東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Grit: Measurement and Prediction of ...

Flynn, Meghan N.

Linked to FindBook

Google Book

Amazon

博客來

Grit: Measurement and Prediction of Academic & Professional Success Among Diverse, High-Achieving STEM Scholars.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Grit: Measurement and Prediction of Academic & Professional Success Among Diverse, High-Achieving STEM Scholars./
Author:	Flynn, Meghan N.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:	166 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-11, Section: A.
Contained By:	Dissertations Abstracts International85-11A.
Subject:	Quantitative psychology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31243359
ISBN:	9798382749907

Grit: Measurement and Prediction of Academic & Professional Success Among Diverse, High-Achieving STEM Scholars.
Flynn, Meghan N.

Grit: Measurement and Prediction of Academic & Professional Success Among Diverse, High-Achieving STEM Scholars. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 166 p.

Source: Dissertations Abstracts International, Volume: 85-11, Section: A.

Thesis (Ph.D.)--University of Maryland, Baltimore County, 2024.

Grit, defined as perseverance and passion for long-term goals, has garnered attention in educational research for its potential to predict academic achievement and well-being. Despite this, its psychometric properties and applicability across diverse populations remain underexplored. This study aims to validate the Grit-O scale and explore its relations with various psychosocial and academic outcomes among underrepresented undergraduate STEM scholars. Analyses utilized a mixed-methods approach, including confirmatory and exploratory factor analyses, bivariate correlations, and moderated multiple regression analyses.Results indicate that the Grit-O scale did not demonstrate adequate fit in its original form. However, an amended 11-item scale comprising two correlated factors (perseverance and consistency) showed improved fit and was retained for further analysis. Exploratory analyses revealed consistent factor structures across binary gender groups, suggesting scale robustness across gender identities.Neither perseverance nor consistency significantly predicted entry into a STEM graduate program. The intricate relationship between grit and various academic and psychosocial outcomes offers valuable insights into the influence of perseverance and consistency. Correlations and moderated multiple regression analyses highlight nuanced associations between grit dimensions and academic and mental health outcomes.This study sheds light on Grit-O's psychometric properties, but its utility for measuring academic achievement remains inconclusive. The mixed findings underscore the need for continued psychometric scrutiny and a nuanced understanding of academic achievement dynamics, particularly for underrepresented groups. Future grit research should prioritize rigorous validation of the measure to ensure that the model appropriately fits the population and can be reliably used to draw meaningful conclusions.

ISBN: 9798382749907Subjects--Topical Terms:

2144748
Quantitative psychology.
Subjects--Index Terms:

Confirmatory factor analysis

Grit: Measurement and Prediction of Academic & Professional Success Among Diverse, High-Achieving STEM Scholars.
LDR:03243nmm a2200421 4500 001 2398229
005 20240812064409.5
006 m o d
007 cr#unu||||||||
008 251215s2024 ||||||||||||||||| ||eng d
020 $a 9798382749907
035 $a (MiAaPQ)AAI31243359
035 $a AAI31243359
040 $a MiAaPQ $c MiAaPQ
100 1 $a Flynn, Meghan N. $3 3768141
245 1 0 $a Grit: Measurement and Prediction of Academic & Professional Success Among Diverse, High-Achieving STEM Scholars.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 166 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-11, Section: A.
500 $a Advisor: Pitts, Steven;Sto. Domingo, Mariano R.
502 $a Thesis (Ph.D.)--University of Maryland, Baltimore County, 2024.
520 $a Grit, defined as perseverance and passion for long-term goals, has garnered attention in educational research for its potential to predict academic achievement and well-being. Despite this, its psychometric properties and applicability across diverse populations remain underexplored. This study aims to validate the Grit-O scale and explore its relations with various psychosocial and academic outcomes among underrepresented undergraduate STEM scholars. Analyses utilized a mixed-methods approach, including confirmatory and exploratory factor analyses, bivariate correlations, and moderated multiple regression analyses.Results indicate that the Grit-O scale did not demonstrate adequate fit in its original form. However, an amended 11-item scale comprising two correlated factors (perseverance and consistency) showed improved fit and was retained for further analysis. Exploratory analyses revealed consistent factor structures across binary gender groups, suggesting scale robustness across gender identities.Neither perseverance nor consistency significantly predicted entry into a STEM graduate program. The intricate relationship between grit and various academic and psychosocial outcomes offers valuable insights into the influence of perseverance and consistency. Correlations and moderated multiple regression analyses highlight nuanced associations between grit dimensions and academic and mental health outcomes.This study sheds light on Grit-O's psychometric properties, but its utility for measuring academic achievement remains inconclusive. The mixed findings underscore the need for continued psychometric scrutiny and a nuanced understanding of academic achievement dynamics, particularly for underrepresented groups. Future grit research should prioritize rigorous validation of the measure to ensure that the model appropriately fits the population and can be reliably used to draw meaningful conclusions.
590 $a School code: 0434.
650 4 $a Quantitative psychology. $3 2144748
650 4 $a Statistics. $3 517247
650 4 $a Mental health. $3 534751
650 4 $a Science education. $3 521340
650 4 $a Educational psychology. $3 517650
650 4 $a Social psychology. $3 520219
653 $a Confirmatory factor analysis
653 $a Exploratory factor analysis
653 $a Grit
653 $a Measurement invariance
653 $a Psychometric properties
690 $a 0632
690 $a 0463
690 $a 0347
690 $a 0714
690 $a 0525
690 $a 0451
710 2 $a University of Maryland, Baltimore County. $b Psychology. $3 1044538
773 0 $t Dissertations Abstracts International $g 85-11A.
790 $a 0434
791 $a Ph.D.
792 $a 2024
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31243359