Example 0: Rating scale data: The Liking for Science data

Rather than attempting to construct a control file from scratch, it is usually easier to find one of these examples that is similar to your analysis, and modify it.

 

Control and data file, Example0.txt, for the Liking for Science data (see RSA) contains the responses of 75 children to 25 rating-scale items. The responses are 0-dislike, 1-neutral, 2-like. To analyze these data, start Winsteps, then:

 

Control file name?:

"Files" pull-down menu

"Control file name"

"Examples" folder

Example0.txt

Open

 

Report output file: (Enter)

press Enter for a temporary file.

Extra specifications:(Enter)

press Enter because there are no extra specifications

 

; This is file "example0.txt" - ";" starts a comment

 TITLE= 'LIKING FOR SCIENCE (Wright & Masters p.18)'

 NI=     25  ; 25 items

 ITEM1=  1   ; responses start in column 1 of the data

 NAME1=  30  ; person-label starts in column 30 of the data

 ITEM=   ACT ; items are called "activities"

 PERSON= KID ; persons are called "kids"

 CODES=  012 ; valid response codes (ratings) are 0, 1, 2

 CLFILE= *   ; label the response categories

 0 Dislike   ; names of the response categories

 1 Neutral

 2 Like

 *           ; "*" means the end of a list

 &END        ; this ends the control specifications

; These are brief descriptions of the 25 items

WATCH BIRDS

READ BOOKS ON ANIMALS

READ BOOKS ON PLANTS

WATCH GRASS CHANGE

FIND BOTTLES AND CANS

LOOK UP STRANGE ANIMAL OR PLANT

WATCH ANIMAL MOVE

LOOK IN SIDEWALK CRACKS

LEARN WEED NAMES

LISTEN TO BIRD SING

FIND WHERE ANIMAL LIVES

GO TO MUSEUM

GROW GARDEN

LOOK AT PICTURES OF PLANTS

READ ANIMAL STORIES

MAKE A MAP

WATCH WHAT ANIMALS EAT

GO ON PICNIC

GO TO ZOO

WATCH BUGS

WATCH BIRD MAKE NEST

FIND OUT WHAT ANIMALS EAT

WATCH A RAT

FIND OUT WHAT FLOWERS LIVE ON

TALK W/FRIENDS ABOUT PLANTS

END NAMES  ;this follows the item names: - the data follow:

