Validation of an Operationalized Model of Iso-Ahola’s Theory of Tourism Motivation: A Case in Point-to-Point Suborbital Space Travel

The purpose of the study was to validate Snepenger, King, Marshall, and Uysal’s (2006) model of Iso-Ahola’s (1982) theory of tourism motivation for use in point-to-point suborbital space tourism research. No previous research was discovered, which assessed point-to-point suborbital space flight within the theoretical foundation of the theory of tourism motivation. Snepenger et al.’s (2006) model was assessed as published, and exploratory factor analysis (EFA) failed to produce data fitting the four dimensions. The researchers modified the item descriptions based on research. Using a second sample, the modified model was assessed. EFA produced four factors with adequate convergent and discriminant validity. Confirmatory factor analysis produced good model fit with adequate construct validity. The study validated the operationalized model of the theory of tourism motivation in United States participants providing a valid and reliable scale for use in future suborbital space travel research

What Factors Influence the Imposter Phenomenon amongst Collegiate Flight Students?

The need for commercial airline pilots has been increasing significantly, and with the mandatory retirements projected in the next decade, the airline pilot workforce will have an injection of younger pilots. Previous research has studied the effects and prevalence of the Imposter Phenomenon (IP) in young professionals, especially graduate students, and academics. The phenomenon is particularly prevalent for female graduate students and academics. The purpose of this study is to observe the prevalence of the Imposter Phenomenon in collegiate pilots. Participants for the study are recruited from amongst collegiate flight students enrolled in a 4-year aviation university in Florida. A multiple regression analysis using backward stepwise regression will be employed to determine which factors influence the presence of Imposter Phenomenon in collegiate Part 141 pilots. 11 factors are tested as potential predictors (independent variables) in the study. These are age, gender, ethnicity, education level, total flight hours, pilot certification level, personality, measure of self-efficacy, measure self-handicapping, and perceived organizational support. The dependent variable will the participants level of Imposter Phenomenon, measured by using the 20-question validated Clance (1985) Imposter Phenomenon scale. The data collection process in currently underway, with the data analysis and results being completed and compiled by the end of 2019. This is an initial study in a line of future studies seeking to collect data from outside the collegiate pilot population, with the objective of creating a prediction model of Imposter Phenomenon within the United States pilot population

What Factors Influence the Imposter Phenomenon amongst Collegiate Flight Students?

The need for commercial airline pilots has been increasing significantly, and with the mandatory retirements projected in the next decade, the airline pilot workforce will have an injection of younger pilots. Previous research has studied the effects and prevalence of the Imposter Phenomenon (IP) in young professionals, especially graduate students, and academics. The phenomenon is particularly prevalent for female graduate students and academics. The purpose of this study is to observe the prevalence of the Imposter Phenomenon in collegiate pilots. Participants for the study are recruited from amongst collegiate flight students enrolled in a 4-year aviation university in Florida. A multiple regression analysis using backward stepwise regression will be employed to determine which factors influence the presence of Imposter Phenomenon in collegiate Part 141 pilots. 11 factors are tested as potential predictors (independent variables) in the study. These are age, gender, ethnicity, education level, total flight hours, pilot certification level, personality, measure of self-efficacy, measure self-handicapping, and perceived organizational support. The dependent variable will the participants level of Imposter Phenomenon, measured by using the 20-question validated Clance (1985) Imposter Phenomenon scale. The data collection process in currently underway, with the data analysis and results being completed and compiled by the end of 2019. This is an initial study in a line of future studies seeking to collect data from outside the collegiate pilot population, with the objective of creating a prediction model of Imposter Phenomenon within the United States pilot population

What Factors Influence the Imposter Phenomenon amongst Collegiate Flight Students?

The need for commercial airline pilots has been increasing significantly, and with the mandatory retirements projected in the next decade, the airline pilot workforce will have an injection of younger pilots. Previous research has studied the effects and prevalence of the Imposter Phenomenon (IP) in young professionals, especially graduate students, and academics. The phenomenon is particularly prevalent for female graduate students and academics. The purpose of this study is to observe the prevalence of the Imposter Phenomenon in collegiate pilots. Participants for the study are recruited from amongst collegiate flight students enrolled in a 4-year aviation university in Florida. A multiple regression analysis using backward stepwise regression will be employed to determine which factors influence the presence of Imposter Phenomenon in collegiate Part 141 pilots. 11 factors are tested as potential predictors (independent variables) in the study. These are age, gender, ethnicity, education level, total flight hours, pilot certification level, personality, measure of self-efficacy, measure self-handicapping, and perceived organizational support. The dependent variable will the participants level of Imposter Phenomenon, measured by using the 20-question validated Clance (1985) Imposter Phenomenon scale. The data collection process in currently underway, with the data analysis and results being completed and compiled by the end of 2019. This is an initial study in a line of future studies seeking to collect data from outside the collegiate pilot population, with the objective of creating a prediction model of Imposter Phenomenon within the United States pilot population