Self-Leadership and Associated Factors in Nursing Students
Description
This dataset includes the raw data which its article published on Nurse Educator, titled "Self-Leadership and Associated Factors in Nursing Students: An Explanatory Sequential Mixed-Methods Study" (DOI:10.1097/NNE.0000000000001762). The research questions and findings can be found in the published article. As intended, the raw dataset is made public after its publication as an article. The dataset comprises raw data derived from an extensive nationwide online survey distributed through two nursing student NGOs. The survey was conducted between June 2020 and Arpil 2022, involving 943 nursing students in Türkiye. Its objective was to assess self-leadership perceptions and the influencing factors among nursing students. The original dataset was in Turkish. To enhance accessibility, it was translated into English along with corresponding codifications. The survey covered the following key dimensions: • Assessment of nursing students' self-leadership perceptions, with the utilization of Houghton and Neck's Revised Self-Leadership Questionnaire (RSLQ). • Compilation of descriptive attributes characterizing the nursing students, encompassing variables such as age, gender, place of residence, income level, grade, overall grade point average (GPA), and employment status. • Diverse facets including previous participation in leadership or management training courses, affiliation with student clubs or non-governmental organizations (NGOs), assumption of managerial roles, involvement in scientific endeavors, and delineation of career aspirations. In our research, an examination of the normal distribution was undertaken utilizing the Kolmogorov-Smirnov test, based on the available dataset. The quantitative data analysis encompassed the utilization of various statistical parameters such as percentages, frequencies, means, medians, standard deviations, and minimum-maximum values. These parameters were applied to ascertain the descriptive attributes of the student cohort as well as the scale scores. Additionally, a comparative assessment of scale scores across distinct groups was carried out through the application of the Mann Whitney U test. To assess potential associations, the Spearman correlation coefficient was employed to investigate the interplay between age, the quantity of scientific activities undertaken, and the resultant scale scores. The predetermined threshold for statistical significance was set at p < 0.05.