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Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.
This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.
The metadata below describe the original scanning. Follow the "All Files: HTTP" link in the "View the book" box to the left to find XML files that contain more metadata about the original images and the derived formats (OCR results, PDF etc.).
Cross-sectional research is a research method often used in developmental psychology, but also utilized in many other areas including social science and education. This type of study utilizes different groups of people who differ in the variable of interest, but share other characteristics such as socioeconomic status, educational background ...
Evince allows the selection of text in PDF files and allows users to highlight and copy text from documents made from scanned images, if the PDF includes OCR data. Evince used to obey the DRM restrictions of PDF files, which may prevent copying, printing, or converting some PDF files, however this has been made optional, and turned off by ...
CAQDAS is used in psychology, marketing research, ethnography, public health and other social sciences. The CAQDAS networking project lists the following tools a CAQDAS [2] program should have: Content searching tools; Code grouping tools [3] Linking tools; Mapping or networking tools; Query tools; Alternative visual representation tools
The information retrieval community has emphasized the use of test collections and benchmark tasks to measure topical relevance, starting with the Cranfield Experiments of the early 1960s and culminating in the TREC evaluations that continue to this day as the main evaluation framework for information retrieval research.
NVivo is intended to help users organize and analyze non-numerical or unstructured data.Its developers state that it helps qualitative researchers to organize, analyze and find insights in unstructured or qualitative data like interviews, open-ended survey responses, journal articles, social media and web content, where deep levels of analysis on small or large volumes of data are required.