Currents in Pharmacy Teaching and Learning

ISSN: 1877-1297
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Datasets associated with articles published in Currents in Pharmacy Teaching and Learning
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  • This file contains data related to students' demographics, their responses to questions assessing personal finance and career preferences expressed by them. Variables coding and transformations have been explained in data file. Variables Q2 to Q24 are related to questions assessing financial literacy, which have been ordered so that different questions related to the same dimension come in sequence one after another. Variables named "Transformed Q2" to "Transformed Q24" are their corresponding variables coded based on correctness of the response. Variables with name containing "eliminated ....", such as "First.choice.career.field.eliminated.rare.cases", contains modified data of another related variable with similar name, such as "First.choice.career.field", such that rare cases have been eliminated to avoid misleading statistical results.
    Data Types:
    • Software/Code
    • Dataset
  • Raw data of responses to question asked of students about what value they provided to the rotation site, plus categories assigned to each.
    Data Types:
    • Tabular Data
    • Dataset
  • The data indicates that utilizing strengths within a team improves team dynamics.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • This data shows that utilizing strengths within a team improves team dynamics.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • Data relates to OMS-HC survey administered to students pre/post didactic psychiatry coursework for pharmacy, nursing and social work students.
    Data Types:
    • Tabular Data
    • Dataset
  • Results of Professional Identity Development Curriculum Alumni Survey
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • Evaluation of concept mapping when used during disease state discussions with students on clinical rotations in their final year of pharmacy school
    Data Types:
    • Tabular Data
    • Dataset
  • Data for: There’s Got to Be a Better Way! Introducing Faculty to Small Group Instructional Diagnosis for Helpful Student Feedback and Useful Formative Peer Reviews
    Data Types:
    • Software/Code
    • Dataset
    • Document
  • Raw Data from Pre and Post Surveys
    Data Types:
    • Tabular Data
    • Dataset
  • Pre and Post Survey Design
    Data Types:
    • Dataset
    • Document
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