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Project
Description: This is the study's data set on the survey responses of the 3 variables.
Project
Description: The analysis of narratives often accompanies comprehensive language assessments of students. While analyzing narratives can be time-consuming and labor-intensive, recent advances in large language models (LLMs) indicate that it may be possible to automate this process.
Project
Description: The aim of the research was to understand the role of self-esteem in influencing the relationship between parenting styles and social adjustment in young adults.
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: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The test data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The training data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The tworaters data set was drawn randomly from the larger corpus of narrative language samples. These samples were scored by two raters for reliability purposes.
Dataset
Part of Project: Perceived Parenting Styles, Self-esteem, Social Adjustment- Indian young adults
Description: The dataset contains the demographics (age, gender, educational qualification, socioeconomic background, and marital status) of 306 young adults (18 to 30 years), along with the coded item scores and results on the psychometrics related to perceived parenting styles, self-esteem, and social adjustment.
