【摘要】 在SPSS中,只要输入数据,选定任意的一个过程,在输出窗中就一定有相应的输出结果;但这并不代表我们正确使用了统计方法,以及得到了正确的统计结果。通过对已知级别的(一级和健将级)53名标枪运动员的6项运动能力指标的实测数据构建已知类别函数的实际过程(建立Fisher判别函数及逻辑回归),说明在SPSS中进行数据分析时是有要求的,即如何确定选用何种统计模型的一般步骤,以及究竟选择何种选项。明确在SPSS中进行数据分析的关键是统计模型的正确选择而不是SPSS的运算结果。要谨防SPSS使用过程中由于同一程序块中方法的多样性所带来的各种潜在风险。在其他统计方法的使用过程中也同样存在类似的误用风险。更多还原

【Abstract】 In SPSS,as long as data is input and a process is selected,there must be a corresponding result in the output window.But neither does it mean the statistical methods are correctly selected nor the result is correct.We can illustrate that there are some demands in SPSS data analysis through an actual process of building up a model function of known categories based on the data of six performance indicators measured for 53javelin thrower(level one and athlete),that is how to ensure the general steps of the selection of statistics model and options.It is emphasized that selection of appropriate statistics models is the key for data analysis in SPSS,rather than the computation output of the operation of SPSS.There are potentialities of misusage of statistics model due to the variety of methods in the same block of SPSS.This is common for all statistics software applications.更多还原