European journal of research methods for the behavioral and social sciences Impact Factor 2024-2025 - ResearchHelpDesk - Methodology is the successor of the two journals Metodologia de las Ciencias del Comportamiento and Methods of Psychological Research-Online (MPR-Online). Methodology is the official organ of the European Association of Methodology (EAM), a union of methodologists working in different areas of the social and behavioral sciences (e.g., psychology, sociology, economics, educational and political sciences). The journal provides a platform for interdisciplinary exchange of methodological research and applications in the different fields, including new methodological approaches, review articles, software information, and instructional papers that can be used in teaching. Three main disciplines are covered: data analysis, research methodology, and psychometrics. The articles published in the journal are not only accessible to methodologists but also to more applied researchers in the various disciplines. Abstract & indexing Social Sciences Citation Index (SSCI), Current Contents/Social & Behavioral Sciences (CC/S&BS) (since 2009), PsycINFO, PSYNDEX, ERIH and Scopus.

In 2024, when corporations and educational institutions based in the United States were asked to report on the training delivery method of their company, the most popular training delivery method overall was online or computer-based methods. Large companies, however, preferred a virtual clasroom or webcast.

Nature Methods Impact Factor 2024-2025 - ResearchHelpDesk - Nature Methods is a monthly journal publishing novel methods and significant improvements to basic life sciences research techniques. All editorial decisions are made by a team of full-time professional editors. Nature Methods is a forum for the publication of novel methods and significant improvements to tried-and-tested basic research techniques in the life sciences. This monthly publication is aimed at a broad, interdisciplinary audience of academic and industry researchers actively involved in laboratory practice. It provides them with new tools to conduct their research and places a strong emphasis on the immediate practical relevance of the work presented. The journal publishes primary research papers as well as overviews of recent technical and methodological developments. We are actively seeking primary methods papers of relevance to the biological and biomedical sciences, including methods grounded in chemistry that have a practical application to the study of biological problems. To enhance the practical relevance of each paper, description of the method must be accompanied by its validation, its application to an important biological question and results illustrating its performance in comparison to available approaches. Articles are selected for publication that present broad interest, thorough assessments of methodological performance and comprehensive technical descriptions that facilitate immediate application. Specific areas of interest include, but are not limited to: Methods for nucleic acid manipulation, amplification and sequencing Methods for protein engineering, expression and purification Methods for proteomics, including mass spectrometry, analysis of binding interactions, microarray-based technologies, display techniques, analysis of post-translational modifications, glycobiology and metabolomics Methods for systems biology, including proteomics approaches, protein interaction analysis methods and genome wide expression and regulation profiling Biomolecular structural analysis technologies, including NMR and crystallography Chemical biology techniques, including chemical labeling, methods for expanding the genetic code and directed evolution Biophysical methods, including single molecule and lab-on-a-chip technologies Optical and non-optical imaging technologies, including probe design and labeling methods, microscopy, spectroscopy and in vivo imaging Techniques for the analysis and manipulation of gene expression, including epigenetics, gene targeting, transduction, RNA interference and microarray-based technologies Methods for cell culture and manipulation, including stem cells, single cell methods and lab-on-a-chip technologies Immunological techniques, including production of antibodies, antibody-based assays and immunolabeling Methods for the study of physiology and disease processes including cancer Methods involving model organisms and their manipulation and phenotyping Computational and bioinformatic methods for analysis, modeling or visualization of biological data Nanotechnology-based methods applied to basic biology

The meta data for the tables and figures are described in the Legends, Methods and Supplementary data files. This dataset is associated with the following publication: Surette, M., D.M. Mitrano, and K. Rogers. Extraction and Concentration of Nanoplastic Particles from Aqueous Suspensions using Functionalized Magnetic Nanoparticles and a Magnetic Flow Cell. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,

Journal of methods and measurement in the social sciences - ResearchHelpDesk - The Journal of Methods and Measurement in the Social Sciences (JMM) is an online scholarly publication focusing on methodology and research design, measurement, and data analysis – providing a new venue for unique and interesting contributions in these study areas which frequently overlap. Focus and Scope The Journal of Methods and Measurement in the Social Sciences (JMM) publishes articles related to methodology and research design, measurement, and data analysis. The journal is published twice yearly, and features theoretical, empirical, and educational articles. JMM is meant to further our understanding of methodology and how to formulate the right questions. It is broadly concerned with improving the methods used to conduct research, the measurement of variables used in the social sciences, and improving the applications of data analysis. In addition to research articles, JMM welcomes instructional articles and brief reports or commentaries. We welcome sound, original contributions.

In 2023, current employee referrals were the top recruitment method for companies in the United States. Free job boards were also a popular option, with 71 percent of companies surveyed mentioning this as their preferred recruitment method.

This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a subscale Solid Rocket Motor (SRM). This study compares Orca, one-class support vector machines, and the Inductive Monitoring System (IMS) for anomaly detection on the data streams. We measure the performance of the algorithm with respect to the detection horizon for situations where fault information is available. These algorithms have been also studied by the present authors (and other co-authors) as applied to liquid propulsion systems. The trade space will be explored between these algorithms for both types of propulsion systems.

