The Experts below are selected from a list of 150660 Experts worldwide ranked by ideXlab platform
Sally L. Lusk - One of the best experts on this subject based on the ideXlab platform.
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Test of the Health Promotion Model as a Causal Model of Construction Workers' Use of Hearing Protection
Research in Nursing & Health, 1997Co-Authors: Sally L. Lusk, David L. Ronis, Mary M. HoganAbstract:The health promotion Model (HPM) was tested as a Causal Model of construction work- ers' use of hearing protection ( N 5 359). Theoretical and exploratory Models fit well, with the the- oretical Model accounting for 36.3% of variance and the exploratory Model accounting for 50.6% of variance in hearing protection use. Value of use (benefits of using hearing protection), barri- ers to use, and self-efficacy were significant predictors in both the theoretical and exploratory Models, but perceived health status was a predictor only in the theoretical Model. In the ex- ploratory Model, where modifying factors were allowed direct relationships with use of hearing protection, two modifying factors—noise exposure and interpersonal influences-Modeling—were significant predictors. Results of this test of the HPM are consistent with the revised HPM (Pen- der, 1996). There were significant direct paths from modifying factors to behavior. Use of hear- ing protection was best predicted by behavior-specific predictors, such as perceived barriers to use of hearing protection. Results support the use of the HPM to predict use of hearing protec- tion. q 1997 John Wiley & Sons, Inc. Res Nurs Health 20: 183-194, 1997
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Test of the Health Promotion Model as a Causal Model of workers' use of hearing protection.
Nursing Research, 1994Co-Authors: Sally L. Lusk, David L. Ronis, Madeleine J. Kerr, Jan R. AtwoodAbstract:The Health Promotion Model (HPM) was tested as a Causal Model to predict workers' use of hearing protection (N = 645). Measures indicated an excellent fit of the theoretical Model. The exploratory analyses found the same cognitive-perceptual factors most important in predicting use. However, in contrast to the theoretical Model, two modifying factors (job category and situational factors) had direct effects on use. The hypothesized Model accounted for 49.3% of variance and the exploratory Models accounted for 50.7% to 52.7% of variance in hearing protection use. Results of testing the HPM are consistent with the recently proposed revision of the Model by Pender, Walker, Frank-Stromborg, and Sechrist (1990a, 1990b). The strongest effects on behavior came from the behavior-specific influences and demographic characteristics. Situational factors had a direct effect on the health behavior.
Jan R. Atwood - One of the best experts on this subject based on the ideXlab platform.
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Test of the Health Promotion Model as a Causal Model of workers' use of hearing protection.
Nursing Research, 1994Co-Authors: Sally L. Lusk, David L. Ronis, Madeleine J. Kerr, Jan R. AtwoodAbstract:The Health Promotion Model (HPM) was tested as a Causal Model to predict workers' use of hearing protection (N = 645). Measures indicated an excellent fit of the theoretical Model. The exploratory analyses found the same cognitive-perceptual factors most important in predicting use. However, in contrast to the theoretical Model, two modifying factors (job category and situational factors) had direct effects on use. The hypothesized Model accounted for 49.3% of variance and the exploratory Models accounted for 50.7% to 52.7% of variance in hearing protection use. Results of testing the HPM are consistent with the recently proposed revision of the Model by Pender, Walker, Frank-Stromborg, and Sechrist (1990a, 1990b). The strongest effects on behavior came from the behavior-specific influences and demographic characteristics. Situational factors had a direct effect on the health behavior.
David L. Ronis - One of the best experts on this subject based on the ideXlab platform.
