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Research paper thumbnail of Perfect Marriage: The Scientific Method and Supervised Data Mining Models

In this paper, we use Adventure Works’ customer demographics data to see how science prioritizes ... more In this paper, we use Adventure Works’ customer demographics data to see how science prioritizes multivariate inputs to a chosen destination—in this case, whether a customer is married. This paper discusses supervised data mining models in SQL Server Data Mining.

Research paper thumbnail of Applying the Scientific Method to Unsupervised Data Mining Models

Science can guide even when the destination is unspecified. This paper discusses unsupervised da... more Science can guide even when the destination is unspecified. This paper discusses unsupervised data mining models in SQL Server Data Mining.

Research paper thumbnail of The Scientific Method: A Framework for Data Mining

Massive datasets may provide evidence to support current decisions or possibly lead you in entire... more Massive datasets may provide evidence to support current decisions or possibly lead you in entirely new directions. This paper connects the scientific method with data mining.

Research paper thumbnail of Data Analysis Software for Complex Sample Designs

Survey analysts are challenged by how to choose among commonly available software packages when a... more Survey analysts are challenged by how to choose among commonly available software packages when analyzing survey data based on a complex sample design. This paper compares and contrasts features of five complex sample analysis software applications: 1) Epi Info, 2) Stata, 3) SPSS, 4) SUDAAN, and 5) SAS. Important factors include cost and licensing, data manipulation and analysis, comprehensive documentation, technical support available, and ongoing product development. Published research may provide peer-reviewed insight into one or more of these factors. Sample code includes a free, publicly-available data set from the Global Youth Tobacco Survey (GYTS). Using the sample code and free data, anyone could try
out and evaluate these software choices.

Research paper thumbnail of Youth Tobacco Surveillance—United States 1998–1999

MMWR Morbidity and …, Jan 1, 2000

Problem/Condition: Tobacco use is the single leading preventable cause of death in the United Sta... more Problem/Condition: Tobacco use is the single leading preventable cause of death in the United States, accounting for approximately 430,000 deaths each year. The prevalence of cigarette smoking nationwide among high school students increased during the 1990s, peaking in 1996--1997, then began a gradual decline. Approximately 80% of tobacco users initiate use before the age of 18 years. If the trend in early initiation of cigarette smoking continues, approximately 5 million children aged <18 years who are living today will die prematurely as adults because they began to smoke cigarettes during adolescence. The economic liability associated with tobacco use ranges from 50billionto50 billion to 50billionto73 billion per year in medical expenses alone. Because of these health and economic consequences, CDC has recommended that states establish and maintain comprehensive tobacco control programs to reduce tobacco use among youth.

Reporting Period: February 1998 through December 1999.

Description of the System: To assist states in developing and maintaining their state-based comprehensive tobacco prevention and control programs, CDC developed the Youth Tobacco Surveillance and Evaluation System, which includes international, national, and state school-based surveys of middle school and high school students. Two components of this system are discussed --- the National Youth Tobacco Survey and the state Youth Tobacco Surveys. The national survey is representative of students in the 50 states and the District of Columbia; 15,061 students in 131 schools completed questionnaires in 1999. The state surveys were first conducted in 1998, when three states participated, and in 1999, when 13 states participated (13 states conducted middle school surveys and 10 states conducted high school surveys); state sample sizes ranged from 452 to 15,478 students. This report summarizes data from the 1999 national survey and the 1998 and 1999 state surveys.

Research paper thumbnail of Creation of Management Performance Measures From Employee Surveys

Quality Management Journal, Jan 1, 1994

Research paper thumbnail of Macro Architecture In Pictures

SUGI Proceedings, Jan 1, 2005

Research paper thumbnail of Application Refactoring With Design Patterns

Proceedings of the Twenty-Eighth Annual SAS Users …, Jan 1, 2003

Research paper thumbnail of The Dataset Attribute Family of Classes

Proceedings of the Southeast SAS Users' Group …, Jan 1, 2003

Research paper thumbnail of How to Implement the One-Time Methodology

Proceedings of the Twenty-Ninth Annual …, Jan 1, 2004

Research paper thumbnail of Return of the Codes: SAS'®, Windows'®, and Your's

Proceedings of the Second Annual SAS …, Jan 1, 2008

Research paper thumbnail of The One-Time Methodology: Encapsulating Application Data