Regression ranks among the most popular statistical analysis methods across many research areas, including psychology. Typically, regression coefficients are displayed in tables. While this mode of presentation is information-dense, extensive tables can be cumbersome to read and difficult to interpret. Here, we introduce three novel visualizations for reporting regression results. Our methods allow researchers to arrange large numbers of regression models in a single plot. Using regression results from real-world as well as simulated data, we demonstrate the transformations which are necessary to produce the required data structure and how to subsequently plot the results. The proposed methods provide visually appealing ways to report regression results efficiently and intuitively. Potential applications range from visual screening in the model selection stage to formal reporting in research papers. The procedure is fully reproducible using the provided code and can be executed via free-of-charge, open-source software routines in R.

According to a survey of global consumers conducted in December 2023, SMS and text messages were the most popular method for communication with friends and family. Almost a third of respondents reported preferring mobile phone calls. In comparison, only eight percent of respondents reported making video calls, while audio messages and voice notes were used by around four percent of respondents.

This dataset contains raw datafiles that support the development of rapid gas chromatography mass spectrometry (GC-MS) methods for seized drug analysis. Files are provided in the native ".D" format collected from an Agilent GC-MS system. Files can be opened using Agilent proprietary software or freely available software such as AMDIS (which can be downloaded at chemdata.nist.gov). Included here is data of seized drug mixtures and adjudicated case samples that were analyzed as part of the method development process for rapid GC-MS. Information about the naming of datafiles and the contents of each mixture and case sample can be found in the associated Excel sheet ("File Names and Comments.xlsx").

The Everyday Itinerary Dataset is the first public-use dataset in the Dunham's Data series, a unique data collection created by Kate Elswit (Royal Central School of Speech and Drama, University of London) and Harmony Bench (The Ohio State University) to explore questions and problems that make the analysis and visualization of data meaningful for dance history through the case study of choreographer Katherine Dunham. It is a manually curated dataset of Katherine Dunham's touring from 1937-1962, encompassing Dunham's daily locations, travel, and performances. This dataset tracks geographic location and, less comprehensively, the accommodation in which Dunham stayed each night; the theatres, nightclubs, television studios, and other places where she and the company performed; the modes of transportation used when travel occurred; additional transit cities through which she passed; and whether or not Dunham was likely to be in rehearsals or giving public performances. Dunham's Data: Digital Methods for Dance Historical Inquiry is funded by the United Kingdom Arts and Humanities Research Council (AHRC AH/R012989/1, 2018-2022) and is part of a larger suite of ongoing digital collaborations by Bench and Elswit, Movement on the Move. The Dunham's Data team also includes digital humanities postdoctoral research assistant Antonio Jiménez-Mavillard and dance history postdoctoral research assistants Takiyah Nur Amin and Tia-Monique Uzor.

ITS data collected as part of Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study. Code used to analyse the ITS studies.

The methods are applied to the All Fields citation network and different statistics of the clusterings with and without post-processing are shown. See Methods for the definitions of the statistics and the details of the clustering post-processing approach.

The purpose of the Tribal Youth Victimization Study (TYVS) was to develop and test survey research methods to assess American Indian (AI) and Alaska Native (AN) youth exposure to violence and youth victimization and to identify the factors of the exposure to victimization and its impact. The American Indian Development Associates, (AIDA) LLC conducted the study in partnership with several tribal communities and organizations. The goal is to develop a research strategy and survey instrument for collecting information on the violence and victimization experiences of American Indian and Alaska Native youth in tribal communities and other settings throughout the country. The study purpose is to determine and pilot test the tools and methods for conducting a future national level study. The data will be used to guide survey development, protocols and administration in tribal and other settings. This study included five (5) required tasks that framed the approach, methods, approvals, and deliverables, divided into three stages focused on three distinct phases - instrumentation, cognitive testing, and pilot testing. Phase 1 focused on development of the survey and the methods for survey administration to be tested. No data was collected during Phase 1 and was exempted from IRB review by the University of Nevada Las Vegas Human Subjects Biomedical Review Board. Phase 2 focused on testing recruitment methods and cognitive testing of the draft survey instrument. Phase 3 focused on pilot test site recruitment, pilot testing a revised version of the survey instrument, testing of three modes of administration, and testing alternative approaches to incentives.

Notes: DMC, data collection method; MCOD, medical certification of death; VA, verbal autopsy; COD, cause-of-death.Data collection methods for vital statistics.

This dataset is about book subjects, has 1 rows and is filtered where the books is Statistical methods in language and linguistic research. It features 10 columns including book subject, number of authors, number of books, earliest publication date, and latest publication date. The preview is ordered by number of books (descending).

This dataset is about books, has 1 rows and is filtered where the book is Methods and applications of statistics in the atmospheric and earth sciences. It features 7 columns including book, author, publication date, language, and book publisher. The preview is ordered by publication date (descending).

According to a survey conducted in 2024, shoppers in the United States primarily use cards when making purchases on social media. About 49.4 percent of the survey respondents used debit cards when purchasing products via social media platforms, while around 47.7 percent used credit cards. PayPal was another popular payment method, it was utilized by around 39.3 percent of social buyers.

The document presents the methods, formulas and citations used by the BNDO to process physical, chemical, and biological data for deep hydrology including calculations, interpolations, smoothing, and reductions.

During a late 2023 survey among working-age consumers in the United Kingdom, 47.8 percent of respondents stated that they preferred for their data to be collected via interactive surveys. Meanwhile, 47.6 percent of respondents mentioned loyalty cards/programs as their favored data collection method.