01554nam a22002057a 4500003000600000005001700006008004100023010001500064020004300079040000800122050002100130100002000151245010200171260005100273300003600324504006200360505084200422650002501264650005901289AUA.120210324105849.0160301t        xxu||||| |||| 00| 0 eng d  a2012043929  a9781412997515 (pbk. : acid-free paper)  cJTL  aHA32 b.P37 2013  aParke, Carol S.  aEssential first steps to data analysis : bscenario-based examples using SPSS / cCarol S. Parke.  aLos Angeles: bSAGE Publications, Inc.c[2013]  axxi, 265 p. : bill. ; c24 cm.  aIncludes bibliographical references (page 261) and index.  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  aSPSS (Computer file)  aSocial sciencesvStatistical methodsxData processing.