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Statistical Methods for Psychology
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KZT 27705
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STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education.
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Информация о продукте
| Publisher | Wadsworth Pub Co |
| Publication date | January 1, 2009 |
| Edition | 7th |
| Language | English |
| Print length | 768 pages |
| ISBN-10 | 0495597848 |
| ISBN-13 | 978-0495597841 |
| Item Weight | 3.4 pounds (1.54 kg) |
| Dimensions | 8.25 x 1.5 x 10.25 inches (21 x 3.8 x 26 cm) |
| Country of Origin | This item will be imported from US |
| Date First Available | June 26, 2021 |
| What is in the box | Statistical Methods for Psychology... For more details, please check description/product details |
Who Should Buy?
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Psychology Students
Perfect for undergraduate and graduate psychology students needing a comprehensive understanding of statistical methods in research.
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Research Professionals
Ideal for professionals in psychology and related fields involved in data analysis and interpretation of research findings.
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Self-Learners
Great for individuals eager to learn psychology statistics independently with structured content and clear explanations.
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General Readers
Not suitable for those with no background in statistics or psychology, as content can be quite advanced.
ОПИСАНИЕ ТОВАРА
Statistical Methods for Psychology
Вопросы и ответы клиентов
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вопрос:
Who is the author of the book?
отвечать: David Howell -
вопрос:
What are the two key themes of the book?
отвечать: Importance of looking at the data before hypothesis testing and Importance of knowing the relationship between statistical test and theoretical questions -
вопрос:
What disciplines does the book specifically cover?
отвечать: Behavioral and social sciences, especially psychology and education
Psychology & Counseling Editorial Review
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KZT 27705
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Особенности и преимущества
- Comprehensive coverage of statistical techniques for psychology and education
- Emphasis on conceptual understanding
- Updated discussion of effect sizes
- Examples on how to write up the results of data analysis
- Importance of looking at the data before hypothesis testing
- Importance of knowing the relationship between statistical test and theoretical questions
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