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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

URL: https://scholarcommons.sc.edu/etd/3211

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1920/7840

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

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

Degree: 2010, University of Waterloo

URL: http://hdl.handle.net/10012/5320

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1303846627

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175772

► 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…

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385672

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation