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   Systematic
   Convenience
   Purposive




   Population
    Genaralizability

   Ecological
    Genearalizabilit
    y
 Every nth individual in the population list is
  selected.
 eg: the principal of a school has 1000 students,
  she wants to know how students feel about the
  new menu at cafeteria, so the principal:-
 1. get a list of the student’s name (in
  alphabetical order).
 2. she select every 10th student until she has a
  sample of 100 students to be interviewed.
 PERIODICITY-a   marked bias sample caused by
  the arrangement pattern of individual on the
  list accidentally coincides with the sampling
  interval.
 eg: grouped by gpa(grade point average),


     high/low interval: only good/poor graded
           get chosen.

Therefore, researchers should carefully
 examine the list and avoid bias.
A    convenience sample is a group of
    individuals who conveniently available.

  samples:
1. first 50 people who walk in.
2. interview people at downtown.
3. two front rows students.
 Bias-
 1. not downtown = not interviewed
 2. unwilling = not interviewed
 3. willing = strong opinion
 4. interview time = at work


 Ingeneral, convenience sample cannot be
  considered representative of any population
  and should be avoided.
 Based on previous knowledge of a population and
  the specific purpose of the research,researcher
  use personal judgement to select a sample.
 eg:SUITABLE SAMPLE
 a. 2 good students,2 average & 2 weak
 b. sample from Retired Workers Association
 eg: sample know the target
 A. people in charge of school
 B. people with experience


THUS, the only challenge with purposive sampling is the
  researcher’s previous knowledge must be thorough.
 Sample  should be as large as a researcher
  can obtain with a reasonable expenditure of
  time and energy.
 Ideals;
 100 samples for DESCRIPTIVE STUDY
 50 samples for CORRELATION STUDY
 30 samples in each group for EXPERIMENTAL
  STUDY& CAUSAL-COMPARATIVE STUDY
 External Validity = the result of a study can be
  generalised from sample to population.
 Ecological generalizability = result of a study can
  be generalised to other settings.
 Population generalizability = result of study can
  be generalised to the intended population
-representativeness: relevant characteristics
Overlooked “method”-random student=random
  teacher=random result.
Lost subject effect representativeness, researcher
  who lost 10 % sample are advised to
  acknowledge this limitation.
 1. researcher should describe the sample
  thoroughly; reader judge the result validity.
 2. Replication; repeat the study on different
  group or situation. If result is the same;
  generalise it.

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Nonrandom sampling

  • 1. Systematic  Convenience  Purposive  Population Genaralizability  Ecological Genearalizabilit y
  • 2.  Every nth individual in the population list is selected.  eg: the principal of a school has 1000 students, she wants to know how students feel about the new menu at cafeteria, so the principal:-  1. get a list of the student’s name (in alphabetical order).  2. she select every 10th student until she has a sample of 100 students to be interviewed.
  • 3.  PERIODICITY-a marked bias sample caused by the arrangement pattern of individual on the list accidentally coincides with the sampling interval.  eg: grouped by gpa(grade point average), high/low interval: only good/poor graded get chosen. Therefore, researchers should carefully examine the list and avoid bias.
  • 4. A convenience sample is a group of individuals who conveniently available.  samples: 1. first 50 people who walk in. 2. interview people at downtown. 3. two front rows students.
  • 5.  Bias-  1. not downtown = not interviewed  2. unwilling = not interviewed  3. willing = strong opinion  4. interview time = at work  Ingeneral, convenience sample cannot be considered representative of any population and should be avoided.
  • 6.  Based on previous knowledge of a population and the specific purpose of the research,researcher use personal judgement to select a sample.  eg:SUITABLE SAMPLE  a. 2 good students,2 average & 2 weak  b. sample from Retired Workers Association  eg: sample know the target  A. people in charge of school  B. people with experience THUS, the only challenge with purposive sampling is the researcher’s previous knowledge must be thorough.
  • 7.  Sample should be as large as a researcher can obtain with a reasonable expenditure of time and energy.  Ideals;  100 samples for DESCRIPTIVE STUDY  50 samples for CORRELATION STUDY  30 samples in each group for EXPERIMENTAL STUDY& CAUSAL-COMPARATIVE STUDY
  • 8.  External Validity = the result of a study can be generalised from sample to population.  Ecological generalizability = result of a study can be generalised to other settings.  Population generalizability = result of study can be generalised to the intended population -representativeness: relevant characteristics Overlooked “method”-random student=random teacher=random result. Lost subject effect representativeness, researcher who lost 10 % sample are advised to acknowledge this limitation.
  • 9.  1. researcher should describe the sample thoroughly; reader judge the result validity.  2. Replication; repeat the study on different group or situation. If result is the same; generalise it.