An Empirical Study of the Constituent Factors of Player Behaviour

Background Player behaviour comprises thoughts, decisions and other actions that arise from multiple sources and contexts in games and is based on the players’ complex environment of information, vicarious experiences and perspectives. Learning and superior performance within the game are shaped by the players’ goal orientation, conviction and interactions. Objectives of the study The study sought to understand the concept, functions and constituents of player behaviour from their perspectives, expectations, beliefs and traits. Recognising player behaviour in terms of its constituent elements would clarify and enhance knowledge of human behaviour and make it simple to use the understanding in deeper enquiry and applications. Method An instrument of 43 statements was first developed based on extant research and refined by the responses of 45 university teachers. It was then administered to 1,260 university students from whom 711 valid responses were received. The sample was processed by exploratory factor analysis under varimax rotation to yield the scale of player behaviour at a Cronbach alpha of .96 and a cumulative variance of 54 percent. Results The seven factors of the scale had an eigenvalue each of more than one, and Cronbach α values of .58 to .90. The exploratory factor analysis generated seven factors that were named conviction, experience sharing, uncertainty, unpredictability, insights, preparedness and planning . Discussion The study identified the factors of player behaviour and studied the effect of gender and education on player behaviour. It showed that player behaviour emerges from convictions which are perspectives backed by ready resources, skills and action plans to simplify, understand and respond to situations and likely problems. The behavioural differences between gender, type of programme and level of education were not significant. The study also discussed the nature of each factor and the limitations, suggestions and implications of the study.

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Publication Details

Journal
Simulation & Gaming
Published
2024-11-15
DOI
https://doi.org/10.1177/10468781241297283
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
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article

An Empirical Study of the Constituent Factors of Player Behaviour

Vinod Dumblekar, Jigyasu Dubey, Upinder Dhar
Simulation & Gaming
Sports Analytics and Performance
article

An Empirical Study of the Constituent Factors of Player Behaviour

Vinod Dumblekar, Jigyasu Dubey, Upinder Dhar
article en

Abstract

Background Player behaviour comprises thoughts, decisions and other actions that arise from multiple sources and contexts in games and is based on the players’ complex environment of information, vicarious experiences and perspectives. Learning and superior performance within the game are shaped by the players’ goal orientation, conviction and interactions. Objectives of the study The study sought to understand the concept, functions and constituents of player behaviour from their perspectives, expectations, beliefs and traits. Recognising player behaviour in terms of its constituent elements would clarify and enhance knowledge of human behaviour and make it simple to use the understanding in deeper enquiry and applications. Method An instrument of 43 statements was first developed based on extant research and refined by the responses of 45 university teachers. It was then administered to 1,260 university students from whom 711 valid responses were received. The sample was processed by exploratory factor analysis under varimax rotation to yield the scale of player behaviour at a Cronbach alpha of .96 and a cumulative variance of 54 percent. Results The seven factors of the scale had an eigenvalue each of more than one, and Cronbach α values of .58 to .90. The exploratory factor analysis generated seven factors that were named conviction, experience sharing, uncertainty, unpredictability, insights, preparedness and planning . Discussion The study identified the factors of player behaviour and studied the effect of gender and education on player behaviour. It showed that player behaviour emerges from convictions which are perspectives backed by ready resources, skills and action plans to simplify, understand and respond to situations and likely problems. The behavioural differences between gender, type of programme and level of education were not significant. The study also discussed the nature of each factor and the limitations, suggestions and implications of the study.

Simulation & GamingVol. 56(1)
Quality Education
Openalex Percentile: Top 75%
Sports Analytics and Performance
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