Atnaujinkite slapukų nuostatas

Statistics for Psychology: A Guide for Beginners (and everyone else) [Minkštas viršelis]

4.12/5 (12 ratings by Goodreads)
  • Formatas: Paperback / softback, 352 pages, aukštis x plotis: 232x186 mm, weight: 680 g
  • Išleidimo metai: 08-Apr-2019
  • Leidėjas: Sage Publications Ltd
  • ISBN-10: 1526441268
  • ISBN-13: 9781526441263
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 352 pages, aukštis x plotis: 232x186 mm, weight: 680 g
  • Išleidimo metai: 08-Apr-2019
  • Leidėjas: Sage Publications Ltd
  • ISBN-10: 1526441268
  • ISBN-13: 9781526441263
Kitos knygos pagal šią temą:
This short, concise book will guide the reader to an understanding of the principles behind the myriad of statistical practices they might encounter during their Psychology degree and beyond.


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.

Key features: 

  • A principles-based approach, helping students to apply and adapt their skills to a variety of situation
  • Test out principles in practice on the companion website with statistics scenarios
  • Carefully designed graphics to explain statistical principles
  • Links to relevant sources / further reading for statistical packages, so the book can be used as a portal to/ springboard for further study.
  • Developed in conjunction with students means this book answers the key challenges students face.
  • Based on a BPS commended programme

Supported by a wealth of online resources at www.sagepub.co.uk/statisticsforpsychology  

Recenzijos

This book is great. It is clear and accessible, yet comprehensive and integrated. Students can make use of it at any level of their education because it is layered or you can skim for the essentials or delve into the depths. A fabulous addition to the market.! -- Rebecca Owens I love the fact that the book is so concisely and clearly written, yet with sufficiently detailed and with great suggestions for further reading. For me, this makes it the preferred statistics book; easy to approach and to keep in regular use! -- Milja-Leea Bergenheim This book will be a great help in making statistics accessible to all. In addition to guiding the reader through theory and statistical formulae, it provides really helpful examples and explanations. A must-have book for any statistics bookshelf!  -- Pauline Hyland This book is great! Its written in a way that is both engaging and easy to follow and avoids all the stress inducing jargon of most other stats textbooks available. I cannot recommend this enough to anyone starting out in stats or those just needing a bit of a refresher course! -- Euan Roach I am a firm believer that many of students difficulties with statistics learning stem from a lack of understanding about the bigger picture of statistics and research in psychology. This book explicitly emphasises the importance of the bigger picture of statistics, so students understand why they need to learn statistics, not just how to run particular tests. The book is visually interesting, well structured to ease students in, and written in an accessible language that makes statistics seem much more manageable.  -- Kireran Balloo "This is the statistics textbook equivalent of vegetable soup: goes down easily and its good for you. This is a great text for a new generation of Psychology researchers who aim to do reproducible work; the book clearly and logically connects study design to analysis, while instilling good research practices."  -- Vlad Costin, A well thought out book, written in clear easy to understand language.  By using a single example of a research question, (whether a risk-taking affects exam performance) the authors introduce students to some of the basic statistical tests as well as data manipulation and understanding the relationships between variables. High on theory and low on math, this is a good introductory textbook for first-year students. -- Caroline Hands I love this book, it is very well structured and is easy to follow. I think one reason for this is because it uses an example hypothesis throughout the book, thus it leaves no place for confusion. More importantly, its explicit and simple wording helps to understand the frightening topic of statistics better, takes away the fear and makes statistics a very interesting part of psychology.  -- Malin Hasenbeck This is an outstanding book. Transitioning from my old and standard psychology statistics textbook required by my class to this textbook was the best thing I could have ever done. The format is easily approachable and truly engages the reader, making the learning process much quicker and more enjoyable. Not only did my grades improve but I now also have a greater long-lasting understanding of the mechanisms and applications of psychology statistics within my own research.



  -- Aylie Yousif An engaging text for psychology students learning foundational statistics. Of great value to the beginner student, is the initial section answering: Why do we need statistics? An incredibly common question amongst psychology students who aim to be consumers, rather than producers of statistics. This book helps students to develop an appreciation for the worth of statistics in their professional life, enabling graduates to become more confident and competent in tackling real community issues.





I firmly believe the combination of presentation elements will aid students in developing their statistical literacy. The fonts and icons remind me of a study bullet-journal, and I think this will encourage students to be more reflective in their statistics learning. This textbook also includes a companion website for students, with practice questions and answers, videos, and relevant articles. It encourages curiosity and a sense of discovery, critical traits in the social sciences.





