Recruiting Mothers of Children With Developmental Disabilities: Adaptations of the Snowball Sampling Technique Using Social Media

Lee, Jiwon; Spratling, Regena

doi:10.1016/j.pedhc.2018.09.011

Cited by 33 publications

(23 citation statements)

References 14 publications

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“…[41][42][43] For a fair comparison to the previous models, we also followed methods in PRISMA 2020 expanded checklist. 36 We also applied four approaches based on the previous methods 33, 34,39,[44][45][46][47][48] to develop the pipeline with several modifications. R packages of some approaches were developed to help future investigators for easily applying these approaches on their studies (see Methods).…”

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…62 This database also allows usage of a specific term in Medical Subject Headings (MeSH) vocabulary thesaurus from National Library of Medicine, National Institutes of Health, United States. We adapted snowball sampling method by starting from convenient sampling, 46,48 end while First, we looked for a document, denoted as 0 (Algorithm 1), using a keyword of '"Fetal Membranes, Premature Rupture"[Mesh]' from an authoritative institution as the convenient sampling step. This led to a Practice Bulletin No.…”

Section: Human Learning: Knowledge-based Causal Diagram and Statistical Learningmentioning

confidence: 99%

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Prognostication for prelabor rupture of membranes and the time of delivery in nationwide insured women: development, validation, and deployment

Sufriyana

Wu²,

Ec³

2021

Preprint

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Prognostic prediction of prelabor rupture of membrane (PROM) lacks of sample size and external validation. We compared a statistical model, machine learning algorithms, and a deep-insight visible neural network (DI-VNN) for PROM and estimating the time of delivery. We selected visits, including PROM (n=23,791/170,730), retrospectively from a nationwide health insurance dataset. DI-VNN achieved the best prediction (area under receiver operating characteristics curve [AUROC] 0.73, 95% CI 0.72 to 0.75). Meanwhile, random forest using principal components achieved the best estimation with root mean squared errors ± 2.2 and 2.6 weeks respectively for the predicted event and nonevent. DI-VNN outperformed previous models by an external validation set, including one using a biomarker (AUROC 0.641; n=1,177). We deployed our models as a web application requiring diagnosis/procedure codes and dates. In conclusion, our models may be used solely in low-resource settings or as a preliminary model to reduce a specific test requiring high-resource setting.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Human Learning: Knowledge-based Causal Diagram and Statistical Learningmentioning

confidence: 99%

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Prognostication for prelabor rupture of membranes and the time of delivery in nationwide insured women: development, validation, and deployment

Sufriyana

Wu²,

Ec³

2021

Preprint

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“…The snowball sampling technique was used for the circulation of the research questionnaire. This sampling technique of circulating questionnaire through social media platforms was an appropriate method during this pandemic which ensures the effectiveness in data collection as well as achieving randomness and diversity of respondents (Lee and Spratling 2019 ). The questionnaire was circulated between August 17, 2020, and August 30, 2020, in Malaysia.…”

Section: Methodsmentioning

confidence: 99%

COVID-19 and dynamics of environmental awareness, sustainable consumption and social responsibility in Malaysia

Ali

Parveen

Yaacob

et al. 2021

Environ Sci Pollut Res

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Despite a profound evidence of the human unsustainable behaviours’ impact on the environment, stark disparities prevail on this narrative especially in the context of the current epidemiological situation ushered by the COVID-19. The ongoing pandemic is a global public health concern due to its sagacious impacts on environmental sustainability, social responsibility and people’s quality of life. This study primarily focuses on analysing the impact of COVID-19 (COV) on the environmental awareness (EA), sustainable consumption (SC) and social responsibility (SR). Additionally, we aspire to investigate the impact of demographics of generations and religion on the proposed nexus in this study. The data was collected from 700 participants of different age groups and religious backgrounds in Malaysia, and structural equation modelling (SEM) was used to analyse this data and test the hypotheses. The findings indicate that COVID-19 has a significantly positive impact on EA, SC and SR, and the generations and religiosity moderate the relationship between COVID-19 and its impact on sustainable behaviours. This study contributes to analyse the difference in the perception of EA, SC and SR among the people that eventually will stimulate the scientific reasoning among the governments, policymakers and scientists to develop a holistic framework to combat unprecedented event such as COVID-19 and ensure the authentication of sustainable environment and exceptional quality of life. The policymakers in Malaysia may use the findings of this study to inspect the social and environmental aspects of the people during the transformation events.

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“…The samples of supply chain institutions were obtained using the snowball sampling method. The sampling technique begins with several people, then extends based on the relationships with the respondents (Sadler et al, 2010;Nurdiani, 2014;Lee and Spratling, 2019). The criteria used are supply chain institutions that buy and sell consumable garlic and have a minimum of two years trading experience.…”

Section: Methodsmentioning

confidence: 99%

The Efficiency of Garlic Supply Chain Actors Measured using Data Envelopment Analysis (DEA) Method in Karanganyar, Indonesia

Wahyuningtyas

Kusnandar

Purnomo

2020

Caraka Tani J. Sustain. Agric.

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<p>One of the obstacles to the development of agribusiness is related to supply chain management. The availability of supply is the most important factor in influencing supply chain performance. Without a stable and routine supply, supply chain performance will be disrupted. Karanganyar Regency is one of the production centers of horticultural commodities, particularly garlic. This study aimed to analyze the efficiency of each garlic supply chain actor in Karanganyar Regency. The research was conducted from March to April 2019. The efficiency of each supply chain actor in this study was measured using Data Envelopment Analysis (DEA) method. Performance measurement was done through the DEA approach and the performance attributes were input and output variables. The respondents observed were 50 farmers and 13 supply chain actors working in institutions. The samples of farmers were taken using purposive sampling technique, while the samples of supply chain actors were obtained using snowball sampling. The results have shown that the most efficient supply chain actors were retailers with an efficiency value of 1 (100%), while inefficient supply chain actors were farmers with an average efficiency value of 0.709. From a total of 50 Decision Making Unit (DMU) of total farmers, 13 DMU (26%) were efficient, while 37 DMU (74%) were inefficient and further need improvements, like using certified seeds and suitable fertilizer recommendations, as well as reducing external labor during the process of maintenance, harvesting and post-harvest. Farmers are expected to have the desire to learn from referral farmers.</p>

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Recruiting Mothers of Children With Developmental Disabilities: Adaptations of the Snowball Sampling Technique Using Social Media

Cited by 33 publications

References 14 publications

Prognostication for prelabor rupture of membranes and the time of delivery in nationwide insured women: development, validation, and deployment

Prognostication for prelabor rupture of membranes and the time of delivery in nationwide insured women: development, validation, and deployment

COVID-19 and dynamics of environmental awareness, sustainable consumption and social responsibility in Malaysia

The Efficiency of Garlic Supply Chain Actors Measured using Data Envelopment Analysis (DEA) Method in Karanganyar, Indonesia

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