SlideShare a Scribd company logo
1 of 17
PDU 303 PSIKOMETRIK
VALIDITY
SEMESTER GASAL 2015/2016
FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA
KULIAH VIII - 20 OKTOBER 2015
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
DEFINITION
Validation is the process by which a test developer

or test users collect the evidence to support

the types of inferences that are to be drawn

from test scores (Cronbach, 1971 in Crocker & Algina, 2008: 217).
Validity, as applied to a test, is a judgment or estimate

of how well a test measures what it purports to measure

in a particular context.
More specifically, it is a judgment

based on evidence about the appropriateness

of inferences drawn from test scores (Cohen & Swerdlik, 2009: 172).
2
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
MAJOR TYPES OF VALIDATION STUDIES
3
CONSTRUCT IDENTIFICATION CONTENT DESCRIPTION CRITERION-RELATED
A judgment about the
appropriateness of inferences
drawn from test scores
regarding individual standings
on a variable called a construct.
A judgment of how adequately a
test samples behavior
representative of the universe of
behavior that the test was
designed to sample.
A judgment of how adequately a
test score can be used to infer an
individual’s most probable
standing on some measure of
interest—the measure of
interest being the criterion.
(Cohen & Swerdlik, 2009: 176, 180, 193)ICON CREDITS: Magnifying Glass by Creative Stall, Tomography by Jakob Vogel,

Crystal Ball by Gerardo Martín Martínez; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
MAJOR TYPES OF VALIDATION STUDIES
4
CONSTRUCT IDENTIFICATION CONTENT DESCRIPTION CRITERION-RELATED
The test user desires to draw an
inference from the examinee’s
test score performances that can
be grouped under the label of a
particular psychological
constuct.
The test user desires to draw an
inference from the examinee’s
test score to a larger domain or
items similar to those on the test
itself.
The test user desires to draw an
inference from the examinee’s
test score to performance on
some real behavioral variable of
practical performance.
(Crocker & Algina, 2008: 217-218)
TYPES OF INFERENCES DRAWN
ICON CREDITS: Magnifying Glass by Creative Stall, Tomography by Jakob Vogel,

Crystal Ball by Gerardo Martín Martínez; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
CONSTRUCT IDENTIFICATION VALIDITY
5
(Crocker & Algina, 2008: 230-231)ICON CREDIT: Magnifying Glass by Creative Stall;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
AT THE MINIMUM,
CONSTRUCT
VALIDATION ENTAILS
THE FOLLOWING
STEPS:
Select (or develop) a measurement
instrument which consists of items
representing behaviors of the construct;
Gather empirical data which will permit
the hypothesized relationships to be
tested;
Formulate one or more hypotheses about
how those who differ on the construct are
expected to differ;
CONSTRUCT IDENTIFICATION VALIDITY
5
Determine if the data are consistent with
the hypotheses.
1
2
3
4
(Crocker & Algina, 2008: 230-231)ICON CREDIT: Magnifying Glass by Creative Stall;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
CONSTRUCT IDENTIFICATION VALIDITY
6
EXTERNAL
CRITERIA
CORRELATION
WITH OTHER
TESTS
PROCE-
DURES
INTERNAL
CRITERIA
CONVERGENT &
DISCRIMINANT
VALIDATION
FACTOR
ANALYSIS
INTERNAL
CONSISTENCY
CORRELATION
BETWEEN A
CONSTRUCT &
DESIGNATED
THE
MULTITRAIT-
MULTIMETHOD
MATRIX
(Anastasi & Urbina, 1997: 127-132;

Crocker & Algina, 2008: 231-235)ICON CREDIT: Magnifying Glass by Creative Stall;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
CONTENT DESCRIPTION VALIDITY
7
(Crocker & Algina, 2008: 218)ICON CREDIT: Tomography by Jakob Vogel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
AT THE MINIMUM,
CONTENT VALIDATION
ENTAILS THE
FOLLOWING STEPS:
Selecting a panel of qualified experts in
the content domain;
Providing a structured framework for the
process of matching items to the
performance domain;
Defining the performance domain of
interest;
CONTENT DESCRIPTION VALIDITY
7
Collecting and summarizing the data from
the matching process.
1
2
3
4
(Crocker & Algina, 2008: 218)ICON CREDIT: Tomography by Jakob Vogel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
Should objectives be weighted to
reflect their importance?
CONTENT DESCRIPTION VALIDITY
8
(Crocker & Algina, 2008: 219-222)
How should the item-matching task
be structured?
What aspects of the item should be
examined?
How should the results be
summarized?
PRACTICAL CONSIDERATIONS
ICON CREDITS: Tomography by Jakob Vogel,

