Statistical and Graphical Research Methods: State of the Art
- 1 December 1989
- journal article
- research article
- Published by SAGE Publications in Social Science Computer Review
- Vol. 7 (4) , 503-534
- https://doi.org/10.1177/089443938900700409
Abstract
Recent developments in software products have provided researchers with an opportunity for more effective data analysis and presentation of findings. In addition to expanding researchers' options for data analysis and presentation, the easy-to-use interfaces of new software products will likely decrease the amount of time spent in and improve the results of such activities. This paper discusses the capabilities of several statistics and graphics packages, file conversion software, and expert systems for study design and data analysis. In order to provide researchers flexibility in moving from data analysis to presentation of results, particular attention is paid to the linkages among statistical and graphical packages. By bringing these methodological advances to researchers' attention, it is expected that the research enterprise will be enhanced as the researcher finds greater freedom to display research results graphically. Keywords: computing, statistical packages, data graphics, expert systems.Keywords
This publication has 9 references indexed in Scilit:
- Microcomputers and Statisticians: A 1988 PerspectiveSocial Science Computer Review, 1988
- Software Reviews : Econometric-Forecasting Microcomputer Software: Capabilities, Ease of Use, and CostSocial Science Computer Review, 1988
- Incorporating Graphics in Automated Social Science Examinations/ Thomas Palm, Portland State UniversitySocial Science Computer Review, 1988
- Software Tools for Data Collection: Microcomputer-Assisted InterviewingSocial Science Computer Review, 1988
- Thematic Mapping With Microcomputers: Graphic Display of Social Scientific DataSocial Science Computer Review, 1988
- The Evolving Statistics and Research Process Using Microcomputer Statistical SoftwareSocial Science Microcomputer Review, 1987
- Graphical Views of Nonlinear RegressionSocial Science Microcomputer Review, 1987
- The Future for "User Friendly" Microcomputer Statistical Software: SPSS/PC and SPSS/PC+ as ExamplesSocial Science Microcomputer Review, 1985
- Statistical Packages for Microcomputers: New Vistas for Social Science Researchers in 1985Social Science Microcomputer Review, 1985