6 Questions
What is the primary difference between cross-sectional surveys and longitudinal surveys?
The time frame in which the data is collected
Which type of survey method is most susceptible to social desirability bias?
Interviewer-administered surveys
What is the primary purpose of data cleaning in survey analysis?
To check for errors and inconsistencies in the data
What is the primary advantage of using probability sampling in survey research?
It allows for generalizability to the population
What is the primary purpose of using scales in survey research?
To measure attitudes or opinions on a continuous scale
What is the primary difference between descriptive statistics and inferential statistics?
The purpose of the analysis
Study Notes
Types of Surveys
- Cross-sectional surveys: Collect data from a sample of participants at a single point in time.
- Longitudinal surveys: Collect data from the same sample of participants over a period of time.
- Retrospective surveys: Collect data about past events or behaviors.
Survey Methods
- Self-administered surveys: Participants complete the survey on their own, often online or through a paper questionnaire.
- Interviewer-administered surveys: A trained interviewer asks participants questions and records their responses.
- Observational surveys: Researchers observe participants' behavior and record their responses.
Survey Design
- Closed-ended questions: Participants select from a list of preset responses.
- Open-ended questions: Participants provide their own responses in their own words.
- Scales: Participants rate their responses on a scale (e.g. Likert scale, 1-5).
Survey Sampling
- Probability sampling: Every member of the population has an equal chance of being selected.
- Non-probability sampling: Participants are selected based on convenience or other non-random criteria.
- Sampling frames: Lists of individuals or groups from which participants are selected.
Survey Analysis
- Descriptive statistics: Summarize and describe the data (e.g. means, frequencies).
- Inferential statistics: Make inferences about the population based on the sample data (e.g. hypothesis testing, confidence intervals).
- Data cleaning: Check for errors and inconsistencies in the data.
Types of Surveys
- Cross-sectional surveys involve collecting data from a sample of participants at a single point in time.
- Longitudinal surveys involve collecting data from the same sample of participants over a period of time.
- Retrospective surveys involve collecting data about past events or behaviors.
Survey Methods
- Self-administered surveys involve participants completing the survey on their own, often online or through a paper questionnaire.
- Interviewer-administered surveys involve a trained interviewer asking participants questions and recording their responses.
- Observational surveys involve researchers observing participants' behavior and recording their responses.
Survey Design
- Closed-ended questions require participants to select from a list of preset responses.
- Open-ended questions allow participants to provide their own responses in their own words.
- Scales require participants to rate their responses on a scale (e.g. Likert scale, 1-5).
Survey Sampling
- Probability sampling involves every member of the population having an equal chance of being selected.
- Non-probability sampling involves selecting participants based on convenience or other non-random criteria.
- Sampling frames involve lists of individuals or groups from which participants are selected.
Survey Analysis
- Descriptive statistics involve summarizing and describing the data (e.g. means, frequencies).
- Inferential statistics involve making inferences about the population based on the sample data (e.g. hypothesis testing, confidence intervals).
- Data cleaning involves checking for errors and inconsistencies in the data.
This quiz covers the different types of surveys, including cross-sectional, longitudinal, and retrospective surveys, as well as survey methods such as self-administered and interviewer-administered surveys.
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