Proceedings of the Twenty-Eighth Annual SAS Users …, Jan 1, 2003

Research paper thumbnail of SAS® Macro Design Patterns

Research paper thumbnail of Public Health Tobacco Surveillance With SAS®

Research paper thumbnail of Data Analysis Software for Complex Sample Designs (Poster)

2007 National Conference on Tobacco or Health, Jan 1, 2007

Survey analysts are challenged by how to choose among commonly available software packages when a... more Survey analysts are challenged by how to choose among commonly available software packages when analyzing survey data based on a complex sample design. This paper compares and contrasts features of five complex sample analysis software applications: 1) Epi Info, 2) Stata, 3) SPSS, 4) SUDAAN, and 5) SAS. Important factors include cost and licensing, data manipulation and analysis, comprehensive documentation, technical support available, and ongoing product development. Published research may provide peer-reviewed insight into one or more of these factors. Sample code includes a free, publicly-available data set from the Global Youth Tobacco Survey (GYTS). Using the sample code and free data, anyone could try
out and evaluate these software choices.

Research paper thumbnail of Quality Management Climate Assessment In Healthcare

This research developed and examined the validity and reliability of a survey instrument based on... more This research developed and examined the validity and reliability of a survey instrument based on a working model of Quality Management Climate in hospitals. The purpose for development of this survey instrument is to provide a low-cost and simple way for hospitals to understand and monitor how Quality Management has penetrated the organization by focusing on Quality Management Climate. The research population included 994 hospital professionals, including physicians, from seven hospitals in the southeastern United States. The proposed working model of Quality Management Climate is built on Quality Management theory, healthcare quality theory, and related management and organizational climate studies. Hospital performance theory is reviewed to develop an appropriate selection of variables for assessing criterion-related validity. Sixty-four survey items have been constructed for under four groupings: intra-group dynamics, intergroup dynamics, and working relationships with immediate manager and hospital administration. Structural equation modeling provided evidence of construct validity. Analysis of variance provided evidence of ability of the latent dimensions to discriminate among hospitals. Evidence of criterion-related validity is also demonstrated. Possible threats to validity and future research needs are discussed throughout the text.

Research paper thumbnail of CREATION of MANAGEMENT PERFORMANCE

Research paper thumbnail of Why Use Data Mining?

Solid Quality Journal,(July 2010), Jan 1, 2010

Research paper thumbnail of Perfect Marriage

Research paper thumbnail of Applying the Scientific Method

Research paper thumbnail of Perfect Marriage: The Scientific Method and Supervised Data Mining Models

In this paper, we use Adventure Works’ customer demographics data to see how science prioritizes ... more In this paper, we use Adventure Works’ customer demographics data to see how science prioritizes multivariate inputs to a chosen destination—in this case, whether a customer is married. This paper discusses supervised data mining models in SQL Server Data Mining.

Research paper thumbnail of Applying the Scientific Method to Unsupervised Data Mining Models

Science can guide even when the destination is unspecified. This paper discusses unsupervised da... more Science can guide even when the destination is unspecified. This paper discusses unsupervised data mining models in SQL Server Data Mining.

Research paper thumbnail of The Scientific Method: A Framework for Data Mining

Massive datasets may provide evidence to support current decisions or possibly lead you in entire... more Massive datasets may provide evidence to support current decisions or possibly lead you in entirely new directions. This paper connects the scientific method with data mining.

Research paper thumbnail of Data Analysis Software for Complex Sample Designs

Survey analysts are challenged by how to choose among commonly available software packages when a... more Survey analysts are challenged by how to choose among commonly available software packages when analyzing survey data based on a complex sample design. This paper compares and contrasts features of five complex sample analysis software applications: 1) Epi Info, 2) Stata, 3) SPSS, 4) SUDAAN, and 5) SAS. Important factors include cost and licensing, data manipulation and analysis, comprehensive documentation, technical support available, and ongoing product development. Published research may provide peer-reviewed insight into one or more of these factors. Sample code includes a free, publicly-available data set from the Global Youth Tobacco Survey (GYTS). Using the sample code and free data, anyone could try
out and evaluate these software choices.

