Most preferred sample type for diagnostic testing, ranked globally.

The data and analysis of the surveys to study the users' opinion about the presence of an avatar during a learning experience in Mixed Reality. Also there are demographic data and the open questions collected. This data was used in the paper Evaluating the Effectiveness of Avatar-Based Collaboration in XR for Pump Station Training Scenarios for the GeCon 2024 Conference.

Analysis of ‘2013 NYC School Survey’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/09994d83-9082-475b-af9f-d0ca280e9d9a on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Every year, all parents, all teachers, and students in grades 6 - 12 take the NYC School Survey. The survey ranks among the largest surveys of any kind ever conducted nationally. Survey results provide insight into a school's learning environment and contribute a measure of diversification that goes beyond test scores on the Progress Report. NYC School Survey results contribute 10% - 15% of a school's Progress Report grade (the exact contribution to the Progress Report is dependent on school type). Survey questions assess the community's opinions on academic expectations, communication, engagement, and safety and respect. School leaders can use survey results to better understand their own school's strengths and target areas for improvement. The NYC School Survey helps school leaders understand what key members of the school community say about the learning environment at each school. The information captured by the survey is designed to support a dialogue among all members of the school community about how to make the school a better place to learn.

--- Original source retains full ownership of the source dataset ---

Classification and Categorization of the Questionnaire Statements

This data product consists of a database of population change and abundance estimates for North American birds, estimated from North American Breeding Bird Survey (BBS) data. Data are presented for 546 species of birds in 4 spreadsheets containing trend estimates and annual indices for 2 time periods. Estimates are derived for each species using the 1 of 4 alternative models, and a cross-validation model selection procedure was used to select the best model for each species. Metadata associated with this data product provides information specific to the associated analysis results; metadata for the BBS data are available at Ziolkowski, D.J., Lutmerding, M., English, W.B., Aponte, V.I., and Hudson, M-A.R., 2023, North American Breeding Bird Survey Dataset 1966 - 2023: U.S. Geological Survey data release, https://doi.org/10.5066/P136CRBV.

Healthcare Survey Software Market Outlook

The global healthcare survey software market size was valued at USD 1.5 billion in 2023 and is projected to reach USD 5.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.2% during the forecast period. The key growth factor propelling the healthcare survey software market includes the increasing importance of patient feedback and data analytics in improving healthcare services and outcomes.

Healthcare organizations are increasingly recognizing the value of patient feedback in enhancing the quality of care. As healthcare becomes more patient-centric, the demand for efficient tools to gather, analyze, and act on patient feedback has surged. Survey software provides a streamlined method for collecting patient opinions on various aspects of their care, including satisfaction with treatment, interaction with healthcare staff, and overall experience. This feedback is invaluable for healthcare providers aiming to improve service delivery, patient satisfaction, and clinical outcomes.

Another significant growth factor is the advancement in data analytics and integration capabilities. Modern healthcare survey software solutions are equipped with powerful analytics tools that allow organizations to derive actionable insights from collected data. These insights can be used to identify trends, pinpoint areas for improvement, and make informed decisions. The ability to integrate survey data with electronic health records (EHRs) and other healthcare systems further enhances the utility of these platforms, providing a comprehensive view of patient health and experiences.

The shift towards digitalization in healthcare is also driving market growth. The adoption of digital tools for various administrative and clinical tasks has increased efficiency and accuracy, and survey software is no exception. The convenience of deploying surveys through digital platforms, including mobile and web applications, ensures higher response rates and real-time data collection. Additionally, the cloud-based deployment of survey software solutions offers scalability, remote accessibility, and reduced IT overheads, which are particularly beneficial for large healthcare organizations.

Survey Software plays a pivotal role in the healthcare industry by providing comprehensive tools for collecting and analyzing patient feedback. These platforms enable healthcare providers to design customized surveys that capture detailed patient experiences, leading to more personalized care. The integration of survey software with existing healthcare systems allows for seamless data collection and analysis, offering insights that drive improvements in patient care and operational efficiency. As the demand for precise and actionable patient feedback grows, survey software becomes an indispensable asset in the healthcare sector, facilitating better decision-making and enhancing patient satisfaction.

