Statistics for psychology : A beginner's guide / by Roger Watt

By:

Watt, Roger

Contributor(s):

Collins, Elizabeth

Material type: Text

TextPublication details: Los Angeles : SAGE, c2023.Edition: Second EditionDescription: xxxii, 356 pages ; illustrated : 23 cmISBN:

978-1-5297-7792-5

Subject(s):

DDC classification:

Second edition BCir. 150.727 W29s

Contents:

Contents: 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

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Holdings
Item type	Home library	Call number	Status	Date due	Barcode
Bansalan Circulation1	UM Bansalan College LIC	BCir. 150.727 W29s 2023 (Browse shelf(Opens below))	Available		9046
Bansalan Circulation1	UM Bansalan College LIC	BCir. 150.727 W29s 2023 (Browse shelf(Opens below))	Available		8518

Includes index.

Contents: 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

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