Design of the Study

2. Non-Test Instrument

The writer observed the school situation, the class condition, and the English curriculum of the VIII grade students. In this case, the writer acted as a teacher and an observer who observed the teaching and learning process. Therefore, this technique can be categorized as participant process.

E. Technique of Data Analysis

For the next step of research is processing the data. The writer used the comparative technique. The comparative technique is an analysis technique to evaluated hypothesis concerning to the differences between two variables examined statistically. In the comparative technique, the variables are compared to know whether differences are significant. The writer used t-test to find out the differences score of students’ achievement in teaching vocabulary by using crossword puzzle game or without using it which adapted from Anas Sudijono. The formula as is follows: 1. Determining Mean of variable X, with formula: = ∑ : The average of gained score mean of variable X ∑ : Sum gained score variable X N: number of students 2. Determining Mean of variable Y, with formula: = ∑ : The average of gained score mean of variable Y ∑ : Sum gained score variable Y N: number of students 3. Determining Standard Deviation Score of Variable X, with formula: � = √ ∑ � : Standard deviation score of variable X ∑ : Sum of squared gained score variable X : Number of the students 4. Determining Standard Deviation Score of Variable Y, with formula: � = √ ∑ 2 � : Standard deviation score of variable Y ∑ : Sum of squared gained score variable Y : Number of students 5. Determining standard error mean of variable X, with formula: � � = � √ − � � : Standard error mean of variable X � : Standard deviation of variable X : Number of the students 6. Determining standard error mean of variable Y, with formula: � = � √ − � : Standard error mean of variable Y � : Standard deviation of variable Y : Number of the students 7. Determining standard error mean of difference mean of variable X and mean of variable Y, with formula: � �− = √� � + � � �− : Standard error of difference mean of variable X and mean of variable Y � � : Sum of squared standard error mean of variable X � : Sum of squared standard error mean of variable Y 8. Determining t0 with formula: � = − � � −� � : t observation