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2016

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An Improved Generalized Estimation Procedure Of Current Population Mean In Two-Occasion Successive Sampling, G. N. Singh, Alok Kumar Singh, Anup Kumar Sharma Nov 2016

An Improved Generalized Estimation Procedure Of Current Population Mean In Two-Occasion Successive Sampling, G. N. Singh, Alok Kumar Singh, Anup Kumar Sharma

Journal of Modern Applied Statistical Methods

The present work is an attempt to make use of several auxiliary variables on both occasions for improving the precision of estimates for the current population mean in two-occasion successive sampling. A generalized exponential-cum-regression type estimator of the current population mean is proposed and its optimum replacement strategy has been discussed. Empirical studies are carried out to show the dominance of the proposed estimation procedure over the sample mean estimator and natural successive sampling estimator. Empirical results have been interpreted and suitable recommendations are put forward to survey practitioners.

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A Comprehensive Review Of The Two-Sample Independent Or Paired Binary Data, With Or Without Stratum Effects, Dewi Rahardja, Ying Yang, Zhiwei Zhang Nov 2016

A Comprehensive Review Of The Two-Sample Independent Or Paired Binary Data, With Or Without Stratum Effects, Dewi Rahardja, Ying Yang, Zhiwei Zhang

Journal of Modern Applied Statistical Methods

Various statistical hypotheses testing for discrete or categorical or binary data have been extensively discussed in the literature. A comprehensive review is given for the two-sample binary or categorical data testing methods on data with or without Stratum Effects. The review includes traditional methods such as Fisher’s Exact, Pearson’s Chi-Square, McNemar, Bowker, Stuart-Maxwell, Breslow-Day and, Cochran-Mantel-Haenszel, as well as newly developed ones. We also provide the roadmap, in a figure or diagram format to which methods are available in the literature. In addition, the implementation of these methods in popular statistical software packages such as SAS and/or R is also …

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Evaluation Of The Addition Of Firth’S Penalty Term To The Bradley-Terry Likelihood, Paul Meyvisch Nov 2016

Evaluation Of The Addition Of Firth’S Penalty Term To The Bradley-Terry Likelihood, Paul Meyvisch

Journal of Modern Applied Statistical Methods

A major shortcoming of the Bradley-Terry model is that the maximum likelihood estimates are infinite-valued in the presence of separation and may be unreliable when data are nearly separated. A well-known solution consists of the addition of Firth' s penalty term to the log-likelihood function, and solve this penalized likelihood through logistic regression.The maximum likelihood estimates with and without Firth's penalty are compared in a large and heterogeneous population of table-tennis players. We additionally show that exact penalized maximum likelihood estimates can be reasonably approximated using a well-chosen Minorization-Maximization (MM) algorithm.

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Optimal Estimation And Sampling Allocation In Survey Sampling Under A General Correlated Superpopulation Model, Ioulia Papageorgiou Nov 2016

Optimal Estimation And Sampling Allocation In Survey Sampling Under A General Correlated Superpopulation Model, Ioulia Papageorgiou

Journal of Modern Applied Statistical Methods

Sampling from a finite population with correlated units is addressed. The proposed methodology applies to any type of correlation function and provides the sample allocation that ensures optimal efficiency of the population parameters estimates. The expressions of the estimate and its MSE are also provided.

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An Adjusted Network Information Criterion For Model Selection In Statistical Neural Network Models, Christopher Godwin Udomboso, Godwin Nwazu Amahia, Isaac Kwame Dontwi Nov 2016

An Adjusted Network Information Criterion For Model Selection In Statistical Neural Network Models, Christopher Godwin Udomboso, Godwin Nwazu Amahia, Isaac Kwame Dontwi

Journal of Modern Applied Statistical Methods

In this paper, we derived and investigated the Adjusted Network Information Criterion (ANIC) criterion, based on Kullback’s symmetric divergence, which has been designed to be an asymptotically unbiased estimator of the expected Kullback-Leibler information of a fitted model. The ANIC improves model selection in more sample sizes than does the NIC.

