Delements element type in data = N

Delements= specifies the element identifier in the data file for the Labels= facet.

 

Format 1: Delements = type

Delements = N

all element identifiers in the data are element numbers in Labels=. Element identifiers like "1-4" are treated as ranges of elements: 1,2,3,4

Delements = L

all element identifiers in the data are element labels in Labels=. Element identifiers like "1-4" are treated as the labels of single elements: "1-4". Element numbers without labels in Labels= are matched on the numerical text of the numbers. Null elements can be matched on the Null element number or its element label.

Delements = NL

Warning! This can cause unintended matches. It is safer to use Format 2.

all element identifiers in the data can be both element numbers and element labels in Labels=. Element numbers are matched first. If the element identifier in the data does not match any element number for the specified facet, the identifier is matched with the element labels. Element identifiers like "1-4" are treated as ranges of elements: 1,2,3,4

Delements = LN

Warning! This can cause unintended matches. It is safer to use Format 2.

all element identifiers in the data can be both element numbers and element labels in Labels=. Element labels are matched first. If the element identifier in the data does not match any element label for the specified facet, the identifier is matched with the element numbers.  Element identifiers like "1-4" are treated as the labels of single elements: "1-4". If the element label "1-4" is not found, then the element identifier 1-4 are treated as ranges of elements: 1,2,3,4

 

Format 2: Delements = Facet number + type, Facet number + type, ...

Example: Delements = 1N, 2L, 3NL,4LN,0L

1N

facet 1 element identifiers in the data are element numbers in Labels=

2L

facet 2 element identifiers  in the data are element labels in Labels=

3NL

facet 3 element identifiers in the data can be both element numbers and element labels in Labels=. Element numbers are matched first. If the element identifier does not match any element number for the specified facet, the identifier is matched with the element labels.

4LN

facet 4 element identifiers in the data can be both element numbers and element labels in Labels=. Element labels are matched first. If the element identifier in the data does not match any element label for the specified facet, the identifier is matched with the element numbers

0L

When a facet in the data is skipped with Entered=1,0,2, the element identifiers in the data for facet 0 may be numbers, labels or both. 0L specifies that they are labels so that element identifiers like "1-4" are to be treated as single elements, not ranges of elements.

 

Format 3: Delements = Facet number + type + label-matching location

Example: Delements = 3LS2W3

1NS2W3, (substring is ignored)

facet 1 element identifiers in the data are element numbers in Labels=

2LS2W3 or 2NLS2W3 or 2LNS2W3

facet 2 element identifiers  in the data are in the element labels in Labels=. They are S2W3, starting in column 2 of the element label with a width of 3 columns.

 

Delements = L or N or NL or LN - Matching element identifiers in the data with Labels= element labels

Delements=

When matching an element identifier in the data with element numbers or labels in Labels=, the priority is:

N or NL

or LN (if no element label match)

The identifier in the data is matched with the element number in the facet list

Facet 1: "7" in the data matches element number "7" so the element number for analysis is 7

Labels=

1, Grade level

7= Grade seven

*

Data=

7, x21, boy, run, M, 1

Facets = 5

 

Labels=

1, Grade level

7= Grade seven

*

2, cohort

8= myx21pq

*

3, gender facet

2 = boy: male student

*

4, activity facet

4 = run

*

5, school facet

8= Marymount

*

Data=

7, x21, boy, run, M, 1

2LS3E5 or 2LS3W3

or

2LNS3E5 or 2LNS3W3

or

2NLS3E5 or 2NLS3W3 (if no element number match)

The identifier is an exact match to the segment of an element label specified with S..W.. or S..E..

Facet 2: "x21" in the data matches "x21" in columns 3,4,5, so the element number is 8

Labels=

2, cohort

8= myx21pq

*

Data=

7, x21, boy, run, M, 1

L or LN

or NL (if no element number match)

The identifier is an exact match to the part of an element label before : (a colon)

Facet 3: "boy" in the data matches "boy:". so the element number is 2

Labels=

3, gender facet

2 = boy: male student

*

Data=

7, x21, boy, run, M, 1

L or LN

or NL (if no element number match)

The identifier is an exact match with an element label without a  : (a colon)

Facet 4: "run" in the data matches "run:". so the element number is 4

Labels=

4, activity facet

4 = run

*

Data=

7, x21, boy, run, M, 1

L or LN

or NL (if no element number match)

The identifier is a leading-character match with an element label that has no : (a colon)

Facet 5: "M" in the data matches the leading M in "Marymount", so the element number is 8

Labels=

5, school facet

8= Marymount

*

Data=

7, x21, boy, run, M, 1

 

Example 1: in the data, the facet 1 element identifiers are element labels, for facet 2, element numbers, and for facet 3 are element labels. The observations are 0-1 dichotomies:

 

Facets = 3

Delements = 1L, 2N, 3L

Labels =

1, Gender

1= Female

2= Male

*

2, Zip code

60601 = Central Chicago
60637 = Hype Park Chicago

...

