Psychology, Psychiatry & Mental Health

Statistical Methods in Psychiatry Research and SPSS, 2nd Edition
By: M. Venkataswamy Reddy, PhD

Statistical Methods in Psychiatry Research and SPSS, 2nd Edition

Published. Available now.
Pub Date: January 2019
Hardback Price: See Ordering info
Hard ISBN: 9781771887816
Paperback ISBN: 978-1-77463-456-1
E-Book ISBN: 9780429023309
Pages: 442pp w/index
Binding Type: hardbound / ebook / paperback
Notes: 103 b/w illustrations


Reviews
REVIEW OF THE FIRST EDITION:
“Practicing physicians and psychiatrists, even those with academic pretensions, are often overwhelmed by study designs and statistical analysis. . . . The author [of this book] has recognized the statistical needs of physicians and has attempted to present a simplified approach to statistics. The book provides an overview of psychiatric research, classifies statistical methods, describes types of data and variables, introduces quantitative and qualitative variables, elaborates study designs, discusses descriptive statistics, illuminates the basis of statistical inference, explains statistical tests of significance, and introduces correlational, multivariate, and meta-analysis. Each chapter focuses on a single aspect, introduces the issues, describes statistical theory, and provides examples. It also provides details of how to use the Statistical Package for Social Sciences (IBM SPSS Statistics) computer program for such analysis. The book is an attempt to fill the long felt need for a simple statistical text, useful for physicians and psychiatrists. . . . It will certainly help those who have a basic familiarity with statistical methods and analysis . . . . The book steps in the right direction for those who want to independently analyze and interpret data.”
Indian Journal of Psychiatry, by K. S. Jacob, Department of Psychiatry, Christian Medical College, Vellore, Tamil Nadu, India


Now Available in Paperback


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, addressing their statistical needs in a simplified approach. The volume introduces data analysis software and 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 the need to consult a 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. Emphasizing simplicity, the fundamental statistical methods are demonstrated by means of arithmetical examples that may be reworked with pencil and paper in a matter of minutes, which will add to their perfection. The results of the rework have to be checked by using SPSS, and in this way professionals are introduced to this psychiatrist-friendly data analysis software.

The language of the book is very simple and covers all aspects of statistical methods starting from organization and collection of data to descriptive statistics, statistical inference, multivariate analysis and meta-analysis. There are two chapters on computer applications that deal with the most popular data analysis software: SPSS.

This second edition will continue to be valuable to professionals and post-graduate students in psychiatry and allied fields, such as psychiatric social work, clinical psychology, psychiatric nursing, and mental health education and mental health administration.

Key features:
  • Addresses the statistical needs of physicians and presents a simplified approach to statistics
  • Provides an overview of psychiatric research
  • Classifies statistical methods
  • Describes types of data and variables
  • Introduces quantitative and qualitative variables
  • Elaborates on study designs
  • Discusses descriptive statistics
  • Illuminates the basis of statistical inference
  • Explains statistical tests of significance
  • Introduces correlational, multivariate, and meta-analysis
  • Includes informative appendixes that cover probability distribution tables, empirical classification of child psychiatric disorders, and more

CONTENTS:
Preface

Chapter 1. Psychiatry Research
Research Questions in Psychiatry
Research Approaches
Protocol Writing for Quantitative Studies
Variables in Psychiatry
Statistical Methods in Psychiatry Research
Steps in Writing a Protocol for Quantitative Studies

Chapter 2. Observational Studies
Case-Series Analysis
Cross-Sectional Studies
Longitudinal Studies

Chapter 3. Experimental Studies
Basic Elements of Experiments
Parallel Control Clinical Trials
Further Control Clinical Trials
Informal Designs of Experiments
Formal Designs of Experiments

Chapter 4. One-Variable Descriptive Statistics
Classification and Tabulation of Data
Graphical Representation of Classified Data
Summarizing Data: Averages
Summarizing Data: Dispersion
Summarizing Data: Skewness and Kurtosis
Descriptive Statistics for Spatial Data
Descriptive Statistics for Time-Related Data

Chapter 5. Mental Health Statistics
Demographic Indicators
Demographic Indicators of India
Measures of Mental Morbidity
Mental Morbidity in India
Mental Health Delivery Systems in India
Mental Health Service Indicators
A Proforma to Collect Basic Information of Mental Hospitals
Service Indicators of Government Mental Hospitals in India
Comparison of Psychiatric Patient Population, Government Mental Hospitals, and General Hospital Psychiatry Units in India
Service Indicators of General Hospital Psychiatric Units
Optimization of Service Indicators
Long-Stay Patients in Government Mental Hospitals

Chapter 6. Probability and Probability Distributions
Probability Scale
Probability Distributions

Chapter 7. Sampling Theory and Methods
Theory of Sampling
Random Sampling Methods
Random Sampling Methods in Mental Morbidity Surveys

Chapter 8. Basic Elements of Statistical Inference
Basic Elements of Estimation of Parameters
Basic Elements of Tests of Significance

Chapter 9. Parametric Tests of Significance
One-Sample Parametric Tests
Two-Independent Sample Parametric Tests
Two-Related Sample Parametric Tests

