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You searched for subject:(Listwise Deletion). Showing records 1 – 6 of 6 total matches.

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University of South Carolina

1. Smiley, Whitney Flemming. Exploring Listwise Deletion and Multilevel Multiple Imputation in Linear Two-Level Organizational Models.

Degree: PhD, Educational Studies, 2015, University of South Carolina

  Problems of missing data are pervasive in social science research. Because of this, researchers have begun to use techniques after data collection to deal… (more)

Subjects/Keywords: Education; Educational Psychology; Listwise Deletion; Missing Data; Multilevel Modeling; Multilevel Multiple Imputation

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

APA (6th Edition):

Smiley, W. F. (2015). Exploring Listwise Deletion and Multilevel Multiple Imputation in Linear Two-Level Organizational Models. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3211

Chicago Manual of Style (16th Edition):

Smiley, Whitney Flemming. “Exploring Listwise Deletion and Multilevel Multiple Imputation in Linear Two-Level Organizational Models.” 2015. Doctoral Dissertation, University of South Carolina. Accessed January 18, 2020. https://scholarcommons.sc.edu/etd/3211.

MLA Handbook (7th Edition):

Smiley, Whitney Flemming. “Exploring Listwise Deletion and Multilevel Multiple Imputation in Linear Two-Level Organizational Models.” 2015. Web. 18 Jan 2020.

Vancouver:

Smiley WF. Exploring Listwise Deletion and Multilevel Multiple Imputation in Linear Two-Level Organizational Models. [Internet] [Doctoral dissertation]. University of South Carolina; 2015. [cited 2020 Jan 18]. Available from: https://scholarcommons.sc.edu/etd/3211.

Council of Science Editors:

Smiley WF. Exploring Listwise Deletion and Multilevel Multiple Imputation in Linear Two-Level Organizational Models. [Doctoral Dissertation]. University of South Carolina; 2015. Available from: https://scholarcommons.sc.edu/etd/3211


George Mason University

2. Cheema, Jehanzeb. Handling Missing Data in Educational Research Using SPSS .

Degree: 2012, George Mason University

 This study looked at the effect of a number of factors such as the choice of analytical method, the handling method for missing data, sample… (more)

Subjects/Keywords: Imputation Method; Item Non-Response; Listwise Deletion; Missing Data; Multiple Imputation; Missing Value

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

APA (6th Edition):

Cheema, J. (2012). Handling Missing Data in Educational Research Using SPSS . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/7840

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):

Cheema, Jehanzeb. “Handling Missing Data in Educational Research Using SPSS .” 2012. Thesis, George Mason University. Accessed January 18, 2020. http://hdl.handle.net/1920/7840.

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

MLA Handbook (7th Edition):

Cheema, Jehanzeb. “Handling Missing Data in Educational Research Using SPSS .” 2012. Web. 18 Jan 2020.

Vancouver:

Cheema J. Handling Missing Data in Educational Research Using SPSS . [Internet] [Thesis]. George Mason University; 2012. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/1920/7840.

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

Council of Science Editors:

Cheema J. Handling Missing Data in Educational Research Using SPSS . [Thesis]. George Mason University; 2012. Available from: http://hdl.handle.net/1920/7840

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


University of Waterloo

3. Entezarkheir, Mahdiyeh. Essays on Innovation, Patents, and Econometrics.

Degree: 2010, University of Waterloo

 This thesis investigates the impact of fragmentation in the ownership of complementary patents or patent thickets on firms' market value. This question is motivated by… (more)

Subjects/Keywords: Innovation; Fragmentation; Market Value; Patent; Patent Thicket; R&D; Spillovers; Missing Data; Unobserved Error Terms; Censored Regressors; Listwise Deletion; Dummy Indicator

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

APA (6th Edition):

Entezarkheir, M. (2010). Essays on Innovation, Patents, and Econometrics. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5320

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):

Entezarkheir, Mahdiyeh. “Essays on Innovation, Patents, and Econometrics.” 2010. Thesis, University of Waterloo. Accessed January 18, 2020. http://hdl.handle.net/10012/5320.

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

MLA Handbook (7th Edition):

Entezarkheir, Mahdiyeh. “Essays on Innovation, Patents, and Econometrics.” 2010. Web. 18 Jan 2020.

Vancouver:

Entezarkheir M. Essays on Innovation, Patents, and Econometrics. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/10012/5320.

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

Council of Science Editors:

Entezarkheir M. Essays on Innovation, Patents, and Econometrics. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5320

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


The Ohio State University

4. Kwon, Hyukje. A Monte Carlo Study of Missing Data Treatments for an Incomplete Level-2 Variable in Hierarchical Linear Models.

