Sampling Basics, Nonprobability and Simple Random Samples

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Presentation transcript:

Sampling Basics, Nonprobability and Simple Random Samples Chapter 15

Six-Step Procedure for Drawing a Sample Define the Target Population Step 1 Identify the Sampling Frame Step 2 Select a Sampling Procedure Step 3 Determine the Sample Size Step 4 Select the Sample Elements Step 5 Collect the Data from the Designated Elements Step 6 SLIDE 15-1

Target Population The collection of elements about which the researcher wishes to make an inference or the totality of cases that conform to some designated specifications Some possibilities: Adults Children Households Manufacturing firms Wholesalers Retailers Nonprofit institutions Credit card transactions SLIDE 15-2

The list of sampling units from which the sample will be drawn Sampling Frame The list of sampling units from which the sample will be drawn Some Possibilities: Individuals Geographic Areas Institutions Credit card transactions SLIDE 15-3

Classification of Sampling Techniques Sampling Designs Nonprobability Samples Convenience Judgment Quota Probability Samples Simple Random Stratified Proportionate Disproportionate Cluster Systematic Area SLIDE 15-4

Probability Sample A sample in which each target population element has a KNOWN, NONZERO chance of being included in the sample SLIDE 15-5

Nonprobability Sample A sample that relies on personal judgment somewhere in the selection process and therefore prohibits estimating the probability that any population element will be included in the sample. Basic Types: Convenience sample A sample that is sometimes called an accidental sample because those included in the sample enter by accident in that they just happen to be where the study is being conducted when it is being conducted. Judgment sample A sample that is sometimes called a purposive sample in that the sample elements are handpicked because they are expected to serve the research purpose. Quota Sample A sample chosen in such a way that the proportion of sample elements possessing certain characteristics is approximately the same as the proportion of the elements with the characteristics in the population; each field worker is assigned a quota that specifies the characteristics of the people he or she is to contact. SLIDE 15-6

Parent Population of Discs in an Urn B C D E F A=3 B=6 C=9 D=12 E=15 F=18 where SLIDE 15-7

Derived Population of all Possible Distinguished Samples Mean Xj 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ABC ABD ABE ABF ACD ACE ACF ADE ADF AEF BCD BCE BCF BDE BDF BEF CDE CDF CEF DEF 18 21 24 27 30 33 36 39 42 45 6 7 8 9 10 11 12 13 14 15 SLIDE 15-8

Relationship Between Parameters of Parent Population and Derived Population Element Total A B C D E F 3 6 9 12 15 18 3 + 6 + 9 + 12 + 15 + 18  Xi N Mean:  = = = 10.5 6 = Variance: 2  (Xi-)2 (3-10.5)2 + ... +(18-10.5)2 N = = 6 = 157.5 = 26.25 6 SLIDE 15-9

Relationship Between Parameters of Parent Population and Derived Population  xj j =1 Mean: 6 + 7 + ... + 15 105 E( x )  = = = = 10.5 20 20 L  ( xj j =1 - E(x))2 Variance: σ2 _ x = =(6 -10.5)2 + (7-10.5)2 + ... + (15-10.5)2 20 = 5.25 SLIDE 15-10

Distribution of Variables in Parent and Derived Population Parent Population 1 Absolute Frequency Values of X Derived Population 3 2 Absolute Frequency 1 SLIDE 15-11 Values of x

Distribution of Sample Means for Samples of Various Sizes and Different Population Distributions Parent Population - Distribution of X Derived Population - Sampling Distribution of X n=2 n=5 n=30 SLIDE 15-12

Abridged List of Random Numbers 10 09 73 25 33 76 52 01 35 86 34 67 35 48 76 80 95 90 91 17 39 29 27 49 45 37 54 20 48 05 64 89 47 42 96 24 80 52 40 37 20 63 61 04 02 00 82 29 16 65 08 42 26 89 53 19 64 50 93 03 23 20 90 25 60 15 95 33 47 64 35 08 03 36 06 99 01 90 25 29 09 37 67 07 15 38 31 13 11 65 88 67 67 43 97 04 43 62 76 59 12 80 79 99 70 80 15 73 61 47 64 03 23 66 53 98 95 11 68 77 12 17 17 68 33 66 06 57 47 17 34 07 27 68 50 36 69 73 61 70 65 81 33 98 85 11 19 92 91 70 31 06 01 08 05 45 57 18 24 06 35 30 34 26 14 86 79 30 74 39 23 40 30 97 32 85 26 97 76 02 02 05 16 56 92 68 66 57 48 18 73 05 38 52 47 18 62 38 85 79 63 57 33 21 35 05 32 54 70 48 90 55 35 65 48 28 46 82 87 09 83 49 12 56 24 73 79 64 57 53 03 52 96 47 78 35 80 83 42 82 60 93 52 03 44 35 27 38 84 35 98 52 01 77 67 14 90 56 86 07 22 10 94 05 58 60 97 09 34 33 50 50 07 39 98 11 80 50 54 31 39 80 82 77 32 50 72 56 82 48 29 40 52 42 01 52 77 56 78 51 83 45 29 96 34 06 28 89 80 83 13 74 67 00 78 18 47 54 06 10 68 71 17 78 17 88 68 54 02 00 86 50 75 84 01 36 76 66 79 51 90 36 47 64 93 29 60 91 10 62 99 59 46 73 48 87 51 76 49 69 91 82 60 89 28 93 76 56 13 68 23 47 83 41 13 65 48 11 76 74 17 46 85 09 50 58 04 77 69 74 73 03 95 71 86 40 21 81 65 44 80 12 43 56 35 17 72 70 80 15 45 31 82 23 74 21 11 57 82 53 14 38 55 37 63 74 35 09 98 17 77 40 27 72 14 43 23 60 02 10 45 52 16 42 37 96 28 60 26 55 69 91 62 68 03 66 25 22 91 48 36 93 68 72 03 76 62 11 39 90 94 40 05 64 18 09 89 32 05 05 14 22 56 85 14 46 42 75 67 88 96 29 77 89 22 54 38 21 45 98 81 49 91 45 23 68 47 02 76 86 46 16 28 35 54 94 75 08 99 23 37 08 92 00 48 SLIDE 15-13