Your SlideShare is downloading. ×
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Compute and-recode-part-2
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Compute and-recode-part-2

149

Published on

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
149
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. 1Compute and Recode for SPSS Ver 20 (DR SEE KIN HAI) (PART 2)A science teacher wanted to gauge the attitude of students towards science in rural areas of Brunei. Hewanted to know whether there is a significant difference in their attitude towards science by level ofeducation (i.e. Year 7, 8, 9, 10 or 11 or equivalent of Form 1,2,3,4 or 5), gender (male=1 or female=2)and ethnic group (Malay=1, Chinese=2, Kadazan / Dusun = 3, Murut=4, Others=5). For this purpose ,he prepared a questionnaire that consisted of 2 parts: Part A: Respondents’ demographic background,Part B: Attitude towards science in school assessment questionnaire modified from Germann (1984).(Likert scale: SD=1, D=2, A=3, SA=4 reverse for negative items, Missing value = 999)(The following sample showed the response from a student)
  • 2. 2You should enter into your computer as:Id Form Gender Race Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q141 1 1 1 1 2 4 1 2 4 4 3 2 2 4 3 4 999Similarly enter the data into your computer as follow and saved them in your data file disk.
  • 3. 31. Setup your [Variable View] as follow: Missing value1=Malay, 2=Chinese, 3=Kadazan/Dusun SD=1, D=2, A=3, SA=44= Murut, 5=Others2. Now you enter the data as below.
  • 4. 4 3. Now, the items for the questionnaire, Q2, Q7, Q10 and Q14 are negative items so the Likert scale should be reversed. SD =4, D= 3, A=2 and SA = 1. 4. Now you [Recode] the negatively-worded questions into the [same variables]. If you want can be into [different variables]. 5. Select [Transform] in the menu bar and click [Recode into Same Variables] to open the dialogue box. 6. Move [Q2, Q7, Q10 , Q14] into the [Variables] box then click [Old and New values] to open the sub-dialogue box.7. Enter [1] in the [Old Value] box and [4] in the [New Value] box then [Add]. Repeat for 2 → 3, 3 → 2 and 4 → 1.
  • 5. 5 7. Click on [Continue] then [OK]. Now you examine the [Data View] below the scores have been reversed.COMPUTE DATANow to score students’ attitude towards science, you have to add up the scores for the 14 questions.There are 2 ways of doing this.How to total the score for each student in this questionnaireMethod 1: (If you do not want to include the missing items, e.g. Q14)1. Select [Transform] then [Compute Variable..] to open the dialogue box.
  • 6. 62. Type [Total] into [Target Variable] box. Move [Q1] then [+] and repeat until [Q14] then [OK].3. Now click on [Data View], [Total] is created.
  • 7. 7 Total is added to the [Variable View] Total value missing because of 999. To avoid this use Method 2Method 2: ( Use the [Function group] if you want to include the missing values, e.g. Q14) 1. Select [Transform] then [Compute Variable..] to open the dialogue box.
  • 8. 82. Enter [Total] in the [Targer Variable] box. In the [Function group] box select [Statistical] and[Sum] in the [Functions and Special Variables] box.3. Click on [ ↑ ] to bring this function into [Numeric Expression] box.
  • 9. 94. Move [Q1] to [Numeric Expression] box. Repeat until [Q14] then [OK].5. Now you examine the [Data View] below. The Total added for the missing values
  • 10. 10How to obtain mean score for each student in this questionnaireMethod 1: (To exclude the missing values)1. Select [Transform] then [Compute Variable…] to open the dialogue box.2. Type [Mean] in [Target Variable] box. Select [( )] and move [Q1] to [Q14] into [Numeric Expression] box then [OK] as follow. Missing values not included. If you want to find the mean use Method 2Method 2: (To include missing values in the calculation of the means)1. Select [Transform] then [Compute Variable…] to open the dialogue box.2. Type [Mean] in the [Target Variable] then select[Statistical] and [Mean] in the [Function group]
  • 11. 113. Click [ ↑ ] and move to [Numeric Expression] box. Move [Q1] to [Q14] into the [Numeric Expression] box then [OK]. The means are calculated for the missing values
  • 12. 12How to count the the total number of SD, D, A, SA coded as 1,2,3,4 for each student1. Select [Transform] then [Count Values within Cases…] to open the dialogue box.2. Enter [No1] in the [Target Variable] box and [Frequency of score 1] in the [Target Label] box. Move [Q1] to [Q14] into [Numeric Variables] box then click on [Define Values] to open the sub-dialogue box.3. Click [1] in the [Value] box then [Add] to move to [Values to count] then [Continue] then [OK].
  • 13. 134. [Transform] then [Count Values within Cases..] type [No2] and [Frequency for score 2] and move [Q1] to [Q4] as below. [Define Values..] to open sub-dialogue box.Type [2] in [Value] box then [Add]and [Continue], [OK].
  • 14. 145. Repeat for [No3] for [Frequency of score 3] and [No4] for [Frequency of score 4]. Go to [Variable view ] change decimal place =0,
  • 15. 15COURSEWORKThe following data were obtained from the Attitude Towards Mathematics in Upper SecondaryQuestionnaire.1. Recode the negatively-worded items, Q2, Q7, Q10, Q14 into the same Variables by reversing the Likert scales. (i.e. 4 → 1, 3 → 2, 2 → 3 and 1 → 4)2. Compute the total scores of each student’s attitude from Q1 to Q14 (Use 2 methods) and also the total scores for all 30 students.3. Compute the mean for each student (Use 2 methods) and the overall means.4. Count the number of SD=1, D=2, A=3, SA=4 for each student and the overall count for the 30 students.5. Determine if your instrument is reliable. (Find Cronbach’s alpha and split-half reliability coefficients. See L15).Id Year Gender Race Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q141 1 1 1 1 3 4 1 2 4 1 3 2 3 4 3 4 12 1 1 1 2 2 2 2 1 3 2 2 2 4 3 1 3 23 4 2 2 3 4 3 1 3 2 3 1 3 3 2 2 2 34 2 2 4 3 4 3 4 1 1 3 2 2 2 1 3 1 45 3 999 3 2 3 2 2 3 2 3 3 2 1 2 4 2 36 3 1 3 3 1 3 4 2 3 2 4 2 2 3 3 3 27 4 2 4 1 2 4 2 1 2 1 3 1 3 4 3 4 18 4 2 4 4 3 2 3 1 3 3 2 2 4 3 4 4 29 5 1 5 2 4 1 1 2 1 2 999 4 3 2 3 4 310 5 1 5 3 1 2 2 3 2 3 1 3 2 1 2 2 311 1 1 1 1 3 4 1 2 4 1 3 2 999 4 3 4 212 1 1 1 2 2 2 2 1 3 2 2 2 4 3 1 3 213 999 2 2 3 4 3 1 3 2 3 1 3 3 2 2 2 314 2 2 4 3 4 3 4 1 1 3 2 2 2 1 3 1 415 3 999 3 2 3 2 2 3 2 3 3 2 1 2 4 2 316 3 1 3 3 1 3 4 2 3 2 4 2 2 3 3 3 217 4 2 4 1 2 4 2 1 2 1 3 1 3 4 3 4 118 4 2 4 4 3 2 3 1 3 3 2 2 4 3 4 4 219 5 1 5 2 4 1 1 2 1 2 1 4 3 2 3 4 99920 5 1 5 3 1 2 2 3 2 3 1 3 2 1 2 2 321 1 1 1 1 3 4 1 2 4 1 3 2 3 4 3 4 99922 1 1 1 2 2 2 2 1 3 2 2 2 4 3 1 3 223 999 2 2 3 4 3 1 3 2 3 1 3 3 2 2 2 324 2 2 4 3 4 3 4 1 1 3 2 2 2 1 3 1 425 3 999 3 2 3 2 2 3 2 3 3 2 1 2 4 2 326 3 1 3 3 1 3 4 2 3 2 4 2 2 3 3 3 227 4 2 4 1 2 4 2 1 2 1 3 1 3 4 3 4 128 4 2 4 4 3 2 3 1 3 3 2 2 4 3 4 4 229 5 1 5 2 4 1 1 2 1 2 1 4 3 2 3 4 99930 5 1 5 3 1 2 2 3 2 3 1 3 2 1 2 2 3

×