Data analysis in management with SPSS software / J.P. Verma.
By: Verma, J. P.Call number: HA32 V47 2013 Material type: TextPublisher: New Delhi ; New York, N.Y. : Springer, c2013.Description: xxi, 481 p. : ill. ; 24 cm..ISBN: 8132207858 ; 9788132207856Subject(s): SPSS (Computer file) | Social sciences -- Statistical methods -- Computer programs. | Database management. | Mathematical statistics -- Data processing.
|Item type||Location||Location||Call number||Copy number||Barcode||Status||Date due|
|General Book||ODI General Collection||ODI General Collection||HA32 V47 2013 (Browse shelf)||1||1000197104||Available|
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|HA32 S63 2009 SPSS statistics for social scientists /||HA32 S67 1997 SPSS : SPSS Advanced Statistics 7.5 /||HA32 S8 2020 Design and analysis in educational research :||HA32 V47 2013 Data analysis in management with SPSS software /||HA32 W34 2013 Using IBM SPSS statistics for research methods and social science statistics /||HA32 W48 2011 Analyzing quantitative data : an introduction for social researchers /||HA33 ก64 2548 สถิติสำหรับงานวิจัย /|
Includes bibliographical references (p. 469-474) and index.
1. Data management -- 2. Descriptive analysis -- 3. Chi-square test and its application -- 4. Correlation matrix and partial correlation: explaining relationships -- 5. Regression analysis and multiple correlations: for estimating a measurable phenomenon -- 6. Hypothesis testing for decision-making -- 7. One-way ANOVA: comparing means of more than two samples -- 8. Two-way analysis of variance: examining influence of two factors on criterion variable -- 9. Analysis of covariance: increasing precision in comparison by controlling covariate -- 10. Cluster analysis: for segmenting the population -- 11. Application of factor analysis: to study the factor structure among variables -- 12. Application of discriminant analysis: for developing a classification model -- 13. Logistic regression: developing a model for risk analysis -- 14. Multidimensional scaling for product positioning.
This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural science.