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Articles 80311 - 80335 of 80335
Full-Text Articles in Entire DC Network
Interest In Over-The-Counter Progestin-Only Pills Among Transgender, Nonbinary, And Gender-Expansive Individuals In The United States, Kate Grindlay, Juno Obedin-Maliver, Sachiko Ragosta, Jen Hastings, Mitchell R. Lunn, Annesa Flentje, Matthew R. Capriotti, Zubin Dastur, Micah E. Lubensky, Heidi Moseson
Interest In Over-The-Counter Progestin-Only Pills Among Transgender, Nonbinary, And Gender-Expansive Individuals In The United States, Kate Grindlay, Juno Obedin-Maliver, Sachiko Ragosta, Jen Hastings, Mitchell R. Lunn, Annesa Flentje, Matthew R. Capriotti, Zubin Dastur, Micah E. Lubensky, Heidi Moseson
Faculty Research, Scholarly, and Creative Activity
Background: In July 2023, the US Food and Drug Administration approved the first nonprescription oral contraceptive, a progestin-only pill, in the United States. Transgender, nonbinary, and gender-expansive people assigned female or intersex at birth face substantial contraceptive access barriers and may benefit from over-the-counter oral contraceptive access. However, no previous research has explored their perspectives on this topic. Objective: This study aimed to measure interest in over-the-counter progestin-only pill use among transgender, nonbinary, and gender-expansive individuals assigned female or intersex at birth. Study Design: We conducted an online, cross-sectional survey from May to September 2019 (before the US Food and …
Fuzzy Similarity Analysis Of Effective Training Samples To Improve Machine Learning Estimations Of Water Quality Parameters Using Sentinel-2 Remote Sensing Data, Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Ali Mehran, Mohsen Jafari, Amir Masoud Chegoonian
Fuzzy Similarity Analysis Of Effective Training Samples To Improve Machine Learning Estimations Of Water Quality Parameters Using Sentinel-2 Remote Sensing Data, Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Ali Mehran, Mohsen Jafari, Amir Masoud Chegoonian
Faculty Research, Scholarly, and Creative Activity
Continuous monitoring of water quality parameters (WQPs) is crucial due to the global degradation of water quality, primarily caused by climate change and population growth. Typically, machine learning (ML) models are employed to retrieve WQPs, but they require a large amount of training samples to accurately capture the data relationships. Even with sufficient training data, discrepancies still exist between values of predicted and in-situ WQPs. This study proposes a fuzzy similarity analysis (FSA) technique to enhance ML estimates of WQPs by using the prediction errors in effective training samples. The method was successfully applied to retrieve turbidity (Turb) and specific …
Potential Use Of Poultry Farms By Wild Waterfowl In California's Central Valley Varies Across Space, Times Of Day, And Species: Implications For Influenza Transmission Risk, Claire S. Teitelbaum, Michael L. Casazza, Cory T. Overton, Jeffery D. Sullivan, Elliott L. Matchett, Fiona Mcduie, Austen A. Lorenz, Joshua T. Ackerman, Susan E.W. De La Cruz, Diann J. Prosser
Potential Use Of Poultry Farms By Wild Waterfowl In California's Central Valley Varies Across Space, Times Of Day, And Species: Implications For Influenza Transmission Risk, Claire S. Teitelbaum, Michael L. Casazza, Cory T. Overton, Jeffery D. Sullivan, Elliott L. Matchett, Fiona Mcduie, Austen A. Lorenz, Joshua T. Ackerman, Susan E.W. De La Cruz, Diann J. Prosser
Faculty Research, Scholarly, and Creative Activity
Interactions between wildlife and livestock can lead to cross-species disease transmission, which incurs economic costs and threatens wildlife conservation. Wild waterfowl are natural hosts of avian influenza viruses (AIVs), are often abundant near poultry farms, and have been linked to outbreaks of AIVs in poultry. Interspecific and seasonal variation in waterfowl movement and habitat use means that the risk of disease transmission between wild birds and poultry inevitably varies across species, space, and time. Here, we used GPS telemetry data from 10 waterfowl species in and near California's Central Valley, a region where both wild waterfowl and domestic poultry are …
Effects Of The Sacramento Neighborhood Alcohol Prevention Project On Rates Of Child Abuse And Neglect 7 Years Post-Implementation (1999–2010), Bridget Freisthler, Jennifer Price Wolf
Effects Of The Sacramento Neighborhood Alcohol Prevention Project On Rates Of Child Abuse And Neglect 7 Years Post-Implementation (1999–2010), Bridget Freisthler, Jennifer Price Wolf
Faculty Research, Scholarly, and Creative Activity
Introduction: Evaluations of alcohol environmental prevention efforts examine short-term effects of these interventions on alcohol-related problems. We examine whether the effects of the Sacramento Neighborhood Alcohol Prevention Project (SNAPP), an alcohol environmental intervention aimed to reduce alcohol-related problems in two neighbourhoods, on child abuse and neglect remained 7 years post-implementation. Methods: SNAPP used a quasi-experimental non-equivalent control group design, where intervention activities occurred in the South area, followed by those in the North area 2 years later. Our sample size is 3912 space–time units (326 census block groups × 12 years [1999–2010]). Outcomes were measured at the household level and …
Lessons From A Professional Learning Community: Navigating Tensions While Moving Between Theory And Practice In Teaching Chemistry For Social Justice, Kathryn Ribay
Faculty Research, Scholarly, and Creative Activity
Maintaining a commitment to social justice teaching can be especially challenging when navigating the bureaucratic systems and ever-spiraling responsibilities of the education system. To better understand how social-justice-oriented educators navigate these tensions, this paper uses qualitative methods to investigate the social justice problems of practice identified by five chemistry teachers in a year-long professional learning community. By analyzing the challenges described in their problem-posing segments, I identify seven major themes that represent key sources of tension and possibility as teachers move from theory to practice in teaching chemistry for social justice. These findings indicate that the practical considerations of day-to-day …
Access To Digital Finance: Equity Crowdfunding Across Countries And Platforms, Saul Estrin, Susanna Khavul, Alexander S. Kritikos, Jonas Löher
Access To Digital Finance: Equity Crowdfunding Across Countries And Platforms, Saul Estrin, Susanna Khavul, Alexander S. Kritikos, Jonas Löher
Faculty Research, Scholarly, and Creative Activity
Financing entrepreneurship spurs innovation and economic growth. Digital financial platforms that crowdfund equity for entrepreneurs have emerged globally, yet they remain poorly understood. We model equity crowdfunding in terms of the relationship between the number of investors and the amount of money raised per pitch. We examine heterogeneity in the average amount raised per pitch that is associated with differences across three countries and seven platforms. Using a novel dataset of successful fundraising on the most prominent platforms in the UK, Germany, and the USA, we find the underlying relationship between the number of investors and the amount of money …
Conditional Variational Transformer For Bearing Remaining Useful Life Prediction, Yupeng Wei, Dazhong Wu
Conditional Variational Transformer For Bearing Remaining Useful Life Prediction, Yupeng Wei, Dazhong Wu
Faculty Research, Scholarly, and Creative Activity
Transformer, built on the self-attention mechanism, has been demonstrated to be effective in numerous applications. However, in the context of prognostics and health management, the self-attention mechanism in the Transformer is not effective in selecting the most important features that are highly correlated with the remaining useful life (RUL) of a component. To address this issue, we developed a novel conditional variational transformer architecture consisting of four networks: two generative networks and two predictive networks. The first generative network uses the transformer encoder–decoder as well as both condition monitoring data and RUL as input to extract the most important features …
Enhancing Diagnostic Accuracy: A Hybrid Approach To Mitigate Speckle And Rician Noise In Medical Images, Naveenkumar Jayakumar, Saurabh Saoji, Sagar V. Joshi, Hemlata Mane, Roshni Narkhede, Shrikant Jadhav
Enhancing Diagnostic Accuracy: A Hybrid Approach To Mitigate Speckle And Rician Noise In Medical Images, Naveenkumar Jayakumar, Saurabh Saoji, Sagar V. Joshi, Hemlata Mane, Roshni Narkhede, Shrikant Jadhav
Faculty Research, Scholarly, and Creative Activity
This research explores the detrimental effects of Rician and speckle noise in medical imaging, particularly within MRI and radiographic modalities. Such noise can significantly obscure critical details, potentially leading to misdiagnoses and inaccurate measurements. Rician noise candidly dangles on the signal strength. Removing this noise affects the origial information in image that makes this noise removal perplexing. On other hand speckle noise is visualised like granular clog in ultrasound imageries. It creates ambiguous details and edges in the images. To address this challenge, the study introduces a novel hybrid method implemented in Java. The method employs a frequency-based decomposition approach …
Outil D’Autodiagnostic (Audit) Pour Le Contenu D’Un Programme De Contrôle Des Énergies (Cadenassage Et Autres Méthodes), Damien Burlet-Vienney, Laurent Giraud, René Dufresne
Outil D’Autodiagnostic (Audit) Pour Le Contenu D’Un Programme De Contrôle Des Énergies (Cadenassage Et Autres Méthodes), Damien Burlet-Vienney, Laurent Giraud, René Dufresne
Guides
No abstract provided.
