SlideShare a Scribd company logo
SCALING:
Z- SCORES (Standard Scores)
T- SCORES (Transformed Scores)
C- Scores
SURBHI SHARMA
Department of Education
UNIVERSITY OF LUCKNOW
25/03/2020 1
25/03/2020 2
• What are SCORES?
• What are RAW SCORES?
• Meaning of Derived/Converted/ Standard Scores.
1. Z-Scores
1.1 Meaning of Z- Scores
1.2 Calculation of Z- Scores
1.3 Utility of Z- Scores
2. T- Scores
2.1 Meaning of T- Scores
2.2 Calculation of T- Scores
2.3 Utility of T- Scores
3. C- Scores
3.1 Meaning of C- Scores
3.2 Calculation of C- Scores
3.3 Utility of C- Scores
• Problem Sums
• References
25/03/2020 3
What are Scores?
According to Ross –
“A score on any test is simply a numerical
description of an individual’s performance on
that task.”
25/03/2020 4
What are RAW Scores?
According to Smith –
“Raw Scores are direct counts of the number of items a specified
event has occurred, such as -
• the number of test items answered correctly,
• the number of books read,
• the number of errors made in solving a problem,
• the number of statements endorsed on a questionnaire, etc.”
25/03/2020 5
I scored 60 in English & 60 in
Mathematics. Are my scores in both
subjects significantly meaning the
same?
What should I
do now?
25/03/2020 6
25/03/2020 7
Derived Scores / Converted Scores / Standard Scores
Meaning:
The scores which have a definite reference
point or norm, and this norm is the Mean (M)
of the scale. Besides, it has a definite standard
deviation ().
…contd.
25/03/2020 8
Derived Scores / Converted Scores / Standard Scores
Types of Derived Scores:
• Z- Scores
• T- Scores
• C-Scores
• Stanine Scores
• Hull Scores , etc.
25/03/2020 9
In midterm exam, Ram has obtained a score of 55 in
mathematics.
The Maximum
Marks can be scored
is 85
for the class
The Mean is 50 for
the class
SITUATION A SITUATION B
25/03/2020 10
1. Z-Scores (Standard Scores):
Meaning of Z- Scores:
It tells how many standard deviations
someone is above or below the mean.
Mean(M) = 0
Standard Deviation () = 1
Its value is generally from
-3 to +3
The unit of Z-Score is similar to the
standard deviation ()
25/03/2020 11
Calculation of Z- Scores/ Sigma-scores (Standard Scores)
Where,
Z= Z-Score or sigma-score
X= Raw Score
M= Mean
 = Standard Deviation
25/03/2020 12
Ques. 1.
The marks obtained by student A in the
Mathematics and Language tests of maximum
marks 100, each are 80 and 70 respectively.
If the mean (M) of mathematics scores of the
class students is 60 and standard deviation ()
8, and in the language test 40 and 10
respectively; then find out in which subject the
student A is more able as compared to other
students?
Contd….
25/03/2020 13
25/03/2020 14
25/03/2020 15
Analysis:
Because student A’s Z-score in language is more
than that of mathematics, so he is more able in
language in the class as compared to
mathematics.
25/03/2020 16
Utility of Z-Scores: In Education for meaningful analysis of scores of a students, etc.
25/03/2020 17
2. T-Scores (Transformed Scores):
Meaning of T- Scores:
T-scores are those converted scores of raw scores
of which-
Mean(M) = 50
Standard Deviation () = 10
Distribution is Normal.
25/03/2020 18
Calculation of T- Scores:
Where,
T= T-Score
X= Raw Score
M= Mean
 = Standard Deviation
25/03/2020 19
Calculation of T- Scores:
Where,
T= T-Score
Z= Z-Score
25/03/2020 20
Ques. 2.
In Ques. 1 The score in mathematics of
student A=80 and Z-Score= 2.5; and the score
in language= 70 and Z-Score= 3. Convert these
scores into T-Scores.
25/03/2020 21
Contd. …
25/03/2020 22
25/03/2020 23
Row Scores Standard Scores
( Z-Scores)
T-Scores
80 2.5 75
70 3 80
Tabulation of Scores :
25/03/2020 24
Utility of T-Scores:
If the range of general distribution is taken to be 100, then range of T-Scale becomes from 0 to
100 as a result, therefore the measurement of scores can be done more accurately.
25/03/2020 25
Comparison of Z- Scores & T- Scores
25/03/2020 26
3. C-Scores :
Meaning of C- Scores:
C-scores are those converted scores of raw scores of which-
Mean(M) = 5
Standard Deviation () = 2
 Range of Raw Score is displayed on a 11- point scale from 0
to 10.
25/03/2020 27
Calculation of C- Scores:
Where,
C= C-Score
Z= Z-Score
Method 1: Using Z-Score
25/03/2020 28
Calculation of C- Scores:
Method 2: Using Percentile Rank,
that is, a raw score into C-Score by first changing raw scores into percentile rank and
then into C-Scores by using the following table:
25/03/2020 29
Utility of C-Scores:
In Education, the use of C-Scores is more useful than the use
of Z-Scores and T-Scores.
However,
• C-Score has demerit of being awarding 0- Score.
•Also, there comes much difference in % if C-Score goes
up/down by even 1- point.
25/03/2020 30
Sums For Practice:
25/03/2020 31
Ques. A.
In a testing survey of class X students with
N=500, their mean was observed as 80 and
standard deviation as 8. Assuming normality of
distribution of their scores, how many students
would be below the score of a student getting
88? (UGC-Net, 2019)
a) 171
b) 421
c) 84
d) 16
25/03/2020 32
Ques. B.
A researcher gives two tests-one in English language and another in
mathematics. He/She finds the mean & standard deviation of each of
the two groups n=100, as follows:
Assuming the curve for the two distributions overlapping, how many
students in English language are below the mean of those in mathematics?
a) 34
b) 84
c) 16
d) 32
English Mathematics
Mean(M) 50 60
Standard Deviation() 10 12
25/03/2020 33
Answers :
Ques. A 421
Ques. B 34
Z-TableofAreas
25/03/2020 34
25/03/2020 35
REFERENCES:
1] Asthana,B.(2015) Measurement and evaluation in
psychology and evaluation,Agarwal Publication, Agra.
2] Garrett, H.E.(1952) Statistics in psychology and education,
Longmans, Green & Co., London.
3] Gupta, S.C. & Kapoor, V.K.(2011) Fundamentals of
Mathematics Statistics, Sultan Chand & Sons, New Delhi.
25/03/2020 36

More Related Content

What's hot

Characteristics of normal probability curve
Characteristics of normal probability  curveCharacteristics of normal probability  curve
Characteristics of normal probability curve
arihantcollege9
 
Percentile and percentile rank
Percentile and percentile rankPercentile and percentile rank
Percentile and percentile rank
Gautam Kumar
 
Measurement and evaluation
Measurement and evaluationMeasurement and evaluation
Measurement and evaluation
seena george
 
measurements and evaluation tools
measurements and evaluation tools measurements and evaluation tools
measurements and evaluation tools
Diksha Verma
 
Standard Scores
Standard ScoresStandard Scores
Standard Scores
Mirasol Madrid
 
Norms Referenced and Criteria Referenced Evaluation
Norms Referenced and Criteria Referenced EvaluationNorms Referenced and Criteria Referenced Evaluation
Norms Referenced and Criteria Referenced Evaluation
Suresh Babu
 
Educational Measurement
Educational MeasurementEducational Measurement
Educational Measurement
AJ Briones
 
Characteristics of a good measuring tool
Characteristics of a good measuring toolCharacteristics of a good measuring tool
Characteristics of a good measuring tool
Forum of Blended Learning
 
Measurement and evaluation
 Measurement and evaluation Measurement and evaluation
Measurement and evaluation
DR .PALLAVI PATHANIA
 
Testing (Guidance and Counseling)
Testing (Guidance and Counseling)Testing (Guidance and Counseling)
Testing (Guidance and Counseling)
pau sario
 
teacher made test Vs standardized test
 teacher made test Vs standardized test teacher made test Vs standardized test
teacher made test Vs standardized test
athiranandan
 
2. meaning of measurement and evaluation
2. meaning of measurement and evaluation2. meaning of measurement and evaluation
2. meaning of measurement and evaluation
John Paul Hablado
 
Evaluation
Evaluation Evaluation
Evaluation
Adeeba Aqil
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
mercy rani
 
CONTINUOUS AND COMPREHENSIVE EVALUATION(CCE)
CONTINUOUS AND COMPREHENSIVE EVALUATION(CCE)CONTINUOUS AND COMPREHENSIVE EVALUATION(CCE)
CONTINUOUS AND COMPREHENSIVE EVALUATION(CCE)
Sani Prince
 
OBJECTIVITY OF TESTS ppt.pptx
OBJECTIVITY OF TESTS ppt.pptxOBJECTIVITY OF TESTS ppt.pptx
OBJECTIVITY OF TESTS ppt.pptx
Forum of Blended Learning
 
Validity, its types, measurement & factors.
Validity, its types, measurement & factors.Validity, its types, measurement & factors.
Validity, its types, measurement & factors.Maheen Iftikhar
 
Characteristics of Good Evaluation Instrument
Characteristics of Good Evaluation InstrumentCharacteristics of Good Evaluation Instrument
Characteristics of Good Evaluation Instrument
Suresh Babu
 

What's hot (20)

Characteristics of normal probability curve
Characteristics of normal probability  curveCharacteristics of normal probability  curve
Characteristics of normal probability curve
 
Percentile and percentile rank
Percentile and percentile rankPercentile and percentile rank
Percentile and percentile rank
 
Tscore
TscoreTscore
Tscore
 
Measurement and evaluation
Measurement and evaluationMeasurement and evaluation
Measurement and evaluation
 
measurements and evaluation tools
measurements and evaluation tools measurements and evaluation tools
measurements and evaluation tools
 
Standard Scores
Standard ScoresStandard Scores
Standard Scores
 
Norms Referenced and Criteria Referenced Evaluation
Norms Referenced and Criteria Referenced EvaluationNorms Referenced and Criteria Referenced Evaluation
Norms Referenced and Criteria Referenced Evaluation
 
Educational Measurement
Educational MeasurementEducational Measurement
Educational Measurement
 
Characteristics of a good measuring tool
Characteristics of a good measuring toolCharacteristics of a good measuring tool
Characteristics of a good measuring tool
 
Measurement and evaluation
 Measurement and evaluation Measurement and evaluation
Measurement and evaluation
 
Testing (Guidance and Counseling)
Testing (Guidance and Counseling)Testing (Guidance and Counseling)
Testing (Guidance and Counseling)
 
teacher made test Vs standardized test
 teacher made test Vs standardized test teacher made test Vs standardized test
teacher made test Vs standardized test
 
2. meaning of measurement and evaluation
2. meaning of measurement and evaluation2. meaning of measurement and evaluation
2. meaning of measurement and evaluation
 
Evaluation
Evaluation Evaluation
Evaluation
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
CONTINUOUS AND COMPREHENSIVE EVALUATION(CCE)
CONTINUOUS AND COMPREHENSIVE EVALUATION(CCE)CONTINUOUS AND COMPREHENSIVE EVALUATION(CCE)
CONTINUOUS AND COMPREHENSIVE EVALUATION(CCE)
 
OBJECTIVITY OF TESTS ppt.pptx
OBJECTIVITY OF TESTS ppt.pptxOBJECTIVITY OF TESTS ppt.pptx
OBJECTIVITY OF TESTS ppt.pptx
 
Validity, its types, measurement & factors.
Validity, its types, measurement & factors.Validity, its types, measurement & factors.
Validity, its types, measurement & factors.
 