The significance of Statistics for Psychology: A beginners guide is that it provides an easy-to-read style of material structured to build on previous knowledge. The student is guided through the conceptual complexities that arise with the study of statistics, as it challenges their day-to-day way of thinking. Given the relevancy of the textbook by including new statistics as well as null hypothesis significance tests, I expect it to have longevity in the university classroom. I highly recommend this text for introductory psychology statistics classes. -- Charmayne Paul This practical guide is intended to provide beginners with a strong statistical foundation. It covers all the key tools and concepts needed to be able to do and understand psychological research. It starts by giving a broader picture of statistics as a motivational tool, but also provides detailed step-by-step guides. -- Professor Dr Lucia Reisch

About the Authors xix
Acknowledgements xxi
How to Use This Book xxii
Starting with Four Big Pictures xxv
1 Why Do We Need Statistics?
1(10)
Collecting Some Data
3(1)
Describing the Data
4(1)
Uncertainty in the Data
5(2)
Variability
7(4)
2 The Research Cycle
11(18)
The Research Process
13(1)
Phase 1 Ideas, Hypotheses and Design
13(7)
Phase 2 Evidence, Analysis and Inference
20(2)
Phase 3 Results, Presenting and Persuading
22(7)
3 Variables
29(26)
What are Variables?
31(3)
Variability and Variables
34(3)
Measuring Variables
37(2)
Types of Measurement Value
39(3)
Distributions of Values
42(1)
Interval Variables
43(5)
Ordinal Variables
48(1)
Categorical Variables
49(6)
4 Relationships between Variables
55(30)
What Is a Relationship between Variables?
57(1)
The Logic of Relationships
57(4)
Types of Relationship
61(9)
The Strength of a Relationship: Effect Sizes
70(9)
Effect Sizes in Psychology
79(1)
Relationships, Statistics and Variability
80(5)
INTERMEZZO 1 CORRELATION
85(76)
5 Uncertainty
91(24)
Why is Uncertainty Important?
93(1)
What is Uncertainty?
93(1)
Variability: Possible Samples from One Population
93(9)
Uncertainty: Possible Populations with One Sample
102(7)
Putting It Together
109(6)
6 Null Hypothesis Testing
115(24)
The Logic of Null Hypothesis Testing
117(7)
Likelihood Functions and Null Hypothesis Testing
124(1)
The Consequences of Null Hypothesis Testing
125(3)
A Conversation about Testing for Null Effects
128(3)
Summary
131(1)
An Even Bigger Picture
131(8)
7 Statistical Tests for One Independent Variable
139(22)
The Logic of a Statistical Test
141(2)
The Specific Statistical Tests
143(12)
A Little Extra Knowledge
155(6)
INTERMEZZO 2 TAILS - ONE, TWO OR MANY?
161(66)
8 Minimising Uncertainty: Research Design
167(20)
A Brief Recap of Uncertainty
169(1)
Planning Ahead: Predictions
169(6)
Using Expected Outcomes to Check a Design
175(5)
Design for Causation
180(1)
Basic Design Elements
181(1)
A General Framework for Design Decisions
182(5)
9 Measurements and Uncertainty
187(14)
Decision 1 Measurement Type
189(1)
Decision 2 Measurement Values
190(3)
Accuracy of Measurements
193(4)
Ethics of Measurements
197(4)
10 Sampling and Uncertainty
201(26)
Decision 1 Recruiting Participants
203(3)
Decision 2 How to Use Participants
206(3)
Decision 3 How Many Participants?
209(3)
Pitfalls in Sampling Design
212(6)
Outliers
218(1)
Practical Matters - or How (Not) to Cheat
219(8)
INTERMEZZO 3 REPLICATION AND META-ANALYSIS
227(86)
11 Hypotheses with More than One Independent Variable
235(22)
The Basic Structure
237(2)
Idea 1 Main Effects - Separate Relationships for Each IV
239(5)
Idea 2 Interactions - One IV Switches the Effect of Another
244(7)
Putting It All Together
251(6)
12 Covariations: Relationships between Two Independent Variables
257(18)
Step 1 Total Effect Sizes
259(2)
Step 2 Unique Effect Sizes
261(2)
The Two Meanings of Covariation
263(1)
Another Example of Covariation
264(5)
Putting It All Together
269(6)
13 Analysing Data with Two or More Independent Variables
275(20)
Different Ways to Describe Effect Sizes
277(1)
General Linear Model
277(7)
ANOVA
284(3)
Generalised Linear Model
287(1)
The Historical Statistical Tests
288(2)
Using These Analyses
290(5)
14 Which Model is Best?
295(18)
Choosing between Models
297(2)
A New Concept: Statistics for Building and Comparing Models
299(2)
Thinking about Causation in Models
301(1)
Multivariate Models
302(1)
Mediation
303(2)
Path Models
305(2)
SEM Analysis
307(1)
A Summary: Bigger and Bigger Pictures
307(6)
Finishing with One Bigger Picture 313(4)
References 317(2)
Index 319
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. .