The aim of this study is to assess information on voice quality features and to ascertain the variability of these features in specified groups. Groups were created based on gender and status of vocal training, in order to study the influence of these grouping variables on selected voice quality features. Gender was chosen as a grouping variable, because previous investigations clearly demonstrated differences in voice quality characteristics between men and women. These differences have implications for the creation of a normative database, concerning its proposed function as a frame of reference. Vocal training was intentionally introduced to give direction to what might be regarded as good vocal characteristics, as compared to characteristics of subjects without vocal training. Characteristics of the vocal apparatus and voice quality features can be acquired in many ways. Four practicable methods, easily employed in a clinical environment and extensively outlining the vocal apparatus and voice function, are used in this study. Results of these investigations are described in the following chapters.
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Among other things, learning to write entails learning how to use complex sentences effectively in discourse. Some research has therefore focused on relating measures of syntactic complexity to text quality. Apart from the fact that the existing research on this topic appears inconclusive, most of it has been conducted in English L1 contexts. This is potentially problematic, since relevant syntactic indices may not be the same across languages. The current study is the first to explore which syntactic features predict text quality in Dutch secondary school students’ argumentative writing. In order to do so, the quality of 125 argumentative essays written by students was rated and the syntactic features of the texts were analyzed. A multilevel regression analysis was then used to investigate which features contribute to text quality. The resulting model (explaining 14.5% of the variance in text quality) shows that the relative number of finite clauses and the ratio between the number of relative clauses and the number of finite clauses positively predict text quality. Discrepancies between our findings and those of previous studies indicate that the relations between syntactic features and text quality may vary based on factors such as language and genre. Additional (cross-linguistic) research is needed to gain a more complete understanding of the relationships between syntactic constructions and text quality and the potential moderating role of language and genre.
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This paper presents the search for a categorizing framework that can be used to identify and discuss teacher quality. Both policy documents on national and European levels and academic literature show a remarkable variation in categories that are used to describe teacher education. As part of a larger study where the voice of teachers is used en strengthened on the topic of teacher education, there was the need to find a categorizing framework that can be used to analyze responses from teachers on the most important qualities that teachers need.The search for a categorizing framework combines a study of academic literature on categories for teacher quality and the use of international focus groups for the development of categories for teacher qualities. Both the outcomes from the literature survey and the results from the focus groups show the complexity of defining a coherent framework for teacher qualities. Two main approaches can be identified: one by using an analytical framework with mutual exclusive categories, based on Bloom’s categories, and one based on a task analysis of the work of teachers, focusing on specific roles or identities. In both approaches, both the literature and the focus groups emphasize the importance of personal qualities of teachers.Based on the outcomes a coherent framework for teacher qualities is presented, where both approaches are combined. This framework that might help in creating a shared language for discussing teacher quality among different stakeholders and different countries.
MULTIFILE