SPSS statistics for data analysis and visualization
(eBook)
Author
Contributors
Published
Indianapolis, IN : Wiley, 2017.
Format
eBook
ISBN
1119003555, 1119003660, 1119005574, 1119183421, 9781119003557, 9781119003663, 9781119005575, 9781119183426
Physical Desc
1 online resource
Status
Description
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Subjects
OCLC Fast Subjects
More Details
Language
English
UPC
10.1002/9781119183426
Notes
General Note
Includes index.
Description
This book includes the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python.
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Citations
APA Citation, 7th Edition (style guide)
McCormick, K., Salcedo, J., Peck, J., & Wheeler, A. (2017). SPSS statistics for data analysis and visualization . Wiley.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Keith McCormick et al.. 2017. SPSS Statistics for Data Analysis and Visualization. Wiley.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Keith McCormick et al.. SPSS Statistics for Data Analysis and Visualization Wiley, 2017.
MLA Citation, 9th Edition (style guide)McCormick, Keith, Jesus Salcedo, Jon Peck, and Andrew Wheeler. SPSS Statistics for Data Analysis and Visualization Wiley, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
88312927-1c88-f441-f18a-6ba881183d8c-eng
Grouping Information
| Grouped Work ID | 88312927-1c88-f441-f18a-6ba881183d8c-eng |
|---|---|
| Full title | spss statistics for data analysis and visualization |
| Author | mccormick keith |
| Grouping Category | book |
| Last Update | 2024-10-04 13:10:14PM |
| Last Indexed | 2024-10-04 13:34:02PM |
Marc Record
| First Detected | Oct 01, 2024 04:42:10 PM |
|---|---|
| Last File Modification Time | Oct 04, 2024 01:34:02 PM |
MARC Record
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| 100 | 1 | |a McCormick, Keith|c (Consultant),|e author.|1 https://id.oclc.org/worldcat/entity/E39PCjyWJG9QjPTdW79JMTGRw3|0 http://id.loc.gov/authorities/names/no2014025901 | |
| 245 | 1 | 0 | |a SPSS statistics for data analysis and visualization /|c Keith McCormick, Jesus Salcedo ; with Jon Peck and Andrew Wheeler. |
| 264 | 1 | |a Indianapolis, IN :|b Wiley,|c 2017. | |
| 300 | |a 1 online resource | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 505 | 0 | |a Advanced Statistics -- Advanced Statistics. Comparing and Contrasting IBM SPSS AMOS with Other Multivariate Techniques -- Monte Carlo Simulation and IBM SPSS Bootstrapping -- Regression with Categorical Outcome Variables -- Building Hierarchical Linear Models -- Data Visualization -- Data Visualization. Take Your Data Visualizations to the Next Level -- The Code Behind SPSS Graphics: Graphics Production Language -- Mapping in IBM SPSS Statistics -- Geospatial Analytics -- Perceptual Mapping with Correspondence Analysis, GPL, and OMS -- Display Complex Relationships with Multidimensional Scaling -- Predictive Analytics -- Predictive Analytics. SPSS Statistics versus SPSS Modeler: Can I Be a Data Miner Using SPSS Statistics? -- IBM SPSS Data Preparation -- Model Complex Interactions with IBM SPSS Neural Networks -- Powerful and Intuitive: IBM SPSS Decision Trees -- Find Patterns and Make Predictions with K Nearest Neighbors -- Syntax, Data Management, and Programmability -- Syntax, Data Management, and Programmability. Write More Efficient and Elegant Code with SPSS Syntax Techniques -- Automate Your Analyses with SPSS Syntax and the Output Management System -- Statistical Extension Commands. | |
| 520 | |a This book includes the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed May 23, 2017). | |
| 630 | 0 | 0 | |a SPSS (Computer file)|0 http://id.loc.gov/authorities/names/n88224991 |
| 630 | 0 | 7 | |a SPSS (Computer file)|2 fast |
| 650 | 0 | |a Social sciences|x Statistical methods|x Computer programs. | |
| 700 | 1 | |a Salcedo, Jesus,|e author. | |
| 700 | 1 | |a Peck, Jon,|e author. | |
| 700 | 1 | |a Wheeler, Andrew,|e author. | |
| 776 | 0 | 8 | |i Print version:|a McCormick, Keith (Consultant).|t SPSS Statistics for data analysis and visualization.|d Indianapolis, Indiana : Wiley, ©2017|h xxxviii, 490 pages|z 9781119003557 |
| 856 | 4 | 0 | |u https://www.aclib.us/OReilly |