In 2022, ************** were the most used traditional qualitative methodologies in the market research industry worldwide. During the survey, ** percent of respondents stated that they regularly used this method. Second in the list was data visualization/dashboards, where ** percent of respondents gave this as their answer.

This data set contains the replication data and supplements for the article "Knowing, Doing, and Feeling: A three-year, mixed-methods study of undergraduates’ information literacy development." The survey data is from two samples: - cross-sectional sample (different students at the same point in time) - longitudinal sample (the same students and different points in time)Surveys were distributed via Qualtrics during the students' first and sixth semesters. Quantitative and qualitative data were collected and used to describe students' IL development over 3 years. Statistics from the quantitative data were analyzed in SPSS. The qualitative data was coded and analyzed thematically in NVivo. The qualitative, textual data is from semi-structured interviews with sixth-semester students in psychology at UiT, both focus groups and individual interviews. All data were collected as part of the contact author's PhD research on information literacy (IL) at UiT. The following files are included in this data set: 1. A README file which explains the quantitative data files. (2 file formats: .txt, .pdf)2. The consent form for participants (in Norwegian). (2 file formats: .txt, .pdf)3. Six data files with survey results from UiT psychology undergraduate students for the cross-sectional (n=209) and longitudinal (n=56) samples, in 3 formats (.dat, .csv, .sav). The data was collected in Qualtrics from fall 2019 to fall 2022. 4. Interview guide for 3 focus group interviews. File format: .txt5. Interview guides for 7 individual interviews - first round (n=4) and second round (n=3). File format: .txt 6. The 21-item IL test (Tromsø Information Literacy Test = TILT), in English and Norwegian. TILT is used for assessing students' knowledge of three aspects of IL: evaluating sources, using sources, and seeking information. The test is multiple choice, with four alternative answers for each item. This test is a "KNOW-measure," intended to measure what students know about information literacy. (2 file formats: .txt, .pdf)7. Survey questions related to interest - specifically students' interest in being or becoming information literate - in 3 parts (all in English and Norwegian): a) information and questions about the 4 phases of interest; b) interest questionnaire with 26 items in 7 subscales (Tromsø Interest Questionnaire - TRIQ); c) Survey questions about IL and interest, need, and intent. (2 file formats: .txt, .pdf)8. Information about the assignment-based measures used to measure what students do in practice when evaluating and using sources. Students were evaluated with these measures in their first and sixth semesters. (2 file formats: .txt, .pdf)9. The Norwegain Centre for Research Data's (NSD) 2019 assessment of the notification form for personal data for the PhD research project. In Norwegian. (Format: .pdf)

Chemical quick inspection data for non-compliance in Taipei wholesale markets.

BackgroundAs more people living with HIV are identified and prescribed antiretroviral treatment in Zambia, detecting new HIV infections to complete the last mile of epidemic control is challenging. To address this, innovative targeted testing strategies are essential. Therefore, Right to Care Zambia developed and implemented a novel digital health surveillance application, Lynx, in three Zambian provinces—Northern, Luapula, and Muchinga in 2018. Lynx offers real-time HIV testing data with geo-spatial analysis for targeted testing, and has proven effective in enhancing HIV testing yield. This cross-sectional mixed methods study assessed the acceptability of Lynx among HIV testing healthcare workers in Zambia.MethodsA quantitative Likert scale (1–5) survey was administered to 176 healthcare workers to gauge Lynx’s acceptability. Additionally, six qualitative key person interviews and five focus group discussions were conducted to gain an in-depth understanding of acceptability, and identify relevant barriers and facilitators. Quantitative data were analysed by averaging survey responses and running descriptive statistics. Qualitative data were transcribed and analysed in thematic coding. Data triangulation was utilised between the data sources to verify findings.ResultsOverall, the average survey score of perceived ease of use was 3.926 (agree), perceived usefulness was 4.179 (strongly agree) and perceived compatibility was 3.574 (agree). Survey questions related to network requirements, resource availability, and IT support had the most “strongly disagree” responses. The qualitative data collection revealed that Lynx was perceived as useful, and easy to use. Training for staff and regular updates were identified as facilitators, while conflicting work priorities and inconsistent IT support were identified barriers.ConclusionLynx was identified as acceptable by health workers due to its perceived usefulness, staff trainings, and regular updates. For a mobile health intervention to be embraced in rural Zambian settings, key facilitators include robust IT support, comprehensive training, user feedback-based updates, and consideration of facility staff priorities.

