Academic journal article South Asian Journal of Management

Statistical Methods for Practice and Research (A Guide to Data Analysis Using SPSS)

Academic journal article South Asian Journal of Management

Statistical Methods for Practice and Research (A Guide to Data Analysis Using SPSS)

Article excerpt

Statistical Methods for Practice and Research (A Guide to Data Analysis Using SPSS) By Ajai S Gaur and Sanjaya S Gaur Response Books, A Division of SAGE Publications, New Delhi, Thousand Oaks, London, 2006, Pages: 170, Price: ?295 ISBN: 13: 978-0-7619-3502-5 (PB), 10: 0-7619-3502-9 (PB)

Research is an organized enquiry, whether logical or else. Scientific research, in contrast, utilizing scientific method, has distinct goals and methods, makes reliable data, consistent and clear-cut findings, and reasonable conclusions. Statistics act as a crucial responsibility in every field of human activity. It has a significant job in determining the handy situation of per capita income, unemployment, population growth rate, housing, schooling medical facilities, etc., in a country. At present statistics grasps an essential point in just about each pasture similar to industry, commerce, trade, physics, chemistry, economics, mathematics, biology, botany, psychology, astronomy, etc., accordingly application of statistics is extremely broad (Statistics Doctor, 2001).

SPSS consists of an integrated series of computer programs that facilitate the user to understand data from questionnaire surveys and other sources, to maneuver them in diverse traditions and to generate an extensive choice of statistical analyses and reports, together with documentation. The original version of Statistical Package for the Social Sciences (SPSS) was written in the late 1960's by two postgraduate political science students who could not get any happiness from statisticians or computer programmers when it came to dealing out, manipulating and analyzing data from questionnaire surveys. SPSS was first released in the USA in 1968 and arrived in the UK in 1970. It was a built-in lay down of agendas for the management and statistical analysis of social science data, developed particularly for the processing and analysis of data from questionnaire surveys. On account of its clear-cut English-like command language and notable user manual, it extends rapidly all over the community investigate group of people. It was consequently triumphant to SPSS Ine was set up to look after the generous position of the University of Chicago. It hurriedly happens to the world average designed for social science computing. Later on SPSS Ine consulted business more willingly than social research applications and developed a graphic user edge based on drop-down menus rather than syntax (Investopedia, 2003).

SPSS further escorts for research methods at the present time. Today, with SPSS, most of what you need to know is in reality built into the software. Subsequent the integral lecture will offer you a swift way in how to utilize SPSS. It's designed to match the material in your text with things you can do in SPSS. The requisite irritation is really more like a concern. The simplicity of using a program like SPSS makes data analysis easy to get to those who would as soon not when it comes to math and statistics. Nowadays, the monotonous computations are disappeared, but you still have to know the reason of sampling, how to collect data, and how to tell which statistical test is suitable for a given point of capacity. Moreover, if you're disappearing in the direction of inquire SPSS for a relationship; you still need to know where those things come from and what they tell you.

The book is presented in 1 1 chapters. First chapter is an introduction to the SPSS, highlighting the starting principles of SPSS, its main menus, working with data editor and its screens, commands, importing and exporting data of SPSS. Second chapter is an overview of the common statistical concepts in terms of variables, types of research variables, reliability and validity, tests of hypothesis and use in SPSS. Strength and reliability are two different features of relationship between variables. Third chapter details the set of brief descriptive coefficients that summarizes a prearranged data set, which can moreover be present a demonstration of the whole population or a sample. …

Search by... Author
Show... All Results Primary Sources Peer-reviewed

Oops!

An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while.