*

3, Income

1 = Low

2 = Medium

3 = High

*

Data =

F 60637 2 0   ; Female, 60637 Zip code, Medium income, No

M 60601 3 1  ; Male, 60601 Zip code, High income, Yes

 

Example 2: chess tournament: paired comparisons with element labels. Facet 1 element identifiers are labels. Facet 2 element identifiers are numbers.

 

Facets = 3 ; player, player, round

Entered in data = 1,1, 2  ; the players are facet 1, round is facet 2

Models = ?,-?, ?, D

Delements = 1L, 2N  ; element identifiers for facet 1 are element labels, for facet 2 are element numbers

Labels=

1, Players

1= John

2= Mary

3= ...

*

2 = Round

1= Monday morning

2= Monday afternoon

3= Monday evening

.....

*

Data =

John Mary 1 0 ; John played Mary on Monday morning. John lost.

 

 


Help for Facets Rasch Measurement Software: www.winsteps.com Author: John Michael Linacre.
 

For more information, contact info@winsteps.com or use the Contact Form
 

Facets Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation download
Winsteps Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation download

State-of-the-art : single-user and site licenses : free student/evaluation versions : download immediately : instructional PDFs : user forum : assistance by email : bugs fixed fast : free update eligibility : backwards compatible : money back if not satisfied
 
Rasch, Winsteps, Facets online Tutorials

 

Forum Rasch Measurement Forum to discuss any Rasch-related topic

Click here to add your email address to the Winsteps and Facets email list for notifications.

Click here to ask a question or make a suggestion about Winsteps and Facets software.

Rasch Publications
Rasch Measurement Transactions (free, online) Rasch Measurement research papers (free, online) Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch Applying the Rasch Model 3rd. Ed., Bond & Fox Best Test Design, Wright & Stone
Rating Scale Analysis, Wright & Masters Introduction to Rasch Measurement, E. Smith & R. Smith Introduction to Many-Facet Rasch Measurement, Thomas Eckes Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments, George Engelhard, Jr. & Stefanie Wind Statistical Analyses for Language Testers, Rita Green
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar Journal of Applied Measurement Rasch models for measurement, David Andrich Constructing Measures, Mark Wilson Rasch Analysis in the Human Sciences, Boone, Stave, Yale
in Spanish: Análisis de Rasch para todos, Agustín Tristán Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez
Winsteps Tutorials Facets Tutorials Rasch Discussion Groups

 

Coming Rasch-related Events
Jan. 5 - Feb. 2, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
Jan. 10-16, 2018, Wed.-Tues. In-person workshop: Advanced Course in Rasch Measurement Theory and the application of RUMM2030, Perth, Australia (D. Andrich), Announcement
Jan. 17-19, 2018, Wed.-Fri. Rasch Conference: Seventh International Conference on Probabilistic Models for Measurement, Matilda Bay Club, Perth, Australia, Website
Jan. 22-24, 2018, Mon-Wed. In-person workshop: Rasch Measurement for Everybody en español (A. Tristan, Winsteps), San Luis Potosi, Mexico. www.ieia.com.mx
April 10-12, 2018, Tues.-Thurs. Rasch Conference: IOMW, New York, NY, www.iomw.org
April 13-17, 2018, Fri.-Tues. AERA, New York, NY, www.aera.net
May 22 - 24, 2018, Tues.-Thur. EALTA 2018 pre-conference workshop (Introduction to Rasch measurement using WINSTEPS and FACETS, Thomas Eckes & Frank Weiss-Motz), https://ealta2018.testdaf.de
May 25 - June 22, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 27 - 29, 2018, Wed.-Fri. Measurement at the Crossroads: History, philosophy and sociology of measurement, Paris, France., https://measurement2018.sciencesconf.org
June 29 - July 27, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com
July 25 - July 27, 2018, Wed.-Fri. Pacific-Rim Objective Measurement Symposium (PROMS), (Preconference workshops July 23-24, 2018) Fudan University, Shanghai, China "Applying Rasch Measurement in Language Assessment and across the Human Sciences" www.promsociety.org
Aug. 10 - Sept. 7, 2018, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
Sept. 3 - 6, 2018, Mon.-Thurs. IMEKO World Congress, Belfast, Northern Ireland www.imeko2018.org
Oct. 12 - Nov. 9, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com

 

Our current URL is www.winsteps.com

Winsteps® is a registered trademark
 

Concerned about aches, pains, youthfulness? Mike and Jenny suggest Liquid Biocell