What is the main disadvantage of convenience sampling?

It Introduces high levels of bias

Which method is used to analyze quantitative data?

Statistical analysis using SPSS

What is the main difference between probability and non-probability sampling?

Probability sampling: each participant has a known chance of selection

Which of the following is NOT a recruitment strategy?

Random elimination of participants

What is the key advantage of stratified random sampling?

It ensures key subgroups are proportionally represented

Why is sample size important in research?

It ensures generalizability and statistical power

What is an example of secondary data collection?

Analyzing government census reports

What is the main goal of recruitment in research?

To identify and enlist research participants

What is the primary purpose of data collection in research?

To test hypotheses and quantify variables

Which of the following is NOT a characteristic of quantitative data collection?

Subjective interpretation of findings

Why is measurement error a concern in research?

It can lead to inaccurate conclusions

What is the purpose of power analysis in research?

To determine the necessary sample size for valid results

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Quantitative Research: Data Collection, Sampling & Recruitment

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Questions 20

Answers

1
Which of the following is an example of probability sampling?
Purposive sampling
Snowball sampling
Convenience sampling
Simple random sampling
2
What is the main disadvantage of convenience sampling?
It Introduces high levels of bias
It takes too long
It requires complex satistical software
It ensures diverse representation
3
What is a key best practice in data collection?
Avoiding transparency in methods
Keeping survey questions ambiguous
Using standardized protocols
Ignoring ethical considerations
4
Which method is used to analyze quantitative data?
Statistical analysis using SPSS
Thematic analysis
Grounded theory
Narrative analysis
5
What is the main difference between probability and non-probability sampling?
Non-probability sampling is more accurate
Probability sampling: each participant has a known chance of selection
Probability sampling is always cheaper
Non-probability sampling eliminates bias
6
Which of the following is NOT a recruitment strategy?
Snowball media advertisements
Random elimination of participants
Direct invitations
Snowball sampling
7
Which sampling method is best for studies with hard-to-reach participants?
Simple random sampling
Snowball sampling
Quota sampling
Systematic sampling
8
What is the key advantage of stratified random sampling?
It allows researchers to select only participants they prefer
It is the fastest method avaliable
It ensures key subgroups are proportionally represented
It eliminates the need for statistical analysis
9
Why is sample size important in research?
It guarantees only positive results
It eliminates the need for statistical tests
It prevents any form of error
It ensures generalizability and statistical power
10
What is a major ethical consideration in data collection?
Only collecting data from close acquaintances
Maximizing response rates
Obfuscating results to favour hypotheses
Obtaining informed consent
11
What is an example of secondary data collection?
Distributing a new survey
Conducting an experiment
Observing classroom behaviour
Analyzing government census reports
12
What is an example of a tool used for online surveys
Google Forms
Excel
Photoshop
MATLAB
13
What is the main goal of recruitment in research?
To influence participant responses
To ensure only researcher benefit from the study
To identify and enlist research participants
To guarantee a sample with only positive responses
14
Which of the following is NOT a method of data collection in quantitative research?
Surveys
Focus groups
Observational studies
Experiments
15
What is an effective way to reduce sampling bias?
Avoiding recruitment from diverse sources
Selecting participants based on researcher preference
Recruiting only from online platforms
Using stratification methods
16
What is the primary purpose of data collection in research?
To increase sample bias
To test hypotheses and quantify variables
To replace qualitative research
To generate random numbers
17
Which of the following is NOT a characteristic of quantitative data collection?
Subjective interpretation of findings
Focuses on objective measurement
Relies on numerical representation
Structured approach
18
Why is measurement error a concern in research?
It makes the research process faster
It guarantees unbiased results
It can lead to inaccurate conclusions
It always benefits the researcher
19
What is a common issue with non-response in surveys?
It speeds up data analysis
It may reduce data reliability
It increases statistical accuracy
It helps balance sample representation
20
What is the purpose of power analysis in research?
To determine the necessary sample size for valid results
To eliminate errors from sampling
To select the best participants for a study
To analyze participant responses

Quantitative Research: Data Collection, Sampling & Recruitment Flashcards | StudBud