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Factor Structure, Reliability and Convergent Validity of the Engagement in Meaningful Activities Survey for Older Adults.

OTJR : occupation, participation and health

Eakman AM, Carlson M, Clark F.
PMID: 21927592
OTJR (Thorofare N J). 2010;30(3):111-121. doi: 10.3928/15394492-20090518-01.

This study evaluated the psychometric properties of the Engagement in Meaningful Activities Survey (EMAS) (Goldberg, Brintnell, & Goldberg, 2002) in a sample of older adults living in the greater Los Angeles area. The EMAS evidenced moderate test-retest reliability (r...

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Eakman AM, Carlson M, Clark F. Factor Structure, Reliability and Convergent Validity of the Engagement in Meaningful Activities Survey for Older Adults. OTJR (Thorofare N J). 2010;30(3):111-121doi: 10.3928/15394492-20090518-01.
Eakman, A. M., Carlson, M., & Clark, F. (2010). Factor Structure, Reliability and Convergent Validity of the Engagement in Meaningful Activities Survey for Older Adults. OTJR : occupation, participation and health, 30(3), 111-121. https://doi.org/10.3928/15394492-20090518-01
Eakman, Aaron M, et al. "Factor Structure, Reliability and Convergent Validity of the Engagement in Meaningful Activities Survey for Older Adults." OTJR : occupation, participation and health vol. 30,3 (2010): 111-121. doi: https://doi.org/10.3928/15394492-20090518-01
Eakman AM, Carlson M, Clark F. Factor Structure, Reliability and Convergent Validity of the Engagement in Meaningful Activities Survey for Older Adults. OTJR (Thorofare N J). 2010;30(3):111-121. doi: 10.3928/15394492-20090518-01. PMID: 21927592; PMCID: PMC3172818.
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MODERN REGRESSION METHODS THAT CAN SUBSTANTIALLY INCREASE POWER AND PROVIDE A MORE ACCURATE UNDERSTANDING OF ASSOCIATIONS.

European journal of personality

Wilcox RR, Keselman HJ.
PMID: 23626402
Eur J Pers. 2012 May 01;26(3):165-174. doi: 10.1002/per.860.

During the last half century hundreds of papers published in statistical journals have documented general conditions where reliance on least squares regression and Pearson's correlation can result in missing even strong associations between variables. Moreover, highly misleading conclusions can...

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Wilcox RR, Keselman HJ. MODERN REGRESSION METHODS THAT CAN SUBSTANTIALLY INCREASE POWER AND PROVIDE A MORE ACCURATE UNDERSTANDING OF ASSOCIATIONS. Eur J Pers. 2012;26(3):165-174doi: 10.1002/per.860.
Wilcox, R. R., & Keselman, H. J. (2012). MODERN REGRESSION METHODS THAT CAN SUBSTANTIALLY INCREASE POWER AND PROVIDE A MORE ACCURATE UNDERSTANDING OF ASSOCIATIONS. European journal of personality, 26(3), 165-174. https://doi.org/10.1002/per.860
Wilcox, Rand R, and Keselman, H J. "MODERN REGRESSION METHODS THAT CAN SUBSTANTIALLY INCREASE POWER AND PROVIDE A MORE ACCURATE UNDERSTANDING OF ASSOCIATIONS." European journal of personality vol. 26,3 (2012): 165-174. doi: https://doi.org/10.1002/per.860
Wilcox RR, Keselman HJ. MODERN REGRESSION METHODS THAT CAN SUBSTANTIALLY INCREASE POWER AND PROVIDE A MORE ACCURATE UNDERSTANDING OF ASSOCIATIONS. Eur J Pers. 2012 May 01;26(3):165-174. doi: 10.1002/per.860. PMID: 23626402; PMCID: PMC3634671.
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A HETEROSCEDASTIC METHOD FOR COMPARING REGRESSION LINES AT SPECIFIED DESIGN POINTS WHEN USING A ROBUST REGRESSION ESTIMATOR.

Journal of data science : JDS

Wilcox RR.
PMID: 23950761
J Data Sci. 2013 Apr 01;11(2):281-291.

It is well known that the ordinary least squares (OLS) regression estimator is not robust. Many robust regression estimators have been proposed and inferential methods based on these estimators have been derived. However, for two independent groups, let

Cite
Wilcox RR. A HETEROSCEDASTIC METHOD FOR COMPARING REGRESSION LINES AT SPECIFIED DESIGN POINTS WHEN USING A ROBUST REGRESSION ESTIMATOR. J Data Sci. 2013;11(2):281-291
Wilcox, R. R. (2013). A HETEROSCEDASTIC METHOD FOR COMPARING REGRESSION LINES AT SPECIFIED DESIGN POINTS WHEN USING A ROBUST REGRESSION ESTIMATOR. Journal of data science : JDS, 11(2), 281-291.
Wilcox, Rand R. "A HETEROSCEDASTIC METHOD FOR COMPARING REGRESSION LINES AT SPECIFIED DESIGN POINTS WHEN USING A ROBUST REGRESSION ESTIMATOR." Journal of data science : JDS vol. 11,2 (2013): 281-291.
Wilcox RR. A HETEROSCEDASTIC METHOD FOR COMPARING REGRESSION LINES AT SPECIFIED DESIGN POINTS WHEN USING A ROBUST REGRESSION ESTIMATOR. J Data Sci. 2013 Apr 01;11(2):281-291. PMID: 23950761; PMCID: PMC3742338.
Copy Download .nbib Format: NLM
Showing 1 to 3 of 3 entries