Information Handbook On Suicide Prevention In Police Officers, Laurent Corthésy-Blondin, Marie-Hélène Poirier, Christine Genest
Information Handbook On Suicide Prevention In Police Officers, Laurent Corthésy-Blondin, Marie-Hélène Poirier, Christine Genest
Guides
No abstract provided.
Use Or Not: A Qualitative Study On The User Adoption And Abandonment Of Voice Shopping With Smart Speakers, Jiahe Lan, Yu Chen, Zheng Yan
Use Or Not: A Qualitative Study On The User Adoption And Abandonment Of Voice Shopping With Smart Speakers, Jiahe Lan, Yu Chen, Zheng Yan
Faculty Research, Scholarly, and Creative Activity
The recent advances in smart speakers impel the emergence and prevalence of voice shopping - placing orders on voice assistants. Previous work has studied user acceptance of voice shopping and the factors influencing users' experience of voice shopping. However, despite the growing interest in the use of voice shopping, little is known about the limited usage or abandonment of voice shopping. In this paper, we address this research gap through a qualitative study of 43 users of Tmall Genie, a smart speaker popular in China. We found that participants are willing to make low-involvement purchases via voice shopping. However, after …
Cross-Cultural Adaptation Of The Voice-Related Experiences Of Nonbinary Individuals - Veni To Brazilian Portuguese, Isabela Dos Santos, Mara Behlau, Grace Shefcik, Pei Tzu Tsai, Vanessa Veis Ribeiro
Cross-Cultural Adaptation Of The Voice-Related Experiences Of Nonbinary Individuals - Veni To Brazilian Portuguese, Isabela Dos Santos, Mara Behlau, Grace Shefcik, Pei Tzu Tsai, Vanessa Veis Ribeiro
Faculty Research, Scholarly, and Creative Activity
Purpose: This study aimed to translate and cross-culturally adapt the “Voice-related Experiences of Nonbinary Individuals” (VENI) to Brazilian Portuguese (BP). Methods: Cross-cultural adaptation was performed based on the combined guidelines of the World Health Organization’s (WHO) Translation Recommendations and the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). The process included five stages: a) Translation of the instrument into BP by a translator specialized in the construct and a non-specialist, both native BP speakers and fluent in English; b) Synthesis of the two translations by consensus; c) Back-translation by a translator specialized in the construct and a non-specialist, …
Fpdclustering: A Comprehensive R Package For Probabilistic Distance Clustering Based Methods, Cristina Tortora, Francesco Palumbo
Fpdclustering: A Comprehensive R Package For Probabilistic Distance Clustering Based Methods, Cristina Tortora, Francesco Palumbo
Faculty Research, Scholarly, and Creative Activity
Data clustering has a long history and refers to a vast range of models and methods that exploit the ever-more-performing numerical optimization algorithms and are designed to find homogeneous groups of observations in data. In this framework, the probability distance clustering (PDC) family methods offer a numerically effective alternative to model-based clustering methods and a more flexible opportunity in the framework of geometric data clustering. Given nJ-dimensional data vectors arranged in a data matrix and the number K of clusters, PDC maximizes the joint density function that is defined as the sum of the products between the distance and the …
Anti-Trafficking And Humanitarian Operations: Transferring Learnings For A Better World, Kezban Yagci Sokat, Maria Besiou
Anti-Trafficking And Humanitarian Operations: Transferring Learnings For A Better World, Kezban Yagci Sokat, Maria Besiou
Faculty Research, Scholarly, and Creative Activity
Purpose: The purpose of this study is twofold: first, to draw insights from the rich literature on humanitarian operations efforts to combat human trafficking; second, to inspire humanitarian operations researchers to work more on human anti-trafficking. Design/methodology/approach: This is a conceptual paper inspired by recent relevant reports, the academic literature and the authors’ years of involvement in both humanitarian operations and anti-trafficking. Findings: Humanitarian supply chains and human trafficking supply chains very often operate in the same environments and hence face similar challenges. The paper highlights the overlaps between the two domains and demonstrates how two decades of learnings from …
