A spatially stratified, multi-stage cluster sampling design for assessing accuracy of the Alaska (USA) National Land Cover Database (NLCD)

Active aging is a challenging issue to promote older population health; still, there is little clarity on research investigating the determinants of active aging in developing countries. Therefore, this research aimed to examine the factors associated with the active aging of the older populations in ASEAN’s low and middle-income countries by focusing on Malaysia, Myanmar, Vietnam, and Thailand. The study is a cross-sectional quantitative research study using multi-stage cluster sampling to randomize the sample. The sample consists of 2031 older people aged 55 years and over, including 510 Thai, 537 Malaysian, 487 Myanmar, and 497 Vietnamese. We collected a quantitative questionnaire of age-friendly environmental scale and active aging scale based on the World Health Organization (WHO) concept. The predictors of active aging include age-friendly environments, lifestyles, and socioeconomic factors; the data are analyzed by using multiple logistic regression. After adjusting for other factors, we found that older people living in a community with higher levels of age-friendly environments are 5.52 times more active than those in lower levels of age-friendly environments. Moreover, the older population with healthy lifestyles such as good dietary intake and high physical activity will be 4.93 times more active than those with unhealthy lifestyles. Additionally, older adults with partners, higher education, and aged between 55 and 64 years will be 1.70, 2.61, and 1.63 times more active than those with separate/divorce/widow, primary education, and age at 75 years or higher, respectively. Our results contribute considerable evidence for ASEAN policy-making to promote active aging in this region.

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Food Security Analysis of Smallscale Fishermen in Karanggongso, Trenggalek Regency

Economic and Social of Fisheries and Marine ◽

10.21776/ub.ecsofim.2019.006.02.06 ◽

2019 ◽

Vol 006 (02) ◽

pp. 183-193

Author(s):

Candra Adi Intyas ◽

◽

Agus Tjahjono ◽

Keyword(s):

Food Security ◽

Dietary Pattern ◽

Sampling Method ◽

Security Analysis ◽

Small Scale ◽

Cluster Sampling ◽

Fish Processing ◽

Fresh Fish ◽

Smoked Fish ◽

Multi Stage

Sea resources that open access are causing competitive competition among fishermen. This mainly affects 87.5% of small-scale fishermen in Indonesia who are commonly in poverty. The problems faced are the marketing and production institutions that have not been optimal also the mindset of fishermen who are still subsistence. One way that small-scale fishermen try to increase their income is processing fresh fish to become smoked fish (traditional methode). The purpose of this study was to analyze the level of food security of small-scale fishermen household who also do smoked fish processing activities (NKPA) compared to small-scale fishermen household who did not undertake smoked fish processing (NKNPA). The sampling method uses multi stage cluster sampling. Data analysis used an analysis of food security using the Desirable Dietary Pattern. From the results of the study on the quantity aspect, overall AKE and AKP values in NKPA were 100.71% (good category) and 119.35% (the conditions were very food-resistant) while the NKNPA were 82.58% (moderate category) and 101.50 % (the conditions were very food-resistant). In terms of quality, the calculation of Desirable Dietary Pattern consumption from NKPA had a score of 88.49 and NKNPA of 71.77 which means that the conditions are quite ideal.

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Estimating accuracy of land-cover composition from two-stage cluster sampling

Remote Sensing of Environment ◽

10.1016/j.rse.2009.02.011 ◽

2009 ◽

Vol 113 (6) ◽

pp. 1236-1249 ◽

Cited By ~ 12

Author(s):

Stephen V. Stehman ◽

James D. Wickham ◽

Lorenzo Fattorini ◽

Timothy D. Wade ◽

Federica Baffetta ◽

...

