Predicting General Aviation Pilots’ Weather-Related Performance through a Scenario-Based Assessment

2017 ◽  
Vol 61 (1) ◽  
pp. 2000-2004
Author(s):  
Jessica Cruit ◽  
Christina Frederick ◽  
Beth Blickensderfer ◽  
Joseph R. Keebler ◽  
Thomas Guinn
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
General Aviation ◽  
Predictor Variables ◽  
Flight Safety ◽  
Additional Education ◽  
Aviation Pilots ◽  
And Training ◽  
Aviation Weather

Weather-related accidents continue to challenge the general aviation (GA) community and with the development of advanced weather technology, GA pilots need additional education and training on how to effectively use these weather products to ensure flight safety. Currently, the literature on aviation weather suggests that there is a gap in both training and assessment strategy for GA pilots. Furthermore, several studies advocate assessing GA pilots at a deeper level of learning by including weather-based, scenario/application questions on the Federal Aviation Administration’s (FAA) written exam for private pilots. After first developing a scenario-based, aviation weather assessment, we used a multiple regression analysis to predict aviation weather performance from 90 GA pilots. In addition, we used Baron and Kenny’s (1986) test for mediation to predict aviation weather performance from four predictor variables (i.e., a scenario-based aviation weather assessment, a traditional, non-scenario-based weather assessment, weather salience, and aviation weather experience). The results of the study indicated that scores on the scenario-based assessment were the strongest predictor of aviation weather performance followed by aviation weather experience. These results support the need for scenario-based weather questions on the FAA written exam for private pilots. The results of this study could help aviation officials and educators better assess and train general aviation pilots on weather-related topics.

ANALISIS PENGARUH MOTIVASI KERJA DAN PELATIHAN TERHADAP KINERJA PEGAWAI DINAS PENDIDIKAN DAN KEBUDAYAAN KABUPATEN PADANG PARIAMAN

2020 ◽  
Author(s):  
Vebi Deswanto
Keyword(s):  
Regression Analysis ◽  
Quantitative Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Motivation ◽  
Employee Performance ◽  
Department Of Education ◽  
Performance Result ◽  
Training Variable ◽  
And Training

The purpose of this research is to analyza the influence of work motivation and training on the performance of the employees at the Education and Culture Office Of Padang Pariaman Regency. In this study using descriptive analisys. This analysis is to strengthen the argumentation and logic in answering and implementing allegations that will be described in quantitative analysis, for testing this research hypothesis, including multiple regression analysis. The result of this study illustrate that all variables affect the performance of employees. The result of this research where the variable of work motivation (X1) is known equal to 1,670 then training variable (X2) is obtained equal to 1,670, for employee performance result (Y) equal to 33,196. It can be concluded that the motivation of work ad training is influential in improving the performance of employees within the Department of Education and Culture of Padang Pariaman Regency.

Sexual Satisfaction among Married Women Age 50 and Older

2000 ◽  
Vol 86 (3_part_2) ◽  
pp. 1107-1122
Author(s):  
Michael Young ◽  
George Denny ◽  
Tamera Young ◽  
Raffy Luquis
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sexual Satisfaction ◽  
Married Women ◽  
Return Rate ◽  
Predictor Variables ◽  
Hierarchical Multiple Regression ◽  
Item Questionnaire ◽  
Stratified Sample

Correlates of sexual satisfaction were identified in a sample of older married women. A 70-item questionnaire was mailed to an age-stratified sample of 5,000 married persons, including 1,000 married women over the age of 50. Usable questionnaires were received from 148 participants (14.8% return rate). Hierarchical multiple regression analysis, using sexual satisfaction as the dependent variable, yielded five predictor variables that accounted for a significant portion of the variation in sexual satisfaction (Cumulative R2 = .73). These results serve as a reminder that sexual interactions cannot be compartmentalized but must be considered within the context of the overall marriage relationship. Given the low return rate, interpretations should be limited until replication with an adequate sample has been completed.

scholarly journals The Effect of Recruitment and Training on Commitment and Performance of Village Business Entity (Bumdes) Management in Kampar Regency Riau Province

2020 ◽  
Vol 2 (2) ◽  
pp. 135-146
Author(s):  
Novianti Zalukhu ◽  
Susi Hendriani ◽  
Kurniawaty Fitri
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Influence ◽  
Sampling Method ◽  
Sampling Technique ◽  
Primary Data ◽  
Purposive Sampling ◽  
And Performance ◽  
And Training

This study aims to determine the effect of recruitment and training on the commitment and performance of Village Bussiness Entity managers in Kampar district. The population in this study were all managers who were members of Village Bussiness Entity in Kampar Regency. Primary data in this study were collected by using questionnaire as research instrument to prove the results of the study. Multiple regression analysis with the assistance of the SPSS program was used to test the hypothesis in this study. The sampling technique was purposive sampling method (30 Village Bussiness Entity in 30 Kampar District Villages). The results showed that: 1) There's is positive and significant influence between recruitment and commitment of Village Bussiness Entity, 2) There was positive but not significant effect between training and commitment of Village Bussiness Entity managers, 3) There is positive and simultaneously significant effect between recruitment and training towards Village Bussiness Entity, 4) There is positive and significant effect between the commitment and performance of Village Bussiness Entity.

Sexual Satisfaction among Married Women Age 50 and Older

2000 ◽  
Vol 86 (3_suppl) ◽  
pp. 1107-1122 ◽  
Author(s):  
Michael Young ◽  
George Denny ◽  
Tamera Young ◽  
Raffy Luquis
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sexual Satisfaction ◽  
Married Women ◽  
Return Rate ◽  
Predictor Variables ◽  
Hierarchical Multiple Regression ◽  
Item Questionnaire ◽  
Stratified Sample

Correlates of sexual satisfaction were identified in a sample of older married women. A 70-item questionnaire was mailed to an age-stratified sample of 5,000 married persons, including 1,000 married women over the age of 50. Usable questionnaires were received from 148 participants (14.8% return rate) Hierarchical multiple regression analysis, using sexual satisfaction as the dependent variable, yielded five predictor variables that accounted for a significant portion of the variation in sexual satisfaction (Cumulative R2 = .73). These results serve as a reminder that sexual interactions cannot be compartmentalized but must be considered within the context of the overall marriage relationship. Given the low return rate, interpretations should be limited until replication with an adequate sample has been completed.

Assessment of General Aviation Cognitive Weather Tasks: Recommendations for Autonomous Learning and Training in Aviation Weather

2017 ◽  
Vol 61 (1) ◽  
pp. 1861-1865 ◽  
Author(s):  
Yolanda Ortiz ◽  
Beth Blickensderfer ◽  
Jayde King
Keyword(s):  
General Aviation ◽  
Autonomous Learning ◽  
Flight Safety ◽  
Training Module ◽  
Accident Rate ◽  
Training Tool ◽  
Self Study ◽  
Accident Data ◽  
And Training ◽  
Aviation Weather

General aviation (GA) operations incur the majority of fatal weather-related accidents. Previous research highlights the lack of aviation weather knowledge and skills as a possible contributing factor to the stagnant GA weather-related accident rate. This is congruent with accident data indicating weather-related accidents mostly involved non-instrument rated pilots and/or pilots with low flight hour experience flying into inadvertent meteorological conditions, such as low ceiling/visibility. However, though weather has serious and potentially fatal implications toward flight safety, weather training is an underrepresented area of pilots’ education, training, and testing. As such, autonomous (i.e. self-study) learning and training may be a viable training tool to expose pilots to various weather scenarios and to develop the knowledge, skills, and abilities (KSAs) related to aviation weather. This paper will focus on evaluating complex cognitive weather tasks and providing recommendations for developing an effective autonomous learning and training module.

The Importance of Structure Coefficients in Regression Research

1985 ◽  
Vol 45 (2) ◽  
pp. 203-209 ◽  
Author(s):  
Bruce Thompson ◽  
Gloria M. Borrello
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Experimental Research ◽  
Predictor Variables

Multiple regression analysis is frequently and increasingly being employed in both experimental and non-experimental research. However, when data include predictor variables that are correlated, either unavoidably or due to conscious design choices, some regression results can become difficult to interpret. The paper presents an actual study to provide a heuristic demonstration that structure coefficients may be helpful in these cases.

