This is a user-friendly guide that takes students and researchers through the often-daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics Version 26.

The SPSS Survival Kit throws a lifeline to students and researchers grappling with this powerful data analysis software. In this guide, Bindhya Basini Mishra guides you through the entire research process, helping you choose the right data analysis technique for your project.

From the formulation of the research question; to the design of the study; analysis of data and report the results, Bindhya discusses basic and advanced statistical techniques.

The SPSS Survival Kit is organized to follow the sequence of topics in the text and contains an easy to follow, step-by-step guide on how to use SPSS to perform the Statistical processes. For the statistical procedure, it includes overviews that explain how to apply the procedures and interpret the output and present the result in a report.

It also includes a full command syntax guide. Statistical Procedures include: Correlation, Regression, Factor Analysis, T-Tests, ANOVA, Non-Parametric Statistics, and so on.

For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Kit is an essential kit.

This book is illustrated with screen grabs, examples of output and tips, it is supported by sample data and guidelines on report writing.


The author of this Book, Bindhya Basini Mishra is an alumnus from the prestigious institute XLRI- Xavier School of Management, Jamshedpur and has been employed at Google India Private Limited as Senior Training and Development Manager for more than 5 Years.

Having worked in the Human Resources Department for Educational Facilities and International Corporations, she is very familiar with Recruitment and Staff Training. She is particularly experienced in the areas of strategic advice to senior managers, directing the administrative functions of complex organizations and developing the company culture.

Bindhya serves as the representative for Google India Private Limited and has built bridges with Top Colleges, Universities, and Business Leaders to enhance awareness about the company initiatives.

She has been rewarded with several prestigious awards for her outstanding knowledge and contributions in the field of Human Resources by Google India Private Limited.

Few of the Awards in the list are:

  1. Young HR Professional Award
  2. Management Excellence Award
  3. Women Super Achiever Award
  4. HR Leadership Award


SPSS stands for “Statistical Package for the Social Sciences” and it’s used by various kinds of researchers for complex statistical data analysis.

It is a suite of software programs that analyzes scientific data related to the social sciences. SPSS offers a fast-visual modeling environment that ranges from the smallest to the most complex models. The data obtained from SPSS is used for surveys, data mining, market research, etc.

SPSS was originally launched in 1968 by SPSS Inc., and IBM acquired it in 2009.

SPSS is very popular these days because of its simplicity, easy-to-follow command language, and well-documented user manual. Government entities, educational institutions, survey companies, market researchers, marketing organizations, health researchers, data miners, and many others use it for analyzing survey data.

Most top research agencies use SPSS to analyze survey data and mine text data so that they can get the most out of their research and survey projects.


  • Graduate, Post- Graduate and PhD Students from Top colleges and universities.
  • Working Professionals who are working in any kind of Research Assignments.
  • Aspiring managers, those who are working to solve business and research problems using ad hoc analysis, hypothesis testing, geospatial analysis and predictive analytics.
  • Non-managers who are working on practical problems of businesses/firms and trying to explore possible managerial solutions.SPSS tool is used for the purpose of facilitating planning and decision-making.
  • This book is for people in all kinds of organization such as Private, Public, Government, Health Care, Educational Institutions and Non- Profit Organizations as well.


The bottom line is though Excel offers a good way of data organization, SPSS is more suitable for in-depth data analysis. This tool is very useful in the analysis and visualization of data.

SPSS helps scientists, researchers, business analysts, managers, and marketers during the entire analytics process, starting from planning, data collection, data analysis, report creation, and deployment.

No matter what your business objectives are if you have a bunch of data that you want to analyze, SPSS is one of the best statistical analysis tools that you can use.


The SPSS Survival Kit by Bindhya Basini Mishra has been accepted, recommended and appreciated by leading Institutes of India like IIT- Delhi, IIT- Kanpur, IIT- Madras, IIM- Ahmedabad and IIM- Bangalore.

Each chapter of the book has been thoroughly investigated by the Department of Statistics of leading Statistics Institutes of India, like Indian Statistical Institute (ITI), Bengaluru; St. Xavier’s College, Kolkata and Loyola College, Chennai.

SPSS Survival Kit is spreading its wings in the Corporate World and is being used as a Training Manual in different Multi National Companies.



This Book offers an introduction to the statistical analysis of multivariate observations. The primary goal of the book is to impart the necessary knowledge to make proper interpretations and select appropriate techniques for analyzing multivariate data.

It is suitable for courses in Multivariate Statistics, Marketing Research, Statistics in Education and Post Graduate level courses in Experimental Design and Statistics.

The key features and accessible level present the concepts and methods of Multivariate Analysis at a level that is readily understandable by readers who have taken two or more statistics courses.

Emphasis is given on applications of multivariate methods and a clear insightful explanation of multivariate techniques.


The importance of Non-Parametric Methods in modern statistics has grown drastically since their inception in the mid 1930’s. This requires few or no assumptions about the populations from which the data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing data analysis. Today, these highly efficient techniques are being applied to an ever-widening variety of experimental designs in the Social, Behavioral, Biological and Physical Sciences.

The Book ‘Non-Parametric Statistical Methods for complete and Censored Data’ meets the needs of a new generation of users, with completely up-to-date coverage of this statistical area.

This book aims to equip readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for a given situation. An extensive array of examples drawn from actual experiments illustrates clearly how to use Non- Parametric approaches to handle one- or- two sample location and dispersion problems, dichotomous data, and one- way and two- way layout problems.

This Book also covers the following:

  • Non- Parametric Regression Methods
  • The Bootstrap
  • Contingency Tables and the Odds Ratio
  • Life Distributions and Survival Analysis
  • Non- Parametric methods for Experimental Designs

This book is an ideal text for an Upper- Level Undergraduate or First- Year Graduate Course, The Book ‘Non-Parametric Statistical Methods for complete and Censored Data’ is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of Modern Statistics.


The purpose of this book is to help the users of Computerized Statistical Packages make the correct statistical choices to match the data they have already collected.

It is assumed that the reader has information available on the use of the Statistical Package.

While most statistical packages will perform whatever statistical analyses the use chooses, the package will not help the user in the selection of the choice or in the interpretation of the results. Thus, A Statistical Package is only a tool.

While Statistical Packages come with instructions on their use, the user must know how to apply the package to the data available and how to read the results printed.

The book provides a simple to understand, step-by-step guide for the user of any computerized statistical package.

This book is designed, keeping in mind the concept of Bivariate Data Analysis.

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