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Effect of imagery and video modelling on self-efficacy during resistance exercise

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General Information
Title
Effect of imagery and video modelling on self-efficacy during resistance exercise
Type
Article
Main Author
Thariq Khan Azizuddin Khan
Additional Authors
  • Nor Fazila Abd Malek
  • Asmadi Ishak
  • Nur Haziyanti Mohamad Khalid
  • Ali Md Nadzalan
Subject
GV Recreation Leisure
Language Code
eng
Bibliographic Details
Place of Production
Tanjong Malim
Publisher
Fakulti Sains Sukan dan Kejurulatihan
Year of publication
2016
Degree Type
Not related
Corporate Name
Universiti Pendidikan Sultan Idris

Abstract

The purpose of this study is to examine the effects of audio imagery with video modelling on participants’ self-efficacy during resistance exercise. Forty five individuals volunteered as research participant and were divided homogenously into imagery with modelling end instruction (EIM) or initial instruction (IIM) groups and a modelling only (M) as control group. During the pre-test all participants employed self-efficacy (SE) of lunges exercise. All participants were provided with the interventions (EIM, IIM, & M) during 10 minutes rest before the first post-test which, all measurements were conducted to look at the acute effects of interventions employed. Participants’ android phones were downloaded with specific intervention according to their group and they were advised to employ the intervention once a day for seven days. The second post-test was conducted consist of all measurements after seven days of intervention duration. For self-efficacy, significant results were recorded on pre-test and post-test within participants in EIM and IIM (p < 0.05), moreover, results for post-test comparing data between groups indicates significant between EIM and M groups, IIM and M groups (p < 0.05). No significant different results found comparing EIM with IIM groups. Results from this study indicate that there are psychological performances improvement among participant who employed imagery and modelling comparing to modelling alone

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