Validating the Digital Games Motivation Scale for Comparative Research Between Countries

Researchers interested in motives for playing digital games can draw on a variety of measurement instruments. When the aim is to compare between groups, however, instruments need to show certain psychometric properties. Specifically, an instrument needs to be invariant. Without such properties, comparisons between groups run the danger of yielding invalid results. The current study investigates to what extent the Digital Games Motivation Scale (DGMS) can be used to compare motivations between cultures by testing it in four different countries. Results indicate configural, metric, and partial scalar invariance for the cross-cultural comparisons. In conclusion, this study presents a psychometrically sound measurement instrument that can be used in cross-cultural settings.

[1]  W. Meredith.  Measurement invariance, factor analysis and factorial invariance , 1993 .

[2]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[3]  J. Horn,et al.  When is invariance not invarient: A practical scientist's look at the ethereal concept of factor invariance. , 1983 .

[4]  Scott E. Caplan,et al.  Who plays, how much, and why? Debunking the stereotypical gamer profile , 2008, J. Comput. Mediat. Commun..

[5]  S. Schwartz.  Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries , 1992 .

[6]  Eldad Davidov,et al.  A cross-country and cross-time comparison of the human values measurements with the second round of the European Social Survey , 2008 .

[7]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[8]  Thorsten Quandt,et al.  (Multiplayer) gaming around the globe? A comparison of gamer surveys in Four Countries , 2013 .

[9]  Rabindra A. Ratan,et al.  The Trojan Player Typology: A cross-genre, cross-cultural, behaviorally validated scale of video game play motivations , 2015, Comput. Hum. Behav..

[10]  Phil Wood.  Confirmatory Factor Analysis for Applied Research , 2008 .

[11]  Holger Steinmetz,et al.  Analyzing observed composite differences across groups: Is partial measurement invariance enough? , 2013 .

[12]  B. Byrne.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[13]  A. Meade,et al.  Identifying careless responses in survey data. , 2012, Psychological methods.

[14]  Daniel L. Oberski,et al.  Comparability of Survey Measurements , 2012 .

[15]  Verolien Cauberghe,et al.  Development and Validation of an Instrument for Measuring Individual Motives for Playing Digital Games , 2016 .

[16]  V. Jan,et al.  Young people at play: behaviors, motives and social structure , 2015 .

[17]  S. Schwartz,et al.  Bringing Values Back In The Adequacy of the European Social Survey to Measure Values in 20 Countries , 2008 .

[18]  W. Balzer,et al.  ISSUES AND STRATEGIES FOR REDUCING THE LENGTH OF SELF‐REPORT SCALES , 2002 .

[19]  Jan Van Looy,et al.  Young people at play. Behaviors, motives and social structure , 2015, Comput. Hum. Behav..

[20]  L. Gideon.  Handbook of Survey Methodology for the Social Sciences , 2012 .

[21]  Les Nelson,et al.  Online gaming motivations scale: development and validation , 2012, CHI.

[22]  J. Steenkamp,et al.  Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .