An item response theory analysis of the Parenting Stress Index‐Short Form with parents of children with autism spectrum disorders
Bibliographic record
Abstract
BACKGROUND: The Parenting Stress Index-Short Form (PSI-SF) is one of the most widely used instruments for measuring parenting stress in families of children with autism spectrum disorders (ASD). However, no research to date has examined the psychometric properties of the PSI-SF in a sample of parents of young children with ASD. In this regard, item response theory (IRT) can be used to estimate how much information or discrimination each item of a scale offers across the entire range of the latent variable being measured, by creating individual item information curves or profiles. The purpose of this study was to use IRT to examine the discriminability of PSI-SF items in a sample of parents of young children with ASD who experience varying levels of parental stress. METHODS: The study involved the parents of 141 children with autism spectrum disorders (91.4% mothers; mean age 36.2 years) who completed the PSI-SF following diagnosis. Item characteristic curves were constructed for each of the PSI-SF items and examined with regard to item functioning. RESULTS: Results indicated that, for the most part, changes in parental distress severity were reflected in changes on item scores. However, several items on the subscales measuring parent-child dysfunctional interactions and child behavior difficulty functioned poorly to discriminate parents across a range of total stress severity. CONCLUSIONS: The parent-child dysfunctional interaction and difficult child subscales of the PSI-SF scale should be used with caution with parents of young children with ASD. More research is required to examine PSI-SF content validity, at least among parents of children with ASD and perhaps parents of children with other disabilities as well.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".