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Project
Description: This is the study's data set on the survey responses of the 3 variables.
Project
Description: Raw data files on test statistics of students in our SBL class of 2022.
Dataset
Part of Project: Data set of the study "Finding Strength in time: Present-fatalistic Time Perspective's Mediating Role on Extraversion and Mental Pain Tolerance"
Description: The data set consists of survey responses from Likert scale questionnaires of 3 variables: extraversion, present-fatalistic time perspective, and mental pain tolerance. The participants were 679 Filipino participants of the general public aged 20-59 yrs.
Dataset
Part of Project: Simulation Based Learning (SBL): an engineering course on Chao Phraya River’s salinity forecasting by Mathematical Modeling
Description: The dataset contains the raw data of various learning outcomes in our SBL engineering course in 2022.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data include demographic information on the participating coaches (n = 15) and their coaching context. These data are crosssectional and include specific ego-IDs that can be used to merge with Alter and Tie datasets.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data contain perceived demographic data on named alters (by Ego) and perceived support provision. These data can be combined with Ego level data to make a nested set using key ID variables.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data are ties between alters in the network. These data are needed to visualize the complete network using ego and alter data as well.
Document
Part of Project: Simulation Based Learning (SBL): an engineering course on Chao Phraya River’s salinity forecasting by Mathematical Modeling
Description: This document is a paper submitted to a Hindawi journal of education.
Document Type: Journal Contribution