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You searched for subject:(grouping models). Showing records 1 – 5 of 5 total matches.

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Kennesaw State University

1. Farrant, Aaron. THE EFFECT OF MULTIAGE GROUPING ON THE SELF-ESTEEM OF STUDENTS.

Degree: Doctor of Education in Educational Leadership for Learning Dissertations, Educational Leadership, 2017, Kennesaw State University

  Educators know children need to learn at a level that is appropriately challenging for them. If the material is too difficult, the children will… (more)

Subjects/Keywords: Multiage grouping; self-esteem; ability grouping; grouping models; dyslexia; differentiation; Education

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Farrant, A. (2017). THE EFFECT OF MULTIAGE GROUPING ON THE SELF-ESTEEM OF STUDENTS. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/educleaddoc_etd/8

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Farrant, Aaron. “THE EFFECT OF MULTIAGE GROUPING ON THE SELF-ESTEEM OF STUDENTS.” 2017. Thesis, Kennesaw State University. Accessed January 21, 2019. https://digitalcommons.kennesaw.edu/educleaddoc_etd/8.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Farrant, Aaron. “THE EFFECT OF MULTIAGE GROUPING ON THE SELF-ESTEEM OF STUDENTS.” 2017. Web. 21 Jan 2019.

Vancouver:

Farrant A. THE EFFECT OF MULTIAGE GROUPING ON THE SELF-ESTEEM OF STUDENTS. [Internet] [Thesis]. Kennesaw State University; 2017. [cited 2019 Jan 21]. Available from: https://digitalcommons.kennesaw.edu/educleaddoc_etd/8.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Farrant A. THE EFFECT OF MULTIAGE GROUPING ON THE SELF-ESTEEM OF STUDENTS. [Thesis]. Kennesaw State University; 2017. Available from: https://digitalcommons.kennesaw.edu/educleaddoc_etd/8

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

2. Zhu, Yunzhang. Grouping penalties and its applications to high-dimensional models.

Degree: PhD, Statistics, 2014, University of Minnesota

 Part I: In high-dimensional regression, grouping pursuit and feature selection have their own merits while complementing each other in battling the curse of dimensionality. To… (more)

Subjects/Keywords: Graphical models; Grouping penalty; High-dimensional statistics

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APA (6th Edition):

Zhu, Y. (2014). Grouping penalties and its applications to high-dimensional models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/165147

Chicago Manual of Style (16th Edition):

Zhu, Yunzhang. “Grouping penalties and its applications to high-dimensional models.” 2014. Doctoral Dissertation, University of Minnesota. Accessed January 21, 2019. http://hdl.handle.net/11299/165147.

MLA Handbook (7th Edition):

Zhu, Yunzhang. “Grouping penalties and its applications to high-dimensional models.” 2014. Web. 21 Jan 2019.

Vancouver:

Zhu Y. Grouping penalties and its applications to high-dimensional models. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Jan 21]. Available from: http://hdl.handle.net/11299/165147.

Council of Science Editors:

Zhu Y. Grouping penalties and its applications to high-dimensional models. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/165147


Georgia Tech

3. Dean, Kelley M. The effects of gifted programming on student achievement: differential results by race/ethnicity and income.

Degree: PhD, Public Policy, 2011, Georgia Tech

 The central research question is the extent to which gifted programming effects student academic outcomes of gifted as compared to not-gifted students and how this… (more)

Subjects/Keywords: Propensity score matching; Gifted programs; Student achievement; Growth models; Hierarchical linear models; Education; Ability grouping in education; Track system (Education); Education Demographic aspects

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dean, K. M. (2011). The effects of gifted programming on student achievement: differential results by race/ethnicity and income. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39642

Chicago Manual of Style (16th Edition):

Dean, Kelley M. “The effects of gifted programming on student achievement: differential results by race/ethnicity and income.” 2011. Doctoral Dissertation, Georgia Tech. Accessed January 21, 2019. http://hdl.handle.net/1853/39642.

MLA Handbook (7th Edition):

Dean, Kelley M. “The effects of gifted programming on student achievement: differential results by race/ethnicity and income.” 2011. Web. 21 Jan 2019.