Regionally, North America holds the largest market share due to the advanced healthcare infrastructure, high adoption rate of digital technologies, and the presence of major market players. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. Factors contributing to this growth include increasing investments in healthcare infrastructure, rising awareness about the importance of patient feedback, and the burgeoning use of digital healthcare solutions. Europe also shows significant potential, driven by regulatory support for patient-centric care and the adoption of advanced healthcare technologies.

Component Analysis

The healthcare survey software market is segmented by component into software and services. The software segment includes various types of survey software solutions that facilitate the creation, distribution, and analysis of surveys. These solutions come with features like customizable templates, automated survey distribution, and advanced analytics. The growing need for real-time feedback and data-driven decision-making is driving the adoption of sophisticated software solutions in the healthcare sector.

Within the software segment, the demand for advanced analytics tools is particularly high. These tools enable healthcare providers to analyze survey data comprehensively and derive actionable insights. The integration capabilities of software solutions with other healthcare systems, such as EHRs and patient management systems, further enh

DuPage County is seeking bids for Survey and Data Analysis System due 2024-05-14T05:00:00.000Z

Abstract

Protracted and new displacements of large numbers of people as well as complex conflict dynamics continue to be a major issue in Darfur. In 2020, an estimated 2.5 million people were internally displaced and close to 400,000 Darfuris refugees resided in neighbouring countries. The political transition following years of conflict paved the way for the signing of the Juba Peace Agreement (JPA) in 2020. The peace agreement aims to address the root causes of conflict but also establishes durable solutions for displaced populations as a necessity for lasting peace in Darfur. In 2021, the Government furthermore initiated work on a National Strategy on Solutions, which will offer a critical strategic framework and operational roadmap towards solutions for displaced communities in Sudan.

In 2017, the Government of Sudan (GoS) and the international community agreed on the need to collectively support Durable Solutions for IDPs, returnees, and their host communities to end the situation of protracted displacement. The collaboration on Durable Solutions between the GoS and international community resulted in two Durable Solution pilots in respectively El Fasher (North Darfur) and Um Dukhun (Central Darfur). JIPS provided technical support for the scale-up of the durable solutions analysis across Darfur under the Central Emergency Relief Fund (CERF).

Focusing on nine localities, including urban areas, the data collection exercises build directly on the durable solutions analysis approach piloted in El Fasher in 2019. The Durable Solutions Working Group (DSWG) identified a joint evidence base and a collaborative approach as priorities and therefore undertook a joint area-based profiling exercise, focusing on the Abu Shouk and El Salaam IDP camps on the outskirts of El Fasher.

The focus was set on profiling of IDPs (in camp settlements and out of camps), IDP returnees, refugee returnees, and non-displaced. The profiling exercises are aimed at: i.Informing CERF programming and Action Plan development in each state/locality; ii.Provide the baseline of the agreed upon CERF outcome/output indicators (for later measurement of impact); and iii.Inform broader UNHCR programming beyond the Fund.

Geographic coverage

Kaas locality within South Darfur State. Considering the difference in the geographic context (urban vs. rural) within Kass, it was agreed to divide Kass into two separate clusters (urban and rural) and treat them as separate entities. Hence, each cluster is considered as a locality within Kass

Analysis unit

Households

Universe

All IDP returnees, refugee returnees, IDPs in camps and out of camps, and non-displaced populations across Kaas.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling followed a systematic simple random approach, through which the households were treated as the primary sampling unit. The sample size for each target group was identified proportionately based on the group's population size. The sampling is designed to produce results representative for each target group in the targeted area of the locality. Analysis at the settlement level is not possible. The selection of settlements included in each locality is based on a prioritization by partner agencies and local partners based on the programmatic scope of the CERF. The data is thus not representative of whole locality, but the specific geographic scope targeted within the locality.

