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Pub Date: |
2013-00-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Curriculum Based Assessment; High Stakes Tests; Reading Achievement; Achievement Tests; Reading Tests; Reading Fluency; Middle School Students; Grade 7; Correlation; Scores
Abstract:
The purpose of this study was to investigate the relationship between oral reading fluency and performance on a statewide reading achievement test for middle grades students. Participants in this study were 75 seventh grade students. One month before the students were administered the state test, each student read three probes from their current basal reader to determine an oral reading fluency rate. The Ohio Grade 7 Reading Test scores were correlated with oral reading fluency rates to determine the extent of the relationship between the results. Results support the use of oral reading fluency assessment as a valid tool for identifying students at risk of not passing the statewide reading achievement test. (Contains 1 figure and 3 tables.)
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Pub Date: |
2013-04-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Measurement; Achievement Tests; Genetics; Word Recognition; Reading Comprehension; Phonological Awareness; Environmental Influences; Handwriting; Error of Measurement; Language Skills; Reading Skills; Correlation; Statistical Analysis; Writing Skills; Twins; Duplication; Reading Writing Relationship; Writing Tests
Abstract:
Identical and fraternal twins (N = 540, age 8 to 18 years) were tested on three different measures of writing (Woodcock-Johnson III Tests of Achievement--Writing Samples and Writing Fluency; Handwriting Copy from the Group Diagnostic Reading and Aptitude Achievement Tests), three different language skills (phonological awareness, rapid naming, and vocabulary), and three different reading skills (word recognition, spelling, and reading comprehension). Substantial genetic influence was found on two of the writing measures, writing samples and handwriting copy, and all of the language and reading measures. Shared environment influences were generally not significant, except for Vocabulary. Non-shared environment estimates, including measurement error, were significant for all variables. Genetic influences among the writing measures were significantly correlated (highest between the speeded measures writing fluency and handwriting copy), but there were also significant independent genetic influences between copy and samples and between fluency and samples. Genetic influences on writing were significantly correlated with genetic influences on all of the language and reading skills, but significant independent genetic influences were also found for copy and samples, whose genetic correlations were significantly less than 1.0 with the reading and language skills. The genetic correlations varied significantly in strength depending on the overlap between the writing, language, and reading task demands. We discuss implications of our results for education, limitations of the study, and new directions for research on writing and its relations to language and reading.
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Pub Date: |
2013-00-00 |
Pub Type(s): |
Journal Articles; Reports - Research; Tests/Questionnaires |
Peer Reviewed: |
Yes |
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Descriptors:
Academic Achievement; Achievement Tests; Students; Anxiety; Classroom Environment; Scientific Concepts; Constructivism (Learning); Grade 10; Well Being; Interests; Secondary School Students; Experiments; Genetics; Correlation; Scores; Science Education; Foreign Countries
Abstract:
We examined selected situational emotions (interest, well-being and anxiety) experienced by 291 secondary school tenth graders during a hands-on gene technology lesson. Two different instruction groups (I-1, I-2) participated in the same teaching unit, in which four basic gene technology experiments were performed. Using a modified "constructivist teaching sequence", a teacher confronted group I-2 with the alternative conceptions of their peers regarding central issues and processes of gene technology in addition to providing the scientific concepts. The pupils within the I-2 group scored higher in the positive emotions of interest and well-being. The negative emotion anxiety was almost absent in both instruction groups. Furthermore, our results indicate a potential influence of interest and well-being upon learning success. Pupils who felt fine and worked with interest in the experimental lessons scored significantly higher on the cognitive achievement test. Eliciting pupils' alternative conceptions and using them in a wide variety of teaching contents is therefore advisable. By doing so, teachers could help create a classroom environment where pupils feel safe and confident. Also, a pupil's interest regarding the choice of material needs to be taken into account if positive emotions need strengthening and the learning achievement needs improvement. (Contains 4 tables and 2 figures.)
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Pub Date: |
2013-00-00 |
Pub Type(s): |
Journal Articles; Reports - Research; Tests/Questionnaires |
Peer Reviewed: |
Yes |
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Descriptors:
Academic Achievement; Achievement Tests; Elementary School Students; Numeracy; Foreign Countries; Child Health; Lighting; Educational History; Socioeconomic Status; Literacy; Developing Nations; Educational Attainment; Low Achievement; Nutrition; Attendance; Childrens Literature; Family Environment; Educational Policy
Abstract:
One of the eight Millennium Development Goals is that all children in developing countries should complete primary education. Much progress has been made toward this goal, but completing primary school does not ensure that students attain basic literacy and numeracy skills. Indeed, there is ample evidence that many children in developing countries are not learning these basic skills. This raises the question: What can schools and communities do to increase the learning that takes place in schools? Sri Lanka exemplifies these issues. It has achieved universal primary completion, but many Sri Lankan primary school students perform poorly on academic tests. This paper uses unusually rich data from Sri Lanka to investigate the determinants of academic performance, as measured by achievement tests, of Grade 4 students. At the child and household level, educated parents, better nutrition, high daily attendance, enrollment in private tutoring classes, exercise books, electric lighting, and children's books at home all appear to increase learning, while hearing problems have a strong negative effect. Among school variables, principals' and teachers' years of experience, collaborating with other schools in a "school family," and meetings between parents and teachers all appear to have positive impacts on students' scores. Estimates that exclude some of the variables available in the unusually rich data yield different results, which suggests that results based on less complete data are likely to suffer from omitted variable bias. A final section provides recommendations for education policies in Sri Lanka. (Contains 10 tables and 21 notes.)
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Pub Date: |
2013-01-00 |
Pub Type(s): |
Journal Articles; Reports - Research |
Peer Reviewed: |
Yes |
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Descriptors:
Mathematics Achievement; Achievement Tests; Item Response Theory; Measurement; Educational Diagnosis; Diagnostic Tests; Educational Testing; Psychometrics; Test Items; Simulation; Measurement Techniques; Comparative Analysis; Data Analysis
Abstract:
This paper presents a noncompensatory latent trait model, the multicomponent latent trait model for diagnosis (MLTM-D), for cognitive diagnosis. In MLTM-D, a hierarchical relationship between components and attributes is specified to be applicable to permit diagnosis at two levels. MLTM-D is a generalization of the multicomponent latent trait model (MLTM; Whitely in "Psychometrika," 45:479-494, 1980; Embretson in "Psychometrika," 49:175-186, 1984) to be applicable to measures of broad traits, such as achievement tests, in which component structure varies "between" items. Conditions for model identification are described and marginal maximum likelihood estimators are presented, along with simulation data to demonstrate parameter recovery. To illustrate how MLTM-D can be used for diagnosis, an application to a large-scale test of mathematics achievement is presented. An advantage of MLTM-D for diagnosis is that it may be more applicable to large-scale assessments with more heterogeneous items than are latent class models.
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