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ÖRNEKLEME TEKNİKLERİ

ÖRNEKLEME TEKNİKLERİ. Neuman, 2000: CHP.8. ANA KİTLE EVREN ÖRNEKLEM ÇERÇEVESİ ÖRNEK, ÖRNEKLEM ANAKİTLE BİRİMİ ÖRNEKLEM BİRİMİ ÖRNEK BÜYÜKLÜĞÜ ÖRNEKLEM ORANI PARAMETRE İSTATİSTİK . Population Universe Sampling frame Sample Population unit Sampling unit Sample saize

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ÖRNEKLEME TEKNİKLERİ

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  1. ÖRNEKLEME TEKNİKLERİ Neuman, 2000: CHP.8

  2. ANA KİTLE EVREN ÖRNEKLEM ÇERÇEVESİ ÖRNEK, ÖRNEKLEM ANAKİTLE BİRİMİ ÖRNEKLEM BİRİMİ ÖRNEK BÜYÜKLÜĞÜ ÖRNEKLEM ORANI PARAMETRE İSTATİSTİK Population Universe Sampling frame Sample Population unit Sampling unit Sample saize Sampling ratio Parameter Statistic KAVRAMLAR

  3. ÖRNEKLEME TEKNİKLERİ • A ] YARGISAL ÖRNEKLEME Non-probability sampling • KOTA (Quota Sampling) • ÖZEL AMAÇ ÖRNEKLEMESİ(Purposive S.) • Özel durumlar için • Uç (extreme) olaylar için • KARTOPU (Snowball S.) • Convenience sampling X!X

  4. ÖZEL AMAÇ ÖRNEKLEMESİ(Purposive S.) • Özel durumlar için • Uç (extreme) olaylar için kullanılır; Tipik & genel geçerli durumlar için kullanılmaz.

  5. A B C D a b c d KOTA ÖRNEKLEMESİ ANA KİTLENİN YAPISI İÇİNDE FARKLI ÖZELLİKLER VAR ANA KİTLE ÖZELLİKLERİNİN ORANI (%) ÖRNEĞE AYNEN YANSITILIYOR

  6. KOTA ÖRNEKLEMESİ • (+) Görece düşük maliyetli. • (+) Uygulanması kolay • (-) Hata – Kategorilerilerin belirlenmesinde • Kategoriler tüm ana kitle terimlerini tüketmiyorsa • Kategoriler çakışıyorsa. • (-) Sistematik hata - Kotaların doldurulmasında

  7. ÖRNEKLEME TEKNİKLERİ • B ] OLASILIKLI ÖRNEKLEME • BASİT RASTLANTILI (simple random) • SİSTEMATİK (systematic) • KATMANLI (stratified) • KÜME (cluster) • ÇOK AŞAMALI (multi-staged) • ALAN OLASILIK ÖRNEKLEMESİ (area)

  8. BASİT RASTLANTILI ÖRNEKLEME KATMANLI ÖRNEKLEME

  9. SİSTEMATİK ÖRNEKLEME                                                                            All

  10. ÖRNEKLEM ÇERÇEVESİ: liste N = 140 n = 14 Örnekl. Oranı %10 K=140/10 = 14 Ana kitleyi 14 eşit parçaya böl. İlk parçadan b.r. olarak bir terim seç.

  11. ÖRNEKLEM ÇERÇEVESİ: harita

  12. KÜME ÖRNEKLEMESİ

  13. ÖRNEKLEM ÇERÇEVESİ: küme listesi

  14. ÖRNEK BÜYÜKLÜĞÜ http://www.surveysystem.com/sscalc.htm Determine Sample Size Find Confidence Interval

  15. http://www.surveysystem.com/sscalc.htm Sample Size Calculator Terms: Confidence Interval & Confidence Level The confidence interval is the plus-or-minus figure usually reported in newspaper or television opinion poll results. For example, if you use a confidence interval of 4 and 47% percent of your sample picks an answer you can be "sure" that if you had asked the question of the entire relevant population between 43% (47-4) and 51% (47+4) would have picked that answer. The confidence level tells you how sure you can be. It is expressed as a percentage and represents how often the true percentage of the population who would pick an answer lies within the confidence interval. The 95% confidence level means you can be 95% certain; the 99% confidence level means you can be 99% certain. Most researchers use the 95% confidence level. When you put the confidence level and the confidence interval together, you can say that you are 95% sure that the true percentage of the population is between 43% and 51%. The wider the confidence interval you are willing to accept, the more certain you can be that the whole population answers would be within that range.

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