Investigations of the I Ching : II. Reliability and validity studies

In six studies on the I Ching - an ancient Chinese system of divination - successful predictions of first- and second-hexagrams (i.e., hexagram hitting) based on pre-selections of corresponding descriptor-pairs have ranged from chance, to significantly above chance. No significant effect below chance has ever been found. Hexagram hitting has been predicted by measures such as paranormal belief, time perspective, and meaningfulness. Storm (2008a) found a near-significant aggregate hexagram hit rate of 27%. Though these results are encouraging, there has been no assessment of the reliability and validity of the main test instrument used in the I Ching studies, the Hexagram Descriptor Form (HDF). To test the validity of the HDF, three control methods were tested against the experimental method. Taking first- and second-hexagram hit rates together, three out of 22 tests on the experimental method (14%) were significant or near-significant. Three significant or near-significant outcomes out of 66 control tests (4.5%) were attributed to chance. Inter-rater reliability was tested using two I Ching experts who judged the 64 descriptor-pairs of the HDF for suitability against their corresponding hexagram readings. The correlation between judges' ratings was not significant (the mean rating ranged between 60% and 82%). Using the pooled data of six studies, the HDF was tested for possible selection and outcome biases. A selection bias was found, but no outcome biases were found. The I Ching and the HDF were considered suitable for parapsychological research.

Prevalence of class-I, class-II and class-III obesity in Australian adults between 1995 and 2011-12

OBJECTIVE: To compare the prevalence of class-I, II and III obesity in Australian adults between 1995, 2007-08 and 2011-12. METHODS: Prevalence data for adults (aged 18+ years) were sourced from customised data from the nationally representative National Nutrition Survey (1995), the National Health Survey (2007-08), and the Australian Health Survey (2011-12) conducted by the Australian Bureau of Statistics. Obesity classifications were based on measured height and weight (class-I body mass index: 30.0-34.9kg/m(2), class-II: 35.0-39.9kg/m(2) and class-III: ≥40.0kg/m(2)). Severe obesity was defined as class-II or class-III obesity. RESULTS: Between 1995 and 2011-12, the prevalence of obesity (all classes combined) increased from 19.1% to 27.2%. During this 17 year period, relative increases in class I, II and III obesity were 1.3, 1.7 and 2.2-fold respectively. In 2011-12, the prevalence of class I, II and III obesity was 19.4, 5.9 and 2.0 per cent respectively in men, and 16.1, 6.9 and 4.2 per cent respectively in women. One in every ten people was severely obese, increasing from one in twenty in 1995, and women were disproportionally represented in this population. Obesity prevalence increased with increasing levels of area-level socioeconomic disadvantage, particularly for the more severely obese classes. Severe obesity affected 6.2% and 13.4% in the least and most disadvantaged quintiles respectively. CONCLUSION: Over the last two decades, there have been substantial increases in the prevalence of obesity, particularly the more severe levels of obesity. This study highlights high risk groups who warrant targeted weight gain prevention interventions.