Prediction of production: Elicited imitation and spontaneous speech productions of language disordered children

1983 ◽  
Vol 4 (4) ◽  
pp. 317-343 ◽  
Author(s):  
Margaret Lahey ◽  
Patricia B. Launer ◽  
Naomi Schiff-Myers
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Predictor Variables ◽  
Criterion Variable ◽  
Elicited Imitation ◽  
Language Impaired ◽  
Spontaneous Production ◽  
Contextual Support ◽  
Impaired Children

ABSTRACTTwo forms of an imitation task designed to elicit eleven language behaviors were presented to 32 language impaired children (mean age 7;4, mean MLU 2.9). The tasks differed in terms of the presence or absence of contextual support. To determine how well the imitation tasks could predict spontaneous productions, a multiple regression analysis was performed using the children's spontaneous productions of each behavior as the criterion variable and responses to the same behaviors on each imitation task plus age, sex, MLU, and a measure of memory as predictor variables. The major finding was that predictions of spontaneous production varied among the eleven language behaviors. Additionally, the presence of contextual support had little effect.

Assessing General Aviation Pilots’ Interpretation of Weather Products: Traditional and New Automated Generation Products

2017 ◽  
Vol 61 (1) ◽  
pp. 94-98
Author(s):  
Jayde M. King ◽  
Yolanda Ortiz ◽  
Thomas Guinn ◽  
John Lanicci ◽  
Beth L. Blickensderfer ◽  
...  
Keyword(s):  
Decision Making ◽  
General Aviation ◽  
Aviation Accidents ◽  
Automated Generation ◽  
Human In The Loop ◽  
Product Generation ◽  
Aviation Pilots ◽  
And Training ◽  
Hazardous Weather ◽  
Aviation Weather

The General Aviation (GA) community accounts for the majority of weather related aviation accidents and incidents. Interpreting and understanding weather products is crucial to hazardous weather avoidance, and previous studies have indicated that improving usability of weather products can improve pilot decision making. The Aviation Weather Center offers two broad types of graphical weather products for assessing icing, turbulence and flight category. These are traditional human-in-the-loop products (G-AIRMETs Ice, Tango, and Sierra) and fully-automated products (CIP/FIP, GTG, and CVA). This study assessed and compared pilots’ understanding of the fully-automated products in comparison to the human-in-loop products. Participants (n=131) completed a set of weather product interpretation questions. A series of mixed ANOVAs were conducted to analyze the effects of pilot certificate and/or rating (Student, Private, Private with Instrument, Commercial with Instrument) and product generation (traditional vs. automated) on product interpretation score. Results indicated that, despite product generation, pilots performed similarly on the icing and ceiling/visibility products, but performed significantly better on the new fully automated turbulence product (GTG) than when using the traditional turbulence product (AIRMET Tango). Usability and training implications are discussed.

scholarly journals The influence of compensation, training and development on organisational citizenship behaviour

2021 ◽  
Vol 47 ◽  
Author(s):  
Portia M. Manenzhe ◽  
Hlanganipai Ngirande
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
South African ◽  
Academic Staff ◽  
Training And Development ◽  
Higher Learning ◽  
Institutions Of Higher Learning ◽  
Significant Difference ◽  
And Training

Orientation: Extra role behaviours, also known as organisational citizenship behaviours, are very important for an organisation’s success. Organisational objectives can be efficiently achieved when employees are willing to do work that is beyond their job description. Organisations with employees with high organisational citizenship behaviour have a competitive advantage and are highly productiveResearch purpose: The study investigated the influence of compensation and training and development on organisational citizenship behaviour amongst academic staff at a rural-based South African institution of higher learning.Motivation for the study: Research on the influence of compensation and training and development on organisational citizenship behaviour is not new. However, the studies were carried out in different sectors outside South Africa. There is still scant information known about citizenship behaviour in the higher education sector in general and in South African rural-based institutions of higher learning in particular.Research approach/design and method: The study was based on a quantitative approach, which used a cross-sectional research design. A sample of 152 academic staff participated in this study. Data were gathered using a self-administered questionnaire. Descriptive statistics, correlation and multiple regression analysis technique were conducted using Statistical Package for Social Sciences (SPSS) version 26.0.Main findings: The findings revealed a significant relationship between compensation and organisational citizenship behaviour. A significant correlation was also found between training and development and organisational citizenship behaviour. However, in multiple regression analysis, compensation was found to be the only predictor of organisational citizenship behaviour. Moreover, no significant difference in levels of organisational citizenship behaviour between men and women was found.Practical/managerial implications: The management of the institution should continuously review its compensation or rewards policies to enhance organisational citizenship behaviour amongst the academic staff. Institutions of higher learning should also compensate their employees and develop them fairly regardless of gender in order to promote organisational citizenship behaviour.Contribution/value-add: The study’s findings will assist the university management in making strategic decisions on compensation systems and staff development that will enhance the citizenship behaviour of the academic staff.

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