The total sample included: 792 households (HHs), including IDPs in camps and the town (394 HHs), and non-displaced (398 HHs). In Kass rural cluster, the total achieved sample sizes included: 343 IDPs households residing outside of camps and 543 IDP-returnee households. Additionally, 66 non-displaced households and 50 return refugee households were captured but excluded from the analysis due to the small sample sizes.

The sample frame of the household survey was based on the population estimates of each target group, that were provided by key informants and validated through fieldwork missions.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Some households with over 14 members have had individuals removed from their household roster due to anonymization techniques.

Abstract

The Firm Analysis and Competitiveness Survey of India (FACS) 2002 is a joint undertaking of the Confederation of Indian Industry and the World Bank Group towards better understanding of the investment climate of States. It follows upon a similar survey of 1200 firms that the two institutions carried out in 2000.

In 2002, 1827 businesses from 12 states were surveyed. The study covered exporting industries, namely, textiles, garments, pharmaceuticals, electronics, electrical White goods, chemicals, metal and auto-components. As in the previous survey, the goal of the study is to advise state governments on ways to change policies that hinder the start up of more businesses, their expansion and competitiveness in potential export markets.

Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA), which now implements Enterprise Surveys across all geographic regions.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instrument is available: - Firm Analysis and Competitiveness Survey of India 2002 Questionnaire.

The questionnaire has two parts. The first part is for the head of the business to respond to. It includes questions about the history and organization of the business, management, markets, supplies, access to technology, credit, skilled manpower, infrastructure, government policies, and business’ economic environment. The second part deals with production, financial, and human resource statistics and is to be answered by the accountant and the personnel manager.

Based on qualitative responses from businesses to our Quarterly Acquisitions and Disposals of Capital Assets Survey (QCAS) and Quarterly Stocks Survey (QSS).

Replication files for the article "IPD Meta-Analysis of Complex Survey Data: A Simulation Study"

Employee Pulse Survey Tool Market Outlook

In 2023, the global market size for Employee Pulse Survey Tools was valued at approximately USD 1.2 billion, with a forecasted growth to USD 3.5 billion by 2032, driven by a robust CAGR of 12.3%. This impressive growth can be attributed to a combination of factors including rising awareness about employee engagement, the increasing emphasis on real-time feedback mechanisms, and the continuous advancements in data analytics and AI technologies.

The primary driver of growth in the Employee Pulse Survey Tool market is the increasing recognition of the critical role that employee engagement and satisfaction play in organizational success. Companies are increasingly focusing on maintaining a healthy workplace environment to enhance productivity and reduce turnover rates. Employee pulse surveys provide a continuous and real-time feedback loop, enabling organizations to understand and address employee concerns proactively. This real-time feedback mechanism is proving invaluable in refining management strategies, improving work culture, and ultimately driving business outcomes.

Another significant growth factor is the advancement in data analytics and AI technologies. Modern employee pulse survey tools are leveraging advanced analytics and machine learning algorithms to deliver deeper insights into employee sentiment and engagement levels. These tools can analyze large volumes of feedback data efficiently, identifying trends and patterns that might not be immediately obvious. This capability allows organizations to make informed decisions based on data-driven insights, which in turn enhances the effectiveness of their employee engagement strategies.

The increasing integration of pulse survey tools with other HR and management systems is also contributing to market growth. By seamlessly integrating with existing HR systems, these tools can provide a more comprehensive view of employee data, facilitating better decision-making. This integration also helps in streamlining processes, reducing administrative burdens, and providing a unified platform for employee engagement and feedback management. As a result, organizations are more inclined to adopt these tools, further driving market growth.

As organizations strive to enhance employee engagement and satisfaction, the role of an Employee Feedback Platform becomes increasingly crucial. These platforms provide a structured and efficient way for employees to share their thoughts and concerns, fostering an environment of open communication. By utilizing an Employee Feedback Platform, companies can gather valuable insights into employee sentiment, allowing them to address issues proactively and improve workplace culture. This proactive approach not only helps in retaining talent but also boosts overall productivity and morale. The integration of feedback platforms with pulse survey tools further enhances their effectiveness, providing a comprehensive solution for managing employee engagement and feedback.

