Quantitative data analysis for social scientists / Alan Bryman and Duncan Cramer.
By: Bryman, Alan
.
Contributor(s): Cramer, Duncan.
Material type: 
BookPublisher: London ; New York : Routledge, 1990Description: xiv, 290 p. : ill. ; 24 cm. + pbk.ISBN: 0415026644; 0415026652 .Subject(s): SPSS (Computer file) | Social sciences -- Computer programs | Analysis of varianceDDC classification: 519.5 | Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 519.5 (Browse shelf(Opens below)) | 1 | Available | 00030603 |
Enhanced descriptions from Syndetics:
Composite decisions consist of interconnected parts or subdecisions and correspond to a composite (composable, modular, decomposable) system. The composite decision approach extends the traditional paradigm of decision making of Herbert A. Simon, i.e. choice of the best alternative(s), and realizes a two-stage solving scheme: (a) the selection of alternatives as the best subdecisions or local decisions and (b) composition of the selected local decisions into a composite global decision while taking into account the quality of the local decisions and their compatibility.
Composite Systems Decisions describes an educational approach that is based on systems engineering and considered modular design of composite decisions. Divided into four parts, this book contains descriptions of basic systems approaches and examines basic technological problems for composite systems, including: modular hierarchical design; multistage design; multistage planning; redesign/improvement/adaptation; evaluation; and, combinatorial evolution/development.
Applied researchers, undergraduate and graduate students, and practitioners in many domains will find Composite Systems Decisions a valuable reference. The basic systems problems, solving schemes, and applied examples contained in the book will also be of interest to various scientists (e.g., mathematicians, computer scientists, economists, social engineers, etc.).
Bibliography: (pages 283-285) and index.
Data analysis and the research process -- Analysing data with computers: first steps with SPSS-X and SPSS/PC+ -- Analysing data with computers: further steps with SPSS-X and SPSS/PC+ -- Concepts and their measurement -- Summarizing data -- Sampling and statistical significance -- Bivariate analysis: exploring differences between scores on two variables -- Bivariate analysis: exploring relationships -- Multivariate analysis: exploring differences among three or more variables -- Multivariate analysis: exploring relationships among three or more variables -- Aggregating variables: exploratory factor analysis.