Preface Psychiatry Research Research Questions in Psychiatry Research Approaches Protocol Writing for Quantitative Studies Variables in Psychiatry Statistical Methods in Psychiatry Research Observational Studies Case-Series Analysis Cross-Sectional Studies Longitudinal Studies Experimental Studies Basic Elements of Experiments Parallel Control Clinical Trials Further Control Clinical Trials Informal Designs of Experiments Formal Designs of Experiments 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 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 Service Indicators of Government Mental Hospitals Service Indicators of General Hospital Psychiatry Units Probability and Probability Distributions Probability Scale Probability Distributions Sampling Theory and Methods Theory of Sampling Random Sampling Methods Random Sampling Methods in Mental Morbidity Surveys Basic Elements of Statistical Inference Basic Elements of Estimation of Parameters Basic Elements of Tests of Significance Parametric Tests of Significance One-Sample Parametric Tests Two-Independent Sample Parametric Tests Two-Related Sample Parametric Tests Experimental Data Analysis: ANOVA One-Way ANOVA Post-Hoc Multiple Comparison Tests: Scheffe Method Two-Way ANOVA 22-Factorial ANOVA Repeated Measures ANOVA 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 Correlation Analysis and Regression Analysis Two-Quantitative Variables Correlation Coefficients Rank Correlation Coefficients Two-Qualitative Variables Correlation Coefficients Measures of Relative Risk Regression Analysis Reliability Analysis and Validity Analysis Scaling Techniques Reliability Analysis Validity Analysis Survival Analysis and Time Series Analysis Survival Analysis Time-Series Analysis Multivariate Statistical Methods Profile Techniques Multivariate Correlation Coefficients Multiple Regression Analysis Multivariate Analysis of Variance (MANOVA) Analysis of Multi-Dimensional Contingency Tables Cluster Analysis Functions of Cluster Analysis Hierarchical Cluster Analysis Measures of Similarity and Dissimilarity Between Persons Hierarchical Agglomerative Clustering Methods Determination of Number of Clusters Partitioning Cluster Analysis Validation of Resultant Clusters Numerical Demonstration Discriminant Analysis Two-Groups Discriminant Analysis K-Groups Discriminant Analysis Numerical Demonstration Factor Analysis Basic Elements of Factor Analysis Principal Components Analysis Numerical Demonstration 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 Numerical Demonstration Reporting The Results Evaluation of The Study Interpreting The Results Writing The Report Statistical Packages for Social Sciences (SPSS) 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 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 1 : Basic Data of 40 Registered Patients at Nimhans Appendix 2 : A Classification of Statistical Methods Appendix 3 : Probability Distribution Tables Index >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 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 Service Indicators of Government Mental Hospitals Service Indicators of General Hospital Psychiatry Units Probability and Probability Distributions Probability Scale Probability Distributions Sampling Theory and Methods Theory of Sampling Random Sampling Methods Random Sampling Methods in Mental Morbidity Surveys Basic Elements of Statistical Inference Basic Elements of Estimation of Parameters Basic Elements of Tests of Significance Parametric Tests of Significance One-Sample Parametric Tests Two-Independent Sample Parametric Tests Two-Related Sample Parametric Tests Experimental Data Analysis: ANOVA One-Way ANOVA Post-Hoc Multiple Comparison Tests: Scheffe Method Two-Way ANOVA 22-Factorial ANOVA Repeated Measures ANOVA 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 Correlation Analysis and Regression Analysis Two-Quantitative Variables Correlation Coefficients Rank Correlation Coefficients Two-Qualitative Variables Correlation Coefficients Measures of Relative Risk Regression Analysis Reliability Analysis and Validity Analysis Scaling Techniques Reliability Analysis Validity Analysis Survival Analysis and Time Series Analysis Survival Analysis Time-Series Analysis Multivariate Statistical Methods Profile Techniques Multivariate Correlation Coefficients Multiple Regression Analysis Multivariate Analysis of Variance (MANOVA) Analysis of Multi-Dimensional Contingency Tables Cluster Analysis Functions of Cluster Analysis Hierarchical Cluster Analysis Measures of Similarity and Dissimilarity Between Persons Hierarchical Agglomerative Clustering Methods Determination of Number of Clusters Partitioning Cluster Analysis Validation of Resultant Clusters Numerical Demonstration Discriminant Analysis Two-Groups Discriminant Analysis K-Groups Discriminant Analysis Numerical Demonstration Factor Analysis Basic Elements of Factor Analysis Principal Components Analysis Numerical Demonstration 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 Numerical Demonstration Reporting The Results Evaluation of The Study Interpreting The Results Writing The Report Statistical Packages for Social Sciences (SPSS) 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 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 ''.