This second edition presents a simplified approach to the classification of fundamental statistical methods in psychiatry research that are precise and simple. Mental health professionals without any mathematical background learn the relevant statistical methods along with analysis and interpretation of the results.
This second edition presents a simplified approach to the classification of fundamental statistical methods in psychiatry research that are precise and simple. Mental health professionals without any mathematical background learn the relevant statistical methods along with analysis and interpretation of the results.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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
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
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