Sampling and Data Collection

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15 Terms

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probability sampling

the probability of being chosen for each individual in the population is known

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non-probability sampling

the probability of being chosen for each individual in the population is unknown

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simple random sampling

every member in the population has an equal chance of being chosen for the sample

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stratified random sampling

the population is divided into subgroups (strata) and simple random sampling is used to choose individuals from each subgroup (stratum)

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cluster sampling

identify and sample clusters of individuals in a population

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probability sampling advantages and disadvantages

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non-probability sampling

the probability of being chosen for each individual in the population is unknown

  • Very common in psychological research

  • May not be representative of the population at interest

    • Some are more representative than others

  • In some studies, may not be a big concern

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convenient/haphazard sampling

recruiting from wherever feasible

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quota sampling

choose a sample that reflects the composition of subgroups in a population. Use haphazard sampling to achieve this sample

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Data collection

instructions

  • clear

  • allow participants to ask questions

  • whether to inform participants about the hypotheses of the study?

    • placebo effect

    • demanding characteristics

  • whether to inform experimenters about the hypotheses of the study?

    • experimenter bias

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single-blind experiment

the participants are unaware of which condition (experimental or control) they’re in

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double-blind experiment

the participants and experimenters are unaware of which condition (experimental or control) each participant is in

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measure (and manipulaion) of IVs and DVs

  • Reliability and validity

  • Multiple DVs

  • Sensitivity of measures

    • Ceiling effect

    • Floor effect

  • Strength of manipulation (ex: length, dosage)

  • Manipulation check

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debriefing

ethical for participants to know the aims and hypotheses about the study

  • Learn about participants’ thoughts and feelings, which can be helpful for interpreting results

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pilot studies

a trial run with a small number of participants

  • Do participants understand your instruction?

  • How long does it take?

  • Is the age group appropriate?

  • Do you have floor/ceiling effects?