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Table 3 Overall fit, item and fit statistics of the Rasch analyses for the occupational balance-questionnaire

From: Development of a new occupational balance-questionnaire: incorporating the perspectives of patients and healthy people in the design of a self-reported occupational balance outcome instrument

Overall fit statistics

Chi-square p ≤ 0.01 35.15

Chi-squareredp ≤ 0.01 11.20

ẍ item fit residual (± SD) 0.54 (± 1.71)

ẍ item fit residualred(± SD) 1.69, (± 0.89)

Item and fit statistics

Item statisticsa

Fit statisticsa

Components of items

Location (Locationred)

SE (SEred)

Residual (Residualred)

Chi-Square (Chi-squarered)

F-statistic (F-statisticred)

Challenging and relaxing activities

0.216

0.084

3.395

12.665*

12.784*

 

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--

--

--

Activities with acknowledgement by the individual and by the sociocultural context

0.025

0.077

0.340

2.248

2.719

(0.101)

(0.080)

(2.801**)

(0.267)

(0.048)

Involvement in stressful activities and fewer stressing activities

-0.397

0.078

0.082

2.527

3.211

 

(-0.302)

(0.082)

(1.584)

(2.324)

(2.183)

Impact of health condition on activities

-0.156

0.073

0.213

1.241

1.750

 

(-0.055)

(0.075)

(0.519)

(6.352)

(8.439)

Rest and sleep

-0.230

0.073

1.522

0.181

0.103

 

(-0.141)

(0.076)

(2.276)

(0.447)

(0.126)

Variety of activities

0.302

0.075

0.502

1.023

0.489

 

(0.397)

(0.077)

(1.264)

(1.815)

(1.383)

Adaptation of activities according to changed living conditions

0.240

0.073

-2.284

15.264*

27.360*

 

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  1. arounded to three decimals.
  2. Location = Expressed in linear log-odds units (logits). Mean item location is zero with positive values representing more limitations of occupational balance.
  3. redwithout items on the components challenging and relaxing activities and ability to adapt activities, after item deletion.
  4. SE = Standard error.
  5. Residuals = summarize the deviation of observed from expected responses. Deviation from the recommended range of -2.5 to +2.5 indicating misfit are bold.
  6. Chi-square = Chi-square values summarize the deviation of observe from expected responses across the three class intervals of people. Higher values indicate larger deviations.
  7. F-statistics = F-statistics from one-way Analysis of variance of deviations from model expectation across the three class intervals of people.
  8. *Bonferroni corrected statistically significant deviations across class intervals, indicating misfit (bold, Bonferroni adjusted probability level = .001429).
  9. **Bonferroni corrected statistically significant deviations across class intervals, indicating misfit (bold, Bonferroni adjusted probability level = .002000).