University and student segmentation: multilevel latent-class analysis of students' attitudes towards research methods and statistics.
University and student segmentation: multilevel latent-class analysis of students' attitudes towards research methods and statistics.
复制标题
大学和学生细分：学生对研究方法和统计的态度的多级潜在类别分析。
DOI：
10.1111/j.2044-8279.2011.02062.x
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Hans
中科院分区：
文献类型：
--
作者：
Rüdiger Mutz;Hans
背景
心理学学生对研究方法和统计数据的态度影响课程的入学率、坚持性、成绩和课程气氛。然而，在关于学生对研究方法和统计数据的态度的研究中，机构间的差异被广泛忽视，但它对教学目的很重要（学生群体的异质性）。
旨在
本文提出了一个规模的基础上的社会心理学的态度（极性和情感为基础的概念）的研究结果，结合方法捕捉开始大学生的态度，研究方法和统计数据，并确定学生的比例具有积极的态度，在制度层面。
样品
该研究基于对2000年8月在德国进行的一项全国性调查的重新分析，调查对象是1999/2000年秋季入学的所有心理学学生（N= 1,490）和N= 44所大学。
方法
使用多层次潜在类分析（MLLCA），其目的是分组学生在不同的学生态度类型，并在同一时间获得大学段的基础上发生的不同学生的态度类型。
结果
四个学生潜在的集群被发现，可以在两极态度维度排名。聚类中的成员资格是由年龄、离校考试平均成绩（GPA）和个性特征预测的。此外，还发现了两个大学部分：持积极态度的学生比例平均的大学和持积极态度的学生比例高的大学（优秀部分）。
结论
由于心理学学生组成了一个非常异质的群体，需要使用多种学习活动，而不是经典的讲座课程。
BACKGROUND
It is often claimed that psychology students' attitudes towards research methods and statistics affect course enrollment, persistence, achievement, and course climate. However, the inter-institutional variability has been widely neglected in the research on students' attitudes towards research methods and statistics, but it is important for didactic purposes (heterogeneity of the student population).
AIMS
The paper presents a scale based on findings of the social psychology of attitudes (polar and emotion-based concept) in conjunction with a method for capturing beginning university students' attitudes towards research methods and statistics and identifying the proportion of students having positive attitudes at the institutional level.
SAMPLE
The study based on a re-analysis of a nationwide survey in Germany in August 2000 of all psychology students that enrolled in fall 1999/2000 (N= 1,490) and N= 44 universities.
METHODS
Using multilevel latent-class analysis (MLLCA), the aim was to group students in different student attitude types and at the same time to obtain university segments based on the incidences of the different student attitude types.
RESULTS
Four student latent clusters were found that can be ranked on a bipolar attitude dimension. Membership in a cluster was predicted by age, grade point average (GPA) on school-leaving exam, and personality traits. In addition, two university segments were found: universities with an average proportion of students with positive attitudes and universities with a high proportion of students with positive attitudes (excellent segment).
CONCLUSIONS
As psychology students make up a very heterogeneous group, the use of multiple learning activities as opposed to the classical lecture course is required.
DOI：
--
发表时间：
2007
期刊：
--
影响因子：
--
作者：
E. E. Noftle-E.;R. Robins
通讯作者：
E. E. Noftle-E.;R. Robins
利用研究生对研究经验的评估来衡量院系和院系：问题和挑战。
DOI：
10.1348/978185408x394347
发表时间：
2009
期刊：
The British journal of educational psychology
影响因子：
--
作者：
Ginns P
通讯作者：
Ginns P