Repository logo
 

A policy-capturing study of preferences for differing training factors

Simple item page
dc.contributor.authorWillis, Colin, author
dc.contributor.authorKraiger, Kurt, advisor
dc.contributor.authorCleary, Anne, committee member
dc.contributor.authorFisher, Gwen, committee member
dc.contributor.authorMaynard, Travis, committee member
dc.date.accessioned2017-01-04T22:59:21Z
dc.date.available2017-01-04T22:59:21Z
dc.date.issued2016
dc.description.abstractThe present study applied policy-capturing, a methodology in which subjects act as their own control, to assess the utility of 32 different training scenarios. These scenarios were composed from levels of four different cues, or components, of training: whether the trainee was a new hire or tenured employee, whether the training content taught human or technical skills, whether the training method was classroom-based, computer-based, a blend of the two, or mobile-based, and whether the learning occurred individually or as part of a group. These cues were fully crossed to build the scenarios, so that participants saw every possible combination of the cues across the scenarios. Participants, who on average reported working fulltime, being with their organization for at least six years, and taking over 30 training courses across their career, were asked to rate these scenarios on how useful the training would be for them and for their job and to give an overall rating to the scenario. Additionally, participants reported their prior training experience, motivation to learn, role conflict, role overload, role ambiguity, and age. It was hypothesized that: (a) Each cue would each explain a significant proportion of variance in scenario ratings; (b) participants would combine cues interactively, and these interaction terms would explain a significant proportion of variance in scenario ratings; (c) more motivated to learn participants would combine cues interactively more frequently than less motivated participants; (d) more potentially stressed individuals would prefer less restrictive training methods (i.e., computer-based or mobile-based methods); (e) more experienced participants would combine cues interactively more frequently than less experienced participants; and (f) scenario ratings would decrease as age increased. Results were modeled at two levels – between and within subjects – and the results supported the notion that potential trainees have stable preferences for different training scenarios, these preferences vary across prior training experience and motivation to learn, and conceptions about training are formed prior to training. These results support the future exploration of training preferences, specifically how other cues might influence preferences, whether these preferences influence later training evaluations, and whether designing future training to match, even generally, the preferences of trainees improves training learning or transfer outcomes.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierWillis_colostate_0053N_13984.pdf
dc.identifier.urihttp://hdl.handle.net/10217/178940
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleA policy-capturing study of preferences for differing training factors
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplinePsychology
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Willis_colostate_0053N_13984.pdf
Size:
426.3 KB
Format:
Adobe Portable Document Format
Download

Collections

2000-2019
Theses and Dissertations