From a regional perspective, North America is expected to hold the largest market share, followed by Europe and the Asia Pacific. The high adoption rate of advanced HR technologies and the presence of a significant number of large enterprises in North America are key factors contributing to its leading position. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate, driven by the increasing awareness about employee engagement and the rising number of SMEs adopting pulse survey tools.

Component Analysis

The Employee Pulse Survey Tool market can be segmented by component into software and services. The software component, which includes platforms and applications, is often the primary focus as it represents the actual tools that organizations use to conduct surveys and analyze data. These software solutions are designed to be user-friendly, customizable, and scalable, catering to the diverse needs of different organizations. With continuous advancements in software capabilities, such as enhanced data analytics, AI-driven insights, and seamless integration with other HR systems, the demand for robust and feature-rich software solutions is on the rise.

On the other hand, the services component is equally critical as it encompasses various support and consulting services that enhance the implementation and utilization of pulse survey tools. These services include technical support, training,

Analysis of ‘2019-2020 Arts Survey Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/15a72990-1792-469a-a21d-d5aed86f93a1 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

The Annual Arts Education survey collects information on student participation in and access to arts education at NYCDOE schools.

Please note the following arts-related data are now collected from other sources: The number of certified art teachers and non-certified teachers teaching the arts is collected form the HR and BEDS survey The arts instructional hours provided to elementary students are collected from the Student Transcript and Academic Recording System (STARS) The middle and high school participation in the arts data and the NYSED requirement data are collected form STARS and the HS arts sequence data are also collected form STARS

--- Original source retains full ownership of the source dataset ---

The online survey software and tools market is experiencing robust growth, projected to reach a substantial market size. The market's Compound Annual Growth Rate (CAGR) of 9.2% from 2019-2033 indicates a consistent upward trajectory, driven by several key factors. The increasing need for businesses to gather customer feedback efficiently and cost-effectively is a major catalyst. Furthermore, the rising adoption of digital technologies across various industries, coupled with the growing sophistication of survey tools (including advanced analytics and integrations with other business software), fuels market expansion. The ability to automate data collection, analysis, and reporting significantly reduces operational overhead and improves decision-making speed for companies of all sizes. This demand is further amplified by the need for real-time insights into customer sentiment, brand perception, and market trends, all readily achievable through sophisticated online survey platforms. Several factors contribute to this growth, including the ease of use and accessibility of online survey platforms, the affordability of many solutions, and the wide range of features offered. The market comprises diverse players ranging from established giants like SurveyMonkey and Qualtrics to specialized niche providers. This competition fosters innovation and drives down prices, making these tools accessible to a broader range of users. While data security and privacy remain crucial concerns, robust solutions are being continuously developed to mitigate these risks. The market’s segmentation is likely to evolve with the emergence of new features and tools catering to specialized industries and customer needs, maintaining strong growth over the forecast period. The projected market value for 2025, considering the 9.2% CAGR and the 2019-2024 historical period, is estimated to be significantly larger than 1742.7 million, showcasing strong market potential.

SDA@Chass provides access to Canadian microdata (including DLI surveys), to aggregated census data, and to various other collections of data (opinion polls, international data, etc.). Users can analyze datasets online, download data, or consult relevant documentation.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This is a secondary data analysis of the 2010 National Intimate Partner and Sexual Violence Survey (ICPSR 36140). The National Intimate Partner and Sexual Violence Survey (NISVS) includes lifetime and past-year measures of physical violence by intimate partners and sexual violence. This secondary data analysis focused on eight measures of physical violence by intimate partners and eight measures of sexual violence. The collection contains 2 SPSS data files: lifetime-data.sav (n=16,507; 22 variables), which measures occurrences of physical and sexual violence over the respondent's lifetime, and pastyr-data.sav (n=4,150; 22 variables), which measure occurrences of physical and sexual violence over the past year. A syntax file is included in the user guide.

