Statistics for Psychology
Autor Roger Watt, Elizabeth Collinsen Limba Engleză Hardback – 28 ian 2023
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Specificații
ISBN-13: 9781529777932
ISBN-10: 1529777933
Pagini: 392
Dimensiuni: 196 x 241 x 26 mm
Greutate: 0.89 kg
Ediția:2. Auflage
Editura: SAGE Publications Ltd
ISBN-10: 1529777933
Pagini: 392
Dimensiuni: 196 x 241 x 26 mm
Greutate: 0.89 kg
Ediția:2. Auflage
Editura: SAGE Publications Ltd
Cuprins
Chapter 1: Why Do We Need Statistics?
Chapter 2: The Research Cycle
Chapter 3: Variables
Chapter 4: Relationships between Variables
Intermezzo 1: Correlation
Chapter 5: Uncertainty
Chapter 6: Null Hypothesis Testing
Chapter 7: Statistical Tests for One Independent Variable
Intermezzo 2: Alternatives to NHST: Bayes and Likelihood
Chapter 8: Minimising Uncertainty: Research Design
Chapter 9: Measurements and Uncertainty
Chapter 10: Sampling and Uncertainty
Intermezzo 3: Uncertain Power Analysis
Chapter 11: Hypotheses with More than One Independent Variable
Chapter 12: Covariations: Relationships between Two Independent Variables
Chapter 13: Analysing Data with Two or More Independent Variables
Chapter 14: Which Model is Best?
Intermezzo 4: Combining Multiple Studies: Replication and Meta-Analysis
Chapter 15: Contributing to Knowledge
Chapter 2: The Research Cycle
Chapter 3: Variables
Chapter 4: Relationships between Variables
Intermezzo 1: Correlation
Chapter 5: Uncertainty
Chapter 6: Null Hypothesis Testing
Chapter 7: Statistical Tests for One Independent Variable
Intermezzo 2: Alternatives to NHST: Bayes and Likelihood
Chapter 8: Minimising Uncertainty: Research Design
Chapter 9: Measurements and Uncertainty
Chapter 10: Sampling and Uncertainty
Intermezzo 3: Uncertain Power Analysis
Chapter 11: Hypotheses with More than One Independent Variable
Chapter 12: Covariations: Relationships between Two Independent Variables
Chapter 13: Analysing Data with Two or More Independent Variables
Chapter 14: Which Model is Best?
Intermezzo 4: Combining Multiple Studies: Replication and Meta-Analysis
Chapter 15: Contributing to Knowledge