Cantitate/Preț
Produs
Total produse
Vezi coșul
Statistics Explained de Perry R. Hinton

Statistics Explained

Autor Perry R. Hinton
en Limba Engleză Paperback – 6 mar 2014

Cea de-a patra ediție a lucrării Statistics Explained aduce o revizuire substanțială necesară în peisajul academic actual, integrând metode moderne precum bootstrapping-ul și modelarea prin ecuații structurale (SEM), teme care depășesc cadrul introducerilor clasice. Subliniem faptul că autorul Perry R. Hinton reușește să demistifice logica din spatele analizelor complexe, fără a presupune cunoștințe matematice avansate din partea cititorului. Reținem introducerea capitolului zece, dedicat eșantionării și inferenței statistice, care oferă un ghid practic pentru evaluarea preliminară a datelor înainte de aplicarea testelor propriu-zise.

Structura cărții urmărește o progresie logică riguroasă, pornind de la statistica descriptivă și scorurile standard, trecând prin testarea ipotezelor și analiza de varianță (ANOVA), până la corelații multiple și Modelul Liniar General. Această organizare permite o navigare facilă între teorie și aplicațiile practice, susținută de cele peste o sută de ilustrații color care clarifică distribuțiile și modelele statistice. Considerăm această lucrare o alternativă solidă la Statistics for Research de George Argyrous pentru cursurile de metodologie în științele sociale, având avantajul unei corelări directe cu software-ul de analiză prin volumul complementar al autorului, SPSS Explained.

În contextul operei sale, Perry R. Hinton își folosește experiența vastă în predare pentru a aborda statisticile nu ca pe un set de formule abstracte, ci ca pe un instrument de interpretare a realității sociale, abordare vizibilă și în lucrările sale despre percepția umană sau stereotipuri, precum The Perception of People. Rezultatul este un manual care transformă rigoarea statistică într-un proces accesibil și aplicabil în discipline diverse, de la psihologie la științele sportului.

Citește tot Restrânge

Preț: 48504 lei

Puncte Express: 728
Paperback (2) de la 33708 lei

Carte disponibilă

Livrare economică 07-21 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9781848723122
ISBN-10: 1848723121
Pagini: 376
Ilustrații: 48 colour illustrations, 83 colour tables, 1 colour illustrations, 47 colour line drawings
Dimensiuni: 189 x 246 x 20 mm
Greutate: 0.76 kg
Ediția:Nouă
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

De ce să citești această carte

Această ediție este esențială pentru studenții din științele comportamentale și sociale care au nevoie de o bază conceptuală solidă fără a fi copleșiți de formalism matematic. Cititorul câștigă o înțelegere clară a modului în care se aleg și se interpretează testele statistice, beneficiind de explicații moderne despre bootstrapping și inferență, totul într-un format vizual prietenos și ușor de parcurs.

Despre autor

Perry R. Hinton este un academician cu o experiență de zeci de ani în predarea statisticii pentru studenți din diverse discipline, inclusiv psihologie, sociologie și comunicare media. Expertiza sa pedagogică se concentrează pe identificarea și depășirea obstacolelor conceptuale pe care le întâmpină începătorii în analiza datelor. Pe lângă contribuțiile sale în domeniul metodologiei, Hinton este cunoscut pentru lucrările sale de psihologie socială, precum Stereotypes and the Construction of the Social World și The Perception of People, unde explorează modul în care indivizii procesează informațiile despre ceilalți și despre societate.

Descriere scurtă

Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader’s statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book:
  • provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research data
  • gives accessible explanations of how and why statistical tests are used
  • includes a wide range of practical, easy-to-understand worked examples.
Building on the international success of earlier editions, this fully updated revision includes developments in statistical analysis, with new sections explaining concepts such as bootstrapping and structural equation modelling. A new chapter - ‘Samples and Statistical Inference’ - explains how data can be analysed in detail to examine its suitability for certain statistical tests.
The friendly and straightforward style of the text makes it accessible to all those new to statistics, as well as more experienced students requiring a concise guide. It is suitable for students and new researchers in disciplines including Psychology, Education, Sociology, Sports Science, Nursing, Communication, and Media and Business Studies.
Presented in full colour and with an updated, reader-friendly layout, this new edition also comes with a companion website featuring supplementary resources for students. Unobtrusive cross-referencing makes it the ideal companion to Perry R. Hinton’s SPSS Explained, also published by Routledge.
Perry R. Hinton has many years of experience in teaching statistics to students from a wide range of disciplines and his understanding of the problems students face forms the basis of this book.