Survey weighting allows researchers to account for bias in survey samples, due to unit nonresponse or convenience sampling, using measured demographic covariates. Unfortunately, in practice, it is impossible to know whether the estimated survey weights are sufficient to alleviate concerns about bias due to unobserved confounders or incorrect functional forms used in weighting. In the following paper, we propose two sensitivity analyses for the exclusion of important covariates: (1) a sensitivity analysis for partially observed confounders (i.e., variables measured across the survey sample, but not the target population), and (2) a sensitivity analysis for fully unobserved confounders (i.e., variables not measured in either the survey or the target population). We provide graphical and numerical summaries of the potential bias that arises from such confounders, and introduce a benchmarking approach that allows researchers to quantitatively reason about the sensitivity of their results. We demonstrate our proposed sensitivity analyses using state-level 2020 U.S. Presidential Election polls.

Model-predicted compositional mean and total discretionary time at follow-up in the longitudinal sample (n = 4,323).

analyze the health and retirement study (hrs) with r the hrs is the one and only longitudinal survey of american seniors. with a panel starting its third decade, the current pool of respondents includes older folks who have been interviewed every two years as far back as 1992. unlike cross-sectional or shorter panel surveys, respondents keep responding until, well, death d o us part. paid for by the national institute on aging and administered by the university of michigan's institute for social research, if you apply for an interviewer job with them, i hope you like werther's original. figuring out how to analyze this data set might trigger your fight-or-flight synapses if you just start clicking arou nd on michigan's website. instead, read pages numbered 10-17 (pdf pages 12-19) of this introduction pdf and don't touch the data until you understand figure a-3 on that last page. if you start enjoying yourself, here's the whole book. after that, it's time to register for access to the (free) data. keep your username and password handy, you'll need it for the top of the download automation r script. next, look at this data flowchart to get an idea of why the data download page is such a righteous jungle. but wait, good news: umich recently farmed out its data management to the rand corporation, who promptly constructed a giant consolidated file with one record per respondent across the whole panel. oh so beautiful. the rand hrs files make much of the older data and syntax examples obsolete, so when you come across stuff like instructions on how to merge years, you can happily ignore them - rand has done it for you. the health and retirement study only includes noninstitutionalized adults when new respondents get added to the panel (as they were in 1992, 1993, 1998, 2004, and 2010) but once they're in, they're in - respondents have a weight of zero for interview waves when they were nursing home residents; but they're still responding and will continue to contribute to your statistics so long as you're generalizing about a population from a previous wave (for example: it's possible to compute "among all americans who were 50+ years old in 1998, x% lived in nursing homes by 2010"). my source for that 411? page 13 of the design doc. wicked. this new github repository contains five scripts: 1992 - 2010 download HRS microdata.R loop through every year and every file, download, then unzip everything in one big party impor t longitudinal RAND contributed files.R create a SQLite database (.db) on the local disk load the rand, rand-cams, and both rand-family files into the database (.db) in chunks (to prevent overloading ram) longitudinal RAND - analysis examples.R connect to the sql database created by the 'import longitudinal RAND contributed files' program create tw o database-backed complex sample survey object, using a taylor-series linearization design perform a mountain of analysis examples with wave weights from two different points in the panel import example HRS file.R load a fixed-width file using only the sas importation script directly into ram with < a href="http://blog.revolutionanalytics.com/2012/07/importing-public-data-with-sas-instructions-into-r.html">SAScii parse through the IF block at the bottom of the sas importation script, blank out a number of variables save the file as an R data file (.rda) for fast loading later replicate 2002 regression.R connect to the sql database created by the 'import longitudinal RAND contributed files' program create a database-backed complex sample survey object, using a taylor-series linearization design exactly match the final regression shown in this document provided by analysts at RAND as an update of the regression on pdf page B76 of this document . click here to view these five scripts for more detail about the health and retirement study (hrs), visit: michigan's hrs homepage rand's hrs homepage the hrs wikipedia page a running list of publications using hrs notes: exemplary work making it this far. as a reward, here's the detailed codebook for the main rand hrs file. note that rand also creates 'flat files' for every survey wave, but really, most every analysis you c an think of is possible using just the four files imported with the rand importation script above. if you must work with the non-rand files, there's an example of how to import a single hrs (umich-created) file, but if you wish to import more than one, you'll have to write some for loops yourself. confidential to sas, spss, stata, and sudaan users: a tidal wave is coming. you can get water up your nose and be dragged out to sea, or you can grab a surf board. time to transition to r. :D