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Monte Carlo Simulation Design For Evaluating Normal-Based Control Chart Properties, John N. Dyer Nov 2016

Monte Carlo Simulation Design For Evaluating Normal-Based Control Chart Properties, John N. Dyer

Journal of Modern Applied Statistical Methods

The advent of more complicated control charting schemes has necessitated the use of Monte Carlo simulation (MCS) methods. Unfortunately, few sources exist to study effective design and validation of MCS methods related to control charting. This paper describes the design, issues, considerations and limitations for conducting normal-based control chart MCS studies, including choice of random number generator, simulation size requirements, and accuracy/error in simulation estimation. This paper also describes two design strategies for MCS for control chart evaluations and provides the programming code. As a result, this paper hopes to establish de facto MCS schemes aimed at guiding researchers and …

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Latent Variable Model For Weight Gain Prevention Data With Informative Intermittent Missingness, Li Qin, Lisa Weissfeld, Michele Levine, Marsha Marcus, Feng Dai Nov 2016

Latent Variable Model For Weight Gain Prevention Data With Informative Intermittent Missingness, Li Qin, Lisa Weissfeld, Michele Levine, Marsha Marcus, Feng Dai

Journal of Modern Applied Statistical Methods

Missing data is a common problem in longitudinal studies because of the characteristics of repeated measurements. Herein is proposed a latent variable model for nonignorable intermittent missing data in which the latent variables are used as random effects in modeling and link longitudinal responses and missingness process. In this methodology, the latent variables are assumed to be normally distributed with zero-mean, and the values of variance-covariance are calculated through maximum likelihood estimations. Parameter estimates and standard errors of the proposed method are compared with the mixed model and the complete-case analysis in the simulations and the application to the weight …

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E-Bayesian Estimation Of The Parameter Of The Logarithmic Series Distribution, Parviz Nasiri, Hassan Esfandyarifar Nov 2016

E-Bayesian Estimation Of The Parameter Of The Logarithmic Series Distribution, Parviz Nasiri, Hassan Esfandyarifar

Journal of Modern Applied Statistical Methods

E-Bayesian estimation is introduced to estimate the parameter of logarithmic series distribution. In addition, E-Bayesian, Bayesian and maximum likelihood estimation with through applying mean squared error.

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Jmasm41: An Alternative Method For Multiple Linear Model Regression Modeling, A Technical Combining Of Robust, Bootstrap And Fuzzy Approach (Sas), Wan Muhamad Amir W Ahmad, Mohamad Arif Awang Nawi, Nor Azlida Aleng, Mohamad Shafiq Nov 2016

Jmasm41: An Alternative Method For Multiple Linear Model Regression Modeling, A Technical Combining Of Robust, Bootstrap And Fuzzy Approach (Sas), Wan Muhamad Amir W Ahmad, Mohamad Arif Awang Nawi, Nor Azlida Aleng, Mohamad Shafiq

Journal of Modern Applied Statistical Methods

Research on modeling is becoming popular nowadays, there are several of analyses used in research for modeling and one of them is known as applied multiple linear regressions (MLR). To obtain a bootstrap, robust and fuzzy multiple linear regressions, an experienced researchers should be aware the correct method of statistical analysis in order to get a better improved result. The main idea of bootstrapping is to approximate the entire sampling distribution of some estimator. To achieve this is by resampling from our original sample. In this paper, we emphasized on combining and modeling using bootstrapping, robust and fuzzy regression methodology. …

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Structural Elements Of An Nrps Cyclization Domain And Its Intermodule Docking Domain, Daniel P. Dowling, Yan Kung, Anna K. Croft, Koli Taghizadeh, Wendy L. Kelly, Christopher T. Walsh, Catherine L. Drennan Nov 2016

Structural Elements Of An Nrps Cyclization Domain And Its Intermodule Docking Domain, Daniel P. Dowling, Yan Kung, Anna K. Croft, Koli Taghizadeh, Wendy L. Kelly, Christopher T. Walsh, Catherine L. Drennan

Chemistry Faculty Research and Scholarship

Epothilones are thiazole-containing natural products with anticancer activity that are biosynthesized by polyketide synthase (PKS)-nonribosomal peptide synthetase (NRPS) enzymes EpoA–F. A cyclization domain of EpoB (Cy) assembles the thiazole functionality from an acetyl group and L-cysteine via condensation, cyclization, and dehydration. The PKS carrier protein of EpoA contributes the acetyl moiety, guided by a docking domain, whereas an NRPS EpoB carrier protein contributes L-cysteine. To visualize the structure of a cyclization domain with an accompanying docking domain, we solved a 2.03-Å resolution structure of this bidomain EpoB unit, comprising residues M1-Q497 (62 kDa) of the 160-kDa EpoB protein. We find …

