{
"item_title" : "Data Quality in Longitudinal Research",
"item_author" : [" David Magnusson", "Lars R. Bergman "],
"item_description" : "This overview of the central issues of data quality in longitudinal research focuses on data relevant for studying individual development. The topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method. More specific, practical issues in longitudinal research, such as the drop-out problem and issues of confidentiality are also addressed. The volume is the result of an interdisciplinary endeavor by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/52/138/091/052138091X_b.jpg",
"price_data" : {
"retail_price" : "114.00", "online_price" : "114.00", "our_price" : "114.00", "club_price" : "114.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Overview
This overview of the central issues of data quality in longitudinal research focuses on data relevant for studying individual development. The topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method. More specific, practical issues in longitudinal research, such as the drop-out problem and issues of confidentiality are also addressed. The volume is the result of an interdisciplinary endeavor by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780521380911
- ISBN-10: 052138091X
- Publisher: Cambridge University Press
- Publish Date: May 1990
- Dimensions: 8.7 x 5.8 x 0.9 inches
- Shipping Weight: 1.35 pounds
- Page Count: 298
Related Categories
