Interpreting Quantitative Data with IBM SPSS Statistics
Autor Rachad Antoniusen Limba Engleză Electronic book text – 29 noi 2012
- new chapters on one-way and two-way ANOVA, the Chi-square test and linear regression.
- SPSS lab sessions following each chapter which demonstrate how SPSS can be used in practice
- sets of exercises and 'real-life' examples to aid teaching and learning
- lists of key terms to aid revision and further reading to enhance students' understanding
- an improved text design making the book easier to navigate
- a companion website with answers to the labs and exercises, along with additional data sets and powerpoint slides
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Specificații
ISBN-13: 9781446271827
ISBN-10: 144627182X
Pagini: 376
Dimensiuni: 186 x 232 mm
Ediția:Second Edition
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
ISBN-10: 144627182X
Pagini: 376
Dimensiuni: 186 x 232 mm
Ediția:Second Edition
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
Recenzii
Interpreting
Quantitative
Datais
an
excellent
introductory
text,
which
clearly
and
competently
integrates
statistics,
research
methodology,
and
the
use
of
SPSS.
The
text
covers
all
aspects
of
the
research
process
and
effectively
empowers
students
conducting
quantitative
research.
Neil Dagnal
Faculty of Health, Psychology and Social Care, Manchester Metropolitan University
Interpreting Quantitative Data with IBM SPSS Statisticsis a well-produced book which is clearly written in a reader-friendly style. The topics progress logically and are clearly explained. Unlike many books for the student quantitative researcher the author spends time not only on the interpretation of the data but also on the skill of presenting the findings in report form, both formally and informally. This is an essential skill that is often not taught with potentially disastrous results when the student comes to present his/her dissertation.
I can thoroughly recommend this book both as a set text for an introductory course in quantitative methods in the social sciences and as a text for those who are working alone without the guidance of a tutor. For those of us whose introductory courses are lost in the mists of time this book is an excellent revision aide. I certainly found bits of information that I had long forgotten.
The bookInterpreting Quantitative Data with IBM SPSS Statistics,by Prof. Rachad Antonius, is highly relevant for the students starting to use SPSS, as no prior knowledge of the SPSS is required, but also for the ones who want to brush up their skills and knowledge... The book has a pedagogic character. It is addressed to both an instructor and a student. An added value of the book compared to some other reference books on SPSS is exactly that in addition to on how to manipulate the SPSS, it also gives guidance on how to use the data in a research project and what to keep in mind. It sees the SPSS as a part of the social research process and therefore focuses in addition to the data production/manipulation also on the analysis and interpretation of quantitative data. And also on the very basics of a research project (e.g. research object and research question, literature review, hypothesis). Therefore the book is recommended already in the very beginning of the designing the research. For the reader who needs additional information, there are in the end of each chapter also suggestions for further reading...In conclusion, the book is certainly a beneficial companion for becoming familiar with SPSS and using the data computed with the SPSS in a research project. As the book is written by assuming a student has no previous experience in SPSS or statistics (p. xxii), the text is simple and easy to follow.
Neil Dagnal
Faculty of Health, Psychology and Social Care, Manchester Metropolitan University
Interpreting Quantitative Data with IBM SPSS Statisticsis a well-produced book which is clearly written in a reader-friendly style. The topics progress logically and are clearly explained. Unlike many books for the student quantitative researcher the author spends time not only on the interpretation of the data but also on the skill of presenting the findings in report form, both formally and informally. This is an essential skill that is often not taught with potentially disastrous results when the student comes to present his/her dissertation.
I can thoroughly recommend this book both as a set text for an introductory course in quantitative methods in the social sciences and as a text for those who are working alone without the guidance of a tutor. For those of us whose introductory courses are lost in the mists of time this book is an excellent revision aide. I certainly found bits of information that I had long forgotten.
The bookInterpreting Quantitative Data with IBM SPSS Statistics,by Prof. Rachad Antonius, is highly relevant for the students starting to use SPSS, as no prior knowledge of the SPSS is required, but also for the ones who want to brush up their skills and knowledge... The book has a pedagogic character. It is addressed to both an instructor and a student. An added value of the book compared to some other reference books on SPSS is exactly that in addition to on how to manipulate the SPSS, it also gives guidance on how to use the data in a research project and what to keep in mind. It sees the SPSS as a part of the social research process and therefore focuses in addition to the data production/manipulation also on the analysis and interpretation of quantitative data. And also on the very basics of a research project (e.g. research object and research question, literature review, hypothesis). Therefore the book is recommended already in the very beginning of the designing the research. For the reader who needs additional information, there are in the end of each chapter also suggestions for further reading...In conclusion, the book is certainly a beneficial companion for becoming familiar with SPSS and using the data computed with the SPSS in a research project. As the book is written by assuming a student has no previous experience in SPSS or statistics (p. xxii), the text is simple and easy to follow.
Cuprins
PART
ONE
INTRODUCTION
TO
QUANTITATIVE
METHODS
The Basic Language of Statistics
The Research Process
PART TWO DESCRIPTIVE STATISTICS
Univariate Descriptive Statistics
Graphical Representations
PART THREE METHODOLOGICAL TOOLS
Creating New Variables with SPSS
Normal Distributions and Sampling Distributions
Sampling Designs
PART FOUR INFERENTIAL STATISTICS
Estimation
Hypothesis-Testing
PART FIVE
Correlation and the Regression Line
Two-Way Tables and the Chi-Squared Test
<i>t</i>-tests and ANOVA
Appendix I: Reporting a Quantitative Analysis
Appendix II: How to Create a Data File in SPSS
Appendix III: Areas Under the Normal Curve
Appendix IV: Table of Random Numbers
Glossary
The Basic Language of Statistics
The Research Process
PART TWO DESCRIPTIVE STATISTICS
Univariate Descriptive Statistics
Graphical Representations
PART THREE METHODOLOGICAL TOOLS
Creating New Variables with SPSS
Normal Distributions and Sampling Distributions
Sampling Designs
PART FOUR INFERENTIAL STATISTICS
Estimation
Hypothesis-Testing
PART FIVE
Correlation and the Regression Line
Two-Way Tables and the Chi-Squared Test
<i>t</i>-tests and ANOVA
Appendix I: Reporting a Quantitative Analysis
Appendix II: How to Create a Data File in SPSS
Appendix III: Areas Under the Normal Curve
Appendix IV: Table of Random Numbers
Glossary
Descriere
An
invaluable
resource
for
students
analysing
quantitative
data
with
IBM
SPSS
Statistics
for
the
first
time.