Statistics for Psychology : a guide for beginners and anyone else / Roger Watt and Elizabeth Collins

By:

Watt, Roger

Contributor(s):

Collins, Elizabeth

Material type: Text

TextPublication details: Los Angeles ; Sage Publications, c2019Description: xxvi, 322 pages : color illustrations ; 24cmISBN:

978-1-5264-4126-3

LOC classification:

GC BF 39 .W38 2019 c.1

Contents:

1. Why Do We Need Statistics? -- 2. The Research Cycle -- 3. Variables -- 4. Relationships between Variables -- 5. Uncertainty -- 6. Null Hypothesis Testing -- 7. Statistical Tests for One Independent Variables -- 8. Minimising Uncertainty: Research Design -- 9. Measurements and Uncertainty -- 10. Sampling and Uncertainty -- 11. Hypotheses with More than One Dependent Variable -- 12. Covariations: Relationships between Two Independent Variables -- 13. Analysis Data with Two or More Independent Variables -- 14. Which Model is Best?

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.

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Holdings
Item type	Current library	Home library	Shelving location	Call number	Status	Date due	Barcode
Books	NU BALIWAG	NU BALIWAG	General Circulation	GC BF 39 .W38 2019 c.1 (Browse shelf(Opens below))	Available		NUBUL000004406

Includes reference and index

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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