration and context in quantitative research?

In quantitative research, elaboration and context are not significant factors. The focus is on numerical analysis and straightforward answers rather than in-depth explanations.

How can the accuracy of data in quantitative research be compromised?

The accuracy of data in quantitative research can be compromised if the questionnaire is not designed or administered correctly, leading to invalid and inaccurate data.

What are the potential issues with using questionnaires in quantitative research?

Potential issues with questionnaires in quantitative research include respondents guessing answers or not providing truthful responses due to ethical concerns, which can affect the validity of the findings.

What is the importance of using existing instruments in quantitative research?

Using existing instruments in quantitative research is important because these tools have been developed and tested, ensuring reliability and validity of the data collected.