Exclamation by Shawn Schmidt; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
KLEIN & KOSECOFF (1975)KATZ (1958) & EBEL (1956)
The expert reviewer read the item
and identify the correct response,
just as an examinee would.
Have each item written on
separate cards; compare each
item to the list of instructional
objectives; and record the
outcome of the matching decision
on a standard form:
Either the item matches or not.
The experts rate the degree of
match to a specified objective by
using a five-point scale, where 1
indicates a poor fit and 5 an
excellent fit.
CONTENT DESCRIPTION VALIDITY
9
(Crocker & Algina, 2008: 219)
THE QUANTIFICATION
HAMBLETON (1980)
ICON CREDIT: Tomography by Jakob Vogel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
CONTENT DESCRIPTION VALIDITY
One method of measuring content validity, developed by C. H. Lawshe (1975),

is essentially a method for gauging agreement among raters or judges
regarding how essential a particular item is.
10
(Cohen & Swerdlik, 177-178)
THE QUANTIFICATION
CVR =
ne - (N/2)
N/2
NUMBER OF PANELIST MINIMUM VALUE
5 0,99
6 0,99
7 0,99
8 0,75
9 0,78
10 0,62
ICON CREDIT: Tomography by Jakob Vogel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
CRITERION-RELATED VALIDITY
11
(Crocker & Algina, 2008: 224)ICON CREDIT: Crystal Ball by Gerardo Martín Martínez;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
AT THE MINIMUM,
CRITERION
VALIDATION ENTAILS
THE FOLLOWING
STEPS:
Identify an appropriate sample of examinees
representative of those for whom the test will
ultimately be used;
Administer the test and keep a record of each
examinee’s score;
Identify a suitable criterion behavior and a
method for measuring it;
CRITERION-RELATED VALIDITY
11
Determine the strength of the relationship
between test scores and criterion
performance.
1
2
3
(Crocker & Algina, 2008: 224)
4
5
When the criterion data are available, obtain a
measure of performance on the criterion for
each examinee;
ICON CREDIT: Crystal Ball by Gerardo Martín Martínez;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
RELIABILITY OF P & C
SAMPLE SIZETHE CRITERION PROBLEM
RESTRICTION OF RANGE
CRITERION CONTAMINATION
There must be a judicious tradeoff in
selecting a criterion which:
1. can be reliably measured within the
time and cost constraints of the
study;
2. will have a relationship to the
ultimate criterion of interest in most
test users.
When validity coefficients are estimated
for small samples, sampling errors are
relatively large, and the statistical power
of the inferential procedures used to
analyze data from the validation study
may be substantially reduced.
During a validation study persons who
will be able to influence examinees’
criterion scores should not have access
to examinees’ scores on the predictor.
Restriction of the range of scores on
either the redictor or criterion may result
in attenuation of the observed validity
coefficient.
In any attempt to asses the degree of
relationship between a predictor and
criterion, it would seem logical that
errors of measurement should be held
minimum.
CRITERION-RELATED VALIDITY
12
PRACTICAL PROBLEMS
(Crocker & Algina, 2008: 225-228)ICON CREDIT: Crystal Ball by Gerardo Martín Martínez;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK
CRITERION-RELATED VALIDITY
13
THE QUANTIFICATION
CONCURRENT PREDICTIVE
The test are administered to a
group on whom criterion data
are already available.
Prediction from the test to any
criterion situation, or in the more
limited sense of prediction over a
time interval.
(Anastasi & Urbina, 1997: 118-119)ICON CREDIT: Crystal Ball by Gerardo Martín Martínez;

from the Noun Project
2.1.
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK 14
WANT TO KNOW MORE?
ANASTASI, A. & URBINA, S. (1997). PSYCHOLOGICAL TESTING (7TH ED.). UPPER
SADDLE RIVER, NJ: PRENTICE-HALL, INC.
COHEN, R.J. & SWERDLIK, M.E. (2009). PSYCHOLOGICAL TESTING AND
ASSESSMENT: AN INTRODUCTION TO TESTS AND MEASUREMENT (7TH ED.).
BOSTON, MA: MCGRAW-HILL HIGHER EDUCATION.
CROCKER, L. & ALGINA, J. (2008). INTRODUCTION TO CLASSICAL AND
MODERN TEST THEORY. MASON, OH: CENGAGE LEARNING.

