| 翻訳と辞書 |
| Bivariate analysis ： ウィキペディア英語版 |
Bivariate analysis
Bivariate analysis is one of the simplest forms of quantitative (statistical) analysis.〔Earl R. Babbie, ''The Practice of Social Research'', 12th edition, Wadsworth Publishing, 2009, ISBN 0-495-59841-0, pp. 436–440〕 It involves the analysis of two variables (often denoted as ''X'', ''Y''), for the purpose of determining the empirical relationship between them.〔
Bivariate analysis can be helpful in testing simple hypotheses of association, however, by itself, it cannot determine causality. Bivariate analysis can help determine to what extent it becomes easier to know and predict a value for one variable (possibly a dependent variable) if we know the value of the other variable (possibly the independent variable) (see also correlation and simple linear regression).〔 (Bivariate Analysis ), Sociology Index>〕
Bivariate analysis can be contrasted with univariate analysis in which only one variable is analysed.〔 Like univariate analysis, bivariate analysis can be descriptive or inferential. It is the analysis of the relationship between the two variables.〔 Bivariate analysis is a simple (two variable) special case of multivariate analysis (where multiple relations between multiple variables are examined simultaneously).〔
==Types of bivariate analysis==
Common forms of bivariate analysis involve creating a percentage table or a scatterplot graph and computing a simple correlation coefficient 〔 or simple linear regression. The types of analysis that are suited to particular pairs of variables vary in accordance with the level of measurement of the variables of interest (e.g. nominal/categorical, ordinal, interval/ratio) and on whether one variable can be regarded as dependent on the other.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
■ウィキペディアで「Bivariate analysis」の詳細全文を読む
スポンサード リンク
| 翻訳と辞書 : 翻訳のためのインターネットリソース |
Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.
|
|