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Validation of a Screening Model for Referrals to Support Students with Hidden Disabilities in Higher Education

机译:高等教育隐性学生转介筛查模型的验证

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style="text-align:justify;"> style="font-size:12px;">This study describes validation of a screening model for Referrals to Support with Hidden Disabilities in Higher Education. A screening model describes the screening procedures implemented by HEIs in all 8 public universities in Bosnia and Herzegovina. In the study, 5073 bachelor students were participated. There were 1371 (27%) male and 3702 (73%) female participants. In this research, the questionnaire for students in higher education was used. In order to validate the screening model, a multivariate method of exploratory factor analysis was applied. The intercorrelation of manifest variables was calculated, and on the basis of the obtained coefficients, the variables were selected for further analysis. The variables were subjected by calculating the coefficient of the inner consistency of the Cronbach alpha, and an estimate of the reliability of the variables was made by calculating the interstellar statistics. On the basis of the obtained results of factor analysis, a set of 28 manifest variables have been reduced to 15 variables that have satisfactory reliability and internal agreement, and it is justifiable to use them as a screening model. Findings support the requirement for a reliable and valid standardized assessment procedure for HEIs, which would provide equitable access to an initial diagnosis.
机译:style =“ text-align:justify;”> style =“ font-size:12px;”>本研究描述了对高等教育隐性支持者推荐筛查模型的验证。筛选模型描述了由高校在波斯尼亚和黑塞哥维那的所有8所公立大学中实施的筛选程序。在研究中,参加了5073个学士学位学生。男性1137(27%),女性3702(73%)。在这项研究中,使用了针对高等教育学生的问卷。为了验证筛选模型,采用了探索性因素分析的多元方法。计算清单变量的相互关系,并根据获得的系数选择变量以进行进一步分析。通过计算Cronbach alpha的内部一致性系数对变量进行处理,并通过计算星际统计量对变量的可靠性进行估算。根据获得的因子分析结果,一组28个清单变量已减少为15个具有令人满意的可靠性和内部一致性的变量,因此有理由将其用作筛选模型是合理的。研究结果支持对HEI进行可靠且有效的标准化评估程序的要求,这将为公平地获得初始诊断提供依据。

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