A study of the learning effects of repeated trials of a video game by players of different ages is conducted. Twenty eight players ranging in age from 23 to 48 years each played the video game 5 times (one day apart) with their score recorded each time. It is thought that age has an impact on learning of the game.
Use the maximum likelihood method of estimation of the parameters for the model being fitted.
Continue your exploratory data analysis by producing two appropriate plots: one with AGE and one with AGEGROUP.
For Plot 1: Score on video game against Age in years for each trial.
For Plot 2: Score on video game against Trial for each Age-group.
1) Why is a linear mixed model being use for this question?
2) Need guide to carry out the step by step analysis for SPSS for linear mixed model to get the plots for plot 1 and plot 2 above.
- INITIALS – initials of the player;
- PLAYER_ID – ID number of the player;
- AGE – age in years of the player;
- TRIAL – the time (or day) which the game was played (1- 5);
- SCORE – the score on the video game (in thousands of points);
Use the maximum likelihood method of estimation of the parameters for the model being fitted.
Continue your exploratory data analysis by producing two appropriate plots: one with AGE and one with AGEGROUP.
For Plot 1: Score on video game against Age in years for each trial.
For Plot 2: Score on video game against Trial for each Age-group.
1) Why is a linear mixed model being use for this question?
2) Need guide to carry out the step by step analysis for SPSS for linear mixed model to get the plots for plot 1 and plot 2 above.