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Development and Validation of Scores on a Measure to Appraise Student-Teacher Relationships in a Remote Learning Environment : = Validation of the Virtual Learning Assessment.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development and Validation of Scores on a Measure to Appraise Student-Teacher Relationships in a Remote Learning Environment :/
其他題名:	Validation of the Virtual Learning Assessment.
作者:	Montalvo, Federico (Fred).
面頁冊數:	1 online resource (137 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-03, Section: A.
Contained By:	Dissertations Abstracts International84-03A.
標題:	Educational technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29261169click for full text (PQDT)
ISBN:	9798845419552

Development and Validation of Scores on a Measure to Appraise Student-Teacher Relationships in a Remote Learning Environment : = Validation of the Virtual Learning Assessment.
Montalvo, Federico (Fred).

Development and Validation of Scores on a Measure to Appraise Student-Teacher Relationships in a Remote Learning Environment :Validation of the Virtual Learning Assessment. - 1 online resource (137 pages)

Source: Dissertations Abstracts International, Volume: 84-03, Section: A.

Thesis (Ph.D.)--New Mexico State University, 2022.

Includes bibliographical references

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, χ2 (323) = 770.01, p < .001, χ2/df = 2.38; CFI = .88; RMSEA = .07, 90% CI (.06, .07); and SRMR = .05. In addition, the 2-factor solution indicated a Normative Fit Index (NFI = .81), Tucker-Lewis Index (TLI = .87). Values for this statistic range between 0 and 1 with Bentler and Bonnet (1980) recommending values greater than .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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845419552Subjects--Topical Terms:

517670
Educational technology.
Subjects--Index Terms:

Remote learningIndex Terms--Genre/Form:

542853
Electronic books.

Development and Validation of Scores on a Measure to Appraise Student-Teacher Relationships in a Remote Learning Environment : = Validation of the Virtual Learning Assessment.
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520 $a 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, χ2 (323) = 770.01, p < .001, χ2/df = 2.38; CFI = .88; RMSEA = .07, 90% CI (.06, .07); and SRMR = .05. In addition, the 2-factor solution indicated a Normative Fit Index (NFI = .81), Tucker-Lewis Index (TLI = .87). Values for this statistic range between 0 and 1 with Bentler and Bonnet (1980) recommending values greater than .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.
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