Vancouver:

Dean KM. The effects of gifted programming on student achievement: differential results by race/ethnicity and income. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Jan 21]. Available from: http://hdl.handle.net/1853/39642.

Council of Science Editors:

Dean KM. The effects of gifted programming on student achievement: differential results by race/ethnicity and income. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39642

4. Dean, Kelley M. The Effects of Gifted Programming on Student Achievement: Differential Results by Race/Ethnicity and Income.

Degree: PhD, Public Management and Policy, 2011, Georgia State University

  The central research question is the extent to which gifted programming affects student academic outcomes of gifted as compared to not-gifted students and how… (more)

Subjects/Keywords: Propensity score matching; Gifted programs; Student achievement; Growth models; Ability grouping in education; Education Demographic aspects

…address this through the use of school characteristics within hierarchical linear models that… …including the basis for the final hierarchical linear math and reading models. The matched samples… …descriptive results, and findings of the hierarchical linear models detailing effects of gifted… …perceived ability, mixed grouping could result in leadership development of “high ability… …x29;. Several studies examine potential differences in learning based on the grouping of… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dean, K. M. (2011). The Effects of Gifted Programming on Student Achievement: Differential Results by Race/Ethnicity and Income. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/pmap_diss/33

Chicago Manual of Style (16th Edition):

Dean, Kelley M. “The Effects of Gifted Programming on Student Achievement: Differential Results by Race/Ethnicity and Income.” 2011. Doctoral Dissertation, Georgia State University. Accessed January 21, 2019. https://scholarworks.gsu.edu/pmap_diss/33.

MLA Handbook (7th Edition):

Dean, Kelley M. “The Effects of Gifted Programming on Student Achievement: Differential Results by Race/Ethnicity and Income.” 2011. Web. 21 Jan 2019.

Vancouver:

Dean KM. The Effects of Gifted Programming on Student Achievement: Differential Results by Race/Ethnicity and Income. [Internet] [Doctoral dissertation]. Georgia State University; 2011. [cited 2019 Jan 21]. Available from: https://scholarworks.gsu.edu/pmap_diss/33.

Council of Science Editors:

Dean KM. The Effects of Gifted Programming on Student Achievement: Differential Results by Race/Ethnicity and Income. [Doctoral Dissertation]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/pmap_diss/33


Georgia Tech

5. Shell, Michael David. Cascaded All-Optical Shared-Memory Architecture Packet Switches Using Channel Grouping Under Bursty Traffic.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 This work develops an exact logical operation model to predict the performance of the all-optical shared-memory architecture (OSMA) class of packet switches and provides a… (more)

Subjects/Keywords: Packet switching; Optical buffering; Networks; Markov models; Channel grouping; Bursty traffic; Banyan networks; Asymmetric; Analytical modeling; All-optical networks; Shared-memory switches; Optical data processing; Packet switching (Data transmission) Mathematical models; Computer networks; Markov processes; Optical communications

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shell, M. D. (2004). Cascaded All-Optical Shared-Memory Architecture Packet Switches Using Channel Grouping Under Bursty Traffic. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/4892

Chicago Manual of Style (16th Edition):

Shell, Michael David. “Cascaded All-Optical Shared-Memory Architecture Packet Switches Using Channel Grouping Under Bursty Traffic.” 2004. Doctoral Dissertation, Georgia Tech. Accessed January 21, 2019. http://hdl.handle.net/1853/4892.

MLA Handbook (7th Edition):

Shell, Michael David. “Cascaded All-Optical Shared-Memory Architecture Packet Switches Using Channel Grouping Under Bursty Traffic.” 2004. Web. 21 Jan 2019.

Vancouver:

Shell MD. Cascaded All-Optical Shared-Memory Architecture Packet Switches Using Channel Grouping Under Bursty Traffic. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Jan 21]. Available from: http://hdl.handle.net/1853/4892.

Council of Science Editors:

Shell MD. Cascaded All-Optical Shared-Memory Architecture Packet Switches Using Channel Grouping Under Bursty Traffic. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/4892

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