Comparison Of Different Drought Monitoring Indices In Different Climatic Conditions In Iran, Samira Rahnama, Ali Shahidi, Mostafa Yaghoobzadeh, Ali Akbar Mehran
Comparison Of Different Drought Monitoring Indices In Different Climatic Conditions In Iran, Samira Rahnama, Ali Shahidi, Mostafa Yaghoobzadeh, Ali Akbar Mehran
Faculty Research, Scholarly, and Creative Activity
This study evaluates drought in different climate zones (Rasht, Shiraz, and Birjand) in Iran, using meteorological, agricultural, and remote sensing drought indices. For this purpose, NDVI, SAVI, and SR were extracted from Landsat images for 2002 and 2014–2020. Then, these indices were compared with the SPI, SPEI, and PDSI. The results indicate an increase in drought and a decrease in vegetation cover in the study area. In Rasht, where the vegetation cover is high, NDVI and SAVI were equal. In Shiraz and Birjand, where the soil effect is more significant, the distance between these two indices increased, which shows that …
Covid-19 Vaccination-Related Tinnitus Is Associated With Pre-Vaccination Metabolic Disorders, Weihua Wang, Anusha Yellamsetty, Robert M. Edmonds, Shaun R. Barcavage, Shaowen Bao
Covid-19 Vaccination-Related Tinnitus Is Associated With Pre-Vaccination Metabolic Disorders, Weihua Wang, Anusha Yellamsetty, Robert M. Edmonds, Shaun R. Barcavage, Shaowen Bao
Faculty Research, Scholarly, and Creative Activity
Cases of tinnitus have been reported following administration of COVID-19 vaccines. The aim of this study was to characterize COVID-19 vaccination-related tinnitus to assess whether there is a causal relationship, and to examine potential risk factors for COVID-19 vaccination-related tinnitus. We analyzed a survey on 398 cases of COVID-19 vaccination-related tinnitus, and 699,839 COVID-19 vaccine-related reports in the Vaccine Adverse Effect Reporting System (VAERS) database that was retrieved on 4 December 2021. We found that following COVID-19 vaccination, 1) tinnitus report frequencies for Pfizer, Moderna and Janssen vaccines in VAERS are 47, 51 and 70 cases per million full vaccination; …
Episodic Memory Assessment: Effects Of Sex And Age On Performance And Response Time During A Continuous Recognition Task, James O. Clifford, Sulekha Anand, Franck Tarpin-Bernard, Michael F. Bergeron, Curtis B. Ashford, Peter J. Bayley, John Wesson Ashford
Episodic Memory Assessment: Effects Of Sex And Age On Performance And Response Time During A Continuous Recognition Task, James O. Clifford, Sulekha Anand, Franck Tarpin-Bernard, Michael F. Bergeron, Curtis B. Ashford, Peter J. Bayley, John Wesson Ashford
Faculty Research, Scholarly, and Creative Activity
Introduction: Continuous recognition tasks (CRTs) assess episodic memory (EM), the central functional disturbance in Alzheimer’s disease and several related disorders. The online MemTrax computerized CRT provides a platform for screening and assessment that is engaging and can be repeated frequently. MemTrax presents complex visual stimuli, which require complex involvement of the lateral and medial temporal lobes and can be completed in less than 2 min. Results include number of correct recognitions (HITs), recognition failures (MISSes = 1-HITs), correct rejections (CRs), false alarms (FAs = 1-CRs), total correct (TC = HITs + CRs), and response times (RTs) for each HIT and …
Oculometric Biomarkers Of Visuomotor Deficits In Clinically Asymptomatic Patients With Systemic Lupus Erythematosus Undergoing Long-Term Hydroxychloroquine Treatment, Andrew R. Berneshawi, Kimia Seyedmadani, Rahul Goel, Mark R. Anderson, Terence L. Tyson, Yasmin M. Akay, Metin Akay, Loh Shan B. Leung, Leland S. Stone
Oculometric Biomarkers Of Visuomotor Deficits In Clinically Asymptomatic Patients With Systemic Lupus Erythematosus Undergoing Long-Term Hydroxychloroquine Treatment, Andrew R. Berneshawi, Kimia Seyedmadani, Rahul Goel, Mark R. Anderson, Terence L. Tyson, Yasmin M. Akay, Metin Akay, Loh Shan B. Leung, Leland S. Stone
