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Attitude toward Statistic in College Students (An Empirical Study in Public University)

机译:大学生对统计的态度(公立大学的实证研究)

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This study aims to measure student’s attitude towards statistics through a model that considers the variables proposed by Auzmendi (1992). Was examined whether the constructs: usefulness, motivation, likeness, confidence and anxiety influence the student's attitude towards statistics. Were surveyed face to face 328 students at the Universidad Politécnica de Aguascalientes using the questionnaire proposed by Auzmendi. The statistical procedure used was factorial analysis with an extracted principal component. The Statistics Hypothesis: Ho: ρ = 0 has no correlation, while Ha: ρ ≠ 0 does. Statistics test to prove: Χ2, Bartlett?s test of sphericity, KMO (Kaiser-Meyer_Olkin) Significance level: α = 0.05; p < 0.01 The results obtained from the sphericity test of Bartlett KMO (0.592), Chi square X2 390.552 df 10, Sig. 0.00 < p 0.01, MSA (Usefulness 0.656, Motivation 0.552, Likeness 0.705, Confidence 0.633 and Anxiety 0.507). With all this we obtained significant evidence in order to reject Ho. Finally we obtained two factors that explain attitude toward statistic in college students: One of them is composed by three elements: Confidence (.852), Likeness (.818) and Usefulness (.768) and the other is composed by two elements: Anxiety (.837) and Motivation (.800). Their explanatory power for each factor is expressed by their Eigenvalue: 2.170 and 1.383 (with % variance 43.39 and 27.67 respectively, Total variance explained 71.05%).
机译:这项研究旨在通过考虑Auzmendi(1992)提出的变量的模型来衡量学生对统计的态度。被检查的结构是否有用:动机,相似性,自信心和焦虑会影响学生对统计学的态度。使用Auzmendi提出的问卷调查法对阿瓜斯卡连特斯大学328名学生进行了面对面的调查。所使用的统计程序是析出的主成分进行因子分析。统计假设:Ho:ρ= 0没有相关性,而Ha:ρ≠0有相关性。统计检验证明:Χ2,巴特利特球形度检验,KMO(Kaiser-Meyer_Olkin)显着性水平:α= 0.05; p <0.01从Bartlett KMO(0.592),卡方X2 390.552 df 10,Sig的球形度测试获得的结果。 0.00 0.01,MSA(有用度0.656,动机0.552,相似度0.705,置信度0.633和焦虑度0.507)。通过所有这些,我们获得了重要的证据来拒绝Ho。最后,我们获得了两个解释大学生对统计的态度的因素:一个因素由三个因素组成:信心(.852),相似度(.818)和有用性(.768),另一个因素则由两个因素组成:焦虑(.837)和动机(.800)。它们对每个因子的解释能力由其特征值表示:2.170和1.383(方差百分比分别为43.39和27.67,总方差解释为71.05%)。

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