Posted by **insetes** at Oct. 10, 2017

2016 | 400 Pages | ISBN: 033526154X | PDF (conv) | 3 MB

Posted by **U.N.Owen** at Oct. 2, 2017

Size: 413 MB | Duration: 2h 42m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch | Subtitles

Explore how to run tests for academic research with SPSS, the leading statistical software.

Posted by **Grev27** at Oct. 1, 2017

English | ISBN: 1506377432 | 2017 | EPUB | 480 pages | 10,5 MB

Posted by **AlenMiler** at Sept. 26, 2017

English | 22 Sept. 2017 | ISBN: 178728381X | ASIN: B0728K1C3F | 446 Pages | AZW3 | 13.75 MB

Posted by **hill0** at Sept. 13, 2017

4790466

**Multilevel and Longitudinal Modeling with IBM SPSS (Quantitative Methodology Series) by Ronald H. Heck**

English | 29 Aug. 2013 | ISBN: 0415817110 | 462 Pages | PDF | 14.7 MB

This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED).

English | 29 Aug. 2013 | ISBN: 0415817110 | 462 Pages | PDF | 14.7 MB

This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED).

Posted by **hill0** at Sept. 10, 2017

English | 31 May 2012 | ISBN: 1848729553 | 456 Pages | PDF | 8.1 MB

This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes.

Posted by **Bayron** at Sept. 10, 2017

German | 2017 | ISBN: 3527714065 | 755 pages | EPUB | 31 MB

Posted by **nebulae** at Aug. 9, 2017

English | 3 Aug. 2017 | ISBN: 3319564803 | 178 Pages | PDF | 8.82 MB

Posted by **nebulae** at July 11, 2017

2014 | ISBN-10: 1439890218 | 561 pages | PDF | 26 MB

Posted by **hill0** at July 6, 2017

English | 3 Aug. 2017 | ISBN: 3319564803 | 178 Pages | PDF | 8.82 MB

This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables.