更改

跳到导航 跳到搜索
删除84字节 、 2020年10月27日 (二) 17:11
第154行: 第154行:  
[https://www.erim.eur.nl/centres/necessary-condition-analysis/ Necessary condition analysis] (NCA) may be used when the analyst is trying to determine the extent to which independent variable X allows variable Y (e.g., "To what extent is a certain unemployment rate (X) necessary for a certain inflation rate (Y)?"). Whereas (multiple) regression analysis uses additive logic where each X-variable can produce the outcome and the X's can compensate for each other (they are sufficient but not necessary), necessary condition analysis (NCA) uses necessity logic, where one or more X-variables allow the outcome to exist, but may not produce it (they are necessary but not sufficient). Each single necessary condition must be present and compensation is not possible.
 
[https://www.erim.eur.nl/centres/necessary-condition-analysis/ Necessary condition analysis] (NCA) may be used when the analyst is trying to determine the extent to which independent variable X allows variable Y (e.g., "To what extent is a certain unemployment rate (X) necessary for a certain inflation rate (Y)?"). Whereas (multiple) regression analysis uses additive logic where each X-variable can produce the outcome and the X's can compensate for each other (they are sufficient but not necessary), necessary condition analysis (NCA) uses necessity logic, where one or more X-variables allow the outcome to exist, but may not produce it (they are necessary but not sufficient). Each single necessary condition must be present and compensation is not possible.
   −
当分析师试图确定自变量<math>X</math>在多大程度上允许变量<math>Y</math>的出现时,可以使用 https://www.erim.eur.nl/centres/Necessary-condition-analysis/ '''<font color='#ff8000'>必要条件分析Necessary condition analysis(NCA)</font>'''(例如,“某个失业率(<math>X</math>)在多大程度上对某个通货膨胀率(<math>Y)是必要的? ”)。 (多重)回归分析分析使用'''<font color='#ff8000'>加法逻辑additive logic</font>''',其中每个 <math>X</math> 变量可以产生结果,<math>X</math> 之间可以相互补偿(这些X都是充分的,但不是必要的) ,然而必要条件分析使用'''<font color='#ff8000'>必要逻辑necessity logic</font>''',其中一个或多个<math> X</math> 变量允许结果的存在,但也可能不产生这个结果(它们是必要不充分的关系)。每个单一的必要条件都必须存在,变量之间不允许补偿。
+
当分析师试图确定自变量<math>X</math>在多大程度上允许变量<math>Y</math>的出现时,可以使用 [https://www.erim.eur.nl/centres/Necessary-condition-analysis/ '''必要条件分析Necessary condition analysis(NCA)''' ](例如,“某个失业率(<math>X</math>)在多大程度上对某个通货膨胀率(<math>Y)是必要的? ”)。 (多重)回归分析分析使用'''加法逻辑additive logic''',其中每个 <math>X</math> 变量可以产生结果,<math>X</math> 之间可以相互补偿(这些X都是充分的,但不是必要的) ,然而必要条件分析使用'''必要逻辑necessity logic''',其中一个或多个<math> X</math> 变量允许结果的存在,但也可能不产生这个结果(它们是必要不充分的关系)。每个单一的必要条件都必须存在,变量之间不允许补偿。
    
==Analytical activities of data users 数据用户的分析活动==
 
==Analytical activities of data users 数据用户的分析活动==

导航菜单