Search results for "Factorial model"
showing 3 items of 3 documents
Statistical tools and control of internal lubricant content of inhalation grade HPMC capsules during manufacture
2016
The internal lubricant content (ILC) of inhalation grade HPMC capsules is a key factor to ensure good powder release when the patient inhales a medicine from a dry powder inhaler (DPI). Powder release from capsules has been shown to be influenced by the ILC. The characteristics used to measure this are the emitted dose, fine particle fraction and mass median aerodynamic diameter. In addition the ILC level is critical for capsule shell manufacture because it is an essential part of the process that cannot work without it. An experiment has been applied to the manufacture of inhalation capsules with the required ILC. A full factorial model was used to identify the controlling factors and from…
Validation of the Marathon Motivation Scale in Chile
2021
The objective of this work was to validate the Marathon Motivation Scale (MOMS) for its application in the Chilean context. The study used a non-experimental, descriptive and transversal design. The sample was non-probability and intentional and was composed of 250 subjects (143 male and 104 female) runners who participated in the International Marathon of Viña del Mar with an average age of 29.8 (TD = 10.1) years. For the analysis of the data, an exploratory factorial analysis was carried out with free parameters, another one with seven factors fixed to the theoretical dimensions and a confirmatory factorial analysis with the items corresponding to the MOMS model. The validity and reliabil…
The Reciprocal Influences among Motivation, Personality Traits, and Game Habits for Playing Pokémon GO
2018
This article reports a study exploring motivations of Pokémon Game use, individual differences related to personality traits, and game habits. First, it analyzed Pokémon GO motivations through exploratory factor analysis (EFA) by administering online the Pokémon GO Motivational Scale to a group of Italian gamers (N = 560). Successively, a Confirmatory Factor Analysis (CFA) was conducted testing three factorial models of Pokémon Game motivations on a selected random sample (N = 310). Results showed a three-factor model of Pokémon GO Game motivations (i.e. Personal Needs, Social Needs and Recreation), accounting for 68.9% of total variance plus a general higher order factor that best fits the…