In this much-anticipated revision of Pollock's popular SPSS workbook, students dive headfirst into actual political data and work with a software tool that prepares them for future political science research. Students learn by doing with guided examples, more than 120 screenshots, and step-bystep instructions.
In this much-anticipated revision of Pollock's popular SPSS workbook, students dive headfirst into actual political data and work with a software tool that prepares them for future political science research.
Now updated for SPSS Statistics Version 18, DOING DATA ANALYSIS WITH SPSS is an excellent supplement to any introductory statistics course. It provides a practical and useful introduction to SPSS and enables students to work independently to learn helpful software skills outside of class. By using SPSS to handle complex computations, students can focus on and gain an understanding of the underlying statistical concepts and techniques in the introductory statistics course. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Majority of applied research need a statistical analysis. In this book, the advanced analysis using SPSS software will be introduced in order to help students or researchers in performing the advanced analysis for their bachelor's degree or a higher degree research project. This book also can be used as a guideline in running the statistical tests using statistical analysis tools.
This book also can be used as a guideline in running the statistical tests using statistical analysis tools.
"""Anda yang pernah di dunia perguruan tinggi, mungkin tidak asing dengan istilah Path Analysis? Rumus terkenal yang ditemukan oleh seorang ahli biologi bernama Sewal Wright ini sudah menjadi satu rumus yang sering digunakan dalam riset mahasiswa untuk skripsi, tesis maupun disertai sebagai rumus alternatif yang dapat mengakomodasi riset yang menggunakan variabel lebih dari dua dengan pola hubungan yang kompleks. Kemampuan untuk mengurai korelasi menjadi pengaruh langsung, tidak langsung, total, gabungan dan parsial serta mengidentifikasi error menjadikan rumus ini sangat efektif dan akurat. Agar pembaca dapat menggunakan rumus ini secara benar maka buku ini disajikan secara berurutan mulai dari sejarah sampai dengan aplikasi penggunaannya. Dalam buku ini Anda akan mempelajari hal-hal penting diantaranya: 1. Sejarah penemuan Path Analysis. 2. Istilah-istilah dasar. 3. Pengertian dan tujuan menggunakan Path Analysis. 4. Path Analysis dalam konteks teknik analisis multivariat. 5. Asumsi-asumsi dan prinsip-prinsip dasar. 6. Persyaratan dan tahapan dalam menggunakan Path Analysis. 7. Proses keputusan untuk menggunakan Path Analysis. 8. Model-model dalam Path Analysis. 9. Aplikasi Path Analysis model regresi berganda. 10. Aplikasi Path Analysis model mediasi melalui variabel perantara. 11. Aplikasi Path Analysis model kombinasi dari model regresi berganda dan model mediasi. 12. Aplikasi Path Analysis model kompleks. 13. Perbedaan antara Path Analysis dengan Regresi Linier Berganda dan Structural Equation Modelling (SEM). 14. Mengubah data non-metrik ke data metrik dengan Method of Successive Interval (MSI). 15. Latihan."""
"""Anda yang pernah di dunia perguruan tinggi, mungkin tidak asing dengan istilah Path Analysis?
This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: Non-parametric tests Correlation Simple and multiple regression Analysis of variance and covariance Factor analysis. This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms. The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http://www.routledgetextbooks.com/textbooks/_author/bryman-9780415579193/; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available free of charge to lecturers who adopt the book.
This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16.
The OECD Programme for International Student Assessment (PISA) surveys collected data on students’ performances in reading, mathematics and science, as well as contextual information on students’ background, home characteristics and school factors ...
The chapters in the manual are expanded to cover various analytical issues in PISA in general, while applying examples from all available PISA surveys – PISA 2000, PISA 2003 and PISA 2006.
