000			01667nam a22002297a 4500
003			AUA.1
005			20210324105849.0
008			160301t xxu||||| |||| 00| 0 eng d
010			_a2012043929
020			_a9781412997515 (pbk. : acid-free paper)
040			_cJTL
050			_aHA32 _b.P37 2013
100			_aParke, Carol S. _952825
245			_aEssential first steps to data analysis : _bscenario-based examples using SPSS / _cCarol S. Parke.
260			_aLos Angeles: _bSAGE Publications, Inc. _c[2013]
300			_axxi, 265 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references (page 261) and index.
505			_a Section 1. The Sample Module 1. Checking the Representativeness of a Sample Module 2. Splitting a File, Selecting Cases, Creating Standardized Values and Ranks Section 2. Nature and Distribution of Variables Module 3. Recoding, Counting, and Computing Variables Module 4. Determining the Scale of a Variable Module 5. Identifying and Addressing Outliers Section 3. Model Assumptions Module 6. Evaluating Model Assumptions for Testing Mean Differences Module 7. Evaluating Model Assumptions for Multiple Regression Analysis Section 4. Missing Data Module 8. Determining the Quantity and Nature of Missing Data Module 9. Quantifying Missing Data and Diagnosing its Patterns Section 5. Working with Multiple Data Files Module 10. Merging Files Module 11. Aggregating Data and Restructuring Files Module 12. Identifying a Cohort of Students
650			_aSPSS (Computer file) _952826
650			_aSocial sciences _vStatistical methods _xData processing. _952827
942			_2lcc _cRESC _hHA 32 _i.P37 2013
999			_c14561 _d14561