IDI Duration: 30-60 minutes Focus Group Duration: 60-90 minutes Sample Size: 6-8 well-recruited interviews per distinct segment or role

The importance of data science skills for modern scientific research cannot be understated. Although policy documents increasingly recommend what skills should be included in undergraduate statistics and data science curricula, little is known about how students actually develop and apply these skills. This paper addresses this gap through an in-depth case study tracing one student’s learning progressions throughout her master’s program. Using a qualitative method to analyze student code, which has seen little use in statistics education research, I examined how Alicia transferred the data science skills from her applied statistics course into authentic research settings. The analysis shows that, while Alicia successfully navigated new challenges, she encountered persistent hurdles when extending bivariate techniques into multivariate contexts, particularly with visualizations and summary statistics. These findings highlight the obs..., R Script files submitted by Alicia (pseudonym) over the course of the study. The files are named according to when they were submitted:

December 2018

R Script #1

April 2019

R Script #1 (revised) R Script #2

September 2019

R Script #1 (revised) R Script #2 (revised)

Qualitative Data Analysis Files (Rich text files)

December 2018 Script #1 April 2019 Script #1 April 2019 Script #2 September 2019 Script #1 September 2019 Script #2

Quantitative Data Analysis Files

r-code-themes.csv

Comma separated values file with separate sheets for each R script Each sheet contains the qualitative code assigned to each line of code and whether the code contained errors.

, , # Code from: Beyond the classroom: Alicia’s multivariate journey

https://doi.org/10.5061/dryad.c59zw3rg6

This repository contains the R script files submitted by Alicia (pseudonym) throughout this study, files associated with the qualitative analysis of the code, and files associated with visualizations of the qualitative themes included in Alicia's code.

Description of the data and file structure

As this is a qualitative analysis, the usage of these "data" files differs from a typical quantitative analysis.

• The .R Files contain the scripts generated by Alicia at each time point (December 2018, April 2019, September 2019)
• The -codes.rftÂ Files contain the (qualitative) process codes for each R script
• The r-code-themes.xlsxÂ The file contains information on every script and the qualitative code assigned to each line of code.

Code/Software

While the "data" for this analysis are R scripts, these scripts cannot be execu...,

Although South Africa is the global epicenter of the HIV epidemic, the uptake of HIV testing and treatment among young people remains low. Concerns about confidentiality impede the utilization of HIV prevention services, which signals the need for discrete HIV prevention measures that leverage youth-friendly platforms. This paper describes the process of developing a youth-friendly internet-enabled HIV risk calculator in collaboration with young people, including young key populations aged between 18 and 24 years old. Using qualitative research, we conducted an exploratory study with 40 young people including young key population (lesbian, gay, bisexual, transgender (LGBT) individuals, men who have sex with men (MSM), and female sex workers). Eligible participants were young people aged between 18–24 years old and living in Soweto. Data was collected through two peer group discussions with young people aged 18–24 years, a once-off group discussion with the [Name of clinic removed for confidentiality] adolescent community advisory board members and once off face-to-face in-depth interviews with young key population groups: LGBT individuals, MSM, and female sex workers. LGBT individuals are identified as key populations because they face increased vulnerability to HIV/AIDS and other health risks due to societal stigma, discrimination, and obstacles in accessing healthcare and support services. The measures used to collect data included a socio-demographic questionnaire, a questionnaire on mobile phone usage, an HIV and STI risk assessment questionnaire, and a semi-structured interview guide. Framework analysis was used to analyse qualitative data through a qualitative data analysis software called NVivo. Descriptive statistics were summarized using SPSS for participant socio-demographics and mobile phone usage. Of the 40 enrolled participants, 58% were male, the median age was 20 (interquartile range 19–22.75), and 86% had access to the internet. Participants’ recommendations were considered in developing the HIV risk calculator. They indicated a preference for an easy-to-use, interactive, real-time assessment offering discrete and private means to self-assess HIV risk. In addition to providing feedback on the language and wording of the risk assessment tool, participants recommended creating a colorful, interactive and informational app. A collaborative and user-driven process is crucial for designing and developing HIV prevention tools for targeted groups. Participants emphasized that privacy, confidentiality, and ease of use contribute to the acceptability and willingness to use internet-enabled HIV prevention methods.

