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Statistics for Psychology: A Beginners Guide 2nd Revised edition [Pehme köide]

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  • Formaat: Paperback / softback, 392 pages, kõrgus x laius: 232x186 mm, kaal: 730 g
  • Ilmumisaeg: 01-Feb-2023
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1529777925
  • ISBN-13: 9781529777925
Teised raamatud teemal:
Statistics for Psychology: A Beginners Guide 2nd Revised editionSuurem pilt
  • Formaat: Paperback / softback, 392 pages, kõrgus x laius: 232x186 mm, kaal: 730 g
  • Ilmumisaeg: 01-Feb-2023
  • Kirjastus: Sage Publications Ltd
  • ISBN-10: 1529777925
  • ISBN-13: 9781529777925
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781529777925.html
Märksõnad:

A student-friendly, highly visual guide to really understanding the big picture and principles behind the many different statistical practices in Psychology.



Statistics for Psychology is an interactive, highly visual, and accessible guide to the statistical practices you will encounter as a psychology student. Its software-agnostic approach keeps the focus on the core principles, rather than getting bogged down in complicated formulae and jargon. This book is based on the authors' BPS commended programme. It focusses on providing the strong foundational understanding you’ll need to use statistics confidently and creatively rather than the software-specific way in which statistics is often taught.

This edition includes:
  • new content throughout on being a responsible researcher,
  • a new chapter to support you in presenting your research to a critical audience,
  • carefully designed graphics to explain statistical principles,
  • “your turn” exercises to test your understanding of each chapter.

This book is the ideal guide for students approaching statistics and research methods in psychology for the first time. 

Roger Watt is Emeritus Professor of Psychology at the University of Stirling.
Elizabeth Collins is a researcher with a PhD in Psychology. 

List of Figures
xiii
List of Tables
xix
About the Authors xxi
Acknowledgements xxiii
Online Resources xxv
How to Use This Book xxvii
Starting with Four Big Pictures xxxi
1 Why Do We Need Statistics?
1(12)
Collecting Some Data
3(1)
Describing the Data
4(2)
Uncertainty in the Data
6(1)
Variability
6(7)
2 The Research Cycle
13(18)
The Research Process
14(1)
Phase 1 Ideas, Hypotheses and Design
15(7)
Phase 2 Evidence, Analysis and Inference
22(2)
Phase 3 Results, Presenting and Persuading
24(1)
Being a Responsible Researcher
25(6)
3 Variables
31(28)
What are Variables?
32(4)
Variability and Variables
36(3)
Measuring Variables
39(2)
Types of Measurement Value
41(4)
Distributions of Values
45(1)
Interval Variables
46(4)
Ordinal Variables
50(2)
Categorical Variables
52(1)
Being a Responsible Researcher
53(6)
4 Relationships between Variables
59(30)
What is a Relationship between Variables?
61(1)
The Logic of Relationships
62(3)
Types of Relationship
65(9)
The Strength of a Relationship: Effect Sizes
74(9)
Being a Responsible Researcher
83(6)
INTERMEZZO 1 CORRELATION
89(82)
5 Uncertainty
97(26)
Why is Uncertainty Important?
98(1)
What is Uncertainty?
99(1)
Variability: Possible Samples from One Population
100(9)
Uncertainty: Possible Populations with One Sample
109(8)
Putting It Together
117(1)
Being a Responsible Researcher
118(5)
6 Null Hypothesis Testing
123(22)
The Logic of Null Hypothesis Testing
124(7)
Likelihood Functions and Null Hypothesis Testing
131(1)
The Consequences of Null Hypothesis Testing
132(3)
A Conversation about Testing for Null Effects
135(3)
An Even Bigger Picture
138(2)
Being a Responsible Researcher
140(5)
7 Statistical Tests for One Independent Variable
145(26)
The Logic of a Statistical Test
146(3)
The Specific Statistical Tests
149(12)
Tails - One, Two or Many?
161(4)
A Little Extra Knowledge
165(6)
INTERMEZZO 2 ALTERNATIVES TO NHST: BAYES AND LIKELIHOOD
171(76)
8 Minimising Uncertainty: Research Design
187(20)
A Brief Recap of Uncertainty
188(1)
Planning Ahead: Predictions
189(6)
Using Expected Outcomes to Check a Design
195(5)
Design for Causation
200(1)
Basic Design Elements
201(1)
A General Framework for Design Decisions
202(1)
Being a Responsible Researcher
202(5)
9 Measurements and Uncertainty
207(16)
Decision 1 Measurement Type
208(1)
Decision 2 Measurement Values
209(4)
Accuracy of Measurements
213(4)
Ethics of Measurements
217(1)
Being a Responsible Researcher
217(6)
10 Sampling and Uncertainty
223(24)
Decision 1 Recruiting Participants
224(4)
Decision 2 How to Use Participants
228(2)
Decision 3 How Many Participants?
230(3)
Pitfalls in Sampling Design
233(7)
Outliers
240(1)
Practical Matters - or How (Not) to Cheat
241(2)
Being a Responsible Researcher
243(4)
INTERMEZZO 3 UNCERTAIN POWER ANALYSIS
247(88)
11 Hypotheses with More than One Independent Variable
257(22)
The Basic Structure
259(2)
Idea 1 Main Effects - Separate Relationships for Each IV
261(7)
Idea 2 Interactions - One IV Switches the Effect of Another
268(6)
Putting It All Together
274(1)
Being a Responsible Researcher
275(4)
12 Covariations: Relationships between Two Independent Variables
279(18)
Step 1 Total Effect Sizes
281(2)
Step 2 Unique Effect Sizes
283(1)
The Two Meanings of Covariation
284(3)
Another Example of Covariation
287(4)
Putting It All Together
291(1)
Being a Responsible Researcher
292(5)
13 Analysing Data with Two or More Independent Variables
297(20)
Different Ways to Describe Effect Sizes
298(1)
General Linear Model
298(7)
Anova
305(4)
Generalised Linear Model
309(1)
The Historical Statistical Tests
310(1)
Using These Analyses
311(1)
Being a Responsible Researcher
312(5)
14 Which Model is Best?
317(18)
Choosing between Models
318(3)
A New Concept: Statistics for Building and Comparing Models
321(1)
Thinking about Causation in Models
322(1)
Multivariate Models
323(1)
Mediation
324(2)
Path Models
326(2)
SEM Analysis
328(1)
A Summary: Bigger and Bigger Pictures
328(1)
Being a Responsible Researcher
329(6)
INTERMEZZO 4 COMBINING MULTIPLE STUDIES: REPLICATION AND META ANALYSIS
335(16)
15 Contributing to Knowledge
345(6)
Presenting
347(1)
Persuading
348(1)
Principles for Responsible Research
349(1)
Postscript
350(1)
References 351(2)
Index 353
Roger Watt is Emeritus Professor of Psychology at the University of Stirling. He has spent many years rejecting the system and instead is persistently stubborn in doing things his own way. He most enjoys his trumpet, his watercolours, and whatever he has managed to grow in his garden. Statistics for Psychology is the culmination of several years of pushing for change in how statistics should be approached by psychologists and students. Dr Elizabeth Collins is a curious psychology researcher, who has spent many years translating indecipherable and anxiety-inducing statistics jargon to her peers and to her students. A keen world traveller, photographer and bookworm, she fell into statistics accidentally after becoming a peer tutor during her undergraduate studies. She has spent several years contributing heavily to undergraduate statistics teaching,  and hopes Statistics for Psychology can offer a helping hand to researchers worldwide. .