The Resource Approaches to Quantitative Research : a Guide for Dissertation Students, (electronic resource)

Approaches to Quantitative Research : a Guide for Dissertation Students, (electronic resource)

Label
Approaches to Quantitative Research : a Guide for Dissertation Students
Title
Approaches to Quantitative Research
Title remainder
a Guide for Dissertation Students
Creator
Subject
Genre
Language
eng
Summary
APPROACHES TO QUANTITATIVE RESEARCH is designed for both undergraduate and postgraduate business students who are planning to undertake a research project or dissertation. Due to a lack of formal research training and experience, students can find completing research projects a daunting task. This, coupled with a fear of statistics, can culminate in quite an overwhelming experience for many students. Therefore, APPROACHES TO QUANTITATIVE RESEARCH takes a practical approach to quantitative research techniques by providing step-by-step guides to their application and interpretation. By using
Cataloging source
EBLCP
Dewey number
808.02
Index
no index present
LC call number
LB2369
LC item number
.A677 2012eb
Literary form
non fiction
Nature of contents
dictionaries
Label
Approaches to Quantitative Research : a Guide for Dissertation Students, (electronic resource)
Link
http://massasoit.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&authtype=cookie%2Cip%2Ccpid&custid=massas&scope=site&db=nlebk&AN=1009963
Instantiates
Publication
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Copyright Page; Contributors; Acknowledgements; 1: Introduction; About each Chapter; The Structure of the Book; References; 2: Spss for Real Beginners; Introduction; Scales and Questionnaires; Basic Steps in SPSS; Miscellaneous; References; 3: Preliminary Data Analysis; Descriptives; Graphs; Correlations Between Variables; Multivariate Outliers and Normality; References; 4: T-Tests and Anova; Introduction; Description of the Technique; Data Requirements and Assumptions; A Worked Example; References; 5: Manova; Introduction; Types of Manova; Description of Factorial Manova
  • Reasons for Using ManovaData Requirements; A Worked Example for Factorial Manova; Post hoc Tests; Conclusion; References; 6: Correlation and Regression; Introduction; Correlation; Regression; A Worked Example; References; 7: Logistic Regression; Introduction; Description of the Technique; How to use Logistic Regression; Data Requirements; A Worked Example; Data Analysis Results; Conclusion; References; 8: Exploratory Factor Analysis; Introduction; When Would you use Factor Analysis?; The Difference Between Exploratory Factor Analysis and Principal Components Analysis; Data Requirements
  • Worked ExampleSummary; References; 9: Multidimensional Scaling; Introduction; Data Requirements; When to use it; Types of MDS; A Worked Example; Conclusion; References; Oak Tree Press
Control code
ocn870598630
Dimensions
unknown
Extent
1 online resource (access may be restricted)
Form of item
online
Governing access note
Access restricted to subscribing institution
Media category
computer
Media MARC source
rdamedia
Media type code
c
Specific material designation
remote
Label
Approaches to Quantitative Research : a Guide for Dissertation Students, (electronic resource)
Link
http://massasoit.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&authtype=cookie%2Cip%2Ccpid&custid=massas&scope=site&db=nlebk&AN=1009963
Publication
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Copyright Page; Contributors; Acknowledgements; 1: Introduction; About each Chapter; The Structure of the Book; References; 2: Spss for Real Beginners; Introduction; Scales and Questionnaires; Basic Steps in SPSS; Miscellaneous; References; 3: Preliminary Data Analysis; Descriptives; Graphs; Correlations Between Variables; Multivariate Outliers and Normality; References; 4: T-Tests and Anova; Introduction; Description of the Technique; Data Requirements and Assumptions; A Worked Example; References; 5: Manova; Introduction; Types of Manova; Description of Factorial Manova
  • Reasons for Using ManovaData Requirements; A Worked Example for Factorial Manova; Post hoc Tests; Conclusion; References; 6: Correlation and Regression; Introduction; Correlation; Regression; A Worked Example; References; 7: Logistic Regression; Introduction; Description of the Technique; How to use Logistic Regression; Data Requirements; A Worked Example; Data Analysis Results; Conclusion; References; 8: Exploratory Factor Analysis; Introduction; When Would you use Factor Analysis?; The Difference Between Exploratory Factor Analysis and Principal Components Analysis; Data Requirements
  • Worked ExampleSummary; References; 9: Multidimensional Scaling; Introduction; Data Requirements; When to use it; Types of MDS; A Worked Example; Conclusion; References; Oak Tree Press
Control code
ocn870598630
Dimensions
unknown
Extent
1 online resource (access may be restricted)
Form of item
online
Governing access note
Access restricted to subscribing institution
Media category
computer
Media MARC source
rdamedia
Media type code
c
Specific material designation
remote

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    • Massasoit Community College Brockton CampusBorrow it
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