Research paper thumbnail of Youth Tobacco Surveillance—United States 1998–1999

MMWR Morbidity and …, Jan 1, 2000

Problem/Condition: Tobacco use is the single leading preventable cause of death in the United Sta... more Problem/Condition: Tobacco use is the single leading preventable cause of death in the United States, accounting for approximately 430,000 deaths each year. The prevalence of cigarette smoking nationwide among high school students increased during the 1990s, peaking in 1996--1997, then began a gradual decline. Approximately 80% of tobacco users initiate use before the age of 18 years. If the trend in early initiation of cigarette smoking continues, approximately 5 million children aged <18 years who are living today will die prematurely as adults because they began to smoke cigarettes during adolescence. The economic liability associated with tobacco use ranges from 50billionto50 billion to 50billionto73 billion per year in medical expenses alone. Because of these health and economic consequences, CDC has recommended that states establish and maintain comprehensive tobacco control programs to reduce tobacco use among youth.

Reporting Period: February 1998 through December 1999.

Description of the System: To assist states in developing and maintaining their state-based comprehensive tobacco prevention and control programs, CDC developed the Youth Tobacco Surveillance and Evaluation System, which includes international, national, and state school-based surveys of middle school and high school students. Two components of this system are discussed --- the National Youth Tobacco Survey and the state Youth Tobacco Surveys. The national survey is representative of students in the 50 states and the District of Columbia; 15,061 students in 131 schools completed questionnaires in 1999. The state surveys were first conducted in 1998, when three states participated, and in 1999, when 13 states participated (13 states conducted middle school surveys and 10 states conducted high school surveys); state sample sizes ranged from 452 to 15,478 students. This report summarizes data from the 1999 national survey and the 1998 and 1999 state surveys.

Research paper thumbnail of Creation of Management Performance Measures From Employee Surveys

Quality Management Journal, Jan 1, 1994

Research paper thumbnail of Macro Architecture In Pictures

SUGI Proceedings, Jan 1, 2005

Research paper thumbnail of Application Refactoring With Design Patterns

Proceedings of the Twenty-Eighth Annual SAS Users …, Jan 1, 2003

Research paper thumbnail of The Dataset Attribute Family of Classes

Proceedings of the Southeast SAS Users' Group …, Jan 1, 2003

Research paper thumbnail of How to Implement the One-Time Methodology

Proceedings of the Twenty-Ninth Annual …, Jan 1, 2004

Research paper thumbnail of Return of the Codes: SAS'®, Windows'®, and Your's

Proceedings of the Second Annual SAS …, Jan 1, 2008

Research paper thumbnail of The One-Time Methodology: Encapsulating Application Data

Proceedings of the Twenty-Eighth Annual SAS Users …, Jan 1, 2003

Research paper thumbnail of SAS® Macro Design Patterns

Research paper thumbnail of Public Health Tobacco Surveillance With SAS®

Research paper thumbnail of Data Analysis Software for Complex Sample Designs (Poster)

2007 National Conference on Tobacco or Health, Jan 1, 2007

Survey analysts are challenged by how to choose among commonly available software packages when a... more Survey analysts are challenged by how to choose among commonly available software packages when analyzing survey data based on a complex sample design. This paper compares and contrasts features of five complex sample analysis software applications: 1) Epi Info, 2) Stata, 3) SPSS, 4) SUDAAN, and 5) SAS. Important factors include cost and licensing, data manipulation and analysis, comprehensive documentation, technical support available, and ongoing product development. Published research may provide peer-reviewed insight into one or more of these factors. Sample code includes a free, publicly-available data set from the Global Youth Tobacco Survey (GYTS). Using the sample code and free data, anyone could try
out and evaluate these software choices.

