Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting Procedures

2010 ◽  
pp. 35-44 ◽  
Author(s):  
Yue Gong ◽  
Joseph E. Beck ◽  
Neil T. Heffernan
Keyword(s):  
Factor Analysis ◽  
Model Fitting ◽  
Multiple Model ◽  
Performance Factor ◽  
Knowledge Tracing ◽  
Fitting Procedures ◽  
And Performance

scholarly journals Analise da Capacidade Preditiva de Técnicas para Modelagem do Conhecimento Aplicadas ao Aprendizado de Algoritmos

2020 ◽  
Author(s):  
Antonio Carlos Raposo ◽  
Djefferson Smith Santos Maranhão ◽  
Carlos De Salles Soares Neto
Keyword(s):  
Factor Analysis ◽  
Performance Factor ◽  
Bayesian Knowledge Tracing ◽  
De Se ◽  
Knowledge Tracing

O aprendizado de algoritmos é um tema complexo e existem diversas iniciativas didáticas para aprimorar a experiência do aluno, como tutores inteligentes. A capacidade preditiva de modelos de conhecimento é fundamental para o funcionamento apropriado de tutores inteligentes. Adicionalmente, existem poucos estudos, neste contexto, que indicam os efeitos que o domínio de ensino tem sobre a capacidade preditiva dos modelos. Este artigo apresenta uma análise qualitativa e comparativa entre modelos de conhecimento como Bayesian Knowledge Tracing e Performance Factor Analysis a fim de se identificar possíveis peculiaridades no domino do ensino de algoritmos. Os resultados apontam que a forma de considerar os erros de compilação influencia decisivamente na capacidade preditiva dos modelos e existem argumentos tanto para manter os dados quanto para a remoção dos mesmos.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

Linkage Between Employee Satisfaction and Employee Performance: A Case in Banking Industry

2020 ◽  
pp. 097215092097035
Author(s):  
Sweta Mishra ◽  
Shikta Singh ◽  
Priyanka Tripathy
Keyword(s):  
Factor Analysis ◽  
Human Resource Development ◽  
Employee Satisfaction ◽  
Structural Equation ◽  
Banking Sector ◽  
Financial Institution ◽  
Employee Performance ◽  
Advanced Technology ◽  
Survey Method ◽  
And Performance

Banking sector is predominantly a customer-focused business that provides a gamut of financial services in aid of advanced technology, prompt communication system and conception of various banks to deal with multinational led environment. Some priority should be given to human resource development in order to emerge as strong and viable financial institution. So, the banking sector should emphasize on employees and how they can be satisfied, engaged and perform better. This study indicates to what extent employee satisfaction and employee performance are interlinked with each other. The purpose of this study is to explore the factors of employee satisfaction and employee performance and to establish a relationship between them. A survey method using a structured questionnaire was used to collect the responses of bankers in SBI, Bhubaneswar region. Having the data collected from 240 filled questionnaires, analysis was carried out using exploratory factor analysis, and to further validate this, structural equation modelling was developed. This was followed by a confirmatory factor analysis to establish the linkage between employee satisfaction and employee performance. The results indicated a significant relationship between employee satisfaction and performance. This study contributes to understanding of the various factors affecting employee satisfaction and performance, especially in the banking sector. By focusing on employee satisfaction, managers can keep the employees more focused, engaged and committed to their work and enhance overall productivity of the organization.

Leadership Dimensions of Navy Recruit Company Commanders and Recruit Morale and Performance

1976 ◽  
Vol 39 (3) ◽  
pp. 767-770 ◽  
Author(s):  
Dennis R. Weller ◽  
Arthur S. Blaiwes
Keyword(s):  
Factor Analysis ◽  
Human Factor ◽  
Task Component ◽  
And Performance ◽  
Leadership Dimensions

Leadership dimensions and their relation to recruit satisfaction and performance were studied in 73 company commanders. Recruits completed questionnaires assessing company commanders' behaviors and recruits' attitudes. Factor analysis yielded four factors, Human, Informative, Warm, and Effective Communicator. The Human and Warm factors were consistent with interpersonal components found in prior research, but the Informative and Effective Communicator factors were only marginally consistent with task components found previously. Correlations were computed between the factors and the satisfaction and performance of recruits. All factors correlated significantly with recruits' satisfaction, but only the Human factor correlated significantly (negatively) with recruits' performance. Possible reasons for the lack of a traditional task component are discussed.

scholarly journals Efficacy of immune-strengthening functional drinks in top-level athletes: a questionnaire survey-based research

2021 ◽  
Vol 25 (3) ◽  
pp. 23-27
Author(s):  
Minchul Lee ◽  
Jin-Sook Lee ◽  
Kyunghee Kim ◽  
Chanju Kim
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Physical Condition ◽  
Exercise Performance ◽  
Questionnaire Survey ◽  
Period 2 ◽  
Functional Beverages ◽  
And Performance ◽  
Functional Drink

[Purpose] Functional beverages are intended to support those who want to maintain optimal physical condition and improve their quality of life through the enhancement of heart health, immunity, and digestion. The purpose of this study was to investigate the performance of top-level athletes consuming immune-strengthening conditioning nutritional drinks.[Methods] A total of 107 top-level athletes (baseball (56 players), pro volleyball (17), athletics (16), cycling (8), golf (6), and fencing (6)) participated in the experiment. They consumed an immune-enhancing functional beverage once a day for 8 weeks and responded to a survey before, during, and after drinking the beverage.[Results] Three total aspect-based subfactors were drawn from 24 questions in the factor analysis: physical, satisfaction with mental stability, and activity in performance. The physical, mental stability and performance changes of athletes significantly increased in period 2 (4 weeks after intake) and period 3 (after 8 weeks of intake).[Conclusion] We evaluated the efficacy of a new conditioned beverage containing Lactobacillus B240 and protein in improving the performance and physiological utility of top athletes. This functional drink may gain popularity among those seeking health benefits and improved exercise performance.

