My guidance counciller said i had to make scales to avoid Type I errors, because i have allot of variables. I need to know if there is a difference between Gamers and NonGamers for their perception towards the wrongfulness of crimes.

He is on holiday vacation now for another week, so i was wondering if he meant by 'scaling', that i need to compute my variables. If so, my original question is: what output should i interpret, SUM or MEAN scores of the computed variable to present the data in my paper.

I use a laptop with Windows 10, 64bit; SPSS Version 24

What i have done is the following:

**Raw data/Variables**
Var3.2.1 = Breaking in a home without violence

- Values: 1=1, 2=2, 3=3,... 10=10, 999=not filled in

- Measurement level: Ordinal

Var3.2.2 = Stealing with violence

- Values: 1=1,...

- Measurement level: Ordinal

....

Var3.2.11=Discrimination

- Values: 1=1,...

- Measurement level: Ordinal

**Compute**
SUM (Var3.2.1,Var3.2.2,Var3.2.3,Var3.2.4,Var3.2.5,Var3.2.6,Var3.2.7,Var3.2.8,Var3.2.9,Var3.2.10,Var3.2.11)

- Variable name= Wrongfulness_SUM

- Measurement level: Scale

MEAN (Var3.2.1,Var3.2.2,Var3.2.3,Var3.2.4,Var3.2.5,Var3.2.6,Var3.2.7,Var3.2.8,Var3.2.9,Var3.2.10,Var3.2.11)

- Variable name= Wrongfulness_MEAN

- Measurement level: Scale

**Test for analysis**
Independent T-test

- Test Variables

==> Wrongfulness_MEAN

-Measurement level: Scale

==> Wrongfulness_SUM

- Measurement level: Scale

- Groupung Variable

==> Not_Gamers (NG; defined as '0')

- Measurement level: Nominal

==> Gamers (G; defined as '1')

- Measurement level: Nominal

**Output**
Wrongfulness_SUM & Wrongfulness_MEAN:

http://imgur.com/a/y6ByZ#WyozJc7
Apologies for the imgur link (lacking skills in img posting on forum)

Question 1: Is this the right proces for scaling 11 variables to 1 variable?

Question 2: What output data should i interpret?