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Fowler ch.1: Introduction

  • the purpose of the survey is to produce statistics— quantitative descriptions about some aspects of the study population

  • the main way of collecting info is by asking people questions

  • info is generally collected about a fraction of the population (a sample)

Reasons for surveys

  • three potential properties of data from a properly done survey that may make them preferable to data from other sources

    • probability sampling

      • enables one to have confidence that the sample isn’t a biased one and to estimate how precise the data are likely to be

    • standardized measurement

      • consistent across all respondents

      • ensures that comparable info is obtained about everyone who’s described

    • special-purpose survey

      • ensures that all the data for a given analysis are available and can be related

Components of surveys

  • sampling

    • to select a small subset of a population representative of the whole population

    • the key is finding a way to give nearly all population members the same chance of being selected and using probability methods for choosing the sample

  • question design

    • researchers evaluate questions to find out if they are well understood and if the answers are meaningful

    • pretests of surveys

    • choice of question wording- more objective

  • interviewing

    • when interviewers are used, it’s important that they avoid influencing the answers respondents give and at the same time maximize the accuracy with which questions are answered

    • give the interviewers standardized questions

    • interviewers need to be trained in how to administer a survey to avoid introducing important biases in the answers they obtained

  • mode of data collection

    • in-person

    • telephone interviewing

    • the internet

    • mail surveys

  • total survey design

    • optimal survey design will take into account all the most important aspects of the survey process

      • whether or not to use a probability sample

      • the sample frame (people who have a chance to be sampled)

      • the size of the sample

      • the sample design

      • the response rate

    • the quality of the data will be no better than the most error-prone feature of the survey design

CP

Fowler ch.1: Introduction

  • the purpose of the survey is to produce statistics— quantitative descriptions about some aspects of the study population

  • the main way of collecting info is by asking people questions

  • info is generally collected about a fraction of the population (a sample)

Reasons for surveys

  • three potential properties of data from a properly done survey that may make them preferable to data from other sources

    • probability sampling

      • enables one to have confidence that the sample isn’t a biased one and to estimate how precise the data are likely to be

    • standardized measurement

      • consistent across all respondents

      • ensures that comparable info is obtained about everyone who’s described

    • special-purpose survey

      • ensures that all the data for a given analysis are available and can be related

Components of surveys

  • sampling

    • to select a small subset of a population representative of the whole population

    • the key is finding a way to give nearly all population members the same chance of being selected and using probability methods for choosing the sample

  • question design

    • researchers evaluate questions to find out if they are well understood and if the answers are meaningful

    • pretests of surveys

    • choice of question wording- more objective

  • interviewing

    • when interviewers are used, it’s important that they avoid influencing the answers respondents give and at the same time maximize the accuracy with which questions are answered

    • give the interviewers standardized questions

    • interviewers need to be trained in how to administer a survey to avoid introducing important biases in the answers they obtained

  • mode of data collection

    • in-person

    • telephone interviewing

    • the internet

    • mail surveys

  • total survey design

    • optimal survey design will take into account all the most important aspects of the survey process

      • whether or not to use a probability sample

      • the sample frame (people who have a chance to be sampled)

      • the size of the sample

      • the sample design

      • the response rate

    • the quality of the data will be no better than the most error-prone feature of the survey design

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