More Related Content

What's hot

PDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting ResearchPDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting ResearchAgatha N. Ardhiati
 
PDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research DesignsPDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research DesignsAgatha N. Ardhiati
 
Vol 16 No 1 - Janaury 2017
Vol 16 No 1 - Janaury 2017Vol 16 No 1 - Janaury 2017
Vol 16 No 1 - Janaury 2017ijlterorg
 
Validity and reliability of the instrument
Validity and reliability of the instrumentValidity and reliability of the instrument
Validity and reliability of the instrumentBhumi Patel
 
How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...
How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...
How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...Kevin McGrew
 
MAT80 - White paper july 2017 - Prof. P. Irwing
MAT80 - White paper july 2017 - Prof. P. IrwingMAT80 - White paper july 2017 - Prof. P. Irwing
MAT80 - White paper july 2017 - Prof. P. IrwingPaul Irwing
 
International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI) International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI) inventionjournals
 
"intelligent" intelligence testing: Evaluating wihtin CHC domain test score ...
"intelligent" intelligence testing:  Evaluating wihtin CHC domain test score ..."intelligent" intelligence testing:  Evaluating wihtin CHC domain test score ...
"intelligent" intelligence testing: Evaluating wihtin CHC domain test score ...Kevin McGrew
 
Brm assignments
Brm assignmentsBrm assignments
Brm assignmentsUzma Azam
 
David Hand:Trustworthiness of statistical analysis
David Hand:Trustworthiness of statistical analysisDavid Hand:Trustworthiness of statistical analysis
David Hand:Trustworthiness of statistical analysisjemille6
 
Reliability And Validity
Reliability And ValidityReliability And Validity
Reliability And ValidityJames Penny
 
Business research methods pp ts 11
Business research methods pp ts  11Business research methods pp ts  11
Business research methods pp ts 11Ravinder Singh
 
Ahmad measuremenr reliability and validity
Ahmad measuremenr reliability and validityAhmad measuremenr reliability and validity
Ahmad measuremenr reliability and validityAhd Ryn
 
Chapter 8 compilation
Chapter 8 compilationChapter 8 compilation
Chapter 8 compilationHannan Mahmud
 
Session 2 2018
Session 2 2018Session 2 2018
Session 2 2018Sue Hines
 
The overlaps between Action Research and Design Research
The overlaps between Action Research and Design ResearchThe overlaps between Action Research and Design Research
The overlaps between Action Research and Design ResearchSandeep Purao
 

What's hot (19)

PDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting ResearchPDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting Research
 
PDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research DesignsPDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research Designs
 
Vol 16 No 1 - Janaury 2017
Vol 16 No 1 - Janaury 2017Vol 16 No 1 - Janaury 2017
Vol 16 No 1 - Janaury 2017
 
Validity and reliability of the instrument
Validity and reliability of the instrumentValidity and reliability of the instrument
Validity and reliability of the instrument
 
How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...
How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...
How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...
 
MAT80 - White paper july 2017 - Prof. P. Irwing
MAT80 - White paper july 2017 - Prof. P. IrwingMAT80 - White paper july 2017 - Prof. P. Irwing
MAT80 - White paper july 2017 - Prof. P. Irwing
 
International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI) International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI)
 
"intelligent" intelligence testing: Evaluating wihtin CHC domain test score ...
"intelligent" intelligence testing:  Evaluating wihtin CHC domain test score ..."intelligent" intelligence testing:  Evaluating wihtin CHC domain test score ...
"intelligent" intelligence testing: Evaluating wihtin CHC domain test score ...
 
Brm assignments
Brm assignmentsBrm assignments
Brm assignments
 
Reliablity and Validity
Reliablity and ValidityReliablity and Validity
Reliablity and Validity
 
David Hand:Trustworthiness of statistical analysis
David Hand:Trustworthiness of statistical analysisDavid Hand:Trustworthiness of statistical analysis
David Hand:Trustworthiness of statistical analysis
 
Reliability And Validity
Reliability And ValidityReliability And Validity
Reliability And Validity
 
Business research methods pp ts 11
Business research methods pp ts  11Business research methods pp ts  11
Business research methods pp ts 11
 
Welcome to OCC212
Welcome to OCC212Welcome to OCC212
Welcome to OCC212
 
Ahmad measuremenr reliability and validity
Ahmad measuremenr reliability and validityAhmad measuremenr reliability and validity
Ahmad measuremenr reliability and validity
 
Chapter 8 compilation
Chapter 8 compilationChapter 8 compilation
Chapter 8 compilation
 
Session 2 2018
Session 2 2018Session 2 2018
Session 2 2018
 
Internal audit jurnal
Internal audit jurnalInternal audit jurnal
Internal audit jurnal
 
The overlaps between Action Research and Design Research
The overlaps between Action Research and Design ResearchThe overlaps between Action Research and Design Research
The overlaps between Action Research and Design Research
 

Viewers also liked

PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...Agatha N. Ardhiati
 
PORTFOLIO Joris Claeys (NL)
PORTFOLIO Joris Claeys (NL)PORTFOLIO Joris Claeys (NL)
PORTFOLIO Joris Claeys (NL)Joris Claeys
 
PDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative DataPDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative DataAgatha N. Ardhiati
 
Psikologi Pendidikan
Psikologi PendidikanPsikologi Pendidikan
Psikologi PendidikanAini Liyana
 
PDU 202 Qualitative Research Method: Presenting Qualitative Data
PDU 202 Qualitative Research Method: Presenting Qualitative DataPDU 202 Qualitative Research Method: Presenting Qualitative Data
PDU 202 Qualitative Research Method: Presenting Qualitative DataAgatha N. Ardhiati
 
PDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative DataPDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative DataAgatha N. Ardhiati
 
PDU 207 Basic Statistics: Variability
PDU 207 Basic Statistics: VariabilityPDU 207 Basic Statistics: Variability
PDU 207 Basic Statistics: VariabilityAgatha N. Ardhiati
 
PDU 207 Basic Statistics: Introduction to Statistics
PDU 207 Basic Statistics: Introduction to StatisticsPDU 207 Basic Statistics: Introduction to Statistics
PDU 207 Basic Statistics: Introduction to StatisticsAgatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...Agatha N. Ardhiati
 
Analisa swot percetakan graphindo berkah utama
Analisa swot percetakan graphindo berkah utamaAnalisa swot percetakan graphindo berkah utama
Analisa swot percetakan graphindo berkah utamaDoni Andriansyah
 
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to ObservationPDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to ObservationAgatha N. Ardhiati
 
PDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research ProblemPDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research ProblemAgatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...Agatha N. Ardhiati
 
PDU 202 Qualitative Research Method: Data Collection
PDU 202 Qualitative Research Method: Data CollectionPDU 202 Qualitative Research Method: Data Collection
PDU 202 Qualitative Research Method: Data CollectionAgatha N. Ardhiati
 
Observasi Restoran Dengan Metode SWOT
Observasi Restoran Dengan Metode SWOTObservasi Restoran Dengan Metode SWOT
Observasi Restoran Dengan Metode SWOTEko Mardianto
 
Hasil wawancara dengan narasumber
Hasil wawancara dengan narasumberHasil wawancara dengan narasumber
Hasil wawancara dengan narasumberPP. Inayatullah
 
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & TechniquesPDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & TechniquesAgatha N. Ardhiati
 

Viewers also liked (20)

PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
 
PORTFOLIO Joris Claeys (NL)
PORTFOLIO Joris Claeys (NL)PORTFOLIO Joris Claeys (NL)
PORTFOLIO Joris Claeys (NL)
 
Jurusan psikologi
Jurusan psikologiJurusan psikologi
Jurusan psikologi
 
O'hany
O'hanyO'hany
O'hany
 
PDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative DataPDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative Data
 
Psikologi Pendidikan
Psikologi PendidikanPsikologi Pendidikan
Psikologi Pendidikan
 
PDU 202 Qualitative Research Method: Presenting Qualitative Data
PDU 202 Qualitative Research Method: Presenting Qualitative DataPDU 202 Qualitative Research Method: Presenting Qualitative Data
PDU 202 Qualitative Research Method: Presenting Qualitative Data
 
PDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative DataPDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative Data
 
PDU 207 Basic Statistics: Variability
PDU 207 Basic Statistics: VariabilityPDU 207 Basic Statistics: Variability
PDU 207 Basic Statistics: Variability
 
PDU 207 Basic Statistics: Introduction to Statistics
PDU 207 Basic Statistics: Introduction to StatisticsPDU 207 Basic Statistics: Introduction to Statistics
PDU 207 Basic Statistics: Introduction to Statistics
 
Public Display of Affection
Public Display of AffectionPublic Display of Affection
Public Display of Affection
 
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
 
Analisa swot percetakan graphindo berkah utama
Analisa swot percetakan graphindo berkah utamaAnalisa swot percetakan graphindo berkah utama
Analisa swot percetakan graphindo berkah utama
 
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to ObservationPDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
 
PDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research ProblemPDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research Problem
 
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
 
PDU 202 Qualitative Research Method: Data Collection
PDU 202 Qualitative Research Method: Data CollectionPDU 202 Qualitative Research Method: Data Collection
PDU 202 Qualitative Research Method: Data Collection
 
Observasi Restoran Dengan Metode SWOT
Observasi Restoran Dengan Metode SWOTObservasi Restoran Dengan Metode SWOT
Observasi Restoran Dengan Metode SWOT
 
Hasil wawancara dengan narasumber
Hasil wawancara dengan narasumberHasil wawancara dengan narasumber
Hasil wawancara dengan narasumber
 
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & TechniquesPDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
 

