Academic journal article The Journal of Parapsychology

Journal of Scientific Exploration

Academic journal article The Journal of Parapsychology

Journal of Scientific Exploration

Article excerpt

NELSON, R. D., JAHN, R. G., DOBYNS, Y. H., & DUNNE, B. J. (2000). Contributions to variance in REG experiments: ANOVA models and specialized subsidiary analyses. Journal of Scientific Exploration, 14, 73-89.

Judicious application of a complementary set of sophisticated analytic techniques to large databases from human/machine anomalous interaction experiments can extract subtle structural features that might elude more simplistic analyses. The combination of a multi-factor analysis of variance (ANOVA) with various subsidiary, ad hoc approaches suggested by the ANOVA or directly by the data, can establish an instructive hierarchy of salient physical and subjective parameters and illuminate some of their specific details. In this particular study, the dominant finding is a significant correlation of anomalous effects with prescribed intentions of the human operators, compounded of small contributions from many individuals across many experimental conditions. The grand concatenation, which includes all combinations of successful and unsuccessful parameters or conditions, shows a chance probability for this correlation with intention on the order of [10.sup.-4]. The effect apparently is confined to non-deterministic devices; i.e., deterministic pseudo-random sources show no overall effect. …

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