Patchy Distributions: Optimizing Sample Size.

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Title: Patchy Distributions: Optimizing Sample Size.
Language: English
Authors: Hewitt, J. E.
Source: Environmental Monitoring and Assessment. Sep 1993 27(2-3):95-105.
Peer Reviewed: Y
Page Count: 11
Publication Date: 1993
Intended Audience: Researchers
Document Type: Guides - Non-Classroom
Journal Articles
Descriptors: Environmental Education, Environmental Research, Evaluation Methods, Higher Education, Program Evaluation, Research Design, Research Methodology, Sample Size, Sampling
ISSN: 0167-6369
Abstract: Discusses a technique for estimating sample size that does not require an a priori definition of desired precision. Presents five modifications that make the method easier to use and reduce the probability of estimating a larger sample size than necessary. The technique can guide the design of environmental sampling programs. (Contains 31 references.) (MDH)
Entry Date: 1994
Accession Number: EJ473608
Database: ERIC
FullText Text:
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  Data: Discusses a technique for estimating sample size that does not require an a priori definition of desired precision. Presents five modifications that make the method easier to use and reduce the probability of estimating a larger sample size than necessary. The technique can guide the design of environmental sampling programs. (Contains 31 references.) (MDH)
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      – Text: English
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        PageCount: 11
        StartPage: 95
    Subjects:
      – SubjectFull: Environmental Education
        Type: general
      – SubjectFull: Environmental Research
        Type: general
      – SubjectFull: Evaluation Methods
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Program Evaluation
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      – SubjectFull: Research Design
        Type: general
      – SubjectFull: Research Methodology
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      – SubjectFull: Sample Size
        Type: general
      – SubjectFull: Sampling
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      – TitleFull: Patchy Distributions: Optimizing Sample Size.
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              Y: 1993
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            – TitleFull: Environmental Monitoring and Assessment
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