Podcast
Questions and Answers
What primarily distinguishes interval/ratio variables from ordinal variables?
What primarily distinguishes interval/ratio variables from ordinal variables?
Which of the following is an example of a dichotomous variable?
Which of the following is an example of a dichotomous variable?
In which type of variable can distances between categories be considered identical across the range?
In which type of variable can distances between categories be considered identical across the range?
Which of the following variables cannot be ranked or ordered?
Which of the following variables cannot be ranked or ordered?
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What is a characteristic of ordinal variables?
What is a characteristic of ordinal variables?
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Which type of variable would best represent the question 'How old are you?' with an example response of '25'?
Which type of variable would best represent the question 'How old are you?' with an example response of '25'?
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What is one of the limitations of quantitative research regarding its data collection?
What is one of the limitations of quantitative research regarding its data collection?
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How is data typically presented in quantitative research?
How is data typically presented in quantitative research?
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Which characteristic indicates the reliability of quantitative research?
Which characteristic indicates the reliability of quantitative research?
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What may affect the accuracy of responses in quantitative research?
What may affect the accuracy of responses in quantitative research?
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In quantitative research, which scenario provides researchers with control over variables?
In quantitative research, which scenario provides researchers with control over variables?
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What aspect of quantitative research does replication enhance?
What aspect of quantitative research does replication enhance?
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What is a significant weakness of quantitative research mentioned?
What is a significant weakness of quantitative research mentioned?
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Which of these best describes the nature of quantitative research?
Which of these best describes the nature of quantitative research?
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Study Notes
Strengths and Weaknesses of Research
- Lack of depth in exploring problems or concepts due to insufficient data.
- Incomplete explanation of human experiences; quantitative data may not capture subjective experiences.
- Non-numerical aspects, such as feelings and beliefs, are inadequately addressed.
- Rigid research design limits flexibility and adaptability to new findings.
- Response options may be limited, constraining participants' answers to predefined choices.
- Potential for inaccurate responses from participants, affecting data reliability.
- Large sample sizes enhance the complexity of data collection processes.
Characteristics of Quantitative Research
- Objective Nature: Focuses solely on factual, measurable elements rather than emotional or cognitive aspects.
- Reliable Data: Utilizes objective analysis of samples representing populations, increasing credibility for decision-making and policy formulation.
- Replication: The ability to repeat studies to verify findings enhances validity and reduces the risk of incorrect conclusions.
- Visual Result Presentation: Utilizes numerical data for effective presentation through graphs, charts, and tables, improving comprehension.
Control of Variables in Research
- True experimental research allows control over independent variables, whereas in ex post facto studies, these variables have already occurred naturally, limiting manipulation.
Comparative Studies Examples
- Examines the social and economic impacts of tourism development on indigenous versus non-indigenous communities.
- Compares agricultural practices between organic and conventional farming methods.
- Analyzes differences in traditional and modern teaching methods in Filipino elementary schools.
- Investigates socioeconomic factors influencing child nutrition across the regions of Luzon, Visayas, and Mindanao.
Variables in Quantitative Research
- Defined as changing qualities or characteristics, including age, gender, intelligence, and achievements.
- Rooted in the concept of variation, signifying differing values across time and situations.
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Main Types of Variables:
- Interval/Ratio: Data with equal distances between categories. Example: Age measured in years.
- Ordinal: Ranked categories with unequal distances. Example: Frequency of checking Bitcoin prices.
- Nominal (Categorical): Non-ranked categories. Example: Preferences for currency types.
- Dichotomous: Two-category responses. Example: Gender identification as male or female.
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Description
This quiz examines the strengths and weaknesses of various research methods, particularly focusing on quantitative research. It addresses issues like data limitations, participant response accuracy, and the rigidity of research designs. Test your understanding of how these factors impact research outcomes.