Cuprins

1 Introduction  2 Descriptive Statistics  3 Standard Scores  4 Introduction to Hypothesis Testing  5 Sampling  6 Hypothesis Testing with One Sample  7 Selecting Samples for Comparison  8 Hypothesis Testing with Two Samples  9 Significance, Error and Power  10 Samples and Statistical Inference 11 Introduction to the Analysis of Variance  12 One Factor Independent Measures ANOVA  13 Multiple Comparisons  14 One Factor Repeated Measures ANOVA  15 The Interaction of Factors in the Analysis of Variance  16 The Two Factor ANOVA  17 Two Sample Nonparametric Analyses  18 One Factor ANOVA for Ranked Data  19 Analysing Frequency Data: Chi-Square  20 Linear Correlation and Regression  21 Multiple Correlation and Regression  22 Complex Analyses  23 An Introduction to the General Linear Model  24 Postscript  Notes  Glossary  References  Appendix  Index

Notă biografică

Perry R. Hinton is a psychologist, and has worked for over twenty-five years in four British universities, in positions ranging from lecturer to Head of Department. He has taught in the areas of cognitive and social psychology, and research methods and statistics, primarily to psychology and communication and media students; but also to a wide range of students studying subjects including nursing, social work, linguistics, philosophy and education. He has written four textbooks and edited the Psychology Focus series for Routledge.

Recenzii

"I am using Statistics Explained to demystify statistics in applied fields and for this it is doing a perfect job. All essential statistical approaches are covered in an easy to understand way and the used examples provide confirmation of the learned theory." – Reyer Zwiggelaar, Aberystwyth University, UK
"I have been a fan of Hinton's Statistics Explained from its first edition and I still think this is one of the best introductory level texts on the market. The combination of clear explanation, simple worked examples and friendly style make an excellent choice for introductory classes in psychology and related disciplines." – Thom Baguley, Nottingham Trent University, UK
"This book really delivers on its title: It provides in-depth explanations of the reasoning behind statistical analyses. It gives students a solid understanding of some of the most important current statistical analyses, with all their conditions and pitfalls. That is exactly what is needed. I have used Statistics Explained in both graduate and undergraduate introduction courses to statistics for linguists, and will definitely continue using it. I think it is the perfect foundation for statistical analyses of language data. In the 3rd edition, I am happy to see improvements over the already excellent 2nd edition, for example in the explanation of confidence intervals. There is a great new chapter on samples and statistical inference, and a postscript that makes an excellent point about biases in the field as a whole. " – Katrin Erk, The University of Texas at Austin, USA

"I have been a fan of Hinton's Statistics Explained from its first edition and I still think this is one of the best introductory level texts on the market. The combination of clear explanation, simple worked examples and friendly style make an excellent choice for introductory classes in psychology and related disciplines." – Thom Baguley, Nottingham Trent University, UK
"This book really delivers on its title: It provides in-depth explanations of the reasoning behind statistical analyses. It gives students a solid understanding of some of the most important current statistical analyses, with all their conditions and pitfalls. That is exactly what is needed. … I have used Statistics Explained in both graduate and undergraduate introduction courses to statistics, and will definitely continue using it. In the 3rd edition, I am happy to see improvements over the already excellent 2nd edition, for example in the explanation of confidence intervals. There is a great new chapter on samples and statistical inference, and a postscript that makes an excellent point about biases in the field as a whole." – Katrin Erk, The University of Texas at Austin, USA
"I am using Statistics Explained to demystify statistics in applied fields and for this it is doing a perfect job. All essential statistical approaches are covered in an easy to understand way and the used examples provide confirmation of the learned theory." – Reyer Zwiggelaar, Aberystwyth University, UK