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Statistics for psychology : a guide for beginners and everyone else / Roger Watt and Elizabeth Collins

By: Contributor(s): Material type: TextTextPublication details: Los Angeles, California : Sage Publications, c2019Description: xviii, 322 pages : illustrations ; 23cmISBN:
  • 9781526441263
Subject(s): LOC classification:
  • BF 39 .W38 2019
Contents:
Chapter 1: Why do we need statistics? -- Chapter 2: The research cycle -- Chapter 3: Variables -- Chapter 4: Relationships between variables -- Chapter 5: Uncertainty in research -- Chapter 6: Null hypothesis testing -- Chapter 7: Statistical tests forone independent variable -- Chapter 8: Minimising uncertainty: research design -- Chapter 9: Measurements and uncertainty Chapter 10: Sampling and uncertainty -- Chapter 11: Hypotheses with more than one independent variable -- Chapter 12: Covariations: relationships between two independent variables.
Summary: This concise, easy-to-understand and highly visual book helps students to understand the principles behind the many statistical practices. This text helps students to build a mental map to enable them to work their way through tests and procedures with a better level of understanding (and ultimately feel more confident and get better grades). Statistical analysis will also be covered in the book in the same simple-to-follow way, without messy details or complicated formulae. However, this approach does not lead to simple understanding. Instead it allows students to really grasp how to use, and be creative with, statistics
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Graduate Studies General Circulation Master of Science in Psychology GC BF 39 .W38 2019 (Browse shelf(Opens below)) c.1 Available NULIB000019365

Includes bibliographical references.

Chapter 1: Why do we need statistics? -- Chapter 2: The research cycle -- Chapter 3: Variables -- Chapter 4: Relationships between variables -- Chapter 5: Uncertainty in research -- Chapter 6: Null hypothesis testing -- Chapter 7: Statistical tests forone independent variable -- Chapter 8: Minimising uncertainty: research design -- Chapter 9: Measurements and uncertainty Chapter 10: Sampling and uncertainty -- Chapter 11: Hypotheses with more than one independent variable -- Chapter 12: Covariations: relationships between two independent variables.

This concise, easy-to-understand and highly visual book helps students to understand the principles behind the many statistical practices. This text helps students to build a mental map to enable them to work their way through tests and procedures with a better level of understanding (and ultimately feel more confident and get better grades). Statistical analysis will also be covered in the book in the same simple-to-follow way, without messy details or complicated formulae. However, this approach does not lead to simple understanding. Instead it allows students to really grasp how to use, and be creative with, statistics

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