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CODES= valid data codes = 01 |
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Says what characters to recognize as valid codes in your data file. If XWIDE=1 (the standard), use one column/character per legitimate code. If XWIDE=2, use two columns/characters per valid code. Characters in your data not included in CODES= are given the MISSCORE= value.
Example 1: A test has four response choices. These are "1", "2", "3", and "4". All other codes in the data file are to be treated as "item not administered". Each response uses 1 column in your data file. Data look like: 134212342132.3212343221 XWIDE=1 one character wide (the standard) CODES=1234 four valid 1-character response codes
Example 2: There are four response choices. Each response takes up 2 columns in your data file and has leading 0's, so the codes are "01", "02", "03" and "04". Data look like: 0302040103020104040301 XWIDE=2 two characters wide CODES=01020304 four valid 2-character response codes
Example 3: There are four response choices entered on the file with leading blanks, so that codes are " 1", " 2", " 3", and " 4". Data look like: 3 2 4 2 1 3 2 XWIDE=2 two characters wide CODES=" 1 2 3 4" " required: blanks in 2-character responses
Note: when XWIDE=2 or more, both CODES= and the data value are left-aligned before matching, so both " 1" and "1 " in CODES= match both " 1" and "1 "in your data file.
Example 4: Your data is a mixture of both leading blanks and leading 0's in the code field, e.g. "01", " 1", " 2", "02" etc. The numerical value of a response is calculated, where possible, so that both "01" and " 1" are analyzed as 1. Data look like: 02 1 20102 1 2 01 XWIDE=2 two characters wide CODES=" 1 2 3 401020304" two characters per response
Example 5: Your valid data are 1,2,3,4,5 and your missing data codes are 7,8,9 which you want reported separately on the distractor tables. CODES = 12345789 NEWSCORE = 12345XXX ; missing values scored with non-numeric values
Example 6: The valid responses to an attitude survey are "a", "b", "c" and "d". These responses are to be recoded "1", "2", "3" and "4". Data look like: adbdabcd CODES =abcd four valid response codes NEWSCORE=1234 new values for codes RESCORE=2 rescore all items
Typically, "abcd" data implies a multiple choice test. Then KEY1= is used to specify the correct response. But, in this example, "abcd" always mean "1234", so that the RESCORE= and NEWSCORE= options are easier to use.
Example 7: Five items of 1-character width, "abcd", then ten items of 2-character width "AA", "BB", "CC", "DD". These are preceded by person-id of 30 characters. Data look like: George Washington Carver III dabcdBBAACCAADDBBCCDDBBAA FORMAT=(30A1,5A1,10A2) Name 30 characters, 5 1-chars, 10 2-chars XWIDE =2 all converted to 2 columns CODES ="a b c d AABBCCDD" "a" becomes "a " NEWSCORE="1 2 3 4 1 2 3 4 " response values RESCORE=2 rescore all items NAME1=1 name starts column 1 of reformatted record ITEM1=31 items start in column 31 NI=15 15 items, all XWIDE=2
Example 8: Items are to rescored according to Type A and Type B. Other items to keep original scoring. IREFER = AAAAAAAABBBBBBBBCCCCCCC ; 3 item types CODES = 1234 Original codes in the data file IVALUEA = 1223 Recode Type A items IVALUEB = 1123 Recode Type B items IVALUEC = 1234 Recode Type * item. Can be omitted
Example 9: The valid responses are percentages in the range 00 to 99. XWIDE = 2 two columns each percent ; for data with leading zeroes, CODES = 0001020304050607080910111213141516171819+ +2021222324252627282930313233343536373839+ +4041424344454647484950515253545556575859+ +6061626364656667686970717273747576777879+ +8081828384858687888990919293949596979899 or, for data with leading blanks, CODES =" 0 1 2 3 4 5 6 7 8 910111213141516171819+ +2021222324252627282930313233343536373839+ +4041424344454647484950515253545556575859+ +6061626364656667686970717273747576777879+ +8081828384858687888990919293949596979899"
Example 10: Codes are in the range 0-254 (the maximum possible). XWIDE=3 ; 3 characters per response: data with leading blanks CODES=" 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23+ + 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47+ + 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71+ + 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95+ + 96 97 98 99100101102103104105106107108109110111112113114115116117118119+ +120121122123124125126127128129130131132133134135136137138139140141142143+ +144145146147148149150151152153154155156157158159160161162163164165166167+ +168169170171172173174175176177178179180181182183184185186187188189190191+ +192193194195196197198199200201202203204205206207208209210211212213214215+ +216217218219220221222223224225226227228229230231232233234235236237238239+ +240241242243244245246247248249250251252253254"
Example 11: The data include negative values, -10, -9, through to positive codes 9, 10. Winsteps can only analyze data that are positive integers, so the data would need to be rescored: XWIDE=3 ; each observation is 3 characters wide in the data file ; the next line is so that I can be sure that each code is 3 characters wide ; 123123123123123123123123123123123123123123123123123123123123123 CODES ="-10-9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 " NEWSCORE="0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 " |
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