کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2653006 1564048 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Publishing Nutrition Research: A Review of Multivariate Techniques—Part 3: Data Reduction Methods
ترجمه فارسی عنوان
انتشارات پژوهش تغذیه: بررسی تکنیک های چندمتغیره - قسمت 3: روش های کاهش اطلاعات
کلمات کلیدی
تجزیه و تحلیل مولفه اصلی؛ تجزیه و تحلیل فاکتور؛ کاهش رتبه رگرسیون؛ آنالیز خوشه ای؛ مقدار خاص
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
چکیده انگلیسی

This is the ninth in a series of monographs on research design and analysis, and the third in a set of these monographs devoted to multivariate methods. The purpose of this article is to provide an overview of data reduction methods, including principal components analysis, factor analysis, reduced rank regression, and cluster analysis. In the field of nutrition, data reduction methods can be used for three general purposes: for descriptive analysis in which large sets of variables are efficiently summarized, to create variables to be used in subsequent analysis and hypothesis testing, and in questionnaire development. The article describes the situations in which these data reduction methods can be most useful, briefly describes how the underlying statistical analyses are performed, and summarizes how the results of these data reduction methods should be interpreted.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Academy of Nutrition and Dietetics - Volume 115, Issue 7, July 2015, Pages 1072–1082
نویسندگان
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