RS Ch 8 Sampling- Getting your subjects
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| show | The larger group to which results are generalizedDefined aggregate of persons, objects, or eventsCharacterized and meet a specified set of cri
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| Sample: | show 🗑
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| Sampling bias: | show 🗑
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| show | The overall group to which generalizations will be made
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| Accessible or Experimental population: | show 🗑
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| DEFINING THE POPULATION-Inclusion criteria: | show 🗑
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| show | actors that preclude someone from being a participantFactors that are generally confounding factorsFactors may interfere with interpretation of results
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| Probability sampling: | show 🗑
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| show | Gives the greatest possible confidence in the sample’s validityThis is because it has the greatest likelihood of accurately reflecting the population’s characteristics
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| show | Sample chosen some way other than randomlyAll elements do not have equal chance of selectionCannot assume sample represents the target population
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| PROBABILITY SAMPLING, name the different types | show 🗑
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| show | Unbiased because each selection is independentThe sample is selected from the accessible populationUse random numbers table or computer for selection process
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| show | Divides total number of elements by the number of elements to be selectedThis is the sampling intervalStarting point is determined randomly
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| show | The researcher first identifies the population characteristicsThen partitions members of population into homogeneous nonoverlapping subsets of strata based on these characteristics
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| PROPORTIONAL STRATIFIED SAMPLING | show 🗑
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| Which type of Probability sampling Can provide a morre representative sample? | show 🗑
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| show | Random samples of adequate size from each category are selectedProportional weights are calculatedProbability of selection is determinedInverse of this probability is takenEach score is multiplied by this number
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| show | Group scores will be appropriately weightedGroups means won’t be affected but the relative contribution of these scores to the overall data interpretation will be controlled
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| CLUSTER SAMPLING | show 🗑
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| Which type of Probability Sampliing has an area probablilty sampling (geographical), and random-digital dialing (multistage samplin of area codes and telephone exchanges) | show 🗑
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| show | Convenience samplingConsecutive samplingQuota samplingPurposive samplingSnowball sampling
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| CONVIENENCE SAMPLING | show 🗑
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| CONSECUTIVE SAMPLING | show 🗑
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| show | Stratification is usedControls for potential confounding effect of known characteristicsGuided process to assure adequate # of participants obtained from each stratum
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| PURPOSIVE SAMPLING | show 🗑
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| SNOWBALL SAMPLING | show 🗑
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| RECRUITMENT | show 🗑
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| show | The size of the sample is important for POWER of the studyPower is the ability to find significant differences when they existThe larger the sample the greater the power to detect differences
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