000 02326nam a2200289ui 4500
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008 161109s2003 uk a f 001 0 eng d
020 _a9780335200597
020 _a0335200591
040 _aUCA-CCE
_bspa
041 _aeng
100 1 _aCramer, Duncan
245 1 0 _aAdvanced quantitative data analysis /
_cDuncan Cramer
260 _aMaidenhead (Berkshire) :
_bOpen University Press,
_c 2003
300 _aXI, 254 p. :
_bil. ;
_c23 cm.
440 0 _aUnderstanding Social Research
500 _aÍndice
504 _aBibliografía: p. [245]-246
520 _aThere are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book:- concise and accessible introduction to calculating and interpreting advanced statistical techniques- use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique- succinct illustration of writing up the results of these analyses- minimum of mathematical, statistical and technical notation- annotated bibliography and glossary of key conceptsCommonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.
650 0 4 _aEstadística matemática
_94009
650 0 4 _aCiencias sociales
_xMétodos estadísticos
_95965
650 0 4 _aInvestigación cuantitativa
_917146
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907 _amld
_bcrsp161130
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_n0
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