Degree

Doctor of Philosophy (PhD)

Department

Leadership & Human Resource Development

Document Type

Dissertation

Abstract

The purpose of this study was to examine the effect of perceived supervisor support as well as perceived peer support on training transfer behavior outcomes for frontline nursing staff in post-COVID 19 technology-mediated training environments.

This study was guided by the following primary research question: what effect does training delivery, perceived supervisor support, and perceived peer support have on training transfer behavior? The secondary question to further examination of these variables is: How do these factors interact to enhance or inhibit transfer in the context of nurse training?

This study sampled U.S. based registered nurses trained in COVID-19 related protocols. Questionnaire data were collected to assess training transfer behavior, training delivery type, supervisor support, and peer support (N= 243).

Multiple linear regression along with RWA was conducted for Hypothesis 1 to examine the degree of relationship between training delivery types and TTB. Results revealed a ranking from weakest to strongest as follows: VR based training delivery, video-based training delivery, and OTJ training delivery. Multiple linear regression was also carried out for Hypothesis 2 to examine the existence of relationship between both social support types and TTB. Results revealed confirmation of a positive association between supervisor support and TTB as well as peer support and TTB.

CFA was conducted to determine overall fit of the measurement model created to test the moderator effects predicted in hypothesis 3. Model fit was determined using the following indices: χ2, df, χ2/df, CFI, RMSEA, and SRMR. Initial CFA results did not indicate a need to remove scale items in order to improve model fit, however, drawing of covariances between error terms of certain scale items did improve fit. Additional covariances were drawn between two sets of items within the supervisor support scale. The final overall measurement model reflected a good fit to the sample data (χ2 /df=1.337, CFI=0.983, RMSEA=0.037 with LO90 of 0.022 and HI90 of 0.051, SRMR=0.044).

Structural equation modeling was conducted to test the moderation effect relationships hypothesized between variables. Testing was done at high and low levels of the moderators, supervisor support and peer support. No significant interaction effects were found, however, 2 relationships reached near significant values. The interaction effect between OTJ training delivery and low-level supervisor support had a p-value of 0.106 and the effect between video-based delivery and high-level peer support had a p-value of 0.054 (p-values compared to benchmark value of p < 0.05).

Date

7-16-2024

Committee Chair

Tracey Rizzuto

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Available for download on Wednesday, July 16, 2025

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