SlideShare a Scribd company logo
1 of 15
1
Compute 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. He
wanted to know whether there is a significant difference in their attitude towards science by level of
education (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




You should enter into your computer as:
Id   Form Gender Race Q1 Q2 Q3 Q4 Q5             Q6    Q7 Q8 Q9 Q10      Q11 Q12 Q13   Q14

1       1      1        1    1   2   4   1   2     4    4    3   2   2    4   3    4    999

Similarly enter the data into your computer as follow and saved them in your data file disk.
3
1. Setup your [Variable View] as follow:                          Missing value




1=Malay, 2=Chinese, 3=Kadazan/Dusun        SD=1, D=2, A=3, SA=4
4= Murut, 5=Others



2. Now you enter the data as below.
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




   7. Click on [Continue] then [OK]. Now you examine the [Data View] below the scores have been
      reversed.




COMPUTE DATA

Now 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 questionnaire
Method 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




2. 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




                  Total is added to the [Variable View]




                   Total value missing because of 999. To
                   avoid this use Method 2



Method 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




2. 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
4. 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
How to obtain mean score for each student in this questionnaire

Method 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 2

Method 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
3. 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
How to count the the total number of SD, D, A, SA coded as 1,2,3,4 for each student

1. 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




4. [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
5. Repeat for [No3] for [Frequency of score 3] and [No4] for [Frequency of score 4].




        Go to [Variable view ] change decimal place =0,
15
COURSEWORK

The following data were obtained from the Attitude Towards Mathematics in Upper Secondary
Questionnaire.

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 Q14

1    1     1     1      1     3   4   1   2   4   1    3    2    3    4   3    4     1
2    1     1     1      2     2   2   2   1   3   2    2    2    4    3   1    3     2
3    4     2     2      3     4   3   1   3   2   3    1    3    3    2   2    2     3
4    2     2     4      3     4   3   4   1   1   3    2    2    2    1   3    1     4
5    3     999   3      2     3   2   2   3   2   3    3    2    1    2   4    2     3
6    3     1     3      3     1   3   4   2   3   2    4    2    2    3   3    3     2
7    4     2     4      1     2   4   2   1   2   1    3    1    3    4   3    4     1
8    4     2     4      4     3   2   3   1   3   3    2    2    4    3   4    4     2
9    5     1     5      2    4    1   1   2   1   2   999   4    3    2   3    4     3
10   5     1     5      3    1    2   2   3   2   3    1    3    2    1   2    2     3
11   1     1     1      1     3   4   1   2   4   1    3    2   999   4   3    4     2
12   1     1     1      2     2   2   2   1   3   2    2    2    4    3   1    3     2
13   999   2     2      3     4   3   1   3   2   3    1    3    3    2   2    2     3
14   2     2     4      3     4   3   4   1   1   3    2    2    2    1   3    1     4
15   3     999   3      2     3   2   2   3   2   3    3    2    1    2   4    2     3
16   3     1     3      3     1   3   4   2   3   2    4    2    2    3   3    3     2
17   4     2     4      1     2   4   2   1   2   1    3    1    3    4   3    4     1
18   4     2     4      4     3   2   3   1   3   3    2    2    4    3   4    4     2
19   5     1     5      2    4    1   1   2   1   2    1    4    3    2   3    4    999
20   5     1     5      3    1    2   2   3   2   3    1    3    2    1   2    2     3
21   1     1     1      1     3   4   1   2   4   1    3    2    3    4   3    4   999
22   1     1     1      2     2   2   2   1   3   2    2    2    4    3   1    3     2
23   999   2     2      3     4   3   1   3   2   3    1    3    3    2   2    2     3
24   2     2     4      3     4   3   4   1   1   3    2    2    2    1   3    1     4
25   3     999   3      2     3   2   2   3   2   3    3    2    1    2   4    2     3
26   3     1     3      3     1   3   4   2   3   2    4    2    2    3   3    3     2
27   4     2     4      1     2   4   2   1   2   1    3    1    3    4   3    4     1
28   4     2     4      4     3   2   3   1   3   3    2    2    4    3   4    4     2
29   5     1     5      2    4    1   1   2   1   2    1    4    3    2   3    4    999
30   5     1     5      3    1    2   2   3   2   3    1    3    2    1   2    2     3

More Related Content

Viewers also liked (6)

Charts
ChartsCharts
Charts
 
Presentation1
Presentation1Presentation1
Presentation1
 
Project 6
Project 6Project 6
Project 6
 
Lean and the Patient Experience
Lean and the Patient ExperienceLean and the Patient Experience
Lean and the Patient Experience
 
