Working With the Gullone And Clarke 2015 Study: A Practical Guide

What This Actually Is

The Gullone and Clarke 2015 Study is part of a broader program of research on child and adolescent fear and anxiety measurement. Specifically, it deals with the Australian normative data and psychometric evaluation of the Fear Survey Schedule for Children-Revised, commonly known as the FSSC-R. The original instrument was developed by Ollendick in the 1980s, and Gullone and Clarke's work adapted and validated it for Australian populations. Most people searching for this study are trying to understand how to use the FSSC-R correctly. That's the practical side that matters. The theoretical literature is fine, but getting the administration and scoring wrong is where things fall apart.

Gullone And Clarke 2015 Study

What the FSSC-R Measures

The Fear Survey Schedule for Children-Revised asks kids between roughly 7 and 17 to rate how afraid they are of specific situations and objects. The response format is typically a four-point Likert scale: yes, probably yes, probably no, no. There are about 80 items covering domains like fear of accidental injury, fear of the unknown, social evaluation concerns, and death-related fears. The key output is a set of subscale scores based on factor-analytically derived item clusters, plus an overall fear score. The factor structure that Gullone and Clarke worked with generally produces something like five to seven subscales depending on how you parse the data. The exact number depends on the sample and the analysis choices you make. Here's what most guides won't tell you straight. The total score is often more stable and reliable than any single subscale, especially with younger children or smaller samples. I've seen researchers chase subscale-level findings that turned out to be noise once you account for measurement error. The total score should be your primary anchor, with subscales providing supplementary context.

How to Administer It Correctly

Administration is straightforward if you follow the manual. Give the child the questionnaire in a quiet setting. Let them read it themselves if they're capable. If they have reading difficulties or are younger, read the items aloud consistently. Variability in how you read the items can subtly shift responses, so pick a consistent pace and tone and stick with it. The whole process takes about 15 to 20 minutes for most children. Younger kids or those with attention difficulties might need a break halfway through. Don't rush it. Quality of responses drops noticeably when children feel pressured to finish quickly. One thing I learned the hard way. Make sure the child understands what each response option means. I once worked with a cohort where a significant number of kids interpreted probably yes as neutral rather than leaning toward fear. A quick check-in at the start, asking them to explain back to you what each option means, took two minutes and prevented a whole batch of misinterpreted responses.

Scoring and Normative Data

Scoring requires summing the items within each subscale and converting to T-scores using the appropriate norm table. This is where the Gullone and Clarke 2015 Study becomes essential. If you're working with an Australian sample, using American norms from the original Ollendick manual will give you inaccurate classifications. The distributions are different enough that it matters. The normative tables provide age- and gender-stratified scores. Always check whether your child's age falls exactly on a norm bracket or between brackets. If it's between brackets, you may need to interpolate, and the manual describes how to do that. Don't just pick the nearest age group without checking the documentation.

A Real Problem I Ran Into

Early in my work with this instrument, I was analyzing data from a school-based screening program. We had a large sample of children aged 8 to 10, and I was excited to compare subscale profiles between boys and girls. The results looked interesting at first glance. Girls scored higher on social evaluation fear. Boys scored higher on fear of accidental danger. But then I checked the internal consistency of those subscales within each age group. Some of the subscales had Cronbach's alpha values below 0.50. That's not acceptable reliability. The items within those subscales weren't hanging together coherently in that particular sample. I had two choices: drop the subscale analysis entirely and focus on the total score, or try to rebuild the subscales based on my own factor analysis. I went with the first option for the main analysis and kept the subscale exploration as a secondary investigation with appropriate caveats in the write-up. It was the safer call, and honestly, the total score told us everything we actually needed to know for the purposes of the study.

Common Mistakes to Avoid

The biggest mistake I see is treating the FSSC-R as a diagnostic tool. It measures fear, not anxiety disorders. A high fear score doesn't mean a child has an anxiety disorder. Fear is normative. All children have fears. The instrument is designed to capture the range and intensity of those fears, not to classify clinical conditions. If you need a diagnosis, use a structured interview like the ADIS-C or a validated clinical instrument alongside the FSSC-R. Another frequent error is averaging parent and child reports. They correlate at roughly 0.30 to 0.40, which means they're tapping different perspectives. A parent might not see the child's fear of social situations at school. The child might not report fears that the parent observes at home. Treat them as separate measures. Don't combine them into a single score. Missing data handling is also routinely done incorrectly. If a child misses more than 10 percent of the items on a subscale, don't compute that subscale score. Imputing missing values in psychometric scales like this introduces more error than it removes. Just flag it and move on.

Limitations and Where It Falls Apart

The FSSC-R has real constraints. It's purely self-report, which means it's vulnerable to response biases. Social desirability can deflate scores in children who want to appear brave. Acquiescence bias can inflate scores in children who tend to agree with everything. These aren't theoretical concerns. I've seen both patterns clearly in the data. The instrument also provides a snapshot. It tells you what the child fears right now, not how those fears developed or where they're heading. Longitudinal applications are possible but require repeated administration and careful attention to practice effects. Kids who take the same questionnaire twice tend to score slightly lower the second time, partly because they remember the items and partly because responding to the same fear survey can feel tedious. For very young children, under about 7, the instrument isn't appropriate. Reading demands are too high, and the abstract nature of the Likert scale is developmentally mismatched. Parent-report versions exist but have their own limitations and shouldn't be used as a simple substitute.

Who Should Use This and When

The FSSC-R is most useful in research settings and school psychology contexts where you need a broad overview of a child's fear profile. It's efficient, relatively brief, and well-established. If you're running a clinical trial or a treatment outcome study, it gives you a meaningful dependent variable. If you're doing individual clinical assessment, it's a useful supplement but not sufficient on its own. For clinical work, I'd pair it with a diagnostic interview and perhaps the Spence Children's Anxiety Scale or the SCARED for a more comprehensive picture. Each instrument catches different things. Together they give you something closer to the full landscape.

Getting Your Hands On It

The FSSC-R is copyrighted. You need permission to use it. The original developer is Thomas H. Ollendick, and the licensing process involves contacting him or his designated distribution channel with details about your intended use. Gullone and Clarke's Australian adaptation doesn't change these requirements. The instrument is still under copyright regardless of which normative sample you're using. If you're affiliated with a university or clinic, your institution's research office or psychometrics library should already have the licensing arranged. If you're independent, expect to write a formal request and wait for a response. It's not complicated, but it's a step that people sometimes skip until they're trying to publish and get flagged for it.

Bottom Line

The Gullone and Clarke 2015 Study gives you the Australian normative foundation for using the FSSC-R correctly. The instrument itself is a solid tool for measuring childhood fear when used within its intended scope. It has limitations, especially around subscale reliability in younger samples and the gap between fear severity and clinical diagnosis. Understanding those boundaries upfront saves you from collecting data you can't meaningfully interpret. Use the total score as your primary measure. Treat subscales as supplementary. Check your norms carefully. Don't confuse fear with disorder. And make sure you have the licensing sorted before you distribute the questionnaire to anyone.