[PDF] Data Analysis for the Social Sciences: Integrating Theory and Practice by Douglas Bors
Data Analysis for the Social Sciences: Integrating Theory and Practice. Douglas Bors
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ISBN: 9781446298480 | 664 pages | 17 Mb
- Data Analysis for the Social Sciences: Integrating Theory and Practice
- Douglas Bors
- Page: 664
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781446298480
- Publisher: SAGE Publications
Free audiobook downloads uk Data Analysis for the Social Sciences: Integrating Theory and Practice (English Edition) by Douglas Bors 9781446298480
Data Analysis for the Social Sciences: Integrating Theory and Practice by Douglas Bors Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM® SPSS® Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability. Readers will learn how to: Describe data with graphs, tables, and numbers Calculate probability and value distributions Test a priori and post hoc hypotheses Conduct Chi-squared tests and observational studies Structure ANOVA, ANCOVA, and factorial designs Supported by extensive visuals and a companion website with interactive demonstrations, author video, and practice datasets, this book is the student-focused companion to support learners through their statistics journeys.
Chapter 13: Factor Analysis | SAGE Companion - Sage Publications
Data Analysis for the Social Sciences: Integrating Theory and Practice with an eigenvalue is based on the number of variables analysed. An eigenvalue is the percentage of the total variance the average variable in the data set accounts for divided by the percentage of the variance for which the derived factor accounts:.
SPSS Datasets | SAGE Companion - Sage Publications
Data Analysis for the Social Sciences: Integrating Theory and Practice. by Douglas Bors. Toggle nav. Student Resources. Maths Diagnostic Pre-Test · Interactive Demonstrations & Simulations · SPSS Datasets · In-Chapter Review & Challenge Question Answers · Chapter 2: Descriptive Statistics · Chapter 3: Probability
Data Analysis for the Social Sciences : Douglas bors - Blackwell's
Data Analysis for the Social Sciences Integrating Theory and Practice. 1st edition. Douglas bors. Hardback (16 Jan 2018) | English. Save $17.79. $140.00; $122.21 . In Stock. Add to basket. Includes delivery to USA. 10+ copies available online - Usually dispatched within 48 hours
Maths Diagnostic Pre-Test | SAGE Companion - Sage Publications
Click here to take the multiple choice maths review.
Chapter 5: Testing for a Difference: Two Conditons | SAGE Companion
Data Analysis for the Social Sciences: Integrating Theory and Practice The simplest way to create a data set with an outlier whose presence or absence does not change the outcome of a t-test can depend on whether the t-test without the outlier is significant or non-significant. If the original test is significant, then
Product | Page 12 | SAGE Publications Ltd
Brief Cognitive Behaviour Therapy. Second Edition. Berni Curwen, Stephen Palmer, Peter Ruddell. Published: January 2018. From £25.99. Inspection copy available · Data Analysis for the Social Sciences. Created with Sketch. Textbook.Data Analysis for the Social Sciences. Integrating Theory and Practice.
Data Analysis for the Social Sciences : Integrating Theory - Target
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