Description of methods and sources for Albania - INSTAT
Description of methods and sources for Albania - INSTAT Description of methods and sources for Albania - INSTAT
IPA 2009 Multi-beneficiary StatisticalCooperation ProgrammeBeing careful in designing the frame The basic principle used in designing the newframe was to not exclude any piece of land during the stratification process as well asnot include it more than once in a stratum. During the process of area measurementimportance was attached to the statistical rules to minimize sample and non sampleerrors. The primary criterion was to accurately identify PSU-s /segments throughphysical boundaries in order to minimize non-sample errors during data collectionprocess.Designing the FrameDefining the Strata: Land use: intensity was used as the basic criteria in splittingthe country into strata. Strata were identified by using the following criteria:Stratum 1 -- Zones with land use intensity of 75% or higher;Stratum 2 -- Zones with land use intensity of 25 - 74.99%;Stratum 3 -- Zones with land use intensity under 25%;Stratum 4 -- Zones with land use which is essentially nil;Stratum 5 -- Military zones;Stratum 6 -- Major cities;Stratum 7 -- Lakes and other bodies of water.Strata 5 through 7 were not included as part of the frame when conducting theSurvey.Strata Boundaries:- Main roads- Secondary roads,- Railways,- Rivers- Permanent streams,- Temporary streams,- Canals,- Telephone and high tension lines etc.The frame was designed in each prefecture by using the following steps:1. Strata identification on maps2. Splitting strata into PSU-s; two important elements are homogeneityand the real identifying boundaries.3. Numbering the PSU-s in serpentine grids from North and East.4. Digitizing and processing of information on the computer, was doneby using the same procedure as with PSU-s.5. Selecting the sample PSU-s for later splitting into segments:192/236
IPA 2009 Multi-beneficiary StatisticalCooperation ProgrammeSample Segment Identification on map and groundThe total segment sampling size set at 400 segments based on an assessment of thecapabilities of the Ministry to collect and process quality data and the requiredprecision of estimates.As a first step, this total sample size had been chosen; the first step in allocating thesample to strata was the calculation of standard deviations by strata for arepresentative number of crops and livestock.The second step was the allocation of the 400 sample segments between strata usingthe Newman optimum allocation procedure.The last step was the allocation of segments by strata between Prefectures (definingthe number of segments for each prefecture). The sample segments were thensummed across Prefectures to insure a minimum sample 20 - 30 at Prefecture level.Segment selectionIn a PSU worksheet required for each Prefecture which lists each area (hectare) thecalculated number of segments for each PSU, and the accumulated number ofsegments for each stratum. The samples of PSU-s were defined by using systematicselection with random start. The sampling interval was defined by dividing theaccumulated segment number for each stratum (total segments) by stratum number ofsample segments.Identification of segments in mapSegment location was identified by using 1:100000 maps and the procedure is thesame as with PSU-s.Digitizing and processing of segmentsDigitizing and processing of segments was done by using the same procedure as withPSU-s.Identification of segments in ground and list of farmersAfter identification, the selected segments in the map defined whether farmingactivities or dwelling units were located in them. A complete list of farmers wasprepared which was used as the secondary sample and then selected the 6 farmerswith randomly systematic activities.193/236
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IPA 2009 Multi-beneficiary StatisticalCooperation ProgrammeSample Segment Identification on map <strong>and</strong> groundThe total segment sampling size set at 400 segments based on an assessment <strong>of</strong> thecapabilities <strong>of</strong> the Ministry to collect <strong>and</strong> process quality data <strong>and</strong> the requiredprecision <strong>of</strong> estimates.As a first step, this total sample size had been chosen; the first step in allocating thesample to strata was the calculation <strong>of</strong> st<strong>and</strong>ard deviations by strata <strong>for</strong> arepresentative number <strong>of</strong> crops <strong>and</strong> livestock.The second step was the allocation <strong>of</strong> the 400 sample segments between strata usingthe Newman optimum allocation procedure.The last step was the allocation <strong>of</strong> segments by strata between Prefectures (definingthe number <strong>of</strong> segments <strong>for</strong> each prefecture). The sample segments were thensummed across Prefectures to insure a minimum sample 20 - 30 at Prefecture level.Segment selectionIn a PSU worksheet required <strong>for</strong> each Prefecture which lists each area (hectare) thecalculated number <strong>of</strong> segments <strong>for</strong> each PSU, <strong>and</strong> the accumulated number <strong>of</strong>segments <strong>for</strong> each stratum. The samples <strong>of</strong> PSU-s were defined by using systematicselection with r<strong>and</strong>om start. The sampling interval was defined by dividing theaccumulated segment number <strong>for</strong> each stratum (total segments) by stratum number <strong>of</strong>sample segments.Identification <strong>of</strong> segments in mapSegment location was identified by using 1:100000 maps <strong>and</strong> the procedure is thesame as with PSU-s.Digitizing <strong>and</strong> processing <strong>of</strong> segmentsDigitizing <strong>and</strong> processing <strong>of</strong> segments was done by using the same procedure as withPSU-s.Identification <strong>of</strong> segments in ground <strong>and</strong> list <strong>of</strong> farmersAfter identification, the selected segments in the map defined whether farmingactivities or dwelling units were located in them. A complete list <strong>of</strong> farmers wasprepared which was used as the secondary sample <strong>and</strong> then selected the 6 farmerswith r<strong>and</strong>omly systematic activities.193/236