ERIC Number: ED647615
Record Type: Non-Journal
Publication Date: 2022
Pages: 137
Abstractor: As Provided
ISBN: 979-8-8454-1955-2
ISSN: N/A
EISSN: N/A
Development and Validation of Scores on a Measure to Appraise Student-Teacher Relationships in a Remote Learning Environment: Validation of the Virtual Learning Assessment
Federico (Fred) Montalvo
ProQuest LLC, Ph.D. Dissertation, New Mexico State University
The purpose of this dissertation was to validate scores for a new survey tool, The Virtual Learning Assessment. This 53-item measure was designed with the intent that if scores are validated it could provide a means in which student-teacher relationships and the attributes that enhance those relationships in a remote setting could be assessed. To test the validity of the this newly designed measure 532 Middle School students were asked to rate the level of impact specific teacher actions had on middle school student's relationship with a teacher while in a remote learning environment. This survey was developed during the COVID-19 pandemic, and the survey was distributed electronically during students first semester back in face-to-face learning. Results revealed a 2-factor solution, these two factors were named, teachers' support for students' social-emotional well-being (factor 1) and personalized learning for students (factor 2). Confirmatory Factor Analysis revealed an acceptable-to questionable fit, with the data based on the guidelines provided by Dimitrov (2012) and Schreiber et al. (2006), CMIN, X[superscript 2] (323) = 770.01, p < 0.001, X[superscript 2]/df = 2.38; CFI = 0.88; RMSEA = 0.07, 90% CI (0.06, 0.07); and SRMR = 0.05. In addition, the 2-factor solution indicated a Normative Fit Index (NFI = 0.81), Tucker-Lewis Index (TLI = 0.87). Values for this statistic range between 0 and 1 with Bentler and Bonnet (1980) recommending values greater than 0.90 indicating a good fit (Hooper & Mullen, 2008). The preliminary attempt to validate scores on the Virtual Learning Assessment suggests that while a true latent structure does exist amongst the data set with a 2-factor solution, further refinement of the survey items is necessary before further use of the measure in conducting research. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]
Descriptors: Educational Assessment, Teacher Student Relationship, Middle Schools, Distance Education, COVID-19, Pandemics, Evaluation Methods, Data Analysis, Program Validation, Validity
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A