Data Analysis Procedure Phase I: Need Analysis

Table 3.5. Expert Validation Questionnaire Blueprint Participants Aspects Purposes References IT Experts Usability To know the ease and efficiency of operating the program Clark and Meyer 2008 and Krisnadi 2009. Technical feature To know whether the program provides easy navigationmenu operation for users or not Nursing Lecturers, English Lecturers, Experts of Material Development Content To know the suitability of selected vocabulary learning input included in the program such as level of difficulty, interest, and usefulness. Nation, 2001 The conformity of the learning model to the CAVL principles To gain the information whether the designed learning model applying CAVL design principles Goodfelow, 1994; Levy, 1997; Nation, 2001; Joseph, 2009; and Qing Ma, 2009 Target Respondents Aspects Purposes References All General feedback To get the comment on the prototype of CAVL model - All The strengths To get comment on positive things from the prototype of CAVL model - All The needs of improvement To get comment on things to improve from the prototype of CAVL model -

c. Data Gathering Procedure

The data was gathered through questionnaire distribution and interview in the design and development phase. The expert validation questionnaire was distributed to material development expert, English lecturers, IT experts, and nursing lecturers. It aimed to get the feedback towards the designed CAVL prototype before delivering to the target users. The interview was conducted to the small group of nursing students as the representative of the target learners. It was to know their opinion after experiencing vocabulary learning mediated with computer program.

d. Data Analysis Procedure

In the design and development phase, the data were collected from the expert validation questionnaire and the feedback from the participants in the try-out of the preliminary design model. The data analysis procedure used in need analysis phase was also applied to analysis the results of expert validation questionnaire which would be converted into score and recapitulated into a table. The next step was calculating the mean by using the same formula proposed by Bluman 2009: In which, = ∑ X The calculated mean then would be interpreted based on the criteria. The criteria were adapted from Dornyei 2003. He stated that the scale could be used to show the potentiality or strength of the designed CAVL model. In this study, the higher scale meant that the CAVL model was acceptable. If the mean was between 1.00-1.99, it means that the part of the design was not acceptable and should be replaced. The scale of 2.00-2.99 meant that the part of the design needs to be modified. The scale of 3.00 – 3.99 meant that the part was already good, but it need more exploration. The scale 4.00 – 5.00 meant that the part did not need to be revised. The following is the interpretation table of agreement levels on e-lon. Table 3.6. Interpretation Table of Agreement Levels Range Interpretation 1.00-1.99 Replace the rejected part of the designed CAVL 2.00-2.99 Modify part of the designed CAVL 3.00-3.99 Conduct more exploration on the existing part of the design 4.00-5.00 No revision Mn = mean ∑ X = number of responses n = number of respondents PLAGIAT MERUPAKAN TINDAKAN TIDAK TERPUJI