Podcast
Questions and Answers
What best describes the definition of a population in research?
What best describes the definition of a population in research?
Which type of population refers specifically to the group that is accessible for research?
Which type of population refers specifically to the group that is accessible for research?
What is a key characteristic of probability sampling?
What is a key characteristic of probability sampling?
What is the purpose of sampling techniques in research?
What is the purpose of sampling techniques in research?
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According to the context, what percentage represents an ideal sample size in descriptive research?
According to the context, what percentage represents an ideal sample size in descriptive research?
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Which sampling technique is more likely to result in a biased sample?
Which sampling technique is more likely to result in a biased sample?
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What does a literature review involve in the context of research?
What does a literature review involve in the context of research?
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What is the purpose of Slovin’s Formula in research?
What is the purpose of Slovin’s Formula in research?
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What main principle underlies power analysis in statistical studies?
What main principle underlies power analysis in statistical studies?
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Which sampling method involves ensuring homogeneity within groups based on a specific characteristic?
Which sampling method involves ensuring homogeneity within groups based on a specific characteristic?
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What is a significant drawback of non-probability sampling methods?
What is a significant drawback of non-probability sampling methods?
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In what scenario is simple random sampling particularly effective?
In what scenario is simple random sampling particularly effective?
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What is typically NOT a characteristic of cluster sampling?
What is typically NOT a characteristic of cluster sampling?
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Which of the following statements about statistical power is true?
Which of the following statements about statistical power is true?
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Which non-probability sampling method is known for leveraging existing participants to recruit new ones?
Which non-probability sampling method is known for leveraging existing participants to recruit new ones?
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What is a common characteristic of probability sampling methods?
What is a common characteristic of probability sampling methods?
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What is the primary goal of effect size in a research study?
What is the primary goal of effect size in a research study?
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What is a critical consideration when using stratified sampling?
What is a critical consideration when using stratified sampling?
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Study Notes
Population
- Totality of all objects, elements, persons, and characteristics under consideration
- Possesses common characteristics
- Research aims to explore these characteristics
Types of Population
- Target population
- Accessible population
Time and Cost Considerations
- Sample selection involves assessing the whole population
- Needs time, attention, and effort
Approaches in Identifying the Sample Size
- Research Design: Descriptive, Comparative
- Number of Subjects/Participants: 10-20% (descriptive), 15 students/groups (comparative)
- Literature Review is crucial for related research
Sampling
- Systematic process of selecting a group to analyze
Sample Size
- Reflects 95% distribution of the whole population. A sample size representing the whole population is highly probable
Sampling Techniques
- Probability Sampling: uses random selection
- Non-probability Sampling: purposive or controlled selection
- Heterogeneity of population: composed of individuals with varied abilities
Statistical Techniques
- Accuracy of the sample depends on the method used
Statistical Power
- Probability of rejecting the null hypothesis
- There is a relationship between independent and dependent variables
Effect size
- Level of difference between experimental and control groups
Non-Probability Sampling
- Not chosen randomly, often purposefully
- Susceptible to bias
- Quota, Voluntary, Purposive, Snowball
Probability Sampling
- Based on chance
- Everybody participates in the population
- Simple Random Sample, Systematic, Stratified, Cluster
Simple Random Sampling (SRS)
- Entire population list is necessary
- Useful for random selection with or without replacement
Stratified Sampling
- Groups respondents based on particular characteristics
- Each group is homogenous
Cluster Sampling
- Groups respondents based on geographic closeness
- Researcher selects a specific number of clusters
- Tests all students in selected schools, may be biased
Stage Sampling
- Selecting samples in stages
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Description
This quiz focuses on key concepts related to sampling techniques, population types, and sample size determination in research design. Understand the differences between target and accessible populations, explore various sampling methods, and examine the importance of literature reviews in research. Engage with practical insights on how to successfully identify and implement sample sizes.
