Datasets Comparison

The data is based on online survey conducted at a global scale. The survey shows a total of 356 responses, of which 204 (57.3%) are females, and 152 (42.70%) are males. Of the respondents, 139 (39.04%) work in the education sector as teachers, academicians, lab instructors, course assistants and the remainder in other occupations. The aim of the data is to determine the participants' behaviour regarding the psychological factors that effect their decision-making styles. These factors are defined as Rationality, Intuitive Awareness, Decision Freedom, Cautiousness, Pro-Activity, Emotion-Neutrality, Decision Difficulty, Comfortability, Goal-Orientation, Plan-Orientation. The data reveals how these factors change between gender, age group, occupation, education, and location.

Decision Sciences, Decision Making, Decision-Making Model

Creative Commons Attribution 4.0 International

The data is based on an online survey conducted at a worldwide scale. There are a total of 356 participants. There is a relatively balanced gender ratio where 204 (57.3%) of the respondents are females, and 152 (42.70%) are male. 139 (39.04%) of the survey participants work in the education sector as educators, academicians, lab teachers, course coordinators. The rest of the participants belong to different occupations. The point of the survey is to identify the factors that affect the decision-makers' basic leadership styles. These factors are characterized as Rationality, Intuitive Awareness, Decision Freedom, Cautiousness, Pro-Activity, Emotion-Neutrality, Decision Difficulty, Comfortability, Goal-Orientation, Plan-Orientation. The information uncovers how these factors change with respect to socio-demograprahic differences such as gender, age, education, location, and occupational sector.

Decision Sciences, Decision Making, Decision-Making Model

Creative Commons Attribution 4.0 International