Advanced Air Mobility (AAM) is emerging as a potential public transit option, yet little is known about how psychological attitudes would shape demand for AAM relative to established modes. This study estimates an Integrated Choice and Latent Variable (ICLV) model of mode choice using a stated-preference survey of 662 Australian respondents, yielding 3,972 choice observations across AAM, Public Transit, and Car Taxi alternatives under varied weather conditions, trip purposes, and residential settings. Twenty-one Likert-scale attitudinal items were reduced via confirmatory factor analysis (CFA) to five latent constructs: Safety & Technology Concern, Environmental & Social Concern, Service Quality Concern, Pro-Innovation Preference, and Infrastructure & Brand Trust. A secondary ICLV model is created to observe the binary choice between human-driven and autonomous AAM variants. Results show that latent attitudes dominate level-of-service attributes in shaping AAM choice: Pro-Innovation Preference strongly increases AAM uptake, while Safety & Technology Concern and Service Quality Concern substantially reduce it. Adverse weather produces large, significant disutility for AAM. For the autonomy choice, level-of-service attributes are statistically insignificant, and decisions are driven almost entirely by attitudes, with regional respondents more averse to autonomous variants. The findings highlight that AAM uptake will depend more on managing attitudinal barriers, safety perception, service reliability, and trust than on marginal improvements in travel time or fare.