Search PubMed⌕ Search

PubMed · 13853393

Library.

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

L D KING. 1960. Library.. https://pubmed.ncbi.nlm.nih.gov/13853393/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

GIS: a biomedical text-mining system for gene information discovery.

UNLABELLED: We present a biomedical text-mining system focused on four types of gene-related information: biological functions, associated diseases, related genes and gene-gene relations. The aim of this system is to provide researchers an easy-to-use bio-information service that will rapidly survey the rapidly burgeoning biomedical literature. AVAILABILITY: http://iir.csie.ncku.edu.tw/~yuhc/gis/

Abstracting and Indexing↗

PARIS: a proteomic analysis and resources indexation system.

UNLABELLED: We developed a system for managing data from two-dimensional electrophoresis-based proteomic experiments. Named PARIS, the system stores gel image and information about experiments and analysis procedures, allows the user to search and navigate in genomic and proteomic data, supports visual verification and validation of the analysis results, and provides tools for cross multi-experiment and multi-experimenter data validation and exploration. AVAILABILITY: The software is freely available from http://www.inra.fr/bia/J/imaste/Projets/PARIS/index.html

Abstracting and Indexing↗

Increasing the visibility of coding decisions in team-based qualitative research in nursing.

OBJECTIVES: To examine the use of the multi-rater Kappa measure of agreement (Nonparametric Statistics for the Behavioural Sciences, McGraw Hill, New York, 1988) in team based, mixed method, qualitative nursing research. DESIGN: The article presents an illustrative description of the application of the qualitative coding procedure and associated multi-rater Kappa measurement at four time points in 9 months amongst a five person health services research team. MAIN OUTCOME MEASURES: The multi-rater Kappa statistic. This is a measure of the extent to which observers achieve possible agreement beyond any agreement expected to occur by chance alone. RESULTS: Closeness to primary qualitative research data, working relationships over time, and focused research team discussion can all lead to greater agreement and convergence at the level of descriptive coding. The method of measuring agreement between groups of coders was easily applied and appeared a feasible option for similar research projects wishing to demonstrate transparency in their coding procedures. CONCLUSION: Measuring agreement beyond chance by the multi-rater Kappa statistic has some utility for research teams whose qualitative coding tasks are primarily descriptive. The method offers a standard and transparent approach for demonstrating agreement between coders and should be a feature of qualitative research reporting where appropriate.

Abstracting and Indexing↗