Table 8.
Feeling Tone Questionnaire (FTQ) 13 item set: Differential item functioning (DIF) results Race/Ethnicity subgroup comparisons
Item Description | IRTPRO | lordif | Magnitude (NCDIF) | Effect Size T1 | ||||
---|---|---|---|---|---|---|---|---|
NHW vs. NHB | NHW vs. Hispanic | NHW vs. NHB | NHW vs. Hispanic | NHW vs. NHB | NHW vs. Hispanic | NHW vs. NHB | NHW vs. Hispanic | |
Are you feeling well? | U* | U* | NU; U | NU*; U | 0.0041 | 0.0143 | 0.0613 | 0.1066† |
Do you like being here? | 0.0013 | 0.0002 | 0.0121 | −0.0020 | ||||
Are you feeling happy today? | U | U* | U | NU; U* | 0.0028 | 0.0120 | −0.0518 | −0.1025† |
Do you have any pain? | Item excluded | |||||||
Are you feeling bored? | U | U* | 0.0133 | 0.0015 | −0.1068† | −0.0301 | ||
Are people helpful here? | U* | U | U* | U | 0.0089 | 0.0063 | 0.0822 | 0.0712 |
Do you feel lonely? | NU; U* | NU; U* | NU | 0.0297 | 0.0050 | −0.1622† | −0.0426 | |
Is there anything that stops you from doing what you want to do? | Item excluded | |||||||
Do you have a good appetite? | U* | U* | NU; U* | 0.0111 | 0.0064 | 0.0984 | 0.0579 | |
Do you like the people here? | U* | NU; U* | NU | 0.0088 | 0.0060 | 0.0706 | 0.0582 | |
Is anybody nasty to you? | U | 0.0021 | 0.0031 | −0.0455 | −0.0494 | |||
Do you sleep well? | U* | U* | 0.0009 | 0.0103 | −0.0090 | 0.0044 | ||
Did you have a nice day yesterday? | U* | U | U | 0.0035 | 0.0013 | −0.0444 | 0.0125 | |
Did anything upset you yesterday? | U* | U | NU*; U* | U* | 0.0137 | 0.0132 | −0.0970 | −0.1071† |
Do you have any trouble with your health? | Item excluded | |||||||
Do you feel good about tomorrow? | 0.0015 | 0.0006 | −0.0279 | 0.0231 |
Item 7 – ‘Lonely’ had NCDIF values larger than the threshold (0.0240)
Asterisks indicate significance after adjustment for multiple comparisons.
Indicates value above threshold of 0.10.
NU= Non-uniform DIF involving the discrimination parameters; U=Uniform DIF involving the location parameters.
For the lordif analyses, uniform and non-uniform DIF was determined using the likelihood ratio chi-square test. Uniform DIF is obtained by comparing the log likelihood values from models one and two. Non-uniform DIF is obtained by comparing the log likelihood values from models two and three. DIF was not detected using the pseudo R2 measures of Cox & Snell (1989), Nagelkerke (1991), and McFadden (1974) or with the change in Beta criterion.