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An Examination Of Children’S Learning Progression Shifts While Using Touch Screen Virtual Manipulative Mathematics Apps, Christina M. Watts, Patricia S. Moyer-Packenham, Stephen I. Tucker, Emma P. Bullock, Jessica F. Shumway, Arla Westenskow, Jennifer Boyer-Thurgood, Katie Anderson-Pence, Salif Mahamane, Kerry Jordan Nov 2016

An Examination Of Children’S Learning Progression Shifts While Using Touch Screen Virtual Manipulative Mathematics Apps, Christina M. Watts, Patricia S. Moyer-Packenham, Stephen I. Tucker, Emma P. Bullock, Jessica F. Shumway, Arla Westenskow, Jennifer Boyer-Thurgood, Katie Anderson-Pence, Salif Mahamane, Kerry Jordan

Instructional Technology and Learning Sciences Student Research

The purpose of this study was to examine shifts in young children's learning progression levels while they interacted with virtual manipulative mathematics apps on touch-screen devices. A total of 100 children participated in six mathematics learning sequences while using 18 virtualmanipulative mathematics touch-screen apps during clinical interviews. Researchers developed a micro-scoring tool to analyze video data from two camera sources (i.e., GoPro camera, wall-mounted camera). Our results showed that it is possible to document evidence of shifts in children's learningprogressions while they are interacting with mathematics apps on touch-screen devices. Our results also indicated patterns in the children's interactions that …

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Observation On The Ultrastructure Morphology Of Hela Cells Treated With Ethanol: Statistical Analysis., Fakhri Al-Bagdadi, Matthew J Young, James P Geaghan, Shaomian Yao, Humberto M Barona, Eduardo Martinez-Ceballos, Masami Yoshimura Nov 2016

Observation On The Ultrastructure Morphology Of Hela Cells Treated With Ethanol: Statistical Analysis., Fakhri Al-Bagdadi, Matthew J Young, James P Geaghan, Shaomian Yao, Humberto M Barona, Eduardo Martinez-Ceballos, Masami Yoshimura

Articles

It is estimated that 5.9% of all human deaths are attributable to alcohol consumption and that the harmful use of ethanol ranks among the top five risk factors for causing disease, disability, and death worldwide. Ethanol is known to disrupt phospholipid packing and promote membrane hemifusion at lipid bilayers. With the exception of mitochondria involved in hormone synthesis, the sterol content of mitochondrial membranes is low. As membranes that are low in cholesterol have increased membrane fluidity and are the most easily disordered by ethanol, we hypothesize that mitochondria are sensitive targets for ethanol damage. HeLa cells were exposed to …

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A Note On The Relationship Between The Pearson Product-Moment And The Spearman Rank-Based Coefficients Of Correlation, Todd C. Headrick Nov 2016

A Note On The Relationship Between The Pearson Product-Moment And The Spearman Rank-Based Coefficients Of Correlation, Todd C. Headrick

Publications

This note derives the relationship between the Pearson product-moment coefficient of correlation and the Spearman rank-based coefficient of correlation for the bivariate normal distribution. This new derivation shows the relationship between the two correlation coefficients through an infinite cosine series. A computationally efficient algorithm is also provided to estimate the relationship between the Pearson product-moment coefficient of correlation and the Spearman rank-based coefficient of correlation. The algorithm can be implemented with relative ease using current modern mathematical or statistical software programming languages e.g. R, SAS, Mathematica, Fortran, et al . The algorithm is also available from the author of this …

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Informal Technology Coaching: Using Pre-Service Teacher Field Experiences To Support K-12 Flipped Classroom Instruction, Antoinette P. Bruciati, Maria Lizano-Dimare Nov 2016

Informal Technology Coaching: Using Pre-Service Teacher Field Experiences To Support K-12 Flipped Classroom Instruction, Antoinette P. Bruciati, Maria Lizano-Dimare

Education Faculty Publications

This paper describes a pilot field experience component that is part of an online graduate level course in educational technology for pre-service teacher candidates. As part of the field experience, teacher candidates develop a model lecture video and learning activity screencast that are used to coach certified teachers in the methods for “flipping” their classrooms. The field experience is used by course instructors to determine the ability of their teacher candidates to plan technology-enhanced learning experiences, deepen their content knowledge, and improve their abilities to select and use developmentally appropriate technologies. Certified teachers benefit through informal coaching by pre-service teacher …