Degree: PhD, EDU Policy and Leadership, 2011, The Ohio State University

  This study was designed to evaluate the performance of missing data treatments with restrictive and inclusive strategies in a two-level hierarchical linear model with… (more)

Subjects/Keywords: Educational Tests and Measurements; missing data treatment; listwise deletion; mean substitution; EM; multiple imputation; inclusive; restrictive; bias; RMSE; confidence interval; HLM; intercepts- and slopes- as-outcomes

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

APA (6th Edition):

Kwon, H. (2011). A Monte Carlo Study of Missing Data Treatments for an Incomplete Level-2 Variable in Hierarchical Linear Models. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1303846627

Chicago Manual of Style (16th Edition):

Kwon, Hyukje. “A Monte Carlo Study of Missing Data Treatments for an Incomplete Level-2 Variable in Hierarchical Linear Models.” 2011. Doctoral Dissertation, The Ohio State University. Accessed January 18, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1303846627.

MLA Handbook (7th Edition):

Kwon, Hyukje. “A Monte Carlo Study of Missing Data Treatments for an Incomplete Level-2 Variable in Hierarchical Linear Models.” 2011. Web. 18 Jan 2020.

Vancouver:

Kwon H. A Monte Carlo Study of Missing Data Treatments for an Incomplete Level-2 Variable in Hierarchical Linear Models. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2020 Jan 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1303846627.

Council of Science Editors:

Kwon H. A Monte Carlo Study of Missing Data Treatments for an Incomplete Level-2 Variable in Hierarchical Linear Models. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1303846627

5. Pan, Wensi. Comparison of Imputation Methods on Estimating Regression Equation in MNAR Mechanism.

Degree: Statistics, 2012, Uppsala University

  In this article, we propose an overview of missing data problem, introduce three missing data mechanisms and study general solutions to them when estimating… (more)

Subjects/Keywords: Missing not at Random; Listwise Deletion; Multiple Imputation

…procedures such as listwise or pairwise deletion, substitution of means, regression predictions… …listwise deletion(2). Listwise deletion, also known as complete-case analysis, where… …Deletion, and Multiple Imputation are selected in this section. For listwise deletion, the… …listwise deletion and simple imputation, we calculate the estimates by OLS regression method. For… …Sample size 500 2000 10000 Method Listwise Deletion 0.5999241 0.6000030 0.5999953 Simple… 

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

APA (6th Edition):

Pan, W. (2012). Comparison of Imputation Methods on Estimating Regression Equation in MNAR Mechanism. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175772

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):

Pan, Wensi. “Comparison of Imputation Methods on Estimating Regression Equation in MNAR Mechanism.” 2012. Thesis, Uppsala University. Accessed January 18, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175772.

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

MLA Handbook (7th Edition):

Pan, Wensi. “Comparison of Imputation Methods on Estimating Regression Equation in MNAR Mechanism.” 2012. Web. 18 Jan 2020.

Vancouver:

Pan W. Comparison of Imputation Methods on Estimating Regression Equation in MNAR Mechanism. [Internet] [Thesis]. Uppsala University; 2012. [cited 2020 Jan 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175772.

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

Council of Science Editors:

Pan W. Comparison of Imputation Methods on Estimating Regression Equation in MNAR Mechanism. [Thesis]. Uppsala University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175772

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


Uppsala University

6. Reinhammar, Ragna. Estimation of Regression Coefficients under a Truncated Covariate with Missing Values.

Degree: Statistics, 2019, Uppsala University

  By means of a Monte Carlo study, this paper investigates the relative performance of Listwise Deletion, the EM-algorithm and the default algorithm in the… (more)

Subjects/Keywords: Key words: missing data handling; linear regression; truncated normal distribution; EM-algorithm; Listwise Deletion; MICE; Probability Theory and Statistics; Sannolikhetsteori och statistik

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

APA (6th Edition):

Reinhammar, R. (2019). Estimation of Regression Coefficients under a Truncated Covariate with Missing Values. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385672

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):

Reinhammar, Ragna. “Estimation of Regression Coefficients under a Truncated Covariate with Missing Values.” 2019. Thesis, Uppsala University. Accessed January 18, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385672.

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

MLA Handbook (7th Edition):

Reinhammar, Ragna. “Estimation of Regression Coefficients under a Truncated Covariate with Missing Values.” 2019. Web. 18 Jan 2020.

Vancouver:

Reinhammar R. Estimation of Regression Coefficients under a Truncated Covariate with Missing Values. [Internet] [Thesis]. Uppsala University; 2019. [cited 2020 Jan 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385672.

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

Council of Science Editors:

Reinhammar R. Estimation of Regression Coefficients under a Truncated Covariate with Missing Values. [Thesis]. Uppsala University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385672

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

.