Large positive factor loading scores (Table 5) broadly consistent across genders and interview type suggested that a two factor solution appeared most meaningful.
Logistic regression models were used to investigate the association of birth measures with both any suspected or definite psychosis-like symptoms item and definite psychosis-like symptoms positive cases only, after adjusting for age at the psychosis-like symptoms interview, gender and gestation; however, gender was not included in models which contained the gender-specific z-scores.
Staff training and gender-matched interviewing may improve self-reported data, but limited research has investigated these effects [ 4].
Face-to-face gender-matched interviews, lasting 1-2 hours, took place in the homes of respondents to ensure confidentiality and improve disclosure.
Table 5 Demographic data of interview respondents: gender Gender Frequency Percent Female 49 48 Male 45 44 Missing data 8 8 Total 102 102.
In studies of Johnson et al. (2004), using a parent questionnaire, and Wallien et al. (in press), using a semi-structured child interview, gender-referred children showed significantly more gender atypical behaviors and cross-gender feelings than the children in the control groups.
Even with these interventions, at the end of the first interview gender differences were still statistically significant (p = 0.001).
By the end of the second interview gender difference was less, but still statistically significant (p = 0.001).
Pre-injury socio-demographic characteristics included age at time of first interview, gender, highest educational qualification, personal income, and occupation based on questions from the New Zealand Census [ 10].
Factors that were deemed likely to affect heritability estimates of the factor sum scores, such as age at interview, gender and YBOCS total severity score were included as covariates in all analyses.