Similar to PDU 303 Psychometrics: Validity

ACT Research Report Series Generalizing Criterion-Related Validity Evidence ...
ACT Research Report Series  Generalizing Criterion-Related Validity Evidence ...ACT Research Report Series  Generalizing Criterion-Related Validity Evidence ...
ACT Research Report Series Generalizing Criterion-Related Validity Evidence ...Allison Koehn
 
Trends in Computer Science and Information Technology
Trends in Computer Science and Information TechnologyTrends in Computer Science and Information Technology
Trends in Computer Science and Information Technologypeertechzpublication
 
PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...
PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...
PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...ijseajournal
 
Validity, Reliability and Feasibility
Validity, Reliability and FeasibilityValidity, Reliability and Feasibility
Validity, Reliability and FeasibilityJasna3134
 
Applied of Statistics in Quality Control-Safeen Yaseen.pdf
Applied of Statistics in Quality Control-Safeen Yaseen.pdfApplied of Statistics in Quality Control-Safeen Yaseen.pdf
Applied of Statistics in Quality Control-Safeen Yaseen.pdfSafeen Yaseen Ja'far
 
Applied of Statistics in Quality Control-Safeen Yaseen.pdf
Applied of Statistics in Quality Control-Safeen Yaseen.pdfApplied of Statistics in Quality Control-Safeen Yaseen.pdf
Applied of Statistics in Quality Control-Safeen Yaseen.pdfSafeen Yaseen Ja'far
 
Influence of Table of Specification on the Construction of Ordinary Level Phy...
Influence of Table of Specification on the Construction of Ordinary Level Phy...Influence of Table of Specification on the Construction of Ordinary Level Phy...
Influence of Table of Specification on the Construction of Ordinary Level Phy...ijtsrd
 
Using Multi-Criteria Decision and knowledge representation methodologies for ...
Using Multi-Criteria Decision and knowledge representation methodologies for ...Using Multi-Criteria Decision and knowledge representation methodologies for ...
Using Multi-Criteria Decision and knowledge representation methodologies for ...Nit Celesc
 
Presentation validity
Presentation validityPresentation validity
Presentation validityAshMusavi
 
Validation gaining confidence in simulation Darre Odeleye CEng MIMechE
Validation gaining confidence in simulation Darre Odeleye CEng MIMechEValidation gaining confidence in simulation Darre Odeleye CEng MIMechE
Validation gaining confidence in simulation Darre Odeleye CEng MIMechEDarre Odeleye
 
IRJET- Study on Quality Control of Project Management System
IRJET-  	  Study on Quality Control of Project Management SystemIRJET-  	  Study on Quality Control of Project Management System
IRJET- Study on Quality Control of Project Management SystemIRJET Journal
 
Reliability Analysis Of Refined Model With 25 Items And 5...
Reliability Analysis Of Refined Model With 25 Items And 5...Reliability Analysis Of Refined Model With 25 Items And 5...
Reliability Analysis Of Refined Model With 25 Items And 5...Jessica Myers
 
admin,+8-1540+eng+++ (2).pdf
admin,+8-1540+eng+++ (2).pdfadmin,+8-1540+eng+++ (2).pdf
admin,+8-1540+eng+++ (2).pdfSayidMuhammed
 
admin,+8-1540+eng+++ (3).pdf
admin,+8-1540+eng+++ (3).pdfadmin,+8-1540+eng+++ (3).pdf
admin,+8-1540+eng+++ (3).pdfSayidMuhammed
 
admin,+8-1540+eng+++ (1).pdf
admin,+8-1540+eng+++ (1).pdfadmin,+8-1540+eng+++ (1).pdf
admin,+8-1540+eng+++ (1).pdfSayidMuhammed
 

Similar to PDU 303 Psychometrics: Validity (20)

Early product reliability prediction
Early product reliability predictionEarly product reliability prediction
Early product reliability prediction
 
ACT Research Report Series Generalizing Criterion-Related Validity Evidence ...
ACT Research Report Series  Generalizing Criterion-Related Validity Evidence ...ACT Research Report Series  Generalizing Criterion-Related Validity Evidence ...
ACT Research Report Series Generalizing Criterion-Related Validity Evidence ...
 
Trends in Computer Science and Information Technology
Trends in Computer Science and Information TechnologyTrends in Computer Science and Information Technology
Trends in Computer Science and Information Technology
 
Ch 7 Case 1
Ch 7 Case 1Ch 7 Case 1
Ch 7 Case 1
 
Validity
ValidityValidity
Validity
 
Sreya_Chatterjee_resume
Sreya_Chatterjee_resumeSreya_Chatterjee_resume
Sreya_Chatterjee_resume
 
PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...
PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...
PRODUCT QUALITY EVALUATION METHOD (PQEM): TO UNDERSTAND THE EVOLUTION OF QUAL...
 
