Interpreting quantitative data: with IBM spss statistics / Rachard antonius
Material type: TextLanguage: English Publication details: Sage, 2013. New Delhi:Edition: 2nd edDescription: xxvi, 343 pISBN:- 9781446207437
- 300.727 ANT-I
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Books | Library, SPAB D-1 | Non Fiction | 300.727 ANT-I (Browse shelf(Opens below)) | Available | 007507 |
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300.723 WOL-W Writing up qualitative research / | 300.724 KIR-E Experimental design: | 300.724 RES Research design: Donald Campbell's legacy / | 300.727 ANT-I Interpreting quantitative data: | 300.727 ROY-S Statistical survey design and evaluating impact. | 300.728 ADV Advances in visual methodology / | 300.92 MNS M. N. Srinivas: the man and his work |
The basic language of statistics --
The research process --
Univariate descriptive statistics --
Graphical representations --
Creating new variables with SPSS --
Normal distributions and sampling distributions --
Sampling designs --
Estimation --
Hypothesis testing --
Correlation and the regression line --
Two-way tables and the chi-squared test --
t-tests and ANOVA --
Appendix I : Reporting a quantitative analysis --
Appendix II : How to create a data file in SPSS --
Appendix III : Area under the normal curve --
Appendix IV : Table of random numbers.
The Second Edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analyzing qualitative data with IBM SPSS Statistics for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how IBM SPSS Statistics can be used as a tool to aid analysis. Key Features of the Second Edition: * New chapters on ANOVA Factor Analysis and General Multilinear Model * IBM SPSS Statistics lab sessions following each chapter which demonstrate how IBM SPSS Statistics can be used in practice * Sets of exercises and 'real-life' examples to aid teaching and learning * Lists of key terms and further reading to
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