Survey Methods and Types
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Questions and Answers

What is the primary difference between cross-sectional surveys and longitudinal surveys?

  • The type of questions asked
  • The length of the survey
  • The method of data collection
  • The time frame in which the data is collected (correct)
  • Which type of survey method is most susceptible to social desirability bias?

  • Interviewer-administered surveys (correct)
  • Retrospective surveys
  • Self-administered surveys
  • Observational surveys
  • What is the primary purpose of data cleaning in survey analysis?

  • To make inferences about the population
  • To identify patterns in the data
  • To summarize and describe the data
  • To check for errors and inconsistencies in the data (correct)
  • What is the primary advantage of using probability sampling in survey research?

    <p>It allows for generalizability to the population</p> Signup and view all the answers

    What is the primary purpose of using scales in survey research?

    <p>To measure attitudes or opinions on a continuous scale</p> Signup and view all the answers

    What is the primary difference between descriptive statistics and inferential statistics?

    <p>The purpose of the analysis</p> Signup and view all the answers

    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.

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    Description

    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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