Keyword(s):

Land Cover ◽

Cluster Sampling ◽

Two Stage

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An optimal multivariate cluster sampling design

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2019.1626430 ◽

2019 ◽

Vol 49 (24) ◽

pp. 6121-6128

Author(s):

M. G. M. Khan ◽

Mahmood A. Rashid ◽

Sushita Sharma

Keyword(s):

Sampling Design ◽

Cluster Sampling ◽

Multivariate Cluster

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Moderating Effects of Teachers’ Teaching Experience on Home Learning Associated with Literacy Skills among Chinese Preschoolers

Asian Social Science ◽

10.5539/ass.v12n2p23 ◽

2016 ◽

Vol 12 (2) ◽

pp. 23

Author(s):

Chan Mei Yee ◽

Zarinah Arshat

Keyword(s):

Teaching Experience ◽

Sampling Technique ◽

Literacy Skills ◽

Cluster Sampling ◽

Moderating Effects ◽

Hierarchical Multiple Regression ◽

Multi Stage ◽

Home Learning ◽

The Relationship ◽

Over Time

<p>This study was designed to determine the influence of home learning on Chinese preschoolers’ literacy skills is likely to be moderated by the level of teacher’s teaching experience. There were 136 preschoolers aged ranged between three to six years old with their parents and teachers recruited in this study using a Multi-Stage Cluster sampling technique. The results of the Hierarchical Multiple Regression analysis indicate that teacher’s teaching experience has a significant moderating effect on the strengths of the relationship between home learning and preschoolers’ literacy skills. Further research is needed to investigate more deeply to identify whether these relationships are upheld over time and with diverse sample. </p>

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Empirical Evaluation of Social and Cultural Reproduction Theory in Acquiring Graduate Education

Review of European Studies ◽

10.5539/res.v8n3p81 ◽

2016 ◽

Vol 8 (3) ◽

pp. 81

Author(s):

Mohammad Pourdian ◽

Mohammad Hassani ◽

Afshar Kabiri

Keyword(s):

Social Capital ◽

Academic Success ◽

Social Reproduction ◽

Economic Status ◽

Pearson Correlation ◽

Empirical Evaluation ◽

Cultural Reproduction ◽

Cluster Sampling ◽

Multi Stage ◽

West Azerbaijan

<p>The purpose of this study is to empirically evaluate social and cultural reproduction theory in the pursuit of education. Thus, the theory of social reproduction, cultural reproduction and social capital have been utilized to develop the theoretical framework. The research type in regard to its goal is applied and in regard to data collection method is survey research. A questionnaire has been used to collect data. Population of this research covered all graduate students of West Azerbaijan province universities in the academic year 1392-1393 (n=9352, according to available statistics) among them 132 students were selected randomly as research sample through multi stage cluster sampling. To test the research hypotheses, Pearson correlation, multiple regression and path analysis technique have been employed. Empirical findings indicate that independent variables including socio-economic status, social capital and cultural capital affect academic success of students in pursuing higher education.</p>

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Cessation of E-Cigarette Use Among Adolescents and Its Associated Factors

Asia Pacific Journal of Public Health ◽

10.1177/1010539519854873 ◽

2019 ◽

Vol 31 (7_suppl) ◽

pp. 53S-60S ◽

Cited By ~ 2

Author(s):

Thamil Arasu Saminathan ◽

Wan Shakira Rodzlan Hasani ◽

Tania Gayle Robert Lourdes ◽

Muhammad Fadhli Mohd Yusoff ◽

Hasimah Ismail ◽

...

Keyword(s):

Associated Factors ◽

Sampling Design ◽

Multiple Logistic Regression Analysis ◽

Cross Sectional Study ◽

Cluster Sampling ◽

Cigarette Use ◽

Sectional Study ◽

Cross Sectional ◽

Complex Sampling ◽

Complex Sampling Design

We assessed the prevalence of cessation of e-cigarette and its associated factors among adolescents in Malaysia. This study analyzed data from the Tobacco and E-Cigarette Survey among Malaysian Adolescent (TECMA) in 2016, a cross-sectional study with 2-stage stratification cluster sampling. A total of 14 832 school-going adolescents aged 10 to 19 years participated in this survey. A complex sampling design and multiple logistic regression analysis were applied. Nearly half of the adolescents (49.9%; 95% confidence interval [CI] = 44.9-55.0) who had ever used e-cigarette ceased the usage. Based on multivariate analysis, adolescents were more likely to quit e-cigarette because they could not afford the e-cigarette (adjusted odds ratio [aOR] = 2.39, 95% CI = 1.78-3.20), if they are aged 13 year and older (aOR = 1.80, 95% CI = 1.25-2.61), and those who claimed their e-cigarette does not contain nicotine (aOR = 1.35, 95% CI = 1.03-1.78). E-cigarette prevention efforts among adolescents could consider the cessation factors described in this study.

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