Chapter 10. Experimental Data Analysis: ANOVA
One-Way ANOVA
Post-Hoc Multiple Comparison Tests: Scheffe’s Method
Two-Way ANOVA
22-Factorial ANOVA
Repeated Measures ANOVA

Chapter 11. Non-Parametric Tests of Significance
One-Sample Non-Parametric Tests
Two-Independent Sample Non-Parametric Tests
Two-Related Sample Non-Parametric Tests
K-Independent Sample Non-Parametric Tests
K-Related Sample Non-Parametric Tests
Log-Linear Models

Chapter 12. Correlation Analysis and Regression Analysis
Two-Quantitative Variables Correlation Coefficients
Rank Correlation Coefficients
Two-Qualitative Variables Correlation Coefficients
Measures of Relative Risk
Regression Analysis

Chapter 13. Reliability Analysis and Validity Analysis
Scaling Techniques
Reliability Analysis
Validity Analysis

Chapter 14. Survival Analysis and Time Series Analysis
Survival Analysis
Time-Series Analysis

Chapter 15. Multivariate Statistical Methods
Profile Techniques
Multivariate Correlation Coefficients
Multiple Regression Analysis
Multivariate Analysis of Variance (MANOVA)
Analysis of Multi-Dimensional Contingency Tables

Chapter 16. Cluster Analysis
Features of Cluster Analysis
Measures of Similarity
Choice of Variables
Hierarchical Methods
Number of Clusters in Hierarchial Methods
Partitioning Mathods
Validation Techniques
Numerical Demonstration
An Empirical Classification of Government Mental Hospitals in India
Pattern of Distribution of Mental Health Manpower: An International Scene
An Empirical Classification of Child Psychiatry Disorders
Cluster Analysis in Evaluation of Programs

Chapter 17. Discriminant Analysis
Two-Group Discriminant Analysis
K-Group Discriminant Analysis
A Model for Differentiating Conduct Disorder and Hyperactivity in Children

Chapter 18. Factor Analysis
Basic Elements of Factor Analysis
Principal Components Analysis

Chapter 19. Meta-Analysis
Location and Selection of Studies for Meta-Analysis
End-Points of Primary Studies
Quality Assessment of Selected Studies
Meta-Analysis Master Sheet
Meta-Analysis Plots
Methods for Pooling End-Points: Fixed Effects Model
Methods for Pooling End-Points: Random Effects Model
Additional Meta-Analysis Techniques
Implications of The Results of Meta-Analysis
Estimation of Prevalence Rates of mental and Behavioral Disorders in India

Chapter 20. Reporting the Results
Evaluation of the Study
Interpreting the Results
Writing the Report

Chapter 21. Statistical Packages for Social Sciences
SPSS Data Editor
Procedures for Entering Data in SPSS
Procedures to Run Data Analysis Using SPSS
Data Handling Using Data Menu
Data Handling Using Transform Menu

22. Running Data Analysis Using SPSS
Running Data Analysis Using SPSS
Running “Parametric Tests of Significance”
Running “ANOVA Tests of Significance”
Running “Non-Parametric Tests of Significance”
Running “Correlation Analysis and Regression Analysis”
Running “Reliability Analysis and Validity Analysis”
Running “Survival Analysis and Time Series Analysis”
Running “Multivariate Statistical Methods”
Running “Cluster Analysis and Discriminant Analysis”
Running “Factor Analysis”

Appendix I: Basic Data of 40 Registered Patients at NIMHANS
Appendix II: A Classification of Statistical Methods
Appendix III: Area, Population Size, and Density of Population of Countries
Appendix IV: An Empirical Classification of Child Psychiatric Disorders
Appendix V: Probability Distribution Tables

Index


About the Authors / Editors:
By: M. Venkataswamy Reddy, PhD
Professor (retired) of Biostatistics and Former Head, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, India


ABOUT THE AUTHOR:
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. He was in charge of the medical records section of NIMHANS. He has served as a member of the Board of Management of the institute. He has guided two research scholars for their PhD degrees, and they have since occupied key positions in prestigious institutes of the country. He is an active life member of the Indian Psychiatric Society and the Indian Society for Medical Statistics and a member of the Indian Statistical Institute, International Biometric Society, International Epidemiological Association, and Computer Society of India. He has actively participated in several national and international conferences. He has published more than 20 scientific papers. His popular textbook, titled Statistics for Mental Health Care Research, is widely referred to by students and academicians alike. His main contributions include the development of suitable models for mental health delivery systems in India, meta-analysis for psychiatry research and STATA, and cluster analysis for psychiatry research and SPSS. He received an MSc in statistics from the Department of Statistics at Bangalore University; a DBS (PG diploma in Biostatistics) from ICMR’s Institute for Research in Medical Statistics, New Delhi; and a PhD in Biostatistics (topic: cluster formation in psychiatry with special reference to child psychiatry) from Bangalore University.




Follow us for the latest from Apple Academic Press:
Copyright © 2024 Apple Academic Press Inc. All Rights Reserved.