STATA data file (version 13 and earlier)

STATA have changed the internal format of their .dta files in STATA version 14.

To read a STATA 14 or later file with Facets, first in STATA,

. saveold filename13, version(13)

Then filename13.dta can be processed by Winsteps.

 

STATA datasets, with their data correctly formatted, can be specified directly to Facets.

Data = STATAdata.dta

Dvalues= is useful for constant values in the data

 

Facets analyzes integer data in the range 0-255.

 

Follow the format of STATAdata.dta:

This data set has three facets: States, Years, Items

The two Items are "pop", and "area".

There are four STATA variables: state, year, pop, area.

The data are dichotomous: 0, 1

 

Here is STATAspecs.txt, the Facets specification file which builds the list of element labels from STATAdata.dta:

 

Title = "Facets analysis with Stata file: Build list of element labels"

Facets = 3  ; State, Year, Item

Models = ?, ?, ?, D

Positive = 1

Noncentered = 1

Labels=Build

1, State

*

2, Year

*

3, Item

1, Pop

2, Area

*

Dvalues=*

3, 1-2  ; the data reference for facet 3 is always items 1 and 2

*

Data = STATAdata.dta ; Example dataset from www.stata-press.com

 

After a Facets analysis, the output file STATAspecs.out.txt contains:

 

Table 2. Data Summary Report.

.....

This list is generated by Labels=Build. ....

Labels=

 1, State,   ; facet 1

 1 = CT

 2 = MA

 3 = ME

 4 = NH

 5 = RI

 6 = VT

 *

 2, Year,   ; facet 2

 1970 =

 1980 =

 1990 =

 2000 =

 *

 

If this fails to produce the correct list of labels, check that Facets has input the STATA file correctly:

Click on: "Edit" menu, "Edit Data =".

The contents of the STATA file are displayed in tab-separated format:

 

 

Copy-and-paste the Labels= into STATAspecs.txt and save it with a new name: STATAgood.txt

 

Title = "Facets analysis with Stata file: element labels added"

Facets = 3  ; State, Year, Item

Models = ?, ?, ?, D

Positive = 1

Noncentered = 1

Labels=

 1, State,   ; facet 1

 1 = CT

 2 = MA

 3 = ME

 4 = NH

 5 = RI

 6 = VT

 *

 2, Year,   ; facet 2

 1970 =

 1980 =

 1990 =

 2000 =

 *

3, Item

1, Pop

2, Area

*

Dvalues=*

3, 1-2  ; the data reference for facet 3 is always items 1 and 2

*

Data = STATAdata.dta ; Example dataset from www.stata-press.com

 

Analysis of STATAgood.txt is successful:

 

"Facets analysis with Stata file: element labels added"

Table 6.0  All Facet Vertical "Rulers".

 

Vertical = (1A,2A,3A,S) Yardstick (columns lines low high extreme)= 0,4,-2,2,End

+----------------------------------------+

|Measr|+State  |-Year       |-Item       |

|-----+--------+------------+------------|

|   2 + NH     +            +            |

|     |        |            |            |

|     |        |            |            |

|     | VT     |            |            |

|   1 +        +            +            |

|     |        |            |            |

|     | CT     | 2000       |            |

|     |        |            |            |

*   0 *        * 1980       * Area  Pop  *

|     |        | 1970  1990 |            |

|     | MA  ME |            |            |

|     |        |            |            |

|  -1 +        +            +            |

|     |        |            |            |

|     |        |            |            |

|     |        |            |            |

|  -2 + RI     +            +            |

|-----+--------+------------+------------|

|Measr|+State  |-Year       |-Item       |

+----------------------------------------+


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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
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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
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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
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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
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Sept. 3 - 6, 2018, Mon.-Thurs. IMEKO World Congress, Belfast, Northern Ireland www.imeko2018.org
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