Faculty Research, Scholarly, and Creative Activity
Introduction: This study examines a set of oculomotor measurements, or “oculometric” biomarkers, as potential early indicators of visual and visuomotor deficits due to retinal toxicity in asymptomatic Systemic Lupus Erythematosus (SLE) patients on long-term hydroxychloroquine (HCQ) treatment. The aim is to identify subclinical functional impairments that are otherwise undetectable by standard clinical tests and to link them to structural retinal changes. Methods: We measured oculomotor responses in a cohort of SLE patients on chronic HCQ therapy using a previously established behavioral task and analysis technique. We also examined the relationship between oculometrics, OCT measures of retinal thickness, and standard clinical …
Perturbation Walking Effects On Prefrontal Cortical Activation And Walking Performance In Older Women With And Without Osteoarthritis: A Fnirs Study, Alka Bishnoi, Yang Hu, Manuel E. Hernandez
Perturbation Walking Effects On Prefrontal Cortical Activation And Walking Performance In Older Women With And Without Osteoarthritis: A Fnirs Study, Alka Bishnoi, Yang Hu, Manuel E. Hernandez
Faculty Research, Scholarly, and Creative Activity
Introduction: Perturbation walking (PW) has been shown to improve gait, however its effect on the cortical control of gait might provide insights on neural mechanisms underlying falls in adults with osteoarthritis. The objective of this study is to investigate the effect of PW on prefrontal cortical (PFC) activation in older women with (OA) and without osteoarthritis (HOA). We hypothesized that there would be an increase in PFC activation during PW relative to comfortable walking (CW) and higher increase in PFC activation during PW in HOA compared to OA. Methods: Twenty community-dwelling older women (66.7 ± 5.41 years old) walked on …
Characterization Of Mycelium Biocomposites Under Simulated Weathering Conditions, Nicholas Schultz, Ajimahl Fazli, Sharmaine Piros, Yuritzi Barranco-Origel, Patricia Dela Cruz, Dr Yanika Schneider
Characterization Of Mycelium Biocomposites Under Simulated Weathering Conditions, Nicholas Schultz, Ajimahl Fazli, Sharmaine Piros, Yuritzi Barranco-Origel, Patricia Dela Cruz, Dr Yanika Schneider
Faculty Research, Scholarly, and Creative Activity
Expanded polystyrene (EPS) remains a popular packaging material despite environmental concerns such as pollution, difficulty to recycle, and toxicity to wildlife. The goal of this study is to evaluate the potential of an ecofriendly alternative to traditional EPS composed of a mycelium biocomposite grown from agricultural waste. In this material, the mycelium spores are incorporated into cellulosic waste, resulting in a structurally sound biocomposite completely enveloped by mycelium fibers. One of the main criteria for shipping applications is the ability of a material to withstand extreme weather conditions. Accordingly, this study focused on evaluating a commercially available mycelium material before …
Effect Of Fermentation, Malting And Ultrasonication On Sorghum, Mopane Worm And Moringa Oleifera: Improvement In Their Nutritional, Techno-Functional And Health Promoting Properties, Mpho Sebabiki Maleke, Oluwafemi Ayodeji Adebo, Jonathan Wilkin, Moira Ledbetter, Xi Feng, John Gieng, Tumisi Beiri Jeremiah Molelekoa
Effect Of Fermentation, Malting And Ultrasonication On Sorghum, Mopane Worm And Moringa Oleifera: Improvement In Their Nutritional, Techno-Functional And Health Promoting Properties, Mpho Sebabiki Maleke, Oluwafemi Ayodeji Adebo, Jonathan Wilkin, Moira Ledbetter, Xi Feng, John Gieng, Tumisi Beiri Jeremiah Molelekoa
Faculty Research, Scholarly, and Creative Activity
Background: Food processing offers various benefits that contribute to food nutrition, food security and convenience. This study investigated the effect of three different processes (fermentation, malting and ultrasonication) on the nutritional, techno-functional and health-promoting properties of sorghum, mopane worm and Moringa oleifera. Methods: The fermented and malted flours were prepared at 35°C for 48 h, and for ultrasonication, samples were subjected to 10 min at 4°C with amplitudes of 40–70 Hz. The biochemical, nutritional quality and techno-functional properties of the obtained flours were analysed using standard procedures. Results: Fermentation resulted in significantly lower pH and higher titratable acidity in sorghum …
Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams
Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams
Faculty Research, Scholarly, and Creative Activity
Understanding timing and distribution of virus spread is critical to global commercial and wildlife biosecurity management. A highly pathogenic avian influenza virus (HPAIv) global panzootic, affecting 600 bird and mammal species globally and over 83 million birds across North America (December 2023), poses a serious global threat to animals and public health. We combined a large, long-term waterfowl GPS tracking dataset (16 species) with on-ground disease surveillance data (county-level HPAIv detections) to create a novel empirical model that evaluated spatiotemporal exposure and predicted future spread and potential arrival of HPAIv via GPS tracked migratory waterfowl through 2022. Our model was …
Navigating Enterprise Constraints: Building A Hybrid Multi-Modal Mobile Intelligent App, Ketan Malempati, Akshat Gupta, Kaikai Liu
Navigating Enterprise Constraints: Building A Hybrid Multi-Modal Mobile Intelligent App, Ketan Malempati, Akshat Gupta, Kaikai Liu
Faculty Research, Scholarly, and Creative Activity
The promise of artificial intelligence (AI) has prompted various industries to explore how it can enhance their businesses and improve customer experiences. However, the practical deployment of AI services faces challenges due to internal infrastructure limitations, data policies, and network restrictions. In this paper, we present our current project - a solution designed to empower mental health centers with AI tools while adhering to stringent data and network constraints. Our approach involves deploying AI services and data within internal enterprise networks, while the customer-facing mobile app resides in the public cloud. We introduce a custom AI agent system that monitors …
Public Libraries Encouraged To Meet The Health Information Needs Of Tribal Women In Bangladesh, Lili Luo
Public Libraries Encouraged To Meet The Health Information Needs Of Tribal Women In Bangladesh, Lili Luo
Faculty Research, Scholarly, and Creative Activity
Objective – To investigate public libraries’ existing community engagement practices, explore their willingness to provide health information services to tribal communities in Bangladesh, and examine tribal women’s health information-seeking behavior and interest in obtaining health information from public libraries. Design – A cross-sectional study using online interviews and structured questionnaires. Setting – Public libraries and tribal communities in tribal regions of Bangladesh. Subjects – Public librarians (n=11) and tribal women (n=276) from three tribal districts in Bangladesh (Bandarban, Khagrachari, and Mymensingh). Methods – Interviews were conducted with librarians via Zoom in January 2023. Survey questionnaires were distributed to a convenience …
Sample Sizes For 10 Types Of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, And Next Steps, Amber Wutich, Melissa Beresford, H. Russell Bernard
Sample Sizes For 10 Types Of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, And Next Steps, Amber Wutich, Melissa Beresford, H. Russell Bernard
Faculty Research, Scholarly, and Creative Activity
There has been a recent explosion of articles on minimum sample sizes needed for analyzing qualitative data. The purpose of this integrated review is to examine this literature for 10 types of qualitative data analysis (5 types of saturation and 5 common methods). Building on established reviews and expanding to new methods, our findings extract the following sample size guidelines: theme saturation (9 interviews; 4 focus groups), meaning saturation (24 interviews; 8 focus groups), theoretical saturation (20–30+ interviews), metatheme saturation (20–40 interviews per site), and saturation in salience (10 exhaustive free lists); two methods where power analysis determines sample size: …