sampling

Cards (21)

  • entire aggregation of the case where a researcher is interested
    population
  • process of selecting the sample or a portion of the population
    sampling
  • subset of the population elements
    sample
  • how well the sample represents the population
    representativeness
  • one whose key characteristics closely approximate those of the population
    repsentative sample
  • results to overrepresentation or underrepresentation of some segment of the population ❑ smaller sample size = bigger chance of sampling errors
    sampling error
  • here is a form of bias in the selection of sample
    no assurance
    Findings are limited to the sample
    NON PROBABILITY SAMPLING
  • there is random selection of sample
    each element in the population has the same equal chance of being selected as a sample
    there is greater representation in each unit in the population
    findings can be generalized to the population
    probability sampling
  • --selection of samples based on the convenience of the researcher ➢ sometimes called Accidental Sampling

    convenience sampling
  • --“Referral System” --initial sample members are asked to refer other people who meet the criteria required by the researcher --people who share the same traits or experiences know each other --useful for participants who are hard to find
    snowball sampling
  • --the selection of the sample is based on the selective judgment of the researcher --Judgmental Sampling
    purposive sampling
  • --researcher identifies population sections or strata and decides how many participants are required from each section
    quota sampling
  • --each member of the population has the same equal chance of being selected as a sample --FISH BOWL NUMBER GENERATED
    SIMPLE RANDOM SAMPLING
  • --uses the kth interval formula --k= N/n N= Population n= desired sample k= sampling interval
    systematic random sampling
  • --population is divided into subgroups or strata --after stratification, appropriate number of elements are selected from each stratum at random
    stratified random sampling
  • -- useful when the population is large and widely dispersed --sampling is done in several stages
    CLUSTER SAMPLING
  • focus on single element or a single entity
    case studies
  • grounded theory by?
    glaser and strauss in 1967
  • aims to describe and interpret behavior of a certain culture
    ethnography
  • the way the members of the culture envision their own world; it is the insider's view
    emic perspective
  • is the outsiders' interpretation of the experience of that culture
    etic perspective