A validation of the performance management scale

2018 ◽  
Vol 35 (6) ◽  
pp. 1253-1267 ◽  
Author(s):  
Khahan Na-nan ◽  
Kanokporn Chaiprasit ◽  
Peerapong Pukkeeree
Keyword(s):  
Factor Analysis ◽  
Performance Evaluation ◽  
Performance Management ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Evaluation Performance ◽  
Content Type ◽  
Performance Review ◽  
And Performance ◽  
Fit Index

Purpose The purpose of this paper is to develop a performance management (PM) scale questionnaire that encompasses the pre-requisite, performance planning, performance evaluation, performance review, and performance application dimensions of PM. Design/methodology/approach In the study, the 33 questionnaire questions were first validated using exploratory factor analysis (EFA) and then by confirmatory factor analysis (CFA) along the three performance dimensions. The research sample consists of 330 entrepreneurs. The factor analysis results confirm the validity of the questionnaire as a reliable entrepreneur PM evaluation tool, as evidenced by the composite reliability of 0.845 and the average variance extracted of 0.532. Findings All constructs revealed the acceptable internal consistency reliability. A good model fit was found for the measurement model using several fit index like χ2=449.983, degree of freedom=415, p-value (p)=0.114, goodness of fit index=0.927, adjusted goodness of fit index=0.901, root mean square error of approximation=0.016, and root of mean square residuals=0.032. Research limitations/implications The PM model was examined using EFA and CFA only. A sample with only SMEs entrepreneurs and large sample size and sample area can be used in future research. Practical implications This research paper is an endeavor to explore only the reliability and validity of the PM model. Thus all the five dimension, namely “pre-requisite” “performance planning,” “performance evaluation,” “performance review,” and “performance application” proved out of be reliable and validated when it will be tested in case of SMEs’ high-growth sectors and high-impact sectors. Originality/value The main contribution of this research is that all factors have a good fit and acceptable reliability value; each factor can be measured individually depending on the nature of the research.

scholarly journals Biomass and Volume Modeling along with Carbon Concentration Variations of Short-Rotation Poplar Plantations

Forests ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 780 ◽  
Author(s):  
Lihu Dong ◽  
Faris Rafi Almay Widagdo ◽  
Longfei Xie ◽  
Fengri Li
Keyword(s):  
Carbon Sink ◽  
Biomass Conversion ◽  
Model Fitting ◽  
National Forest Inventory ◽  
Model Systems ◽  
Stem Volume ◽  
Crown Length ◽  
Short Rotation ◽  
And Performance ◽  
Volume Models

Short-rotation forestry is of interest to provide biomass for bioenergy and act as a carbon sink to mitigate global warming. The Poplar tree (Populus × xiaohei) is a fast-growing and high-yielding tree species in Northeast China. In this study, a total of 128 Populus × xiaohei trees from the Songnen Plain, Heilongjiang Province, Northeastern China, were harvested. Several available independent variables, such as tree diameter at breast height (D), tree’s total height (H), crown width (CW), and crown length (CL), were differently combined to develop three additive biomass model systems and eight stem volume models for Populus × xiaohei tree. Variance explained within the three additive biomass model systems ranged from 83% to 98%, which was lowest for the foliage models, and highest for the stem biomass models. Similar findings were found in the stem volume models, in which the models explained more than 94% of the variance. The additional predictors, such as H, CL, or CW, evidently enhanced the model fitting and performance for the total and components biomass along with the stem volume models. Furthermore, the biomass conversion and expansion factors (BCEFs) of the root (118.2 kg/m3), stem (380.2 kg/m3), branch (90.7 kg/m3), and foliage (31.2 kg/m3) were also calculated. The carbon concentrations of Populus × xiaohei in root, stem, branch, and foliage components were 45.98%, 47.74%, 48.32%, and 48.46%, respectively. Overall, the newly established models in this study provided complete and comprehensive tools for quantifying the biomass and stem volume of Populus × xiaohei, which might be essential to be specifically utilized in the Chinese National Forest Inventory.

A Techno-Economic Analysis of Mobile Virtual Network Operators

2011 ◽  
pp. 158-172
Author(s):  
Dong Hee Shin
Keyword(s):  
Factor Analysis ◽  
Economic Analysis ◽  
Market Structure ◽  
Economic Assessment ◽  
Regression Equation ◽  
Virtual Network ◽  
Track Record ◽  
Equation Analysis ◽  
And Performance ◽  
Mobile Market

The purpose of this study is to examine cross-national data in order to identify possible factors related to the observable patterns of Mobile Virtual Network Operator (MVNO) penetration. For this purpose, a mobile market structure is analyzed considering important economic factors related to the penetration of MVNOs. MVNOs have gained popularity in the Western markets, but have a dismal track record in non-Western regions. In comparing the different regions, this study analyzes how the MVNO market has changed and what opportunities and/or threats network operators and potential MVNO entrants are likely to face. This study conducts an economic assessment of market structure and environment for different countries’ MVNO penetration. The data on market structure is analyzed by means of cluster/factor analysis techniques in order to group countries according to their market environments. Then, regression equation analysis is used to investigate the relations of MVNO penetration and independent variables. The results show that MVNO penetration significantly relates to market structure and performance. These results also imply an appropriate policy to promote MVNO diffusion.

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