Validity, Reliability and Feasibility
Validity, Reliability and FeasibilityValidity, Reliability and Feasibility
Validity, Reliability and Feasibility
 
Applied of Statistics in Quality Control-Safeen Yaseen.pdf
Applied of Statistics in Quality Control-Safeen Yaseen.pdfApplied of Statistics in Quality Control-Safeen Yaseen.pdf
Applied of Statistics in Quality Control-Safeen Yaseen.pdf
 
Applied of Statistics in Quality Control-Safeen Yaseen.pdf
Applied of Statistics in Quality Control-Safeen Yaseen.pdfApplied of Statistics in Quality Control-Safeen Yaseen.pdf
Applied of Statistics in Quality Control-Safeen Yaseen.pdf
 
Influence of Table of Specification on the Construction of Ordinary Level Phy...
Influence of Table of Specification on the Construction of Ordinary Level Phy...Influence of Table of Specification on the Construction of Ordinary Level Phy...
Influence of Table of Specification on the Construction of Ordinary Level Phy...
 
Using Multi-Criteria Decision and knowledge representation methodologies for ...
Using Multi-Criteria Decision and knowledge representation methodologies for ...Using Multi-Criteria Decision and knowledge representation methodologies for ...
Using Multi-Criteria Decision and knowledge representation methodologies for ...
 
Lecture 2.pptx
Lecture 2.pptxLecture 2.pptx
Lecture 2.pptx
 
Presentation validity
Presentation validityPresentation validity
Presentation validity
 
Validation gaining confidence in simulation Darre Odeleye CEng MIMechE
Validation gaining confidence in simulation Darre Odeleye CEng MIMechEValidation gaining confidence in simulation Darre Odeleye CEng MIMechE
Validation gaining confidence in simulation Darre Odeleye CEng MIMechE
 
IRJET- Study on Quality Control of Project Management System
IRJET-  	  Study on Quality Control of Project Management SystemIRJET-  	  Study on Quality Control of Project Management System
IRJET- Study on Quality Control of Project Management System
 
Reliability Analysis Of Refined Model With 25 Items And 5...
Reliability Analysis Of Refined Model With 25 Items And 5...Reliability Analysis Of Refined Model With 25 Items And 5...
Reliability Analysis Of Refined Model With 25 Items And 5...
 
admin,+8-1540+eng+++ (2).pdf
admin,+8-1540+eng+++ (2).pdfadmin,+8-1540+eng+++ (2).pdf
admin,+8-1540+eng+++ (2).pdf
 
admin,+8-1540+eng+++ (3).pdf
admin,+8-1540+eng+++ (3).pdfadmin,+8-1540+eng+++ (3).pdf
admin,+8-1540+eng+++ (3).pdf
 
admin,+8-1540+eng+++ (1).pdf
admin,+8-1540+eng+++ (1).pdfadmin,+8-1540+eng+++ (1).pdf
admin,+8-1540+eng+++ (1).pdf
 

More from Agatha N. Ardhiati

PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - IntroductionPDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - IntroductionAgatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: ObservationsPDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: ObservationsAgatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative RecordingPDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative RecordingAgatha N. Ardhiati
 
PDU 207 Basic Statistics: Central Tendency
PDU 207 Basic Statistics: Central TendencyPDU 207 Basic Statistics: Central Tendency
PDU 207 Basic Statistics: Central TendencyAgatha N. Ardhiati
 
PDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency DistributionPDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency DistributionAgatha N. Ardhiati
 
PDU 202 Qualitative Research Method: Data Analysis
PDU 202 Qualitative Research Method: Data AnalysisPDU 202 Qualitative Research Method: Data Analysis
PDU 202 Qualitative Research Method: Data AnalysisAgatha N. Ardhiati
 

More from Agatha N. Ardhiati (7)

PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - IntroductionPDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
 
PDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: ObservationsPDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: Observations
 
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
 
PDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative RecordingPDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative Recording
 
PDU 207 Basic Statistics: Central Tendency
PDU 207 Basic Statistics: Central TendencyPDU 207 Basic Statistics: Central Tendency
PDU 207 Basic Statistics: Central Tendency
 
PDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency DistributionPDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency Distribution
 
PDU 202 Qualitative Research Method: Data Analysis
PDU 202 Qualitative Research Method: Data AnalysisPDU 202 Qualitative Research Method: Data Analysis
PDU 202 Qualitative Research Method: Data Analysis
 

Recently uploaded

Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupJonathanParaisoCruz
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,Virag Sontakke
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...jaredbarbolino94
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 
Biting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfBiting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfadityarao40181
 

