# Exploring the Relationship Between Gaming Disorder and Player Motivation

Published: 28 May 2024| Version 1 | DOI: 10.17632/vkv4rn4dzm.1
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## Steps to reproduce

Software Used: Statistica 13 Jamovi (for scores analysis, McDonald's Omega) MS Excel (for simple analysis) JASP (for confirmatory analysis of MPOG scores, item relevance, and factors - this was done prior to the study on a sample of 420 gamers) 1. Descriptive Statistics: Use Statistica 13 or Jamovi to calculate the mean, median, mode, range, and standard deviation for the primary variables: GAT (Gaming Addiction Test) scores and MPOG (Motivation to Play Online Games) scales. Generate demographic summaries, including age, gender distribution, and gaming habits (online vs. offline). 2. Deviation: Compute the standard deviation for the GAT scores and MPOG scales to assess the variability within the data using Statistica 13 or Jamovi. 3. Normality Tests: Conduct normality tests (e.g., Shapiro-Wilk test) for GAT scores and MPOG scales to determine if the data follows a normal distribution. This can be performed in Statistica 13 or Jamovi. 4. Non-Parametric Gender Differences in Supposed Gaming Disorder: Define the threshold for supposed Gaming Disorder as a GAT score of 50 or higher (Standard Ten score of 6+ and above). Use the Mann-Whitney U test in Statistica 13 or Jamovi to compare GAT scores between genders (Male and Female). 5. Pearson and Spearman Correlation Tests: Calculate Pearson correlation coefficients to measure the linear relationship between GAT scores and each MPOG scale. Calculate Spearman rank correlation coefficients to measure the monotonic relationship between GAT scores and MPOG scales. Both tests can be performed using Statistica 13 or Jamovi. 6. Linear Regression Analysis: Conduct linear regression analysis to investigate the predictive relationship between escapism (dependent variable) and GAT scores (independent variable). Conduct a separate linear regression analysis to examine the relationship between immersion (dependent variable) and GAT scores. Perform these analyses using Statistica 13.

## Institutions

Uniwersytet Slaski w Katowicach

## Categories

Psychology, Motivation, Computer Gaming, Consumer Motivation, Behavioral Addiction