| Description |
vi, 175 pages : illustrations ; 26 cm |
| Contents |
Contents note continued: Charts -- Written reporting -- Verbal reporting -- ch. 12 Advanced statistical techniques: a taster -- MANOVA -- Cluster analysis -- Logistic regression -- Cox's regression (aka the Cox model) -- Some thoughts on ANCOVA |
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Contents note continued: Different subjects, more than two conditions -- Same subjects, two conditions -- Same subjects, more than two conditions -- Factorial ANOVA -- Reading factorial ANOVA charts -- Multiple comparisons -- ch. 7 Frequency of observations -- Dichotomies: the binomial test -- Repeated dichotomies: the McNemar test -- More than two conditions: Chi-square goodness of fit test -- Customising expected values: Chi-square goodness of fit -- Relationships between variables: Chi-square test of association -- ch. 8 The time until events -- Statistical assumptions -- The Kaplan-Meier survival function -- The life table -- ch. 9 Correlations, regression and factor analysis -- Correlation -- Regression -- Partial correlation: ̀€partialling out' -- The multiple correlation matrix -- Factor analysis: a data reduction methodology -- pt. THREE MISCELLANEOUS -- ch. 10 Exercises -- Questions -- Answers -- ch. 11 Reporting in applied settings -- Raw data or central tendency? -- |
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Machine generated contents note: pt. ONE PRE-TEST CONSIDERATIONS -- ch. 1 Introduction -- What this book does -- The organisation of content -- Data sets and additional information -- How to use this book -- Acknowledgements -- ch. 2 Descriptive and inferential statistics introduced -- Descriptive statistics -- Inferential statistics -- ch. 3 Parametric and non-parametric tests -- Different types of data -- Parametric versus non-parametric data -- ch. 4 Using SPSS -- Data entry in spreadsheet formats -- Data entry with SPSS -- ch. 5 Practical research -- Data analysis in context -- Notes on research design -- A suggestion for data analysis structure -- Selecting cases -- Other data manipulation techniques -- pt. TWO USING THE STATISTICAL TESTS -- ch. 6 Experiments and quasi-experiments -- The analysis of differences -- Unrelated and related design -- Two or more conditions -- Data type -- Research design terminology -- Different subjects, two conditions -- |
| Summary |
This book offers a quick and basic guide to using SPSS and provides a general approach to solving problems using statistical tests. It is both comprehensive in terms of the tests covered and the applied settings it refers to, and yet is short and easy to understand. Whether you are a beginner or an intermediate level test user, this book will help you to analyse different types of data in applied settings. It will also give you the confidence to use other statistical software and to extend your expertise to more specific scientific settings as required. The author does not use mathematical formulae and leaves out arcane statistical concepts. Instead, he provides a very practical, easy and speedy introduction to data analysis, offering examples from a range of scenarios from applied science, handling both continuous and rough-hewn data sets. Examples are given from agriculture, arboriculture, audiology, biology, computer science, ecology, engineering, epidemiology, farming and farm management, hydrology, medicine, ophthalmology, pharmacology, physiotherapy, spectroscopy and sports science |
| Analysis |
Australian |
| Bibliography |
Includes bibliographical references (pages 169-171) and index |
| Audience |
Tertiary/Undergraduate, Postgraduate |
| SUBJECT |
SPSS (Computer file) http://id.loc.gov/authorities/names/n88224991
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| Subject |
Interactive computer systems.
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Social sciences -- Statistical methods -- Computer programs.
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Problem solving -- Statistical methods.
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Statistical hypothesis testing -- Computer programs.
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Statistics.
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Technology -- Computer programs.
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| ISBN |
9780643107106 (paperback) |
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