000			02136pam a2200289 a 4500
999			_c26522 _d26522
001			60514
020			_a978-0335242399
040			_aICrlF
082	0	4	_a300/.285/55
100	1		_aPallant, Julie _942539
245	1	0	_aSPSS survival manual : _ba step by step guide to data analysis using SPSS _cJulie Pallant
246	3		_aA step by step guide to data analysis using the SPSS program
250			_a4th ed.
260			_aBerkshire : _bMcGraw-Hill, _cc2010.
300			_axiv, 345 p. : _bill. ; _c26 cm.
504			_aIncludes bibliographical references (p. 334-340) and index.
505	0		_aPreface Data files and website Introduction and overview Part One: Getting started Designing a study Preparing a codebook Getting to know SPSS Part Two: Preparing the data file Creating a data file and entering data Screening and cleaning the data Part Three: Preliminary analyses Descriptive statistics Using graphs to describe and explore the data Manipulating the data Checking the reliability of a scale Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables Correlation Partial correlation Multiple regression Logistic regression Factor analysis Part Five: Statistical techniques to compare groups Non-parametric statistics T-tests One-way analysis of variance Two-way between-groups ANOVA Mixed between-within subjects analysis of variance Multivariate analysis of variance Analysis of covariance Appendix: Details of data files Recommended reading References Index.
520			_aIn this thoroughly revised fourth edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project.
521	2		_aAdult
521	2		_aAdult
650		0	_aSocial sciences _xResearch _xStatistical methods _942540
650		0	_aSocial sciences _xStatistical methods _xComputer programs _92512
650		7	_aSocial sciences _xResearch _96279
650		7	_aSocial sciences _xComputer software _942541
856			_uhttps://uowd.box.com/s/8b5ck3vz5lb0u5kmte84oe28ro092l28 _zLocation Map
942			_cREGULAR _2ddc