Statistics for Health, Life and Social Sciences

par Denis Anthony
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( 33 )
292 pages
Langue:
 English
There are many books concerned with statistical theory. This is not one of them.
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There are many books concerned with statistical theory. This is not one of them. 'Statistics for Health, Life and Social Sciences' is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life or social science who has no knowledge of statistics, but needs to use quantitative methods in their studies. Students who are engaged in qualitative studies will need to read and understand quantitative studies when they do their literature reviews, this book may be of use to them.

This text is based on lectures given to students of nursing, midwifery, social work, probation, criminology, allied health, podiatry at undergraduate to doctoral level. However the examples employed, all from health, life and social sciences, should be understandable to any reader.

There is virtually no theory in this text, almost no mathematics (a bit of simple arithmetic is about as far as it gets). I do not give every statistical test, nor do I examine every restriction of any test. There are texts, good ones, that do all of these things. For example Field’s (Field, 2009)text is excellent and gives a fuller treatment, but his book is 820 pages long!

All books contain errors, or explanations that are not clear. If you note any email me on danthony@dmu.ac.uk and I will fix them. FIELD, A. 2009. Discovering statistics using SPSS (and sex and drugs and rock 'n' roll), London, Sage.

  1. Designing questionnaires and surveys
    1. Getting started in SPSS - Data entry
    2. Introducing descriptive statistics
    3. Graphs
    4. Manipulating data
    5. Chi square
    6. Differences between two groups
    7. Differences between more than two groups
    8. Correlation
    9. Paired tests
    10. Measures of prediction: sensitivity, specificity and predictive values
    11. Receiver operating characteristic
    12. Reliability
    13. Internal reliability
    14. Factor analysis
    15. linear Regression
    16. logistic regression
    17. Cluster analysis
    18. Introduction to power analysis
    19. Which statistical tests to use
  2. Endnotes
  3. Answers to exercises
  4. Appendix Datasets used in this text

Click here to see the data files which you will need when studying this book.

very good & useful!!
8 mars 2017 à 08:31
Truly helpful for someone who does research and needs to incorporate a strong quantitative study to support a qualitative one.
6 mai 2013 à 13:59
Really a book to have as a researcher at any level of academic pursuit.
25 septembre 2012 à 09:56
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