Multistage clustered sampling is often used in contexts where simple random sampling like we talked about in the previous module is simply too expensive or too logistically complex. Then using a cumulative list of all clusters, at the first stage 30 or more are selected with PPS sampling. First stage: PPS sampling → larger clusters have bigger probability of being sampled Second stage: Sampling exactly the same number of individuals per cluster → individuals in large clusters have smaller probability of being sampled Overall: Second stage compensates first stage, so that each individual in the population has the same probability of being sampled 1. - Choose a sample of clusters according to some procedure. Snowball sampling Pemilihan sampel berdasarkan rekomendasi dari responden sebelumnya. Riset kualitatif. In cluster sampling - divide the whole population into clusters according to some well-defined rule. Dapat diterapkan untuk populasi kecil. The basic problem is that, if we're thinking about say, a nationally representative household survey with in-person visits. Since cluster sampling and stratified sampling are pretty similar, there could be issues with understanding their finer nuances. Let me explain why. Sampling ini digunakan biasanya untuk riset eksplanatory atau uji coba kuesioner. Cluster sampling vs stratified sampling. populasi terdapat 30 laporan keuangan, maka setiap laporan keuangan tersebut adalah unsur atau elemen penelitian. Pertimbangan representatif:-- pertimbangan yang menyangkut jumlah … Syarat sampel • Akurasi atau ketepatan , yaitu tingkat ketidakadaan “bias” (kekeliruan) dalam sampel. Program Pascasarjana Kependidikan Universitas Mulawarman PARADIGMA KUANTITATIF Enumerative induction: suatu ... – A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow.com - id: 5bd106-YjU0M At the second stage, a constant number of people or HHs is selected in each of the 30 or more clusters, either by SRS, or by random start HH and next nearest neighbor HHs. The method of cluster sampling or area sampling can be used in such situations. 4. BESAR SAMPEL Pertimbangan pokok: 1. Arial Wingdings Verdana Symbol Times New Roman Mathematica1 Stream Balloons 1_Stream 1_Balloons Microsoft Equation 3.0 Slide 1 Important statistical terms Why sampling? Cluster Sampling Cluster Sample: a probability sample in which each sampling unit is a collection of elements. Hence, the major differences between cluster sampling and stratified sampling, are: Cluster sampling : Stratified sampling : Elements of a population are randomly selected to be a part of groups (clusters). Penggunaannya terbatas untuk situasi tertentu. TEKNIK PENGAMBILAN SAMPEL (SAMPLING) Dr. Susilo, M.Pd. • Kerangka sampling adalah daftar yang berisikan setiap elemen populasi yang bisa diambil sebagai sampel. - Treat the clusters as sampling units.

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