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Test of the Health Promotion Model as a Causal Model of Construction Workers' Use of Hearing Protection
Research in Nursing & Health, 1997Co-Authors: Sally L. Lusk, David L. Ronis, Mary M. HoganAbstract:The health promotion Model (HPM) was tested as a Causal Model of construction work- ers' use of hearing protection ( N 5 359). Theoretical and exploratory Models fit well, with the the- oretical Model accounting for 36.3% of variance and the exploratory Model accounting for 50.6% of variance in hearing protection use. Value of use (benefits of using hearing protection), barri- ers to use, and self-efficacy were significant predictors in both the theoretical and exploratory Models, but perceived health status was a predictor only in the theoretical Model. In the ex- ploratory Model, where modifying factors were allowed direct relationships with use of hearing protection, two modifying factors—noise exposure and interpersonal influences-Modeling—were significant predictors. Results of this test of the HPM are consistent with the revised HPM (Pen- der, 1996). There were significant direct paths from modifying factors to behavior. Use of hear- ing protection was best predicted by behavior-specific predictors, such as perceived barriers to use of hearing protection. Results support the use of the HPM to predict use of hearing protec- tion. q 1997 John Wiley & Sons, Inc. Res Nurs Health 20: 183-194, 1997
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Test of the Health Promotion Model as a Causal Model of workers' use of hearing protection.
Nursing Research, 1994Co-Authors: Sally L. Lusk, David L. Ronis, Madeleine J. Kerr, Jan R. AtwoodAbstract:The Health Promotion Model (HPM) was tested as a Causal Model to predict workers' use of hearing protection (N = 645). Measures indicated an excellent fit of the theoretical Model. The exploratory analyses found the same cognitive-perceptual factors most important in predicting use. However, in contrast to the theoretical Model, two modifying factors (job category and situational factors) had direct effects on use. The hypothesized Model accounted for 49.3% of variance and the exploratory Models accounted for 50.7% to 52.7% of variance in hearing protection use. Results of testing the HPM are consistent with the recently proposed revision of the Model by Pender, Walker, Frank-Stromborg, and Sechrist (1990a, 1990b). The strongest effects on behavior came from the behavior-specific influences and demographic characteristics. Situational factors had a direct effect on the health behavior.
Mary M. Hogan - One of the best experts on this subject based on the ideXlab platform.
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Test of the Health Promotion Model as a Causal Model of Construction Workers' Use of Hearing Protection
Research in Nursing & Health, 1997Co-Authors: Sally L. Lusk, David L. Ronis, Mary M. HoganAbstract:The health promotion Model (HPM) was tested as a Causal Model of construction work- ers' use of hearing protection ( N 5 359). Theoretical and exploratory Models fit well, with the the- oretical Model accounting for 36.3% of variance and the exploratory Model accounting for 50.6% of variance in hearing protection use. Value of use (benefits of using hearing protection), barri- ers to use, and self-efficacy were significant predictors in both the theoretical and exploratory Models, but perceived health status was a predictor only in the theoretical Model. In the ex- ploratory Model, where modifying factors were allowed direct relationships with use of hearing protection, two modifying factors—noise exposure and interpersonal influences-Modeling—were significant predictors. Results of this test of the HPM are consistent with the revised HPM (Pen- der, 1996). There were significant direct paths from modifying factors to behavior. Use of hear- ing protection was best predicted by behavior-specific predictors, such as perceived barriers to use of hearing protection. Results support the use of the HPM to predict use of hearing protec- tion. q 1997 John Wiley & Sons, Inc. Res Nurs Health 20: 183-194, 1997
Aapo Hyvarinen - One of the best experts on this subject based on the ideXlab platform.
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on the identifiability of the post nonlinear Causal Model
arXiv: Machine Learning, 2012Co-Authors: Kun Zhang, Aapo HyvarinenAbstract:By taking into account the nonlinear effect of the cause, the inner noise effect, and the measurement distortion effect in the observed variables, the post-nonlinear (PNL) Causal Model has demonstrated its excellent performance in distinguishing the cause from effect. However, its identifiability has not been properly addressed, and how to apply it in the case of more than two variables is also a problem. In this paper, we conduct a systematic investigation on its identifiability in the two-variable case. We show that this Model is identifiable in most cases; by enumerating all possible situations in which the Model is not identifiable, we provide sufficient conditions for its identifiability. Simulations are given to support the theoretical results. Moreover, in the case of more than two variables, we show that the whole Causal structure can be found by applying the PNL Causal Model to each structure in the Markov equivalent class and testing if the disturbance is independent of the direct causes for each variable. In this way the exhaustive search over all possible Causal structures is avoided.
