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Diapositivas

Sampling Bias and Nonprobability

Roxanne V Springman Advertising Inglés 5,0Valoración media 5,0 de 5 (1 valoración) 7 diapositivas

Diapositivas del conjunto (7)

  1. Research Bias

    • MUST ELIMINATE BIAS
    • Only without bias can researchers be confident in their findings
    • Bias occurs when respondents are not selected through true random sampling
  2. Online Panels - guidelines

    • invitation preferred over "opt-in" - but it generates a low response rate
    • professional respondents are undesirable
    • verify your respondents are real
    • Panel should represent US population
    • Monitor Response Rates - low response rates means people are turning away
    • Poor panelists removed (the people who press the same button or answer crazy)
  3. Nonprobability Sampling

    • Convenience
    • Judgement
    • Quota
    • Snowball
    • Not good for generalization, only for quick, preliminary results
  4. Convenience Sampling

    • respondents are selected because they are convenient and accessible.
    • will most likely provide biased and unreliable information.
    • should only be used when there is no need to generalize to the broader population
    • appropriate for exploratory research or quick information such as questionnaire pretesting
    • times and conditions can change a sample DRAMATICALLY
  5. Judgement Sampling

    • respondents selected based on an expert's decision on who is best to interview.
    • the greater the expertise, the greater the confidence in the results of the research (directly related)
    • only recommended when the is immense confidence in the expert opinion or only when preliminary, exploratory information is needed
    • Approaches include:
    • extreme cases
    • typical cases
    • intense or passionate cases
  6. Quota Sampling

    • Extension of judgement sampling
    • attempts to represent demographics of the sample equal to that of the broader target population
    • obtained in 5 steps:
    • Determine the defining characteristics of the key subgroups
    • Determine the percent of the total population represented by each defining charateristic
    • Determine the percent of the total population represented by each quota cell.
    • translate the percent into a sample size
    • Sample population
  7. Snowball Sampling

    • Uses current participants to recruit new participants
    • used for populations where access is through personal introductions
    • subject to numerous biases
    • can be caused by a reposting or forwarding of surveys by a current participant
    • Can be inaccurate because you have no idea who is answering the survey

Información

Descripción
Advertising Diapositivas sobre Sampling Bias and Nonprobability, creado por Roxanne V Springman el 13/09/2017.
Visitas
43
Valoración
Valoración media 5,0 de 5 (1 valoración)

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