The Qualitative Analysis Software market has emerged as a critical component in various industries, enabling organizations to gain comprehensive insights from unstructured data. This software facilitates the coding, analysis, and interpretation of qualitative data such as interviews, open-ended survey responses, and

Under the circumstances of “Curriculum ideological and political”, in order to adapt to the reform of college English teaching and the needs of Education for Sustainable Development (ESD), as well as optimize the A-level distinguishable teaching mode of college English stratified teaching, this paper takes the fifth stage of “Production Oriented Approach” (POA) as the theoretical basis and completes a one-semester mixed teaching experiment for the Chinese culture translation section in New Horizon College English. Taking the paragraph translation of “Tai Chi” as an example, a detailed teaching design and implementation process were presented, attempting to construct a sustainable blended teaching model for the cultural translation section of college English. Quantitative and qualitative data statistics and analysis were used to evaluate and reflect on the effectiveness of teaching practice. The research results indicate that compared to traditional college English teaching, blended teaching model based on POA can enhance the English language and cultural output ability of A-level students. The mode is of sustainable value, which is beneficial to students understanding of Chinese culture, thereby enhancing their cultural confidence. In addition, this model can effectively enhance teachers’ ability to apply theoretical knowledge in blended teaching design, which has certain significance for the college English curriculum reform and the practice of “curriculum-based political and ideological education”.

A qualitative study on what influences the well-being of LGBT+ and Black, Black British, Black Caribbean and Black African, and Arab adults, 3 to 26 January 2023.

This replication package contains all code and data necessary to reproduce the results presented in "Cross-Domain Quality Assessment for Complex Qualitative Analysis: Validating Confidence-Entropy Signals Across Legal, Political, and Medical Tasks". Research Context: This study extends beyond accessible coding tasks to validate automated quality assessment for complex qualitative analysis requiring domain expertise and interpretive judgment across legal, political, and medical domains. Package Contents: - Core Scripts: reproduce_all_results.py (main reproduction script), generate_synthetic_data.py (data generator), validate_reproduction.py (result validation) - Data Files: Synthetic datasets matching paper statistics for SCOTUS legal reasoning (390 cases), Hyperpartisan political analysis (644 cases), and MTSamples medical classification (1,000 cases) - Expected Outputs: All LaTeX tables (Table 1-5), validation reports, and cross-domain statistical analyses Key Findings Reproduced: - Cross-domain signal effectiveness (Table 1): Perfect correlation reproduction across all domains (±0.005 accuracy) - Dual-signal weight optimization (Table 2): 6.6-113.7% improvements over single-signal baselines - Cross-domain transferability (Table 3): 88.9% success rate for weight transfer across domains - Intelligent triage efficiency (Table 5): 45.4% vs 44.6% effort reduction (0.8% difference) - Domain-specific patterns: Confidence signals are stronger in legal contexts, and entropy signals are more reliable in political/medical domains Validation Status: Successfully reproduces all core findings with statistical significance maintained across complex analytical tasks. Demonstrates automated quality assessment viability for scaling complex qualitative research beyond accessible coding tasks. Usage: Run ./run_complete_reproduction.sh for complete reproduction, or python3 reproduce_all_results.py for individual table generation. All dependencies included.

