scholarly journals Intracluster Homogeneity Selection Problem in a Business Survey

2016 ◽  
Vol 7 (2) ◽  
pp. 91-103 ◽  
Author(s):  
Berislav Žmuk
Keyword(s):  
Sampling Design ◽  
Cluster Sampling ◽  
Two Stage ◽  
Optimal Value ◽  
Precision Level ◽  
Survey Costs ◽  
Key Variables ◽  
Business Survey ◽  
Sampling Approach ◽  
Key Questions

Abstract Background: In the cluster sampling approach many parameters have influence on lowering the survey costs and one of the most important is the intracluster homogeneity. Objectives: The goal of the paper is to find the most optimal value of intracluster homogeneity in case when two or more questions or variables have a key role in the research. Methods/Approach: Five key variables have been selected from a business survey conducted in Croatia and results for the two-stage cluster sampling design approach were simulated. The calculated intracluster homogeneity values were compared among all the five observed questions and survey costs and precision levels were inspected. Results: In the new cluster sampling design, for the fixed precision level, the lowest survey costs would be achieved by using the intracluster homogeneity value which is the closest to the average intracluster homogeneity value among all the key questions. Similar results were obtained when survey costs were held fixed. Conclusions: If there is more than one key question in the survey, then the best solution would be to use an average intracluster homogeneity value. However, one should notice that in that case minimum survey costs would not be reached, but the precision levels would increase at all key questions.

Validity of a two-stage cluster sampling design to estimate the total number of owned dogs

2018 ◽  
Vol 151 ◽  
pp. 40-45 ◽  
Author(s):  
Oswaldo Santos Baquero ◽  
Marcos Amaku ◽  
Ricardo Augusto Dias ◽  
José Henrique Hildebrand Grisi Filho ◽  
José Soares Ferreira Neto ◽  
...  
Keyword(s):  
Sampling Design ◽  
Cluster Sampling ◽  
Two Stage

scholarly journals Adaptive two-stage inverse sampling design to estimate density, abundance, and occupancy of rare and clustered populations

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255256
Author(s):  
Mohammad Salehi ◽  
David R. Smith
Keyword(s):  
Binary Data ◽  
Sampling Design ◽  
A Priori ◽  
Cluster Sampling ◽  
Adaptive Cluster Sampling ◽  
Inverse Sampling ◽  
Two Stage ◽  
Population Total ◽  
Unbiased Estimators ◽  
Final Sample

Sampling rare and clustered populations is challenging because of the effort required to find rare units. Heuristically, a practitioner would prefer to discontinue sampling in areas where rare units of interest are apparently extremely sparse or absent. We take advantage of the characteristics of inverse sampling to adaptively inform practitioners when it is efficient to move on to sample new areas. We introduce Adaptive Two-stage Inverse Sampling (ATIS), which is designed to leave a selected area after observation of an a priori number of only non-rare units and to continue sampling in the area when rare units are observed. ATIS is efficient in many cases and yields more rare units than conventional sampling for a rare and clustered population. We derive unbiased estimators of population total and variance. We also introduce an easy-to-compute estimator, which is nearly as efficient as the unbiased estimator. A simulation study on a rare plant population of buttercups (Ranunculus) shows that ATIS even with the easy-to-compute estimator is more efficient than its conventional sampling counterparts and is more efficient than Two-stage Adaptive Cluster Sampling (TACS) for small and moderate final sample sizes. Additional simulations reveal that ATIS is efficient for binary data (e.g., presence or absence) whereas TACS is inefficient for binary data. The overall results indicate that ATIS is consistently efficient compared to conventional sampling and to adaptive cluster sampling in some important cases.

scholarly journals Two-stage mental health survey of first-line medical staff after ending COVID-19 epidemic assistance and isolation

2021 ◽  
Author(s):  
Li Xu ◽  
Dingyun You ◽  
Chengyu Li ◽  
Xiyu Zhang ◽  
Runxu Yang ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Medical Staff ◽  
Psychological Intervention ◽  
Psychological Status ◽  
Vulnerable Groups ◽  
Cluster Sampling ◽  
Cross Sectional Survey ◽  
Two Stage ◽  
Cross Sectional

AbstractFacing with COVID-19 epidemic such a catastrophic health emergency, the mental health status of medical staff deserves attention. We conducted a two-stage of psychological status monitoring after the end of the assistance and 14 days of isolation, further targeted the vulnerable groups in need of intervention. The study is a cross-sectional survey on 1156 Yunnan medical staff aid to Hubei. Used Cluster sampling method to collect data at 2 time points (at the end of returning from Wuhan and the 14th day of isolation), from March 18, 2020 to April 6, 2020. Female and nurse had higher rates of depressive symptoms than male and doctors and other occupations. The proportion of female with mild and above moderate anxiety levels (22.91%, 2.61%) was higher than male (17.35%, 1.03%) (p < 0.05). Female had a better impaired sleep quality (45.06%, 17.49%) more than male (28.57%, 7.94%). Medical staff supported in Wuhan and with junior professional titles reported a higher proportion of sleep quality impairment. At the 14th isolation day stage, the proportion of nurses changed from depression to health (9.15%) and from health to depression (6.1%) better than doctors. The front-line medical staffs had suffered greater psychological pressure in the treatment process of major public health emergency. Researches on the dynamic monitor for the change of psychological status after aiding epidemic areas were still in relatively blank stage. Targeting the vulnerable characteristics of aiding medical staff is significant for effective psychological intervention and sustainable operation of health system.

