M Venkataswamy Reddy

Statistical Methods in Psychiatry Research and SPSS

• Broschiertes Buch

Produktbeschreibung

This volume, Statistical Methods in Psychiatry Research and SPSS, now going into its second edition, has been helping psychiatrists expand their knowledge of statistical methods and fills the gaps in their applications as well as introduces data analysis software. It addresses the statistical needs of physicians and presents a simplified approach. The book emphasizes the classification of fundamental statistical methods in psychiatry research that are precise and simple. Professionals in the field of mental health and allied subjects without any mathematical background will easily understand all the relevant statistical methods and carry out the analysis and interpret the results in their respective field without consulting any statistician. This new volume has over 100 pages of new material, including several new appendixes. The sequence of the chapters, the sections within the chapters, the subsections within the sections, and the points within the subsections have all been arranged to help professionals in classification refine their knowledge in statistical methods and fills the gaps.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• 2nd edition
• Seitenzahl: 426
• Erscheinungstermin: 31. März 2021
• Englisch
• Abmessung: 229mm x 152mm x 23mm
• Gewicht: 585g
• ISBN-13: 9781774634561
• ISBN-10: 1774634562
• Artikelnr.: 69929828

Autorenporträt

M. Venkataswamy Reddy, PhD, is a retired professor and former Head of the Department of Biostatistics at the National Institute of Mental Health and Neuro-Sciences (NIMHANS), Banglore, India.

Inhaltsangabe

1. Psychiatry Research 2. Observational Studies 3. Experimental Studies 4.
One-Variable Descriptive Statistics 5. Mental Health Statistics 6.
Probability and Probability Distributions 7. Sampling Theory and Methods 8.
Basic Elements of Statistical Inference 9. Parametric Tests of Significance
10. Experimental Data Analysis: ANOVA 11. Non-Parametric Tests of
Significance 12. Correlation Analysis and Regression Analysis 13.
Reliability Analysis and Validity Analysis 14. Survival Analysis and Time
Series Analysis 15. Multivariate Statistical Methods 16. Cluster Analysis
17. Discriminant Analysis 18. Factor Analysis 19. Meta-Analysis 20.
Reporting the Results 21. Statistical Packages for Social Sciences 22.
Running Data Analysis Using SPSS