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Hierarchical Visualization Of Video Search Results For Topic-Based Browsing, Yu-Gang Jiang, Jiajun Wang, Qiang Wang, Wei Liu, Chong-Wah Ngo Nov 2016

Hierarchical Visualization Of Video Search Results For Topic-Based Browsing, Yu-Gang Jiang, Jiajun Wang, Qiang Wang, Wei Liu, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Existing video search engines return a ranked list of videos for each user query, which is not convenient for browsing the results of query topics that have multiple facets, such as the "early life," "personal life," and "presidency" of a query "Barack Obama." Organizing video search results into semantically structured hierarchies with nodes covering different topic facets can significantly improve the browsing efficiency for such queries. In this paper, we introduce a hierarchical visualization approach for video search result browsing, which can help users quickly understand the multiple facets of a query topic in a very well-organized manner. Given a …

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Designing And Evaluating Business Process Models: An Experimental Approach, Yuecheng Martin Yu, Alexander Pelaez, Karl R. Lang Nov 2016

Designing And Evaluating Business Process Models: An Experimental Approach, Yuecheng Martin Yu, Alexander Pelaez, Karl R. Lang

Research Collection School Of Computing and Information Systems

This paper presents an experimental approach to compare the performance of alternative business process designs. We use an example case of an electronic group buying setting to demonstrate how our approach can be applied in practice. More specifically, we chose a standard business process, the sales process as implemented on a group buying platform, to illustrate how a business process may be redesigned in order to better meet the needs of customers. For that purpose, we introduce a social technology feature to support cooperation among buyers in the sales process and then analyze the performance impact of the proposed business …

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A Method Of Integrating Correlation Structures For A Generalized Recursive Route Choice Model, Tien Mai Nov 2016

A Method Of Integrating Correlation Structures For A Generalized Recursive Route Choice Model, Tien Mai

Research Collection School Of Computing and Information Systems

We propose a way to estimate a generalized recursive route choice model. The model generalizes other existing recursive models in the literature, i.e., (Fosgerau et al., 2013b; Mai et al., 2015c), while being more flexible since it allows the choice at each stage to be any member of the network multivariate extreme value (network MEV) model (Daly and Bierlaire, 2006). The estimation of the generalized model requires defining a contraction mapping and performing contraction iterations to solve the Bellman’s equation. Given the fact that the contraction mapping is defined based on the choice probability generating functions (CPGF) (Fosgerau et al., …

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A Decomposition Method For Estimating Recursive Logit Based Route Choice Models, Tien Mai, Fabian Bastin, Emma Frejinger Nov 2016

A Decomposition Method For Estimating Recursive Logit Based Route Choice Models, Tien Mai, Fabian Bastin, Emma Frejinger

Research Collection School Of Computing and Information Systems

Fosgerau et al. (2013) recently proposed the recursive logit (RL) model for route choice problems, that can be consistently estimated and easily used for prediction without any sampling of choice sets. Its estimation however requires solving many large-scale systems of linear equations, which can be computationally costly for real data sets. We design a decomposition (DeC) method in order to reduce the number of linear systems to be solved, opening the possibility to estimate more complex RL based models, for instance mixed RL models. We test the performance of the DeC method by estimating the RL model on two networks …

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M(2)-Abks: Attribute-Based Multi-Keyword Search Over Encrypted Personal Health Records In Multi-Owner Setting, Yinbin Miao, Jianfeng Ma, Ximeng Liu, Fushan Wei, Zhiquan Liu, Xu An Wang Nov 2016

M(2)-Abks: Attribute-Based Multi-Keyword Search Over Encrypted Personal Health Records In Multi-Owner Setting, Yinbin Miao, Jianfeng Ma, Ximeng Liu, Fushan Wei, Zhiquan Liu, Xu An Wang

Research Collection School Of Computing and Information Systems

Online personal health record (PHR) is more inclined to shift data storage and search operations to cloud server so as to enjoy the elastic resources and lessen computational burden in cloud storage. As multiple patients' data is always stored in the cloud server simultaneously, it is a challenge to guarantee the confidentiality of PHR data and allow data users to search encrypted data in an efficient and privacy-preserving way. To this end, we design a secure cryptographic primitive called as attribute-based multi-keyword search over encrypted personal health records in multi-owner setting to support both fine-grained access control and multi-keyword search …

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A Provably Secure Aggregate Signature Scheme For Healthcare Wireless Sensor Networks, Limin Shen, Jianfeng Ma, Ximeng Liu, Meixia Miao Nov 2016

A Provably Secure Aggregate Signature Scheme For Healthcare Wireless Sensor Networks, Limin Shen, Jianfeng Ma, Ximeng Liu, Meixia Miao

Research Collection School Of Computing and Information Systems

Wireless sensor networks (WSNs) are being used in a wide range of applications for healthcare monitoring, like heart rate monitors and blood pressure monitors, which can minimize the need for healthcare professionals. In medical system, sensors on or in patients produce medical data which can be easily compromised by a vast of attacks. Although signature schemes can protect data authenticity and data integrity, when the number of users involved in the medical system becomes huge, the bandwidth and storage cost will rise sharply so that existing signature schemes are inapplicability for WSNs. In this paper, we propose an efficient aggregate …

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An Efficient And Expressive Ciphertext-Policy Attribute-Based-Encryption Scheme With Partially Hidden Access Structures, Hui Cui, Deng, Robert H., Guowei Wu, Junzuo Lai Nov 2016

An Efficient And Expressive Ciphertext-Policy Attribute-Based-Encryption Scheme With Partially Hidden Access Structures, Hui Cui, Deng, Robert H., Guowei Wu, Junzuo Lai

Research Collection School Of Computing and Information Systems

A promising solution to protect data privacy in cloud storage services is known as ciphertext-policy attribute-based encryption (CP-ABE). However, in a traditional CP-ABE scheme, a ciphertext is bound with an explicit access structure, which may leak private information about the underlying plaintext in that anyone having access to the ciphertexts can tell the attributes of the privileged recipients by looking at the access structures. A notion called CP-ABE with partially hidden access structures [14, 15, 18, 19, 24] was put forth to address this problem, in which each attribute consists of an attribute name and an attribute value and the …

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Grab Taxi: Navigating New Frontiers, Mei Lin, Christopher Dula Nov 2016

Grab Taxi: Navigating New Frontiers, Mei Lin, Christopher Dula

Research Collection School Of Computing and Information Systems

In mid-2016, Anthony Tan, the CEO of Grab, an on-demand transportation-app company serving Southeast Asia, was locked in a high stakes struggle to win the hearts and minds of drivers, passengers and regulators alike. Valued at an estimated US$1.5 billion, Grab (known among consumers as ‘GrabTaxi’) had become one of Asia’s most successful start-ups.

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Learning Sentence Embeddings With Auxiliary Tasks For Cross-Domain Sentiment Classification, Jianfei Yu, Jing Jiang Nov 2016

Learning Sentence Embeddings With Auxiliary Tasks For Cross-Domain Sentiment Classification, Jianfei Yu, Jing Jiang

Research Collection School Of Computing and Information Systems

In this paper, we study cross-domain sentiment classification with neural network architectures. We borrow the idea from Structural Correspondence Learning and use two auxiliary tasks to help induce a sentence embedding that supposedly works well across domains for sentiment classification. We also propose to jointly learn this sentence embedding together with the sentiment classifier itself. Experiment results demonstrate that our proposed joint model outperforms several state-of-the-art methods on five benchmark datasets.

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Cost Sensitive Online Multiple Kernel Classification, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi Nov 2016

Cost Sensitive Online Multiple Kernel Classification, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Learning from data streams has been an important open research problem in the era of big data analytics. This paper investigates supervised machine learning techniques for mining data streams with application to online anomaly detection. Unlike conventional machine learning tasks, machine learning from data streams for online anomaly detection has several challenges: (i) data arriving sequentially and increasing rapidly, (ii) highly class-imbalanced distributions; and (iii) complex anomaly patterns that could evolve dynamically.To tackle these challenges, we propose a novel Cost-Sensitive Online Multiple Kernel Classification (CSOMKC) scheme for comprehensively mining data streams and demonstrate its application to online anomaly detection. Specifically, …

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Editorial: Trust Management For Multimedia Big Data, Zheng Yan, Jun Liu, Deng, Robert H., Francisco Herrera Nov 2016

Editorial: Trust Management For Multimedia Big Data, Zheng Yan, Jun Liu, Deng, Robert H., Francisco Herrera

Research Collection School Of Computing and Information Systems

No abstract provided.