Week 8 & 9 - Validity and Reliability
Week 8 & 9 - Validity and ReliabilityWeek 8 & 9 - Validity and Reliability
Week 8 & 9 - Validity and Reliability
 
Characteristics of Good Evaluation Instrument
Characteristics of Good Evaluation InstrumentCharacteristics of Good Evaluation Instrument
Characteristics of Good Evaluation Instrument
 

Similar to Scaling Z-scores T-scores C-scores

2Grade Sheet for Introduction to Social Research Proposal__.docx
2Grade Sheet for Introduction to Social Research Proposal__.docx2Grade Sheet for Introduction to Social Research Proposal__.docx
2Grade Sheet for Introduction to Social Research Proposal__.docx
tamicawaysmith
 
Course Outcome and Program Outcome Calculation(new method)
Course Outcome and Program Outcome Calculation(new method)Course Outcome and Program Outcome Calculation(new method)
Course Outcome and Program Outcome Calculation(new method)
Ravikumar Tiwari
 
Jujie and saima introduction of statistical concept
Jujie and saima introduction of statistical conceptJujie and saima introduction of statistical concept
Jujie and saima introduction of statistical concept
JUJIE ATILANO
 
9702 s05 ms_all
9702 s05 ms_all9702 s05 ms_all
9702 s05 ms_all
Sajit Chandra Shakya
 
STATISTICS AND PROBABILITY.pptx
STATISTICS AND PROBABILITY.pptxSTATISTICS AND PROBABILITY.pptx
STATISTICS AND PROBABILITY.pptx
Bharathiar University
 
Day 4 normal curve and standard scores
Day 4 normal curve and standard scoresDay 4 normal curve and standard scores
Day 4 normal curve and standard scores
Elih Sutisna Yanto
 
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.pptmeasuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
SoujanyaLk1
 
STAT 200 Final ExaminationFall 2016 OL1US1Page 9 of 9STAT 200.docx
STAT 200 Final ExaminationFall 2016 OL1US1Page 9 of 9STAT 200.docxSTAT 200 Final ExaminationFall 2016 OL1US1Page 9 of 9STAT 200.docx
STAT 200 Final ExaminationFall 2016 OL1US1Page 9 of 9STAT 200.docx
whitneyleman54422
 
Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Jan Nah
 
Topic 8a Basic Statistics
Topic 8a Basic StatisticsTopic 8a Basic Statistics
Topic 8a Basic StatisticsYee Bee Choo
 
Analysis of students’ performance
Analysis of students’ performanceAnalysis of students’ performance
Analysis of students’ performance
Gautam Kumar
 
vinay presentation of mathmatics.pptx
vinay presentation of mathmatics.pptxvinay presentation of mathmatics.pptx
vinay presentation of mathmatics.pptx
KONDURUVINAYVENKAT
 
UKMTLC 2013_6_2015_2_091_097
UKMTLC 2013_6_2015_2_091_097UKMTLC 2013_6_2015_2_091_097
UKMTLC 2013_6_2015_2_091_097Puteri Sarah Diba
 
9702 s04 ms_all
9702 s04 ms_all9702 s04 ms_all
9702 s04 ms_all
Sajit Chandra Shakya
 
STAT 200 Final Examination Fall 2014 OL4 US2 Page 1 of 12 .docx
STAT 200 Final Examination Fall 2014 OL4  US2 Page 1 of 12 .docxSTAT 200 Final Examination Fall 2014 OL4  US2 Page 1 of 12 .docx
STAT 200 Final Examination Fall 2014 OL4 US2 Page 1 of 12 .docx
dessiechisomjj4
 
Derived Scores
Derived ScoresDerived Scores
Derived Scores
Dr. Sarita Anand
 
Measures of variability to grading and reporting
Measures of variability to grading and reportingMeasures of variability to grading and reporting
Measures of variability to grading and reporting
April Gealene Alera
 