Recently uploaded (20)

Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized Group
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...Historical philosophical, theoretical, and legal foundations of special and i...
Historical philosophical, theoretical, and legal foundations of special and i...
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Biting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdfBiting mechanism of poisonous snakes.pdf
Biting mechanism of poisonous snakes.pdf
 

PDU 303 Psychometrics: Validity

  • 1. PDU 303 PSIKOMETRIK VALIDITY SEMESTER GASAL 2015/2016 FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA KULIAH VIII - 20 OKTOBER 2015
  • 2. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK DEFINITION Validation is the process by which a test developer
 or test users collect the evidence to support
 the types of inferences that are to be drawn
 from test scores (Cronbach, 1971 in Crocker & Algina, 2008: 217). Validity, as applied to a test, is a judgment or estimate
 of how well a test measures what it purports to measure
 in a particular context. More specifically, it is a judgment
 based on evidence about the appropriateness
 of inferences drawn from test scores (Cohen & Swerdlik, 2009: 172). 2
  • 3. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK MAJOR TYPES OF VALIDATION STUDIES 3 CONSTRUCT IDENTIFICATION CONTENT DESCRIPTION CRITERION-RELATED A judgment about the appropriateness of inferences drawn from test scores regarding individual standings on a variable called a construct. A judgment of how adequately a test samples behavior representative of the universe of behavior that the test was designed to sample. A judgment of how adequately a test score can be used to infer an individual’s most probable standing on some measure of interest—the measure of interest being the criterion. (Cohen & Swerdlik, 2009: 176, 180, 193)ICON CREDITS: Magnifying Glass by Creative Stall, Tomography by Jakob Vogel,
 Crystal Ball by Gerardo Martín Martínez; from the Noun Project
  • 4. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK MAJOR TYPES OF VALIDATION STUDIES 4 CONSTRUCT IDENTIFICATION CONTENT DESCRIPTION CRITERION-RELATED The test user desires to draw an inference from the examinee’s test score performances that can be grouped under the label of a particular psychological constuct. The test user desires to draw an inference from the examinee’s test score to a larger domain or items similar to those on the test itself. The test user desires to draw an inference from the examinee’s test score to performance on some real behavioral variable of practical performance. (Crocker & Algina, 2008: 217-218) TYPES OF INFERENCES DRAWN ICON CREDITS: Magnifying Glass by Creative Stall, Tomography by Jakob Vogel,
 Crystal Ball by Gerardo Martín Martínez; from the Noun Project
  • 5. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK CONSTRUCT IDENTIFICATION VALIDITY 5 (Crocker & Algina, 2008: 230-231)ICON CREDIT: Magnifying Glass by Creative Stall;
 from the Noun Project
  • 6. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK AT THE MINIMUM, CONSTRUCT VALIDATION ENTAILS THE FOLLOWING STEPS: Select (or develop) a measurement instrument which consists of items representing behaviors of the construct; Gather empirical data which will permit the hypothesized relationships to be tested; Formulate one or more hypotheses about how those who differ on the construct are expected to differ; CONSTRUCT IDENTIFICATION VALIDITY 5 Determine if the data are consistent with the hypotheses. 1 2 3 4 (Crocker & Algina, 2008: 230-231)ICON CREDIT: Magnifying Glass by Creative Stall;
 from the Noun Project
  • 7. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK CONSTRUCT IDENTIFICATION VALIDITY 6 EXTERNAL CRITERIA CORRELATION WITH OTHER TESTS PROCE- DURES INTERNAL CRITERIA CONVERGENT & DISCRIMINANT VALIDATION FACTOR ANALYSIS INTERNAL CONSISTENCY CORRELATION BETWEEN A CONSTRUCT & DESIGNATED THE MULTITRAIT- MULTIMETHOD MATRIX (Anastasi & Urbina, 1997: 127-132;
 Crocker & Algina, 2008: 231-235)ICON CREDIT: Magnifying Glass by Creative Stall;
 from the Noun Project
  • 8. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK CONTENT DESCRIPTION VALIDITY 7 (Crocker & Algina, 2008: 218)ICON CREDIT: Tomography by Jakob Vogel;
 from the Noun Project
  • 9. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK AT THE MINIMUM, CONTENT VALIDATION ENTAILS THE FOLLOWING STEPS: Selecting a panel of qualified experts in the content domain; Providing a structured framework for the process of matching items to the performance domain; Defining the performance domain of interest; CONTENT DESCRIPTION VALIDITY 7 Collecting and summarizing the data from the matching process. 1 2 3 4 (Crocker & Algina, 2008: 218)ICON CREDIT: Tomography by Jakob Vogel;