Digital Survey Tools Market Outlook

The global Digital Survey Tools market size was valued at approximately $3.2 billion in 2023 and is expected to reach around $8.1 billion by 2032, growing at a CAGR of 10.9% during the forecast period. This robust growth can be attributed to increasing digitalization across various sectors, the necessity for real-time feedback, and advancements in analytical capabilities.

One of the primary growth factors driving the digital survey tools market is the burgeoning need for real-time data collection and analysis. In today’s fast-paced world, businesses require immediate feedback to make informed decisions. Digital survey tools provide an efficient and effective way to gather and analyze data, helping organizations stay agile and responsive. Furthermore, the rise of mobile technology has made it easier to reach a broader audience, enabling more comprehensive data collection across different demographics and geographies.

The growth of the e-commerce sector is another significant driver for the digital survey tools market. As online shopping becomes more prevalent, businesses are increasingly relying on digital surveys to understand customer satisfaction, preferences, and behaviors. This information is crucial for tailoring marketing strategies, improving products or services, and ultimately enhancing customer loyalty. Moreover, the COVID-19 pandemic has accelerated the adoption of digital solutions, including survey tools, as businesses strive to maintain customer engagement and gather feedback in a remote environment.

Additionally, the integration of artificial intelligence and machine learning with digital survey tools is revolutionizing the market. These technologies enable advanced analytics, predictive insights, and personalized survey experiences, making the data collected more valuable and actionable. AI-powered survey tools can automatically analyze open-ended responses, identify trends, and even predict future behaviors, thus enabling organizations to make proactive decisions. As these technologies continue to evolve, their adoption in digital survey tools is expected to soar, further propelling market growth.

On the regional front, North America holds a significant share of the digital survey tools market owing to its advanced technological infrastructure and the presence of major industry players. The region’s high internet penetration rate and widespread use of mobile devices further facilitate the adoption of digital survey tools. Additionally, the Asia Pacific region is expected to witness substantial growth during the forecast period. Rapid digital transformation, increasing internet and smartphone usage, and growing awareness about the benefits of digital surveys are driving the market in this region. Countries like China and India are emerging as key markets due to their large populations and expanding digital ecosystems.

Type Analysis

The digital survey tools market can be segmented by type into online surveys, mobile surveys, email surveys, and others. Online surveys are currently the most popular type, driven by their convenience and broad reach. These surveys can be easily distributed through various online channels such as websites, social media, and email, making them highly accessible. Additionally, online surveys often come with robust analytical tools that allow for real-time data analysis and reporting, enabling organizations to quickly interpret and act on the collected information. The versatility and efficiency of online surveys make them a preferred choice for many businesses and researchers.

Mobile surveys are gaining traction due to the widespread use of smartphones and mobile internet. These surveys are designed to be completed on mobile devices, offering convenience and flexibility to respondents. The mobility factor allows businesses to reach respondents anytime and anywhere, increasing the response rate and the diversity of the sample population. Moreover, mobile surveys often include features like push notifications and location-based services, which can enhance respondent engagement and data accuracy. As mobile technology continues to evolve, the adoption of mobile surveys is expected to rise significantly.

Email surveys, while traditional, remain a valuable tool in the digital survey toolkit. They are particularly effective for reaching a specific, targeted audience, as they can be sent directly to individuals' inboxes. Email surveys often offer higher completion rates compared to other types due to their personalized nature. They also allow fo