The Market Research and Statistical Services industry has performed poorly because of mixed demand across years for market research and related services. Industry revenue is anticipated to shrink at an annualised 1.3% over the five years through 2024-25, totalling $3.6 billion, with revenue falling by 1.5% in the current year. The overall revenue decrease can be attributed to mixed growth in prior years because of uncertainty and demand changes in response to the COVID-19 pandemic and ABS funding volatility. Industry revenue displays significant volatility from year to year, mainly because of fluctuations in ABS funding by the Federal Government. As the next census is set to occur in 2026, ABS revenue over the past two years has been constrained. Some companies that previously used industry businesses have been increasingly performing market research and statistical analysis in-house. Many external companies have improved their technology and data collection capabilities, which has made it more cost-effective to perform these activities internally. While the introduction of artificial intelligence has provided cost-cutting opportunities for market research businesses, it has also encouraged clients to bring industry services in-house, reducing demand. Profitability has also waned because of heightened price competition and wage costs increasing as a share of revenue. Ongoing growth in online media and big data presents both challenges and opportunities for market research businesses. Mounting demand for research and statistics relating to new media audience numbers and advertising effectiveness represents a potential opportunity. Even so, market research businesses will face challenges in developing effective measurement systems, and competition from information technology specialists that are developing similar systems will intensify. Despite these challenges, industry revenue is forecast to increase at an annualised 2.0% through 2029-30 to reach $3.9 billion.

The Qualitative Data Analysis (QDA) software market has become a vital component in various industries, enabling researchers and professionals to decode complex qualitative data efficiently. Organizations across sectors such as healthcare, education, social research, and market research rely on QDA software to analy

Steps for evaluating teaching and steps for evaluating learning.

This project investigates the material experience, particularly the performativity, of an everyday textile-form artefact, namely AnimaTo. We designed AnimaTo to display morphing behaviour when exposed to water over two sequential stages: shrinking and unfolding. Then, we deployed AnimaTo in a two-week longitudinal study, presenting it as an ordinary tea towel and encouraging users to interact as they wished, guided by its evolving shape, size, and texture. We collected in-depth accounts of material experiences from eight households in the Netherlands, combining qualitative and quantitative methods. We collected quantitative and qualitative data via self-reporting, semi-structured interviews and a movement sensor embedded in the artefact. We analysed qualitative data through Thematic Analysis (TA) and qualitative data through summary statistics and visual analysis of the movement data. This dataset includes materials used to conduct the longitudinal field study (participant invitations, instruction cards, interview scripts), additional plots of raw data and a spreadsheet file including codes from the TA of the interviews.