1211102012222021122021020    ROSSNER, MARC DANIEL 

2222222222222222222222222    ROSSNER, LAWRENCE F.

2211011012222122122121111    ROSSNER, TOBY G.

1010010122122111122021111    ROSSNER, MICHAEL T.

1010101001111001122111110    ROSSNER, REBECCA A.

1011211011121010122101210    ROSSNER, TR CAT

2220022202222222222222222    WRIGHT, BENJAMIN

2210021022222020122022022    LAMBERT, MD., ROSS W.

0110100112122001121120211    SCHULZ, MATTHEW

2100010122221121122011021    HSIEH, DANIEL SEB

2220011102222220222022022    HSIEH, PAUL FRED

0100220101210011021000101    LIEBERMAN, DANIEL

1211000102121121122111000    LIEBERMAN, BENJAMIN

2110020212022100022000120    HWA, NANCY MARIE

1111111111111111112211111    DYSON, STEPHIE NINA

2221121122222222222122022    BUFF, MARGE BABY

2222022222222222222222122    SCHATTNER, GAIL

2222021022222221222122022    ERNST, RICHARD MAX

2221011002222211122020022    FONTANILLA, HAMES

1100010002122212122020022    ANGUIANO, ROB

1111011112122111122021011    EISEN, NORM L.

1211111112222121122121121    HOGAN, KATHLEEN

2211112112222121222122122    VROOM, JEFF

1221012102222110122021022    TOZER, AMY ELIZABETH

2221120222222221222122022    SEILER, KAREN

1111111111111111111111111    NEIMAN, RAYMOND

1110011101122111022120221    DENNY, DON

2211102002122121022012011    ALLEN, PETER

1000101001110000022110200    LANDMAN, ALAN

1000000002122000022012100    NORDGREN, JAN SWEDE

2211011112221011122121111    SABILE, JACK

1210010011222110121022021    ROSSNER, JACK

2212021212222220222022021    ROSSNER, BESS

2222122222222222222222122    PASTER, RUTH

1110211011122111122011111    RINZLER, JAMES

1110201001122111122011111    AMIRAULT, ZIPPY

1210010012122111122012021    AIREHEAD, JOHN

2211021112222121122222121    MOOSE, BULLWINKLE

2221022112222122222122022    SQURREL, ROCKY J.

2221011022222221222122022    BADENOV, BORIS

2222222222222222222222122    FATALE, NATASHA

2121011112122221122011021    LEADER, FEARLESS

2220112022222121222022021    MAN, SPIDER

1210021012212211022011021    CIANCI, BUDDY

2221022222222222222222022    MCLOUGHLIN, BILLY

2200020002222000222122010    MULLER, JEFF

1110220112212111022010000    VAN DAM, ANDY

2221022222222221222122022    CHAZELLE, BERNIE

1100110101110112111111210    BAUDET, GERARD

2222121222222222222122122    DOEPPNER, TOM

1210021022222221122021022    REISS, STEVE

1111111111111111122111111    STULTZ, NEWELL

0100101010110011021010000    SABOL, ANDREW

1111021121122112122021011    BABBOO, BABOO

1010010011122112222111110    DRISKEL, MICHAEL

2221012012222222222122022    EASTWOOD, CLINT

2220022022222222222022022    CLAPP, CHARLIE

1221010122222221222021021    CLAPP, DOCENT

2221021122222221222022222    CLAPP, LB

1221111122222121122121021    SQUILLY, MICHAEL

2111010022122111122011022    SQUILLY, BAY OF

2220000022222220222020000    BEISER, ED

1211010122222122222122010    BECKER, SELWIN

2210022112222121222122011    CORLEONE, VITO

1211211002222012122121200    CORLEONE, MICHAEL

1201010012222120222022021    PINHEAD, ZIPPY

1211001001212121222121012    MALAPROP, MRS.

1200010102120120022001010    BOND, JAMES

1210010122222122222021021    BLOFELD, VILLAIN

2222022012222122222022021    KENT, CLARK

2201222001220022220222201    STOLLER, DAVE

1001000100011010021200201    JACKSON, SOLOMON

2012010122210201102202022    SANDBERG, RYNE

2220022002222222222022012    PATRIARCA, RAY

1200110112122221022020010    PAULING, LINUS

 

When analysis completes, use the "Output Tables"pull-down menu to examine the measures and quality-control fit statistics. Start with Table 1, which gives you a quick summary. Here are the Science Activity items in measure order, Table 13. The hierarchy of item labels, in the right-hand column, defines the construct that has been measured. "Go on picnic" is easiest to like. "Find bottles" is hardest to like.

 

         ACT STATISTICS:  MEASURE ORDER

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

|ENTRY    RAW                   MODEL|   INFIT  |  OUTFIT  |PTMEA|                                |

|NUMBER  SCORE  COUNT  MEASURE  S.E. |MNSQ  ZSTD|MNSQ  ZSTD|CORR.| ACT                            |

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

|     5     35     74    2.42     .22|2.30   5.6|3.62   7.3|  .05| FIND BOTTLES AND CANS          |

|    23     40     74    2.18     .21|2.41   6.3|4.11   9.0|  .00| WATCH A RAT                    |

|    20     48     74    1.83     .20|1.33   2.0|1.82   3.7|  .42| WATCH BUGS                     |

|     4     50     74    1.75     .20| .89   -.7| .91   -.4|  .60| WATCH GRASS CHANGE             |

|     8     52     74    1.67     .20|1.10    .7|1.21   1.2|  .51| LOOK IN SIDEWALK CRACKS        |

|     7     67     74    1.10     .19| .97   -.1|1.01    .1|  .59| WATCH ANIMAL MOVE              |

|     9     78     74     .71     .19|1.18   1.3|1.17   1.0|  .53| LEARN WEED NAMES               |

|    16     81     74     .60     .19| .97   -.2| .95   -.3|  .51| MAKE A MAP                     |

|    25     83     74     .53     .19| .80  -1.5| .74  -1.6|  .66| TALK W/FRIENDS ABOUT PLANTS    |

|     3     86     74     .42     .19| .57  -3.5| .54  -3.0|  .72| READ BOOKS ON PLANTS           |

|    14     86     74     .42     .19| .82  -1.3| .75  -1.4|  .62| LOOK AT PICTURES OF PLANTS     |

|     6     89     74     .31     .19| .81  -1.4| .76  -1.4|  .61| LOOK UP STRANGE ANIMAL OR PLANT|

|    17     93     74     .16     .19| .65  -2.7| .59  -2.4|  .70| WATCH WHAT ANIMALS EAT         |

|    22     95     74     .08     .19| .83  -1.2| .74  -1.4|  .63| FIND OUT WHAT ANIMALS EAT      |

|    24    105     74    -.31     .20| .90   -.6| .79   -.9|  .60| FIND OUT WHAT FLOWERS LIVE ON  |

|     1    107     74    -.40     .21| .55  -3.5| .49  -2.5|  .64| WATCH BIRDS                    |

|    15    109     74    -.48     .21| .78  -1.5| .64  -1.6|  .61| READ ANIMAL STORIES            |

|     2    114     74    -.71     .22| .93   -.4| .72  -1.0|  .58| READ BOOKS ON ANIMALS          |

|    21    117     74    -.85     .22| .84   -.9| .65  -1.3|  .58| WATCH BIRD MAKE NEST           |

|    11    119     74    -.96     .23| .63  -2.4| .49  -1.9|  .59| FIND WHERE ANIMAL LIVES        |

|    13    125     74   -1.29     .25|1.22   1.1| .94    .0|  .47| GROW GARDEN                    |

|    10    128     74   -1.49     .26| .78  -1.1| .57  -1.1|  .50| LISTEN TO BIRD SING            |

|    12    135     74   -2.04     .31| .70  -1.2| .51  -1.0|  .45| GO TO MUSEUM                   |

|    19    139     74   -2.48     .36|1.08    .4|1.10    .4|  .30| GO TO ZOO                      |

|    18    143     74   -3.15     .47|1.50   1.2|1.23    .5|  .14| GO ON PICNIC                   |

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

| MEAN    93.0   74.0     .00     .23|1.02   -.2|1.08    .0|     |                                |

| P.SD    30.9     .0    1.41     .06| .45   2.3| .87   2.8|     |                                |

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


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