The Pave Project Report - Queen's University Belfast

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The PAVE Project Report
Seventy-five service users participated in the baseline assessment (A1), 25 service
users participated in the first exploring effectiveness assessment after approximately 3
months (A2), 20 service users participated in the second exploring effectiveness
assessment after a further 3-4 months (A3), and 13 service users participated in the
third assessment after a further 3-4 months (A4).
DATA ANALYSIS
S
PSS for Mac OSX (Version 11) software was used to store, code, and analyse
the data. Basic statistics included frequencies, means, standard deviations, and
cross tabulations. Independent-samples t-tests were used to examine if the differences
between means of two groups (e.g. males and females) were significant (p < .05) or
not, while one-way analysis of variance (ANOVA) were used to explore differences
between three or more groups (e.g. between different ages groups) (p < .05). Pairedsamples
t-tests were used to explore statistically significant changes (p < .05) between
the means of a same group at two different times (e.g. GHQ-30 means in A1 and A2).
In addition, Pearson correlation coefficients (r) (where p < .01; or p < .05) were
calculated in order to explore relationships between continuous variables. The
correlation coefficient measures the strength of a linear relationship between two
variables and it can take on the values from -1 to +1. Where -1 is a perfect negative
(inverse) correlation, 0 is no correlation, and 1 is a perfect positive correlation. The
closer the correlation is to +/-1, the closer to a perfect linear relationship.
Where significance scores are not otherwise reported, this means p < .05.