Quantitative Data Analysis with Minitab

Regular price €51.99
A01=Alan Bryman
A01=Duncan Cramer
advanced quantitative methods for social research
Author_Alan Bryman
Author_Duncan Cramer
box
Category=JHBA
Category=JHBC
Category=JMB
Category=ULH
Category=UNC
Central Tendency
contingency table analysis
dialog
Dialog Box
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
factor analysis techniques
Inter-quartile Range
Interval Variable
job
Job Satisfaction Items
Job Survey
Job Survey Data
Leaf Display
measurement validity
menu
Menu Action
Menu Procedure
Menu Sequence
Menu System
Minitab Commands
Multiple Item Measures
Multiple Item Scales
Negative Relationships
nonparametric statistical tests
ordinal
Ordinal Variables
procedure
Prompt System
Quantitative Research
Random Assignment
regression modelling
satisfaction
Scatter Diagram
Seq SS Adj SS Adj
Simple Random Sample
social science statistics
SS Adj SS Adj MS
STDEV SE
survey
system
variable

Product details

  • ISBN 9780415123242
  • Weight: 560g
  • Dimensions: 156 x 234mm
  • Publication Date: 06 Jun 1996
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version.
Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises.
Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.