Research paper thumbnail of Quality Management Climate Assessment In Healthcare

This research developed and examined the validity and reliability of a survey instrument based on... more This research developed and examined the validity and reliability of a survey instrument based on a working model of Quality Management Climate in hospitals. The purpose for development of this survey instrument is to provide a low-cost and simple way for hospitals to understand and monitor how Quality Management has penetrated the organization by focusing on Quality Management Climate. The research population included 994 hospital professionals, including physicians, from seven hospitals in the southeastern United States. The proposed working model of Quality Management Climate is built on Quality Management theory, healthcare quality theory, and related management and organizational climate studies. Hospital performance theory is reviewed to develop an appropriate selection of variables for assessing criterion-related validity. Sixty-four survey items have been constructed for under four groupings: intra-group dynamics, intergroup dynamics, and working relationships with immediate manager and hospital administration. Structural equation modeling provided evidence of construct validity. Analysis of variance provided evidence of ability of the latent dimensions to discriminate among hospitals. Evidence of criterion-related validity is also demonstrated. Possible threats to validity and future research needs are discussed throughout the text.

Research paper thumbnail of CREATION of MANAGEMENT PERFORMANCE

Research paper thumbnail of Why Use Data Mining?

Solid Quality Journal,(July 2010), Jan 1, 2010

Research paper thumbnail of Perfect Marriage

Research paper thumbnail of Applying the Scientific Method

Research paper thumbnail of AlAbdulwahab (2009). The relationship between team cohesiveness and core competence in engineering corporations

Innovation and core competence might be lacking in engineering organizations in the Arab world. T... more Innovation and core competence might be lacking in engineering organizations in the Arab world. The purpose of the correlational study was to identify whether a relationship existed between team cohesiveness and core competence in the research population of Arab engineering organizations. Drawn from previous literature were definitions of every variable in the relationship and identification of theoretical gaps in previous models of team cohesiveness. A cross-sectional survey design was used. A total of 134 participants in 5 different companies completed a Web-based survey. Correlation analysis detected a significant relationship between team cohesiveness and core competence. The factors of leadership, culture, structure, and technology were identified as important in the relationship between team cohesiveness and core competence.

Research paper thumbnail of Al-Ahmari (2010). Toward effective information based decision-making processes in major Arabian Gulf companies using a grounded theory

Thirty executives representing major corporations within 6 Arabian Gulf regions participated to a... more Thirty executives representing major corporations within 6 Arabian Gulf regions participated to address the problems created when mental shortcuts are used to make decision and when decision support systems are used to process information. Participants were asked 30 questions on how they use decision support systems, interact with subordinates in decision making, and what enables or prevents good decision making. Best practices in decision making based on decision support systems were shared. Grounded theory qualitative research was used to analyze the content to ground leadership theory from the interrelationship of the categories. The findings indicated the core phenomenon for effective decision making using decision support systems centers on data accuracy and leadership, and the importance of the decision maker, data owner, technology reliability, and 5 prominent leadership behaviors. The categories formed a model showing how executive leaders make decisions with 4 elements occurring simultaneously that guide and influence the understanding of being a responsible leader. Strategies emerged that interrelate with decision making and leadership theories.

Research paper thumbnail of D'souza (2012). Examining the relationship between project risk management and information technology (IT) project success

The purpose of the current quantitative descriptive study was to examine the extent of the relati... more The purpose of the current quantitative descriptive study was to examine the extent of the relationship between project risk management and IT project success. The independent variables were: (a) the organizational leadership mandate on project risk management, (b) the current state of project risk management practices, and (c) the adoption of project risk management practices. Three research questions and three hypotheses were identified for the current study. The current study made use of a structured questionnaire administered through an online survey. The sample size represented 510 PMP certified participants that completed the online survey questionnaire; out of the study population of approximately 10,000 PMI IS COP members. The findings of the current study revealed a statistically significant relationship between the project risk management and IT project success. The results emanating from the current study may add to the existing project management knowledge area; as it could be used to explore project risk management outcomes that could affect IT project success. The exploratory nature of the current study may provide insightful findings, which could better inform and instruct project management practitioners of the facets of project risk management that may improve IT project success.