 from the Noun Project
  • 10. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK Should objectives be weighted to reflect their importance? CONTENT DESCRIPTION VALIDITY 8 (Crocker & Algina, 2008: 219-222) How should the item-matching task be structured? What aspects of the item should be examined? How should the results be summarized? PRACTICAL CONSIDERATIONS ICON CREDITS: Tomography by Jakob Vogel,
 Exclamation by Shawn Schmidt; from the Noun Project
  • 11. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK KLEIN & KOSECOFF (1975)KATZ (1958) & EBEL (1956) The expert reviewer read the item and identify the correct response, just as an examinee would. Have each item written on separate cards; compare each item to the list of instructional objectives; and record the outcome of the matching decision on a standard form: Either the item matches or not. The experts rate the degree of match to a specified objective by using a five-point scale, where 1 indicates a poor fit and 5 an excellent fit. CONTENT DESCRIPTION VALIDITY 9 (Crocker & Algina, 2008: 219) THE QUANTIFICATION HAMBLETON (1980) ICON CREDIT: Tomography by Jakob Vogel;
 from the Noun Project
  • 12. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK CONTENT DESCRIPTION VALIDITY One method of measuring content validity, developed by C. H. Lawshe (1975),
 is essentially a method for gauging agreement among raters or judges regarding how essential a particular item is. 10 (Cohen & Swerdlik, 177-178) THE QUANTIFICATION CVR = ne - (N/2) N/2 NUMBER OF PANELIST MINIMUM VALUE 5 0,99 6 0,99 7 0,99 8 0,75 9 0,78 10 0,62 ICON CREDIT: Tomography by Jakob Vogel;
 from the Noun Project
  • 13. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK CRITERION-RELATED VALIDITY 11 (Crocker & Algina, 2008: 224)ICON CREDIT: Crystal Ball by Gerardo Martín Martínez;
 from the Noun Project
  • 14. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK AT THE MINIMUM, CRITERION VALIDATION ENTAILS THE FOLLOWING STEPS: Identify an appropriate sample of examinees representative of those for whom the test will ultimately be used; Administer the test and keep a record of each examinee’s score; Identify a suitable criterion behavior and a method for measuring it; CRITERION-RELATED VALIDITY 11 Determine the strength of the relationship between test scores and criterion performance. 1 2 3 (Crocker & Algina, 2008: 224) 4 5 When the criterion data are available, obtain a measure of performance on the criterion for each examinee; ICON CREDIT: Crystal Ball by Gerardo Martín Martínez;
 from the Noun Project
  • 15. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK RELIABILITY OF P & C SAMPLE SIZETHE CRITERION PROBLEM RESTRICTION OF RANGE CRITERION CONTAMINATION There must be a judicious tradeoff in selecting a criterion which: 1. can be reliably measured within the time and cost constraints of the study; 2. will have a relationship to the ultimate criterion of interest in most test users. When validity coefficients are estimated for small samples, sampling errors are relatively large, and the statistical power of the inferential procedures used to analyze data from the validation study may be substantially reduced. During a validation study persons who will be able to influence examinees’ criterion scores should not have access to examinees’ scores on the predictor. Restriction of the range of scores on either the redictor or criterion may result in attenuation of the observed validity coefficient. In any attempt to asses the degree of relationship between a predictor and criterion, it would seem logical that errors of measurement should be held minimum. CRITERION-RELATED VALIDITY 12 PRACTICAL PROBLEMS (Crocker & Algina, 2008: 225-228)ICON CREDIT: Crystal Ball by Gerardo Martín Martínez;
 from the Noun Project
  • 16. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK CRITERION-RELATED VALIDITY 13 THE QUANTIFICATION CONCURRENT PREDICTIVE The test are administered to a group on whom criterion data are already available. Prediction from the test to any criterion situation, or in the more limited sense of prediction over a time interval. (Anastasi & Urbina, 1997: 118-119)ICON CREDIT: Crystal Ball by Gerardo Martín Martínez;
 from the Noun Project 2.1.
  • 17. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 303 PSIKOMETRIK 14 WANT TO KNOW MORE? ANASTASI, A. & URBINA, S. (1997). PSYCHOLOGICAL TESTING (7TH ED.). UPPER SADDLE RIVER, NJ: PRENTICE-HALL, INC. COHEN, R.J. & SWERDLIK, M.E. (2009). PSYCHOLOGICAL TESTING AND ASSESSMENT: AN INTRODUCTION TO TESTS AND MEASUREMENT (7TH ED.). BOSTON, MA: MCGRAW-HILL HIGHER EDUCATION. CROCKER, L. & ALGINA, J. (2008). INTRODUCTION TO CLASSICAL AND MODERN TEST THEORY. MASON, OH: CENGAGE LEARNING.