Self-directedinformation literacy scale: A comprehensive validation study

被引:4
|
作者
Douglas, Kerrie A. [1 ]
Fernandez, Todd [2 ]
Fosmire, Michael [3 ]
Van Epps, Amy S. [4 ]
Purzer, Senay [1 ]
机构
[1] Purdue Univ, Sch Engn Educ, 516 Northwestern Ave, W Lafayette, IN 47906 USA
[2] Georgia Inst Technol, Wallace H Coulter Dept Biomed Engn, Atlanta, GA 30332 USA
[3] Purdue Univ, Lib & Sch Informat Studies, W Lafayette, IN 47907 USA
[4] Harvard Sci Ctr, Cabot Sci Lib, Cambridge, MA USA
基金
美国国家科学基金会;
关键词
assessment; confirmatory factor analysis; engineering design; engineering students; information literacy; measurement invariance; self-directed learning theory; INFORMATION LITERACY; ENGINEERING-EDUCATION; VALIDITY; STUDENTS; DESIGN; SKILLS; RELIABILITY; SEEKING;
D O I
10.1002/jee.20355
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Background Engineering and technology students need to acquire, evaluate, apply, and document information to solve complex ill-defined problems. However, there are few assessment tools to evaluate how these students approach information. Purpose The authors integrated information literacy standards with self-directed learning theory to create the self-directed information literacy (SIL) scale as an assessment of students' self-directedness using high-quality information skills in engineering projects. The purpose of this research is to examine the measurement properties of SIL to inform the use and interpretation of SIL's scores among diverse learners. Method The authors administered SIL to first-year engineering and technology students (n= 1,603). To test three hypotheses about SIL scores related to validity, reliability, and fairness, we conducted a series of psychometric analyses, including confirmatory factor analysis (CFA) and measurement invariance between groups. Results The results of the CFA were acceptable for the proposed higher-order factor structure of SIL and a separateBeginner Behaviorfactor. Measurement models for male and female scores were found invariant; however, there were measurement differences between groups of students based on their experience with instruction in the English language. Conclusions SIL can be scored to assess engineering and technology students' specific SIL subfactors (Recognize,Seek,Evaluate,Apply,Document, andReflect) or scored as an overall broader measure of self-directedness with information. A separate factor,Beginner Behavior, can be used to moderate ceiling effects. SIL scores can be used for gender comparisons but should be carefully evaluated when the sample includes students who are new to curriculum and instruction in the English language.
引用
收藏
页码:685 / 703
页数:19
相关论文
共 50 条
  • [31] Validation of an Arabic version of the short form of the health literacy in dentistry scale: a cross-sectional study
    Alzeer, Muneera Essa
    Aljameel, AlBandary Hassan
    Rosing, Kasper
    Ozhayat, Esben Boeskov
    BMC ORAL HEALTH, 2024, 24 (01):
  • [32] Electronic Health Literacy Scale-Web3.0 for Older Adults with Noncommunicable Diseases: Validation Study
    Cai, Wenfei
    Liang, Wei
    Liu, Huaxuan
    Zhou, Rundong
    Zhang, Jie
    Zhou, Lin
    Su, Ning
    Zhu, Hanxiao
    Yang, Yide
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2024, 26
  • [33] Validation of the Coping with Stress Self-Efficacy Scale in university students
    Pereyra Girardi, Carolina Iris
    Paez Vargas, Natalia
    Ronchieri Pardo, Carla del Valle
    Agustina Trueba, Daniela
    REVISTA DE PSICOLOGIA PUCP, 2019, 37 (02): : 473 - 493
  • [34] Validation of the Korean Parental Depression Literacy Scale
    Jeong, Yoo Mi
    Hughes, Tonda L.
    McCreary, Linda
    Johnson, Timothy P.
    Park, Chang
    Choi, Heeseung
    INTERNATIONAL JOURNAL OF MENTAL HEALTH NURSING, 2018, 27 (02) : 712 - 726
  • [35] Development and validation of New Media Literacy Scale (NMLS) for university students
    Koc, Mustafa
    Barut, Esra
    COMPUTERS IN HUMAN BEHAVIOR, 2016, 63 : 834 - 843
  • [36] Validation of the extended e-health literacy scale: structural validity, construct validity and measurement invariance
    Petric, Gregor
    Atanasova, Sara
    BMC PUBLIC HEALTH, 2024, 24 (01)
  • [37] Essaying the design, development and validation processes of a new digital literacy scale
    Reddy, Pritika
    Chaudhary, Kaylash
    Sharma, Bibhya
    Hussein, Shamina
    ONLINE INFORMATION REVIEW, 2023, 47 (02) : 371 - 397
  • [38] Mental health literacy scale: validation in Southern Chilean University Students
    Salinas-Ofiate, Natalia
    Gomez-Perez, Daniela
    Andrade, Vicente Cancino
    Bustamante, Marcoantonio Villanueva
    Neira-Vallejos, Sebastian
    Petersen, Cecilia San Martin
    REVISTA COSTARRICENSE DE PSICOLOGIA, 2025, 44 (01):
  • [39] Expectancy Value Scale on Information Technology: A Validation Study
    Du, Jianxia
    Xu, Jianzhong
    Liu, Fangtong
    ASIA-PACIFIC EDUCATION RESEARCHER, 2019, 28 (05) : 447 - 455
  • [40] Multimodal Literacy Scale: A Study of Validity and Reliability
    Bulut, Berker
    Ulu, Hacer
    Kan, Adnan
    EURASIAN JOURNAL OF EDUCATIONAL RESEARCH, 2015, (61): : 45 - 60