##### RS Ch 8 Sampling- Getting your subjects
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#### Complete list of Terms and Definitions for RS Ch 8 Sampling- Getting your subjects

Terms Definitions
SYSTEMATIC SAMPLING Divides total number of elements by the number of elements to be selectedThis is the sampling intervalStarting point is determined randomly
Accessible or Experimental population: The portion of the population that has a chance to be selectedThe sample is chosen from the accessible population
CONVIENENCE SAMPLING Chosen on basis of availabilityOften used because it’s so easyCan cause significant biasParticipants often self-select
How does Disproprtional sampling affect Groups? 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
PURPOSIVE SAMPLING Participants hand picked based on specific criteriaGo out and hunt for them and beg for them to participate 
Simple random sampling Unbiased because each selection is independentThe sample is selected from the accessible populationUse random numbers table or computer for selection process
QUOTA SAMPLING Stratification is usedControls for potential confounding effect of known characteristicsGuided process to assure adequate # of participants obtained from each stratum
Sampling bias: Over or under representation of certain population attributes
Which type of Probability sampling Can provide a morre representative sample? Proportional Stratified Sampling
PROPORTIONAL STRATIFIED SAMPLING Selection based on the percentage of representation in accessible populationStratification increases precision of estimates only when the stratification variable is closely related to the variables of experimental interest
SNOWBALL SAMPLING Stage 1 – a few participants selected and testedStage 2 – these participants are asked to identify othersContinues until adequate sample is obtained
CLUSTER SAMPLING Successive random sampling of a series of units in the population (3 stages)Convenient & efficient with a large populationIncreases potential sampling error because of the 3 stages
NONPROBABILITY SAMPLING- name each of the types Convenience samplingConsecutive samplingQuota samplingPurposive samplingSnowball sampling
Population: The larger group to which results are generalizedDefined aggregate of persons, objects, or eventsCharacterized and meet a specified set of cri
Target or Reference population: The overall group to which generalizations will be made
Disproportional sampling 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
DEFINING THE POPULATION-Inclusion criteria: Primary traits of the target & accessible populationThese traits qualify someone as a participantThe more restricted the sample the harder it will be to generalize
What does probability sampling have to do with validity? Gives the greatest possible confidence in the sample’s validityThis is because it has the greatest likelihood of accurately reflecting the population’s characteristics
Nonprobability sampling: Sample chosen some way other than randomlyAll elements do not have equal chance of selectionCannot assume sample represents the target population
DEFINING THE POPULATION-Exclusion criteria: actors that preclude someone from being a participantFactors that are generally confounding factorsFactors may interfere with interpretation of results
Which type of Probability Sampliing has an area probablilty sampling (geographical), and random-digital dialing (multistage samplin of area codes and telephone exchanges) CLUSTER SAMPLING
RECRUITMENT Probably the most difficult and time consuming part of doing researchMust be well thought-out in relation to inclusion/exclusion criteriaRecruitment methods will depend on research questionMay have to get IRB approval from various facilities in orde
What does Recruitment have to do with Power? 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
PROBABILITY SAMPLING, name the different types Simple random samplingSystematic samplingStratified random samplingProportional stratified samplingDisproportional samplingCluster sampling
Sample: A subgroup of the populationServes as a reference groupUsed for estimating characteristics or drawing conclusions about the population
CONSECUTIVE SAMPLING Process of recruiting participants who meet criteria as they become availableAlso very easy but can create significant bias
STRATIFIED RANDOM SAMPLING The researcher first identifies the population characteristicsThen partitions members of population into homogeneous nonoverlapping subsets of strata based on these characteristics
Probability sampling: Samples created through random samplingSample averages = statisticsPopulation averages = parametersDifference between the 2 groups is sampling error