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About 6,225 papers for “computer-assisted data analysis”

Computer Assisted Clinical Data Analysis

Mitchell H.L., Lippens Marc, Vertrees James et al. · Studies in health technology and informatics · 1994

The Diagnosis Related Groups patient classification scheme coupled with desk top PC technology permits sophisticated analysis of patient medical data. Individuals with no programming knowledge can produce sophisticated analysis. The functionality and structure of the 3M Analytical Workstation are described and example analysis reports are presented.

Cited by 0

COMPUTER ASSISTED WATER QUALITY DATA ANALYSIS

Michael W. Müllen, Stephen R. Smith, Richard E. Price et al. · Lake and Reservoir Management · 1984

ABSTRACT Comparing water quality data with standards, criteria, or management guidelines can be a major part of any water quality assessment. The effort required for manual comparisons of data for a large reservoir or watershed project can become a formidable task. One solution to the problem is to utilize a digital computer in conjunction with appropriate software designed to compare numerical water quality data with Federal and State criteria or standards as well as user-specified management guidelines. Aside from reducing the labor cost of data analysis, more accurate, rapid, and flexible analyses of water quality data can be readily performed. Utilization of such software can also allow a more extensive comparison of water quality data and criteria than would otherwise be possible. A software package of this type has been developed for the U.S. Army Corps of Engineers, Vicksburg District. The program, WATERCHECK, is used primarily in comparing project water quality data with Federal and State standards; a comparison which was not always feasible without the program. The processing of a data set which previously required 2–4 man-days now can normally be accomplished in 1 man-day. WATERCHECK is especially useful for State and regional water quality management organizations responsible for assessment of large amounts of data. User-specified options which allow the data to be compared against criteria or standards for different water use classifications are useful for water resource planning purposes as well as water quality management.

Cited by 1Open access

Computer-Assisted Qualitative Data Analysis Software

Diane Cope · Oncology nursing forum · 2014

Advances in technology have provided new approaches for data collection methods and analysis for researchers. Data collection is no longer limited to paper-and-pencil format, and numerous methods are now available through Internet and electronic resources. With these techniques, researchers are not burdened with entering data manually and data analysis is facilitated by software programs. Quantitative research is supported by the use of computer software and provides ease in the management of large data sets and rapid analysis of numeric statistical methods. New technologies are emerging to support qualitative research with the availability of computer-assisted qualitative data analysis software (CAQDAS).CAQDAS will be presented with a discussion of advantages, limitations, controversial issues, and recommendations for this type of software use.

Cited by 58

Computer‐Assisted Qualitative Data Analysis Software (CAQDAS)

Jérémie Séror · The Encyclopedia of Applied Linguistics · 2021

The digital age has been marked by an explosion in the availability of software programs and applications designed to support research. Word processors, database management software, corpus software, and statistical analysis and programming packages have impacted in fundamental ways how scholars of all persuasions approach and conduct research, including the development of digital tools to support qualitative research. Also known as computer‐assisted qualitative data analysis software (CAQDAS) or qualitative data analysis software (QDAS), these computer programs are designed to assist researchers as they engage in the process and tasks of carrying out qualitative data analysis. This entry provides an overview of the affordances of these tools, including recent developments and their potential to allow researchers to work digitally with qualitative data to enhance the efficiency and validity of the analytical process and its research outcomes.

Cited by 4

Computer-Assisted Analysis of Electronic Transport Data.

J. E. Lang, P. M. Hemenger · Defense Technical Information Center (DTIC) · 1985

A non-linear chisquare minimizing computer program has been developed that identifies impurities and dopants in semiconducting materials and calculates their concentration by fitting temperature dependent Hall data. The program calculates the carrier concentration by solving the charge balance equation and stepping sequentially toward the best fit to the data by varying the concentrations and ionization energies of the impurities. Computer-generated fits to a wide variety of samples have demonstrated the importance of including the correct carrier mass, using the proper Hall scattering factor, employing approximations with discretion, and for some samples including the excited states of the impurity. Emphasis is given to identifying and eliminating sources of error throughout the complete data collection and data analysis sequence. Keywords include: Semiconductor, Silicon, Hall effect, Electrical transport, Computer data analysis, Mobility, Effective mass, and Hall scattering factor.

Cited by 1

Computer‐Assisted Qualitative Data Analysis Software (CAQDAS)

Jérémie Séror · The Encyclopedia of Applied Linguistics · 2025

Abstract The digital age has ushered in a new era of software programs and applications designed to support research. While many of these tools have become commonplace for researchers, tools designed to support qualitative data analysis remain a source of questions regarding their impact, value, and unique affordances for both novice and established qualitative scholars. Also known as computer‐assisted qualitative data analysis software (CAQDAS) or qualitative data analysis software (QDAS), these computer programs are designed to assist researchers as they engage in the process of carrying out qualitative data analysis. This entry provides an overview of the affordances of these tools, including an overview of recent developments and their potential to allow researchers to work digitally with qualitative data to enhance the efficiency and validity of the analytical process and its research outcomes.

Cited by 0

CAQDAS -Computer Assisted Qualitative Data Analysis Software

Ann Lewins · Sociological Research Online · 1996

Research Resource: This project continues in its aims to create networks which reach a wide audience of researchers using qualitative data sources. The project is co-directed by Nigel Fielding, University of Surrey and Ray Lee, Royal Holloway,University of London; Ann Lewins is the project resource officer based at Surrey University. It sets out to disseminate information about computer assisted qualitative data analysis (CAQDAS), makes available a number of CAQDAS resources, and creates platforms for the debate which concerns the use and development of CAQDAS. http://www.soc.surrey.ac.uk/caqdas/

Cited by 5

Computer-assisted analysis of adenosine triphosphate data

Carl W. Erkenbrecher, S J Crabtree, L. Harold Stevenson · Applied and Environmental Microbiology · 1976

A computer program has been written to assist in the analysis of adenosine 5'-triphosphate data. The program is designed to calculate a dilution curve and to correct sample and adenosine 5'-triphosphate standard data for background and dilution effects. In addition, basic statistical parameters and estimates of biomass carbon are also calculated for each group of samples and printed in a convenient format. The versatility of the program to analyze data from both qauatic and terrestrial samples is noted as well as its potential use with various types of instrumentation and extraction techniques.

Cited by 3Open access

Computer assisted microdentsitometric analysis of footprinting autoradiographic DATA

James C. Dabrowiak, Andrew Skorobogaty, Ned Rich et al. · Nucleic Acids Research · 1986

A system comprised of a linear scanning microdensitometer interfaced to a personal computer has been developed to facilitate analysis of ligand-DNA footprinting autoradiograms. The system, which can be used to record density and sequence information from autoradiographic films, enables the user to relate the area under an autoradiographic band to the concentration of radiolabeled molecules present in the electrophoresis gel. This report describes the computer program which performs the calculations and discusses the ability of the system to accurately determine oligonucleotide concentration, as a function of band separation, photographic response, and the computational algorithm used to calculate band areas.

Cited by 26Open access