THE COMPARISON OF THE DIFFERENT STATISTICAL ANALYSIS RESULTS USED ON THE EVALUATION OF SCALES ON A REAL SAMPLING

Fatih Sezek, Uluhan Kurt
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Abstract

The purpose of this study is to examine the effects of using different statistical analysis methods on the results of questionnaire or scales evaluation in education studies. The scale-survey method was used for data collection. In accordance with this purpose, “Students’ Satisfaction of Physical Space” (SSPS) developed by researchers and measuring their school satisfaction level of students was used. The sample of the study is consisted of 720 students studying in the boarding school in the province of Erzurum. Firstly, the data obtained from the sample were scored and then, both parametric and non-parametric analyzes were performed on the total score and arithmetic mean scores of the test. Evaluating of tests results were statistically compared. Thus, we tried to determine which analysis method was more accurate in the evaluation of the scales.  Accordingly, we were be able to achieve more reliable results. As a result, it was determined that performing statistical analyzes by scoring questionnaires and scales brought different problems. Contrary to the general belief that parametric tests are more reliable than non-parametric tests, it is also shown that the comparison with the chi-square test is one of the most suitable methods in the analysis of categorical datum obtained from the questionnaires. On the other hand, instead of collecting the scores of the different class levels students' answers to each question, it is more convenient to apply the chi-square test to the total frequencies of the answers. In addition, among students of different grades (K5-8), it was determined that there was a statistically significant difference among their satisfaction levels from the physical environment of the school.
比较不同的统计分析结果,对实际抽样的尺度进行评价
本研究旨在探讨不同统计分析方法对教育研究问卷或量表评估结果的影响。数据收集采用量表调查法。为此,本研究采用研究者开发的“学生物理空间满意度”(SSPS)量表来测量学生对学校的满意度。本研究的样本由在埃尔祖鲁姆省寄宿学校学习的720名学生组成。首先对从样本中获得的数据进行评分,然后对测试的总分和算术均分进行参数和非参数分析。对试验结果的评价进行统计学比较。因此,我们试图确定哪种分析方法在评估量表时更准确。因此,我们能够获得更可靠的结果。因此,确定通过问卷和量表评分进行统计分析会带来不同的问题。与一般认为参数检验比非参数检验更可靠的观点相反,与卡方检验的比较是分析问卷分类数据最合适的方法之一。另一方面,与其收集不同班级水平的学生对每个问题的答案的得分,不如对答案的总频率进行卡方检验更方便。此外,在不同年级(K5-8年级)的学生中,我们确定他们对学校物理环境的满意度水平存在统计学上的显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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