St Josephs Geelong Specialist Maths Lecture
St Josephs Geelong Specialist Maths LectureSt Josephs Geelong Specialist Maths Lecture
St Josephs Geelong Specialist Maths Lecture
Andrew Smith
 

Similar to Scaling Z-scores T-scores C-scores (20)

2Grade Sheet for Introduction to Social Research Proposal__.docx
2Grade Sheet for Introduction to Social Research Proposal__.docx2Grade Sheet for Introduction to Social Research Proposal__.docx
2Grade Sheet for Introduction to Social Research Proposal__.docx
 
Course Outcome and Program Outcome Calculation(new method)
Course Outcome and Program Outcome Calculation(new method)Course Outcome and Program Outcome Calculation(new method)
Course Outcome and Program Outcome Calculation(new method)
 
Jujie and saima introduction of statistical concept
Jujie and saima introduction of statistical conceptJujie and saima introduction of statistical concept
Jujie and saima introduction of statistical concept
 
9702 s05 ms_all
9702 s05 ms_all9702 s05 ms_all
9702 s05 ms_all
 
STATISTICS AND PROBABILITY.pptx
STATISTICS AND PROBABILITY.pptxSTATISTICS AND PROBABILITY.pptx
STATISTICS AND PROBABILITY.pptx
 
Day 4 normal curve and standard scores
Day 4 normal curve and standard scoresDay 4 normal curve and standard scores
Day 4 normal curve and standard scores
 
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.pptmeasuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
measuresofcentraltendencymeanmedianmode-140706130428-phpapp01.ppt
 
STAT 200 Final ExaminationFall 2016 OL1US1Page 9 of 9STAT 200.docx
STAT 200 Final ExaminationFall 2016 OL1US1Page 9 of 9STAT 200.docxSTAT 200 Final ExaminationFall 2016 OL1US1Page 9 of 9STAT 200.docx
STAT 200 Final ExaminationFall 2016 OL1US1Page 9 of 9STAT 200.docx
 
Presentation2 bucks-1
Presentation2 bucks-1Presentation2 bucks-1
Presentation2 bucks-1
 
Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency
 
Central tendency m,m,m 1.2
Central tendency m,m,m 1.2Central tendency m,m,m 1.2
Central tendency m,m,m 1.2
 
Topic 8a Basic Statistics
Topic 8a Basic StatisticsTopic 8a Basic Statistics
Topic 8a Basic Statistics
 
Analysis of students’ performance
Analysis of students’ performanceAnalysis of students’ performance
Analysis of students’ performance
 
vinay presentation of mathmatics.pptx
vinay presentation of mathmatics.pptxvinay presentation of mathmatics.pptx
vinay presentation of mathmatics.pptx
 
UKMTLC 2013_6_2015_2_091_097
UKMTLC 2013_6_2015_2_091_097UKMTLC 2013_6_2015_2_091_097
UKMTLC 2013_6_2015_2_091_097
 
9702 s04 ms_all
9702 s04 ms_all9702 s04 ms_all
9702 s04 ms_all
 
STAT 200 Final Examination Fall 2014 OL4 US2 Page 1 of 12 .docx
STAT 200 Final Examination Fall 2014 OL4  US2 Page 1 of 12 .docxSTAT 200 Final Examination Fall 2014 OL4  US2 Page 1 of 12 .docx
STAT 200 Final Examination Fall 2014 OL4 US2 Page 1 of 12 .docx
 
Derived Scores
Derived ScoresDerived Scores
Derived Scores
 
Measures of variability to grading and reporting
Measures of variability to grading and reportingMeasures of variability to grading and reporting
Measures of variability to grading and reporting
 
St Josephs Geelong Specialist Maths Lecture
St Josephs Geelong Specialist Maths LectureSt Josephs Geelong Specialist Maths Lecture
St Josephs Geelong Specialist Maths Lecture
 