Description: The data set consists of 39 transcripts of interviews with professional health workers. Gauteng province was excluded from the study as approval from Department of Health could not be obtained. Abstract: This project was conceived to investigate the functionality of the South African civil registration and vital statistics system, and to identify those shortcomings that undermine its effectiveness and accuracy in the surveillance of birth and death statistics relative to expectant mother, infants and children. Through a Gap analysis the challenges, bottlenecks and short circuits (the 'gaps') within the surveillance system that serve to compromise the efficiency and effectiveness of the system were identified. The project's aim was to strengthen the existing surveillance strategies for monitoring maternal and child morbidity and mortality in South Africa. The objectives of the project were the following: assess the current surveillance system and strategies for monitoring maternal and child morbidity and mortality in order to identify gaps and challenges within the system; and to describe the availability and performance of maternal, obstetric and infant health care services. The gap analysis included gathering information related to the functioning, challenges and efficiency of the surveillance system at all levels including communities and assessment of the availability and performance of the Civil Registration and Vital Statistics system (CRVS) and maternal and child health (MCH) services. All nine provinces of South Africa were included in the gap analysis. A total of eighteen (18) districts, one urban and one rural per province participated in the gap analysis. The target population included Department of Home Affairs and Department of Health officials working in different components of the CRVS system and MCH respectively at community, facility, district, provincial and national level. It also included all community leaders (these included traditional leaders, community leaders and farm owner/representative), Traditional Birth Attendants (TBAs), community health workers and pregnant women. For the health facility assessment, the target population included selected public health facilities across the nine provinces and health professionals in charge of MCH and notification of diseases and stillbirths. Data collection included both qualitative and quantitative approaches. Digital audio recording Face-to-face interview Focus group Self-completion Professional health care workers responsible for MHC, who support birth and death registration and work or live in the participating communities and were present at the time of the study and have agreed to participate and signed the consent form. Sampling Different sampling methods were used to select districts and participants for the different components of the project. The sampling methods used are discussed below. Sampling of the districts A total of 18 districts (9 rural and 9 urban) were selected. From each province one urban and one rural district were selected to be included in the surveillance. Convenient sampling approach was used to ensure that the selected urban district is the district that hosts the provincial offices and rural district to be the one furthest from the provincial capital. Within each district the following were included in the sample: villages, Department of Home Affairs (DHA) offices (district and local office), urban and informal areas. In total, 18 rural communities (9 rural villages and 9 farms); 18 rural district (local) DHA offices; 18 urban settlements (9 formal & 9 informal); 18 urban district (local) DHA offices were selected. These selected areas formed part of the gap analysis conducted at community level. Convenient sampling approach was used to ensure that the selected DHA offices within the sampled districts were servicing the selected village, farm, informal settlement and formal settlement in that particular district. The sampled villages formed part of the catchment area of the selected health facilities. That is, the health facilities of focus were treated together with their catchment areas as communities. Detailed sampling approaches used to select participants are discussed below.

Scores comparison between pre-test and post-test of “Tai Chi” translation in the experimental group.

Qualitative Testing: 8-15 IDIs recommended Message Variants: 3-6 options with different frames Recall Measurement: Immediate and delayed (24-72 hours) Testing Stages: 3 (Early, Mid, Late)

Description: The data set consists of 15 transcripts of interviews with traditional birth attendants. All nine provinces were included in the study sample, however, no data were collected for TBAs in Eastern Cape and KwaZulu Natal, urban or rural, Limpopo, urban, North West rural, or Western Cape urban, as TBAs’ practice is not encouraged in many communities and finding willing participants was thus a challenge. Abstract: This project was conceived to investigate the functionality of the South African civil registration and vital statistics system, and to identify those shortcomings that undermine its effectiveness and accuracy in the surveillance of birth and death statistics relative to expectant mother, infants and children. Through a Gap analysis the challenges, bottlenecks and short circuits (the 'gaps') within the surveillance system that serve to compromise the efficiency and effectiveness of the system were identified. The project's aim was to strengthen the existing surveillance strategies for monitoring maternal and child morbidity and mortality in South Africa. The objectives of the project were the following: assess the current surveillance system and strategies for monitoring maternal and child morbidity and mortality in order to identify gaps and challenges within the system; and to describe the availability and performance of maternal, obstetric and infant health care services. The gap analysis included gathering information related to the functioning, challenges and efficiency of the surveillance system at all levels including communities and assessment of the availability and performance of the Civil Registration and Vital Statistics system (CRVS) and maternal and child health (MCH) services. All nine provinces of South Africa were included in the gap analysis. A total of eighteen (18) districts, one urban and one rural per province participated in the gap analysis. The target population included Department of Home Affairs and Department of Health officials working in different components of the CRVS system and MCH respectively at community, facility, district, provincial and national level. It also included all community leaders (these included traditional leaders, community leaders and farm owner/representative), Traditional Birth Attendants (TBAs), community health workers and pregnant women. Digital audio recording Face-to-face interview Focus group Self-completion TBAs (women assisting/who have assisted other women during childbirth) who work or live in the participating communities and were present at the time of the study and have agreed to participate and signed the consent form.