本研究的主要目的之一是建立学生对统计焦虑、自我效能感和学业表现的态度之间的关系，并进行相关分析。相关研究是指试图将两个或多个变量联系在一起的研究。然而，研究人员警告说，变量之间的相关性并不一定允许我们声称一个变量的值会导致另一个变量的值的变化(Linden, 1982, p.17)。一个简单的线性回归分析将被计算，以确定哪些变量预测了学生对统计的态度。在此分析中，单个变量取决于或受一个或多个变量的影响。在分析变量之间的关系时，将进行可靠性测试，以估计当前研究中所采用的量表的可靠性。描述性统计将用于显示受访者的人口特征。最后，运用多元回归分析来估计统计焦虑的预测能力和对态度的自我效能感;而对学业成绩的预测能力、自我效能感、统计学焦虑等。
As one of the main aims of this research is to establish weather a relationship exists between students’ attitude towards statistics with respect to statistics anxiety, self-efficacy as well as academic performance, correlational analyses will be conducted. Correlational studies are those in which an attempt is made to relate two or more variables to each other. However, there is a caution by researchers that a correlation between variables does not necessarily allow us to claim that the values of one variable cause changes in the values of another variable (Linden, 1982, p.17). A simple linear regression analysis will be computed in order to determine which variables predicted students’ attitudes towards statistics. In this analysis, a single variable depends on or is influenced by one or more variables. In analysing the relationship between the variables, reliability test will be conducted to estimate the reliability of the scales adopted in the current study. Descriptive statistics will be used to show the demographic characteristics of the respondents. And finally, the multiple regression analyses will be used to estimate the prediction power of statistics anxiety and self-efficacy on attitude; and the prediction power of attitude, self-efficacy, and statistics anxiety on academic achievement.