scholarly journals Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome

Biometrics ◽  
2010 ◽  
Vol 67 (1) ◽  
pp. 194-202 ◽  
Author(s):  
Haibo Zhou ◽  
Rui Song ◽  
Yuanshan Wu ◽  
Jing Qin
Keyword(s):  
Statistical Inference ◽  
Sampling Design ◽  
Two Stage ◽  
Continuous Outcome

scholarly journals PERAN EFIKASI DIRI DAN MOTIVASI INTRINSIK TERHADAP RESILIENSI ORANGTUA DENGAN ANAK BERKEBUTUHAN KHUSUS PADA SEKOLAH LUAR BIASA (SLB) DI BALI

2018 ◽  
Vol 4 (02) ◽  
pp. 347
Author(s):  
Ni Nyoman Tri Marheni Wulandari ◽  
Drs. Supriyadi
Keyword(s):  
Cluster Sampling ◽  
Two Stage ◽  
Probability Sampling

Resiliensi adalah kemampuan seseorang untuk menilai, mengatasi, dan meningkatkan diri ataupun mengubah dirinya dari keterpurukan atau kesengsaraan dalam hidup yang membuat seseorang berhasil menyesuaikan diri dalam berhadapan dengan kondisi yang tidak menyenangkan. Kemampuan resiliensi dipengaruhi oleh keyakinan individu terhadap kemampuan yang dimiliki dalam menjalani suatu tugas. Di samping itu dorongan dari dalam diri individu untuk menjalani suatu tugas juga dapat mengembangkan kemampuan untuk beradaptasi dari keterpurukan. Penelitian ini bertujuan untuk melihat peran efikasi diri dan motivasi intrinsik terhadap resiliensi orangtua dengan anak berkebutuhan khusus pada Sekolah Luar Biasa (SLB) di Bali. Subjek penelitian ini adalah 78 orangtua dengan anak berkebutuhan khusus pada SLB di Bali. Teknik pengambilan sampel yang digunakan adalah two stage cluster sampling dalam probability sampling. Instrumen penelitian ini adalah skala resiliensi, skala efikasi diri dan skala motivasi intrinsik. Hasil yang diperoleh dari analisis regresi ganda menunjukkan nilai R=0,686 (p<0,05) dan koefisien determinasi sebesar 0,471, dengan demikian dapat disebutkan bahwa efikasi diri dan motivasi intrinsik secara bersama-sama berperan sebesar 47,1%  dalam menjelaskan varian resiliensi orangtua dengan anak berkebutuhan khusus. Koefisien beta efikasi diri sebesar 0,340 dan siginifikansi 0,008 (p<0,05) menunjukkan efikasi diri ,berperan terhadap resliensi. Koefisien beta motivasi intrinsik sebesar 0,473 dan signifikansi 0,000(p<0,05) menunjukkan motivasi intrinsik berperan dalam menjelaskan varian resiliensi. Hal ini menunjukkan setiap kenaikan 0,340 pada efikasi diri dan 0,473 pada motivasi intrinsik, terjadi peningkatan 1 poin pada resiliensi orangtua dengan anak berkebutuhan khusus pada SLB di Bali.   Kata Kunci: resiliensi, efikasi diri, motivasi intrinsik, orangtua dengan anak berkebutuhan khusus

scholarly journals Pengaruh Informasi Kesetaraan Gender pada Suplemen "Geulis" Harian Umum Pikiran Rakyat terhadap Persepsi Pembaca tentang Kesetaraan Gender

2012 ◽  
Vol 15 (2) ◽  
pp. 171-182
Author(s):  
Nila Nurlimah
Keyword(s):  
Cluster Sampling ◽  
Two Stage

Maraknya perilaku yang melecehkan kaum perempuan banyak terjadi akhir-akhir ini. Kondisi ini menuntut upaya pemberdayaan terhadap kaum perempuan untuk lebih dioptimalkan lagi. Persepsi positif mengenai kesetaraan gender pada gilirannya akan mewujudkan kesadaran terhadap motif perempuan dalam memberdayakan dirinya. Tujuan dari penelitian ini adalah untuk menentukan pengaruh informasi tentang kesetaraan gender dalam suplemen “Geulis” dalam Harian Umum Pikiran Rakyat terhadap persepsi pembaca tentang kesetaraan gender di Kota Bandung. Populasinya adalah pembaca Harian Umum Pikiran Rakyat di Kota Bandung, teknik penarikan sampel dilakukan secara two stage cluster sampling. Penelitian ini menyimpulkan bahwa persepsi pembaca tentang kesetaraan gender dipengaruhi oleh informasi tentang kesetaraan gender pada suplemen “Geulis” HU Pikiran Rakyat.

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