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An Efficient Privacy-Preserving Outsourced Calculation Toolkit With Multiple Keys, Ximeng Liu, Robert H. Deng, Kim-Kwang Raymond Choo, Jian Weng Nov 2016

An Efficient Privacy-Preserving Outsourced Calculation Toolkit With Multiple Keys, Ximeng Liu, Robert H. Deng, Kim-Kwang Raymond Choo, Jian Weng

Research Collection School Of Computing and Information Systems

In this paper, we propose a toolkit for efficient and privacy-preserving outsourced calculation under multiple encrypted keys (EPOM). Using EPOM, a large scale of users can securely outsource their data to a cloud server for storage. Moreover, encrypted data belonging to multiple users can be processed without compromising on the security of the individual user's (original) data and the final computed results. To reduce the associated key management cost and private key exposure risk in EPOM, we present a distributed two-trapdoor public-key cryptosystem, the core cryptographic primitive. We also present the toolkit to ensure that the commonly used integer operations …

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Privacy-Preserving Outsourced Calculation On Floating Point Numbers, Ximeng Liu, Robert H. Deng, Wenxiu Ding, Rongxing Lu Nov 2016

Privacy-Preserving Outsourced Calculation On Floating Point Numbers, Ximeng Liu, Robert H. Deng, Wenxiu Ding, Rongxing Lu

Research Collection School Of Computing and Information Systems

In this paper, we propose a framework for privacy-preserving outsourced calculation on floating point numbers (POCF). Using POCF, a user can securely outsource the storing and processing of floating point numbers to a cloud server without compromising on the security of the (original) data and the computed results. In particular, we first present privacy-preserving integer processing protocols for common integer operations. We then present an approach to outsourcing floating point numbers for storage in a privacy-preserving way, and securely processing commonly used floating point number operations on-the-fly. We prove that the proposed POCF achieves the goal of floating point number …

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Partitioning Uncertain Workloads, Freddy Chua, Bernardo A. Huberman Nov 2016

Partitioning Uncertain Workloads, Freddy Chua, Bernardo A. Huberman

Research Collection School Of Computing and Information Systems

We present a method for determining the ratio of the tasks when breaking any complex workload in such a way that once the outputs from all tasks are joined, their full completion takes less time and exhibit smaller variance than when running on the undivided workload. To do that, we have to infer the capabilities of the processing unit executing the divided workloads or tasks. We propose a Bayesian Inference algorithm to infer the amount of time each task takes in a way that does not require prior knowledge on the processing unit capability. We demonstrate the effectiveness of this …

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Exploring The Outdoors: A Multiple Case Study Examining Teacher Beliefs And Practices In Preschool Outdoor Play, Beverly Goodling Nov 2016

Exploring The Outdoors: A Multiple Case Study Examining Teacher Beliefs And Practices In Preschool Outdoor Play, Beverly Goodling

Doctoral Dissertations and Projects

The purpose of this multiple case study was to discover the beliefs and practices regarding preschool outdoor play for early care and education teachers at three diverse school locations. Each site, located in central Pennsylvania, represented a different playground environment: manufactured, natural, and a mixed environment. Using purposeful, maximum variation sampling, three teachers from each of the three centers were selected as participants, based on age, number of years teaching, and educational background. Data collection methods consisted of observations, using the Preschool Outdoor Environment Measurement Scale (DeBord, Hestenes, Moore, Cosco & McGinnis, 2005), semi-structured interviews and a document review to …

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A Phenomenological Study Of Employers' Perceptions Of Heating, Ventilation, And Air Conditioning (Hvac) Graduates, Howard Hendren Nov 2016

A Phenomenological Study Of Employers' Perceptions Of Heating, Ventilation, And Air Conditioning (Hvac) Graduates, Howard Hendren

Doctoral Dissertations and Projects

In the state of Kansas, career technical education (CTE) has undergone major changes. The Kansas Board of Regents, the Technical Education Authority, and business and industry joined together to align Heating, Ventilation, and Air Conditioning (HVAC) programs to make a comprehensive program beneficial to students, graduates, and business and industry. CTE provides students and adults with technical skills, knowledge, and training. Post-secondary education is designed to instruct students concerning careers, career readiness, and the 21st century workplace. The purpose of this transcendental phenomenological study was to understand and describe employers’ perceptions of HVAC graduates. Through the use of a survey, …

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