Fresh, practical and classroom tested this is a clear introduction to the basics of statistical analysis that uses humour and honesty to grab students' attention.
Fresh, practical and classroom tested this is a clear introduction to the basics of statistical analysis that uses humour and honesty to grab students' attention.
Dr Paul Christiansen is a Senior Lecturer in Statistics in the Department of Psychology at the University of Liverpool. He is interested in research integrity with a particular focus on accurate measurement (psychometrics). He works across a range of fields in Psychology as well as medical research.
Inhaltsangabe
Chapter 1: The SPSS and R studio working environments Chapter 2: Central tendency and dispersion Chapter 3: General statistical tools (Distributions and Outliers) Chapter 4: Chi square (?2) Chapter 5: Correlating variables Chapter 6: Linear Regression part one Chapter 7: Linear Regression part two, hierarchical and assumption checking Chapter 8: Logistic regression Chapter 9. Comparing a sample distribution against a reference value (one-sample tests) Chapter 10. Comparing two dependent samples Chapter 11: Comparing two independent samples Chapter 12: Comparing three or more dependent samples Chapter 13: Comparing three or more independent samples Chapter 14: Complex ANOVAs Chapter 15: Analysis of Covariance (ANCOVA) Chapter 16: Multivariate Analysis of Variance (MANOVA) Chapter 17: Reliability analysis Chapter 18: Dimension reduction and Exploratory factor analysis
Chapter 1: The SPSS and R studio working environments Chapter 2: Central tendency and dispersion Chapter 3: General statistical tools (Distributions and Outliers) Chapter 4: Chi square (?2) Chapter 5: Correlating variables Chapter 6: Linear Regression part one Chapter 7: Linear Regression part two, hierarchical and assumption checking Chapter 8: Logistic regression Chapter 9. Comparing a sample distribution against a reference value (one-sample tests) Chapter 10. Comparing two dependent samples Chapter 11: Comparing two independent samples Chapter 12: Comparing three or more dependent samples Chapter 13: Comparing three or more independent samples Chapter 14: Complex ANOVAs Chapter 15: Analysis of Covariance (ANCOVA) Chapter 16: Multivariate Analysis of Variance (MANOVA) Chapter 17: Reliability analysis Chapter 18: Dimension reduction and Exploratory factor analysis
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826