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Carpenter, Serena; Makhadmeh, Naheda; Thornton, Leslie-Jean – Communication Education, 2015
A mentor can be of great importance to doctoral student success and progress. While many have studied student perceptions of the process, research regarding how doctoral faculty mentors interpret and enact mentoring practices is less evident. To address this empirical gap, a doctoral student mentor functions measure was created. The measure is…
Descriptors: Mentors, Doctoral Programs, Graduate Students, Surveys
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Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
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Harraway, John; Broughton-Ansin, Freya; Deaker, Lynley; Jowett, Tim; Shephard, Kerry – Journal of Environmental Education, 2012
Higher education institutions are interested in the impact that they and concurrent life experiences may have on students' sustainability attitudes, but they lack formal processes to monitor changes. We used the NEP to monitor changes in students' ecological-worldviews. We were interested in what variation there would be in a multidisciplinary…
Descriptors: Student Attitudes, Research Methodology, Evaluation Methods, Conservation (Environment)
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Page, Kelly L.; Reynolds, Nina – Studies in Higher Education, 2015
There is a growing need to design learning experiences in higher education that develop collaborative and mediated social writing practices. A wiki way of learning addresses these needs. This paper reports findings from a case study involving 58 postgraduate students who in small groups participated over eight weeks in a mediated collaborative…
Descriptors: Foreign Countries, Graduate Students, Research Universities, Cooperative Learning
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Ning, Mair; Murphy, Philip; Jinks, Annette Mary – Journal of Further and Higher Education, 2010
The evidence-based practice agenda in many healthcare professions has increased the importance of teaching research skills to students in these professions. However, concern exists that many healthcare educators may be reluctant to teach research. This study investigated potential barriers to their adoption of this role. A questionnaire was…
Descriptors: Research Methodology, Likert Scales, Measures (Individuals), Factor Analysis
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Nagy, Gabriel; Trautwein, Ulrich; Ludtke, Oliver – Journal of Vocational Behavior, 2010
The cross-cultural generalizability of vocational interest structures has received significant attention in recent years. This article adds to this research in four respects. First, data from a context that has not previously been investigated (Germany) was analyzed. Second, students at different stages of their educational career were examined.…
Descriptors: Vocational Interests, Factor Analysis, Foreign Countries, Hypothesis Testing
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Steinmayr, Ricarda; Beauducel, Andre; Spinath, Birgit – Intelligence, 2010
Recently, different methodological approaches have been discussed as an explanation for inconsistencies in studies investigating sex differences in different intelligences. The present study investigates sex differences in manifest sum scores, factor score estimates, and latent verbal, numerical, figural intelligence, as well as fluid and…
Descriptors: Intelligence, Intelligence Tests, Factor Analysis, Effect Size
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Asparouhov, Tihomir; Muthen, Bengt – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by deriving the direct Quartimin rotation. Jennrich was also the first to develop standard errors for rotated solutions, although these have still not made…
Descriptors: Structural Equation Models, Testing, Factor Analysis, Research Methodology
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Hvenegaard, Glen – International Research in Geographical and Environmental Education, 2007
Universities often lack a detailed understanding of the environmental backgrounds of their students. One way to improve understanding is through segmentation, which breaks down a population into groups of people with similar characteristics. This study aims to use segmentation to determine groups within the student population, based on…
Descriptors: Undergraduate Students, Student Attitudes, Factor Analysis, Information Sources
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Sit, Cindy H. P.; Lindner, Koenraad J. – British Journal of Educational Psychology, 2006
Background: Reversal theory (Apter, 1982, 1989, ) is one of the motivational frameworks which attempts to examine human subjective experiences and behaviours. There are four dyads of metamotivational states (telic-paratelic, conformist-negativistic, autic-alloic, and mastery-sympathy) and individuals may prefer to be in one rather than the other…
Descriptors: Secondary School Students, Physical Activities, Factor Analysis, Student Motivation
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Bogner, Franz X.; Wiseman, Michael – European Journal of Psychology of Education, 2002
This paper describes, by focusing on factor analytic structures, pupils' reactions towards the utilisation and preservation of nature. A previously hypothesised model based on these two domains (comprised of 5 primary factors) was shown to be valid for four different Western European pupil samples: CH, D, DK, IRL. The empirical basis of this…
Descriptors: Factor Structure, Questionnaires, Factor Analysis, Rural Areas
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection