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Sampling
 

Sampling

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    Sampling Sampling Presentation Transcript

    • ASMA GUL M.PHILLUNIVRSITY OF SARGODHA
    • OBJECTIVES1- TO DEFINE SAMPLING AND TYPES OF SAMPLING2-TO ENABLE THE STUDENTS TO EXPLAIN THE TYPES OF SAMPLING
    • POPULATION  ALL INDIVIDUALS WITH CERTAIN SPECIFIED CHARACTERISTICS. AN AGGREGATE OR UNIVERSE FROM WHICH 1 A SAMPLE IS DRAWN CALLED POPOULATION
    • SAMPLESAMPLE IS THE PART OF THE POPULATION,REPRESENTING THE CHARACTERISTICS OF THEWHOLE POPULATION.
    • SAMPLINGTHE PROCESS OF SELECTING A SAMPLE FROMTHE POPULATION IS CALLED SAMPLING.IT CAN BEDIVIDED INTO TWO PARTS PROBABILITY SAMPLINGAND NON PROBABILITY SAMPLING.
    • WHY SAMPLING1-IMPOSSIBLE TO OBSERVE ALL EVENTS 2-TIME 3-COST
    • PROBABILITY SAMPLINGTHIS IS ONE IN WHICH EACH PERSON IN THEPOPULATION HAS THE SAME PROBABILITY OFBEING SELECTED.
    • TYPES OF PROBABILITY SAMPLING1- RANDOM SAMPLING2-STRATIFIED SAMPLING3-SYSTEMATIC SAMPLING 4- DOUBLE SAMPLING
    • NON PROBABILITY SAMPLINGSAMPLING IN WHICH SOME ELEMENTS OFPOPULATION HAVE NO CHANCE OFSELECTION.
    • TYPES OF NON PROBABILITY SAMPLING1-CONVENIENCE SAMPLING2-PURPOSIVE SAMPLING 3-QUOUTA SAMPLING 4-SNOW BALL SAMPLING
    • RANDOM SAMPLING SELECTING SUBJECTS SO THAT ALL MEMBERS OF A POPULATION HAVE AN EQUAL AND INDEPENDENT CHANCE OF BEING SELECTED.
    • STRATIFIED SAMPLINGStratified sampling is a process in which certain subgroups or strata, are selected for the sample in the same proportion as they exist in thepopulation…
    • SYSTEMATIC SAMPLINGSELECTING EVERY NTH SUBJECT FROM ALIST OF THE POPULATION..
    • SELECTION PROCESS1-IDENTIFY AND DEFINE THE POPULATION.2-DETERMINE THE DESIRED SAMPLE SIZE.3-OBTAIN A LIST OF THE POPULATION ANDASSAIGN ASCENDING ORDER NUMBERS TO EACH MEMBER.4-START AT SOME RANDOM PLACE IN THE POPULATION LIST.
    • DOUBLE SAMPLING IF THERE IS NOT A CLEAR ACCEPT / REJECT DECISION FROM INSPECTION OF THE FIRST SAMPLE ,A SECOND SAMPLE IS TAKEN AND THE DECISION IS MADE BASED ON THE RESULTS OF THE COMBINED SAMPLES
    • CLUSTER SAMPLINGTHE SELEDCTION OF GROUPS OF INDIVIDUALSCALLED CLUSTERS,RATHER THANSINGLE INDIVIDUAL. ALL INDIVIDUALS IN A CLUSTERARE INCLUDED IN THE SAMPLE.,THE CLUSTERS ARE PREFERABLY SELECTED RANDOMLY FROM LARGEERPOPULATION OF CLUSTER.
    • CONVENIENCE SAMPLINGEASILY ACCESSIBLE SAMPLING.IN OTHERWORDS THE SELECTION OF SAMPLE IS BASEDON THE AVAILABILITY OF SUBJECTS,,VOLUNTEERS,PRE EXISTING GROUPS
    • PURPOSIVE SAMPLINGPURPOSIVE SAMPLING IS USED WHEN SELECTIONOF SAMPLE IS BASED ON THERESEARCHER’S EXPERIENCE AND KNOWLEDGE OF THE INDIVIDUALS BEING SAMPLED.
    • QUOTA SAMPLINGQUOTA SAMPLING IS USED WHENSELECTION OF SAMPLE BASED ON THE EXACTCHARACTERISTICS AND QUOTAS OF SUBJECTSAND IT IS IMPOSSIBLE TO LIST ALL MEMBERSOF POPULATION..
    • SNOWBALL SAMPLINGSNOWBALL SAMPLING YOU BEGIN BYSOMEONE WHO MEETS THE CRITERIAFOR INCLUSION IN YOUR STUDY.IN THIS SAMPLING POPULATIONIS NOT IDENTIFIED
    • THANKSGOD BLESS U
    • RANDOM TABLE22592 44213 32464 67712 35409 79203 4782268521 79866 72389 94820 27528 55963 7065873457 91616 37141 27123 83734 87343 4995962112 99093 14710 94416 55299 46090 4715943954 53567 24728 37805 51690 83475 3500533532 64508 45022 50363 34341 82407 3820997361 93347 58504 36477 75998 57435 3968266385 86275 53163 52499 27932 28191 8053096956 21119 75189 12978 73053 19387 5382777066 54231 49295 37545 72794 67049 1084279462 00161 11506 04029 26460 59167 6104402297 05097 23255 68780 32205 88816 1898381598 93752 30732 46350 26055 86939 7773078798 75594 85207 56367 42886 56772 1511566644 38614