Software Carpentry lesson that teaches how to use databases and SQL In …
Software Carpentry lesson that teaches how to use databases and SQL In the late 1920s and early 1930s, William Dyer, Frank Pabodie, and Valentina Roerich led expeditions to the Pole of Inaccessibility in the South Pacific, and then onward to Antarctica. Two years ago, their expeditions were found in a storage locker at Miskatonic University. We have scanned and OCR the data they contain, and we now want to store that information in a way that will make search and analysis easy. Three common options for storage are text files, spreadsheets, and databases. Text files are easiest to create, and work well with version control, but then we would have to build search and analysis tools ourselves. Spreadsheets are good for doing simple analyses, but they don’t handle large or complex data sets well. Databases, however, include powerful tools for search and analysis, and can handle large, complex data sets. These lessons will show how to use a database to explore the expeditions’ data.
This book is intended for those who want to learn the basics …
This book is intended for those who want to learn the basics of SPSS. It can be used as a text in a class or by those working independently. Each chapter has instructions that guide you through a series of problems, as well as graphics showing you what your screen should look like at various steps in the process. There are also exercises at the end of each chapter for further practice and more exercises and teaching modules are on the Teaching Resources page of the Social Science Research and Instructional Center (SSRIC) website.
Third Edition Word Count: 196848 (Note: This resource's metadata has been created …
Third Edition
Word Count: 196848
(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)
We present a consensus-based checklist to improve and document the transparency of …
We present a consensus-based checklist to improve and document the transparency of research reports in social and behavioural research. An accompanying online application allows users to complete the form and generate a report that they can submit with their manuscript or post to a public repository.
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