Unit 3
Unit 3Unit 3
Unit 3
 
Graph
GraphGraph
Graph
 

Similar to Compute and-recode-part-2

Luhn algorithm
Luhn algorithmLuhn algorithm
Luhn algorithm
Nguyen Huy
 
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
uroosavayani
 
60440 question-paper-unit-g451-an-introduction-to-physical-education
60440 question-paper-unit-g451-an-introduction-to-physical-education60440 question-paper-unit-g451-an-introduction-to-physical-education
60440 question-paper-unit-g451-an-introduction-to-physical-education
ashfieldpe
 
60440 question-paper-unit-g451-an-introduction-to-physical-education
60440 question-paper-unit-g451-an-introduction-to-physical-education60440 question-paper-unit-g451-an-introduction-to-physical-education
60440 question-paper-unit-g451-an-introduction-to-physical-education
ashfieldpe
 

Similar to Compute and-recode-part-2 (20)

Discrimination index
Discrimination indexDiscrimination index
Discrimination index
 
Algebra Foundations Series- 1.2 Order of Operations
Algebra Foundations Series- 1.2 Order of OperationsAlgebra Foundations Series- 1.2 Order of Operations
Algebra Foundations Series- 1.2 Order of Operations
 
Math 9 Quiz Bee.pptx
Math 9 Quiz Bee.pptxMath 9 Quiz Bee.pptx
Math 9 Quiz Bee.pptx
 
NAA Maximize 2015 - Presentation on In-depth Analytics of Pricing Discovery
NAA Maximize 2015 - Presentation on In-depth Analytics of Pricing DiscoveryNAA Maximize 2015 - Presentation on In-depth Analytics of Pricing Discovery
NAA Maximize 2015 - Presentation on In-depth Analytics of Pricing Discovery
 
ISA 3.0 E-Learning Assessment Test.pdf
ISA 3.0 E-Learning Assessment Test.pdfISA 3.0 E-Learning Assessment Test.pdf
ISA 3.0 E-Learning Assessment Test.pdf
 
(7) Lesson 4.2 - Compare and order Rational Numbers
(7) Lesson 4.2 - Compare and order Rational Numbers(7) Lesson 4.2 - Compare and order Rational Numbers
(7) Lesson 4.2 - Compare and order Rational Numbers
 
ME Math 8 Q1 0204 TG.pdf Teaching Guide
ME Math 8 Q1 0204 TG.pdf  Teaching GuideME Math 8 Q1 0204 TG.pdf  Teaching Guide
ME Math 8 Q1 0204 TG.pdf Teaching Guide
 
Coding Concept.ppt
Coding Concept.pptCoding Concept.ppt
Coding Concept.ppt
 
ABLE - E-Learning Symposium December 2016
ABLE - E-Learning Symposium December 2016ABLE - E-Learning Symposium December 2016
ABLE - E-Learning Symposium December 2016
 
W1-L1 Negative-numbers-ppt..pptx
W1-L1 Negative-numbers-ppt..pptxW1-L1 Negative-numbers-ppt..pptx
W1-L1 Negative-numbers-ppt..pptx
 
Consulting Template Slides
Consulting Template SlidesConsulting Template Slides
Consulting Template Slides
 
Blackboard training - E-assessment
Blackboard training - E-assessmentBlackboard training - E-assessment
Blackboard training - E-assessment
 
Factoring Non-Perfect Square Trinomial Lesson Plan
Factoring Non-Perfect Square Trinomial Lesson PlanFactoring Non-Perfect Square Trinomial Lesson Plan
Factoring Non-Perfect Square Trinomial Lesson Plan
 
WEEK 4.doc
WEEK 4.docWEEK 4.doc
WEEK 4.doc
 
STRAND 1 NUMBERS.pptx CBC FOR GRADE 8 STUDENTS
STRAND 1  NUMBERS.pptx CBC FOR GRADE  8 STUDENTSSTRAND 1  NUMBERS.pptx CBC FOR GRADE  8 STUDENTS
STRAND 1 NUMBERS.pptx CBC FOR GRADE 8 STUDENTS
 
Luhn algorithm
Luhn algorithmLuhn algorithm
Luhn algorithm
 
2016 July Question paper.pdf
2016 July Question paper.pdf2016 July Question paper.pdf
2016 July Question paper.pdf
 
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
 
60440 question-paper-unit-g451-an-introduction-to-physical-education
60440 question-paper-unit-g451-an-introduction-to-physical-education60440 question-paper-unit-g451-an-introduction-to-physical-education
60440 question-paper-unit-g451-an-introduction-to-physical-education
 
