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Table 2 Results of Rasch analyses

From: Measuring engagement in deliberate self-harm behaviours: psychometric evaluation of six scales

Analysis

Overall model fit

Item fit residual mean (SD)

Person fit residual mean (SD)

% significant t-tests

Coefficient Alpha (Grading)

Person locations

SIQTR-5

      

Initial fit

χ 2 = 6.639 (d f= 5), p = .249

-0.786 (0.922)

-0.136 (0.548)

na

0.705

M = -1.238

     

Moderate

SD = 1.131

Final fit

χ 2 = 7.320 (d f= 6), p = .292

-0.503 (0.928)

-0.069 (0.583)

na

na

M = -1.324

      

SD = 1.161

SITBI-11

      

Initial fit

χ 2 = 52.463 (d f= 22), p = .0003

-0.271 (1.384)

-0.186 (0.649)

0.42%

0.716

M = -1.662

     

Fair

SD = 1.295

Final fit

χ 2 = 46.978 (d f= 26), p = .007

-0.254 (1.162)

-0.202 (0.649)

na

na

M = -1.629

      

SD = 1.325

DSHI-16

      

Initial fit

χ 2 = 33.957 (d f= 32), p = .373

-0.278 (1.165)

-0.185 (0.351)

1.69%

0.783

M = -3.117

     

Fair

SD = 1.159

Final fit

χ 2 = 30.790 (d f= 24), p = .160

-0.127(1.209)

-0.254 (0.560)

na

na

M = -2.495

      

SD = 1.136

ISAS-12

      

Initial fit

χ 2 = 38.299 (d f= 24), p = .032

-0.278 (0.962)

-0.123 (0.713)

1.81%

0.826

M = -1.872

     

Fair

SD = 1.358

Final fit

χ 2 = 23.441 (d f= 18), p = .174

-0.171 (0.883)

-0.164 (0.700)

na

na

M = -1.802

      

SD = 1.185

SHIF-16

      

Initial fit

χ 2 = 150.982 (d f= 64), p = .000

-0.731(1.951)

-0.210 (0.454)

1.6%

0.794

M = -2.484

Fair

SD = 1.195

Final fit

χ 2 = 70.304 (d f= 46), p = .012

-0.708 (1.174)

-0.290 (0.676)

na

na

M = -1.828

SD = 1.012

SHI-22

      

Initial fit

χ 2 = 289.355 (d f= 154), p = .000

-0.537 (1.740)

-0.179 (0.712)

5.50% (3.7-7.3)

0.814

M = -2.051

Fair

SD = 1.280

Final fit

χ 2 = 201.992 (df =153), p = .005

-0.460 (1.220)

-0.215 (0.764)

na

na

M = -1.944

SD = 1.201

Ideal Values

Probabilities greater than Bonferroni adjusted p values (i.e., 0.05 divided by the number of significance tests)

Mean = 0.0

Mean = 0.0

Less than 5%

Fair or bettera

M = 0.0

  

(SD = 1.0)

(SD = 1.0)

   
  1. aGradings based on Ponterotto & Ruckdeschel [58] and take into account number of items and sample sizes.