Quantitative Data Analysis Using SPSS: An Introduction for Health and Social Science - Pete Greasley

 

Quantitative Data Analysis Using SPSS: An Introduction for Health and Social Science
by: Pete Greasley 

This accessible book is essential reading for those looking for a short and simple guide to basic data analysis. Written for the complete beginner, the book is the ideal companion when undertaking quantitative data analysis for the first time using SPSS.

The book uses a simple example of quantitative data analysis that would be typical to the health field to take you through the process of data analysis step by step. The example used is a doctor who conducts a questionnaire survey of 30 patients to assess a specific service. The data from these questionnaires is given to you for analysis, and the book leads you through the process required to analyse this data.

Handy screenshots illustrate each step of the process so you can try out the analysis for yourself, and apply it to your own research with ease.

Topics covered include:

* Questionnaires and how to analyse them

* Coding the data for SPSS, setting up an SPSS database and entering the data

* Descriptive statistics and illustrating the data using graphs

* Cross-tabulation and the Chi-square statistic

* Correlation: examining relationships between interval data

* Examining differences between two sets of scores

* Reporting the results and presenting the data

Quantitative Data Analysis Using SPSS is helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.

size: 3.68 MB

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Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests, 2nd edition (August 1, 2003)-Kevin R. Murphy, Brett Myors (Editor)

Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests, 2nd edition (August 1, 2003)
by: Kevin R. Murphy, Brett Myors (Editor)

This book presents a simple and general method for conducting statistical power analysis based on the widely used F statistic. The book illustrates how these analyses work and how they can be applied to problems of studying design, to evaluate others' research, and to choose the appropriate criterion for defining "statistically significant" outcomes. Statistical Power Analysis examines the four major applications of power analysis, concentrating on how to determine:

*the sample size needed to achieve desired levels of power;

*the level of power that is needed in a study;

*the size of effect that can be reliably detected by a study; and

*sensible criteria for statistical significance.

size: 9.78 MB

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06.11 | 0 comments

Stats Mean Business: A Guide to Business Statistic -John Buglear

Stats Mean Business: A Guide to Business Statistic
by: John Buglear

'Stats Means Business' is an introductory textbook aimed at Business Studies students who require guidance in the area of statistics. It minimizes technical language, provides clear definition of key terms, and gives emphasis to interpretation rather than technique.

'Stats Means Business' enables readers to:

* appreciate the importance of statistical analysis in business

* understand statistical techniques

* develop judgment in the selection of appropriate statistical techniques

* interpret the results of statistical analysis

There is an overwhelming need for successful managers to be able to deal competently with numerical information and this text is developed with this in mind by providing worked examples and review questions which are rooted in viable business contexts.

Each chapter includes guidance on using Excel and Minitab to produce the analysis described and explained in the chapter. The start of every chapter identifies aims and summarizes content and each is written in an accessible style. Model solutions are provided for three problems in each chapter and further solutions are available on a web site to accompany the book.

The book is suitable for first year undergraduate courses, MBA Programmes and anyone who needs support and guidance in the area of statistics.

Minimizes jargon and provides a clear definition of terms

Worked examples and review questions are included to consolidate learning

A web site providing additional support material accompanies the book and can be found at http://www.bh/com/manuals

size: 2.94 MB

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06.07 | 0 comments

Stats Mean Business: A Guide to Business Statistic - John Buglear

Stats Mean Business: A Guide to Business Statistic
by. John Buglear

Stats Means Business' is an introductory textbook aimed at Business Studies students who require guidance in the area of statistics. It minimizes technical language, provides clear definition of key terms, and gives emphasis to interpretation rather than technique.

'Stats Means Business' enables readers to:

* appreciate the importance of statistical analysis in business

* understand statistical techniques

* develop judgment in the selection of appropriate statistical techniques

* interpret the results of statistical analysis

There is an overwhelming need for successful managers to be able to deal competently with numerical information and this text is developed with this in mind by providing worked examples and review questions which are rooted in viable business contexts.

Each chapter includes guidance on using Excel and Minitab to produce the analysis described and explained in the chapter. The start of every chapter identifies aims and summarizes content and each is written in an accessible style. Model solutions are provided for three problems in each chapter and further solutions are available on a web site to accompany the book.

The book is suitable for first year undergraduate courses, MBA Programmes and anyone who needs support and guidance in the area of statistics.

Minimizes jargon and provides a clear definition of terms

Worked examples and review questions are included to consolidate learning

A web site providing additional support material accompanies the book and can be found at http://www.bh/com/manuals

size: 2.94 MB

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