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SPSS for social scientists

Author: Robert L Miller
Publisher: Houndmills, Basingstoke, Hampshire ; New York : Palgrave MacMillan, 2002.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This student-friendly text offers a step-by-step introduction to the use of SPSS, the widely used data analysis computer package in the social sciences. Supported by four datasets taken from the well-known British Social Attitudes Survey on the topics of crime, health, politics and poverty, it offers an eminently practical approach to its subject, while still setting its explanation of statistical procedures within  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
SPSS for social scientists.
Houndmills, Basingstoke, Hampshire ; New York : Palgrave MacMillan, 2002
(DLC) 2002071538
(OCoLC)49925798
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Robert L Miller
ISBN: 9780230629684 0230629687 1280860200 9781280860201 0333922867 9780333922866
OCLC Number: 156851665
Notes: "Covers versions 9, 10, and 11"--Cover.
Description: 1 online resource (xvii, 334 pages) : illustrations
Contents: Cover --
Contents --
List of Figures --
Preface --
Acknowledgements --
Introduction --
The schism between quantitative and qualitative perspectives --
Two quantitative perspectives --
The empirical --
The positivist --
Orientation --
The British Social Attitudes Survey --
The datasets --
Obtaining the practice datasets --
Introduction to the workbook --
Introduction to SPSS for Windows --
The Online Tutorial --
The Statistics Coach --
The Contextual Help System --
Getting started on SPSS --
40;141; The Title bar --
40;241; The Menu bar --
40;341; The Tool bar --
Some minor adjustments to SPSS --
Resetting variable lists --
Resetting output labels --
Loading a data file --
The Viewer window --
Saving to a disk --
Saving the data file --
Saving your output file --
Printing your SPSS output --
1 Data Input --
Cases and variables --
39;Rectangular39; format --
Exercise --
Inputting data into SPSS --
Option 158; importing an SPSS portable file --
Option 258; importing data from spreadsheets --
Option 358; importing text files --
Option 458; creating a new SPSS data file --
Editing data --
Entering new variables or cases --
Deleting a variable or a case --
Saving new files --
Labelling variables --
Coding --
Quantitative data --
Qualitative data --
39;String39; data --
Refining the dataset --
Labelling the data --
SPSS operations to 39;label39; and 39;refine39; a dataset --
Validating --
Dealing with missing values --
Conclusion --
Some tips --
SPSS exercise --
Appendix 158; Student 39;Drinking questionnaire39; --
Appendix 258; Labelling using SPSS V9 --
2 Listing and Exploring Data --
Introduction --
Levels of measurement --
Nominal47;Categorical --
Ordinal --
Interval --
Ratio --
Frequency tables --
Measures of central tendency --
The mean --
The median --
The mode --
Measures of dispersion --
The range --
The interquartile range --
The variance --
The standard deviation --
Descriptive statistics and charts in SPSS --
Example 1 --
Example 2 --
Explore --
Other graphs and charts --
Pie charts --
Scatterplots --
Line charts --
The Chart Editor --
SPSS exercise for Module 2 --
3 Data Selection and Manipulation --
Introduction --
Data selection --
Subsets of cases --
A simple example --
A more complex example --
The keypad in SPSS --
SPSS exercises for selecting cases --
Subsets of variables --
Splitting files --
Weighting --
An example of weighting --
Data manipulation --
Altering individual codes or groups of codes 40;Recode41; --
Combining codes --
Example 1 --
Example 2 --
SPSS exercises for recoding variables --
Arithmetical operations on a variable39;s codes 40;Compute41; --
SPSS exercises for Compute --
If58; using logical statements to create a new variable --
An example of using logical statements --
Logical operators --
SPSS exercises for IF --
Transformations using Count --
SPSS exercise for Count --
New variables --
Labelling --
Missing values --
A final bit of advice about data manipulation --
4 Hypothesis45;Testing and t45;Tests --
Confirmatory statistics --
Hypothesis45;testing --
Statistical significance --
Confirm.
Responsibility: Robert L. Miller [and others] ; consultant editor, Jo Campling.
More information:

Abstract:

This student-friendly text offers a step-by-step introduction to the use of SPSS, the widely used data analysis computer package in the social sciences. Supported by four datasets taken from the well-known British Social Attitudes Survey on the topics of crime, health, politics and poverty, it offers an eminently practical approach to its subject, while still setting its explanation of statistical procedures within the wider social research context.

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