Research paper thumbnail of Gotay (2013). A classical Delphi study to identify the barriers of pursuing Green Information and Communication Technologies

This qualitative, classical Delphi study served to explore the apparent lack of corporate commitm... more This qualitative, classical Delphi study served to explore the apparent lack of corporate commitment to prioritized Green Information Communication Technologies (ICTs), which could delay the economic and social benefits for maximizing the use of natural energy resources in a weak economy. The purpose of this study was to examine the leadership barriers impeding the full adoption of Green ICTs. A panel of 19 ICT experts participated in a three-round Delphi study. The panels of experts were from industry, government, and academia involved in the education, design, development, and operations of green ICTs. NVIVO 9 software was used for the qualitative data analysis, which served to organize, analyze, and report the results. The leadership barriers identified in this study as impeding the implementation of Green ICT were the understating of Green ICT and the benefits it can yield for organizations. To gain energy cost reductions, and to meet possible future environmental regulations, a paradigm change is needed to integrate Green ICT into organizational strategies, processes, and organization culture. The results of this study provided useful recommendations to rationalize the adoption of Green ICT, and to overcome implementation barriers.

Research paper thumbnail of Larson (2011). Data organization: a theoretical framework for a successful enterprise data strategy

A problem exists where employees and executives do not have access to information that can provid... more A problem exists where employees and executives do not have access to information that can provide a comprehensive view of their business Information systems do not typically focus on providing a view of information that could benefit the entire organization, thus the need for a data strategy that promotes a comprehensive view of the business. Twenty-five leaders from organizations implementing enterprise data participated in the research study. The participants were interviewed on how enterprise data were successful, critical, implemented, and maintained in their organizations. Participants were asked to share their experiences on successful enterprise data strategy and leadership practices. Grounded theory qualitative research was used to analyze the content to ground a framework for an enterprise data strategy from the interrelationship of the categories. The enterprise data categories are interrelated and include: (a) the definition of data, (b) criticality and value, (c) maintenance, (d) implementation, (e) leadership, and (f) success. These categories form an interrelated framework that guides leaders on enterprise data strategy. The strategies that emerged from each of these categories interrelate with change management and leadership theories.

Research paper thumbnail of McHugh (2007). Comparative analysis of Public Health Laboratory Directors and State Health Officials attitudes on accreditation

The quantitative quasi-experimental research study assessed the attitudes differences between 35 ... more The quantitative quasi-experimental research study assessed the attitudes differences between 35 State Public Health Laboratory Directors and 27 State Health Officials on accreditation. Ajzen's Theory of Planned Behavior contends understanding the attitude of an individual or group will predict future behavior. The study findings discovered an attitude difference existed between the two respondent groups. In addition, the findings discovered the two respondent groups' displayed attitude differences on accreditation issues, including achieving accreditation through voluntary participation, which involves peer-review. Assessing the attitudes of two important groups of public health leaders in the initial implementation stages of a national accreditation program provides information on areas of concern and agreement for all public health leaders.

Research paper thumbnail of Timmons (2011). The Relationship between Corporate Social Responsibility and Market Performance

In this correlational study, I examined the relationship between market recognition of corporate ... more In this correlational study, I examined the relationship between market recognition of corporate social responsibility (CSR) and market performance. The percentage of a firm's outstanding stock held in large CSR mutual funds served as a proxy for market recognition of CSR. The Price/Earnings ratio and Market/Book Value per Share served as the measures of market performance. The sample included the largest companies in the world as named by Fortune Magazine in 2007, which I reviewed for the four years 2005-2008. An additional criterion was that the firms reported their financial statements under either U.S. generally accepted accounting principles (GAAP) or International Financial Reporting Standards (IFRS). The tests included Pearson correlations between the variables and independent-measures t -tests on the market performance metrics. I also performed regression analysis and ANOVA tests on the data. Finally, I performed regression analysis of the returns of the stocks held in CSR funds for each year compared to the previous year (year-on-year). With the exception of the year-on-year returns for 2008, the results of the study did not reveal any statistically significant relationship between the variables that indicated CSR initiatives increase a firm's market value. The conclusion is that business strategies should focus on profitability and sustainability, which might contemplate CSR, but that pursuit of CSR as a strategy itself absent of profitability and sustainability considerations does not add market value to the firm.