Recently uploaded

Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Atul Kumar Singh
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
TechSoup
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
JosvitaDsouza2
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
thanhdowork
 
Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
chanes7
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
tarandeep35
 
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBCSTRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
kimdan468
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
Marketing internship report file for MBA
Marketing internship report file for MBAMarketing internship report file for MBA
Marketing internship report file for MBA
gb193092
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Chapter -12, Antibiotics (One Page Notes).pdf
Chapter -12, Antibiotics (One Page Notes).pdfChapter -12, Antibiotics (One Page Notes).pdf
Chapter -12, Antibiotics (One Page Notes).pdf
Kartik Tiwari
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
DhatriParmar
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
camakaiclarkmusic
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
deeptiverma2406
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 

Recently uploaded (20)

Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
 
1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx1.4 modern child centered education - mahatma gandhi-2.pptx
1.4 modern child centered education - mahatma gandhi-2.pptx
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
 
Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
 
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBCSTRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
Marketing internship report file for MBA
Marketing internship report file for MBAMarketing internship report file for MBA
Marketing internship report file for MBA
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Chapter -12, Antibiotics (One Page Notes).pdf
Chapter -12, Antibiotics (One Page Notes).pdfChapter -12, Antibiotics (One Page Notes).pdf
Chapter -12, Antibiotics (One Page Notes).pdf
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 

Scaling Z-scores T-scores C-scores

  • 1. SCALING: Z- SCORES (Standard Scores) T- SCORES (Transformed Scores) C- Scores SURBHI SHARMA Department of Education UNIVERSITY OF LUCKNOW 25/03/2020 1
  • 2. 25/03/2020 2 • What are SCORES? • What are RAW SCORES? • Meaning of Derived/Converted/ Standard Scores. 1. Z-Scores 1.1 Meaning of Z- Scores 1.2 Calculation of Z- Scores 1.3 Utility of Z- Scores 2. T- Scores 2.1 Meaning of T- Scores 2.2 Calculation of T- Scores 2.3 Utility of T- Scores 3. C- Scores 3.1 Meaning of C- Scores 3.2 Calculation of C- Scores 3.3 Utility of C- Scores • Problem Sums • References
  • 3. 25/03/2020 3 What are Scores? According to Ross – “A score on any test is simply a numerical description of an individual’s performance on that task.”
  • 4. 25/03/2020 4 What are RAW Scores? According to Smith – “Raw Scores are direct counts of the number of items a specified event has occurred, such as - • the number of test items answered correctly, • the number of books read, • the number of errors made in solving a problem, • the number of statements endorsed on a questionnaire, etc.”
  • 5. 25/03/2020 5 I scored 60 in English & 60 in Mathematics. Are my scores in both subjects significantly meaning the same?
  • 6. What should I do now? 25/03/2020 6
  • 7. 25/03/2020 7 Derived Scores / Converted Scores / Standard Scores Meaning: The scores which have a definite reference point or norm, and this norm is the Mean (M) of the scale. Besides, it has a definite standard deviation (). …contd.
  • 8. 25/03/2020 8 Derived Scores / Converted Scores / Standard Scores Types of Derived Scores: • Z- Scores • T- Scores • C-Scores • Stanine Scores • Hull Scores , etc.
  • 9. 25/03/2020 9 In midterm exam, Ram has obtained a score of 55 in mathematics. The Maximum Marks can be scored is 85 for the class The Mean is 50 for the class SITUATION A SITUATION B
  • 10. 25/03/2020 10 1. Z-Scores (Standard Scores): Meaning of Z- Scores: It tells how many standard deviations someone is above or below the mean. Mean(M) = 0 Standard Deviation () = 1 Its value is generally from -3 to +3 The unit of Z-Score is similar to the standard deviation ()
  • 11. 25/03/2020 11 Calculation of Z- Scores/ Sigma-scores (Standard Scores) Where, Z= Z-Score or sigma-score X= Raw Score M= Mean  = Standard Deviation
  • 12. 25/03/2020 12 Ques. 1. The marks obtained by student A in the Mathematics and Language tests of maximum marks 100, each are 80 and 70 respectively. If the mean (M) of mathematics scores of the class students is 60 and standard deviation () 8, and in the language test 40 and 10 respectively; then find out in which subject the student A is more able as compared to other students?
  • 15. 25/03/2020 15 Analysis: Because student A’s Z-score in language is more than that of mathematics, so he is more able in language in the class as compared to mathematics.
  • 16. 25/03/2020 16 Utility of Z-Scores: In Education for meaningful analysis of scores of a students, etc.
  • 17. 25/03/2020 17 2. T-Scores (Transformed Scores): Meaning of T- Scores: T-scores are those converted scores of raw scores of which- Mean(M) = 50 Standard Deviation () = 10 Distribution is Normal.
  • 18. 25/03/2020 18 Calculation of T- Scores: Where, T= T-Score X= Raw Score M= Mean  = Standard Deviation
  • 19. 25/03/2020 19 Calculation of T- Scores: Where, T= T-Score Z= Z-Score
  • 20. 25/03/2020 20 Ques. 2. In Ques. 1 The score in mathematics of student A=80 and Z-Score= 2.5; and the score in language= 70 and Z-Score= 3. Convert these scores into T-Scores.
  • 23. 25/03/2020 23 Row Scores Standard Scores ( Z-Scores) T-Scores 80 2.5 75 70 3 80 Tabulation of Scores :
  • 24. 25/03/2020 24 Utility of T-Scores: If the range of general distribution is taken to be 100, then range of T-Scale becomes from 0 to 100 as a result, therefore the measurement of scores can be done more accurately.
  • 25. 25/03/2020 25 Comparison of Z- Scores & T- Scores
  • 26. 25/03/2020 26 3. C-Scores : Meaning of C- Scores: C-scores are those converted scores of raw scores of which- Mean(M) = 5 Standard Deviation () = 2  Range of Raw Score is displayed on a 11- point scale from 0 to 10.
  • 27. 25/03/2020 27 Calculation of C- Scores: Where, C= C-Score Z= Z-Score Method 1: Using Z-Score
  • 28. 25/03/2020 28 Calculation of C- Scores: Method 2: Using Percentile Rank, that is, a raw score into C-Score by first changing raw scores into percentile rank and then into C-Scores by using the following table:
  • 29. 25/03/2020 29 Utility of C-Scores: In Education, the use of C-Scores is more useful than the use of Z-Scores and T-Scores. However, • C-Score has demerit of being awarding 0- Score. •Also, there comes much difference in % if C-Score goes up/down by even 1- point.
  • 31. 25/03/2020 31 Ques. A. In a testing survey of class X students with N=500, their mean was observed as 80 and standard deviation as 8. Assuming normality of distribution of their scores, how many students would be below the score of a student getting 88? (UGC-Net, 2019) a) 171 b) 421 c) 84 d) 16
  • 32. 25/03/2020 32 Ques. B. A researcher gives two tests-one in English language and another in mathematics. He/She finds the mean & standard deviation of each of the two groups n=100, as follows: Assuming the curve for the two distributions overlapping, how many students in English language are below the mean of those in mathematics? a) 34 b) 84 c) 16 d) 32 English Mathematics Mean(M) 50 60 Standard Deviation() 10 12
  • 33. 25/03/2020 33 Answers : Ques. A 421 Ques. B 34
  • 35. 25/03/2020 35 REFERENCES: 1] Asthana,B.(2015) Measurement and evaluation in psychology and evaluation,Agarwal Publication, Agra. 2] Garrett, H.E.(1952) Statistics in psychology and education, Longmans, Green & Co., London. 3] Gupta, S.C. & Kapoor, V.K.(2011) Fundamentals of Mathematics Statistics, Sultan Chand & Sons, New Delhi.