60440 question-paper-unit-g451-an-introduction-to-physical-education
60440 question-paper-unit-g451-an-introduction-to-physical-education60440 question-paper-unit-g451-an-introduction-to-physical-education
60440 question-paper-unit-g451-an-introduction-to-physical-education
 

Recently uploaded

Recently uploaded (20)

How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
 
Plant propagation: Sexual and Asexual propapagation.pptx
Plant propagation: Sexual and Asexual propapagation.pptxPlant propagation: Sexual and Asexual propapagation.pptx
Plant propagation: Sexual and Asexual propapagation.pptx
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 

Compute and-recode-part-2

  • 1. 1 Compute 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. He wanted to know whether there is a significant difference in their attitude towards science by level of education (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. 2 You should enter into your computer as: Id Form Gender Race Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 1 1 1 1 1 2 4 1 2 4 4 3 2 2 4 3 4 999 Similarly enter the data into your computer as follow and saved them in your data file disk.
  • 3. 3 1. Setup your [Variable View] as follow: Missing value 1=Malay, 2=Chinese, 3=Kadazan/Dusun SD=1, D=2, A=3, SA=4 4= Murut, 5=Others 2. 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 DATA Now 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 questionnaire Method 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. 6 2. 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 2 Method 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. 8 2. 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. 9 4. 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. 10 How to obtain mean score for each student in this questionnaire Method 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 2 Method 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. 11 3. 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. 12 How to count the the total number of SD, D, A, SA coded as 1,2,3,4 for each student 1. 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. 13 4. [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. 14 5. Repeat for [No3] for [Frequency of score 3] and [No4] for [Frequency of score 4]. Go to [Variable view ] change decimal place =0,
  • 15. 15 COURSEWORK The following data were obtained from the Attitude Towards Mathematics in Upper Secondary Questionnaire. 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 Q14 1 1 1 1 1 3 4 1 2 4 1 3 2 3 4 3 4 1 2 1 1 1 2 2 2 2 1 3 2 2 2 4 3 1 3 2 3 4 2 2 3 4 3 1 3 2 3 1 3 3 2 2 2 3 4 2 2 4 3 4 3 4 1 1 3 2 2 2 1 3 1 4 5 3 999 3 2 3 2 2 3 2 3 3 2 1 2 4 2 3 6 3 1 3 3 1 3 4 2 3 2 4 2 2 3 3 3 2 7 4 2 4 1 2 4 2 1 2 1 3 1 3 4 3 4 1 8 4 2 4 4 3 2 3 1 3 3 2 2 4 3 4 4 2 9 5 1 5 2 4 1 1 2 1 2 999 4 3 2 3 4 3 10 5 1 5 3 1 2 2 3 2 3 1 3 2 1 2 2 3 11 1 1 1 1 3 4 1 2 4 1 3 2 999 4 3 4 2 12 1 1 1 2 2 2 2 1 3 2 2 2 4 3 1 3 2 13 999 2 2 3 4 3 1 3 2 3 1 3 3 2 2 2 3 14 2 2 4 3 4 3 4 1 1 3 2 2 2 1 3 1 4 15 3 999 3 2 3 2 2 3 2 3 3 2 1 2 4 2 3 16 3 1 3 3 1 3 4 2 3 2 4 2 2 3 3 3 2 17 4 2 4 1 2 4 2 1 2 1 3 1 3 4 3 4 1 18 4 2 4 4 3 2 3 1 3 3 2 2 4 3 4 4 2 19 5 1 5 2 4 1 1 2 1 2 1 4 3 2 3 4 999 20 5 1 5 3 1 2 2 3 2 3 1 3 2 1 2 2 3 21 1 1 1 1 3 4 1 2 4 1 3 2 3 4 3 4 999 22 1 1 1 2 2 2 2 1 3 2 2 2 4 3 1 3 2 23 999 2 2 3 4 3 1 3 2 3 1 3 3 2 2 2 3 24 2 2 4 3 4 3 4 1 1 3 2 2 2 1 3 1 4 25 3 999 3 2 3 2 2 3 2 3 3 2 1 2 4 2 3 26 3 1 3 3 1 3 4 2 3 2 4 2 2 3 3 3 2 27 4 2 4 1 2 4 2 1 2 1 3 1 3 4 3 4 1 28 4 2 4 4 3 2 3 1 3 3 2 2 4 3 4 4 2 29 5 1 5 2 4 1 1 2 1 2 1 4 3 2 3 4 999 30 5 1 5 3 1 2 2 3 2 3 1 3 2 1 2 2 3