Podcast
Questions and Answers
What is the main difference between convenience sampling and purposive sampling?
What is the main difference between convenience sampling and purposive sampling?
- Convenience sampling involves inviting target populations through email, while purposive sampling involves general announcements on social media.
- Convenience sampling relies on primary data sources, while purposive sampling relies on snowball sampling.
- Convenience sampling is based on availability and ease of recruitment, while purposive sampling uses the researcher's judgment based on inclusion criteria. (correct)
- Convenience sampling ensures a representative sample, while purposive sampling is more biased.
In which type of sampling method do primary data sources nominate other potential primary data sources?
In which type of sampling method do primary data sources nominate other potential primary data sources?
- Snowball/Chain-Referral Sampling (correct)
- Convenience Sampling
- Quota Sampling
- Purposive Sampling
What is the purpose of Quota Sampling?
What is the purpose of Quota Sampling?
- To reach a determined number of participants by accepting joiners until the quota is reached. (correct)
- To invite target populations through multiple means to participate.
- To ensure a completely random selection of participants.
- To choose members of the population based on the researcher's judgment.
Which of the following is NOT a measure of central tendency under Descriptive Statistics?
Which of the following is NOT a measure of central tendency under Descriptive Statistics?
What does Descriptive Statistics primarily aim to achieve?
What does Descriptive Statistics primarily aim to achieve?
Which type of sampling involves selecting members based on the availability of participants and ease of recruitment?
Which type of sampling involves selecting members based on the availability of participants and ease of recruitment?
Which sampling method ensures that each member of the population has an equal chance of being selected?
Which sampling method ensures that each member of the population has an equal chance of being selected?
When is stratified sampling most applicable?
When is stratified sampling most applicable?
Which type of sampling makes use of personal judgment or convenience?
Which type of sampling makes use of personal judgment or convenience?
What does Probability sampling aim to achieve in terms of validity?
What does Probability sampling aim to achieve in terms of validity?
Which sampling method involves subdividing the population based on preexisting partitions?
Which sampling method involves subdividing the population based on preexisting partitions?
What is the essential characteristic of simple random sampling (SRS)?
What is the essential characteristic of simple random sampling (SRS)?
What is the purpose of sampling in statistics?
What is the purpose of sampling in statistics?
In statistics, what does 'population' refer to?
In statistics, what does 'population' refer to?
What is a 'sample' in statistics?
What is a 'sample' in statistics?
What is the purpose of Slovin’s Formula in sampling?
What is the purpose of Slovin’s Formula in sampling?
According to Green's Rule of Thumb (1991), when is a sample size considered acceptable for Multiple Correlation analysis?
According to Green's Rule of Thumb (1991), when is a sample size considered acceptable for Multiple Correlation analysis?
What is the main difference between Probability and Non-probability sampling?
What is the main difference between Probability and Non-probability sampling?
Study Notes
Sampling
- Sampling is the scientific process of selecting a collective (called a “sample”) from the population of interest for the purpose of making inferences about that specific population.
- Population (N) refers to the complete set of individuals, objects, or scores that the investigator is interested in studying.
- Sample (n) is a subset of the population.
Determining Minimum Sample Size
- The minimum sample size can be determined using Slovin's Formula and Rules of Thumb such as Green's Rule of Thumb (1991) for studies utilizing Multiple Correlation & Regression analysis.
- N > 50 + 8m, where m is the number of predictors.
Types of Sampling
- Non-probability sampling: made through usage of personal judgment or convenience, including Convenience Sampling, Purposive Sampling, Snowball/Chain-Referral Sampling, and Quota Sampling.
- Probability/Random Sampling: ensures that each individual member has an equal chance of being selected, including Simple Random Sampling (SRS), Stratified Sampling, Cluster Sampling, Systematic Sampling, and Multistage Sampling.
Descriptive Statistics
- Descriptive statistics is used to describe, show, or summarize data in a meaningful way, but does not allow us to make conclusions or prove/disprove hypotheses.
- Types of Descriptive Statistics include:
- Measures of Central Tendency: Mean, Median, Mode
- Measures of Variation: Range, Standard Deviation, Variance
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Description
Test your knowledge on the concepts of Sampling and Descriptive Statistics. Learn about determining minimum sample size, Probability vs Non-probability sampling, and applying descriptive statistics in MS Excel.
