2008
DOI: 10.21236/ada515128
|View full text |Cite
|
Sign up to set email alerts
|

Physical Ability-Task Performance Models: Assessing the Risk of Omitted Variable Bias

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
12
0
1

Year Published

2009
2009
2018
2018

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(14 citation statements)
references
References 28 publications
1
12
0
1
Order By: Relevance
“…In cases such as this, regression equations can be useful in teasing apart which tests are the best to include to maximize prediction, and which tests are redundant. In fact, research has shown that physical tests can overlap significantly in their ability to predict simulated task performance-i.e., some tests can capture the same predictive power as other tests (Vickers, Hodgdon, and Beckett, 2008). In cases where there is such overlap, such factors as ease, cost of implementation, and adverse impact should also guide the choice of which tests to use.…”
Section: Our Evaluation Of the Criterion-related Validation Studymentioning
confidence: 99%
“…In cases such as this, regression equations can be useful in teasing apart which tests are the best to include to maximize prediction, and which tests are redundant. In fact, research has shown that physical tests can overlap significantly in their ability to predict simulated task performance-i.e., some tests can capture the same predictive power as other tests (Vickers, Hodgdon, and Beckett, 2008). In cases where there is such overlap, such factors as ease, cost of implementation, and adverse impact should also guide the choice of which tests to use.…”
Section: Our Evaluation Of the Criterion-related Validation Studymentioning
confidence: 99%
“…These dimensions corresponded to Anaerobic Power (AP), Muscle Endurance (ME), and Aerobic Capacity (AC) dimensions identified in previous studies. 4,5 Fixing the variances at 1.000 established the scales for the latent traits representing the general ability and GP dimensions. This method of scaling made it possible to estimate factor loadings for each indicator variable in the measurement models.…”
Section: Analysis Proceduresmentioning
confidence: 99%
“…The resulting models based on general dimensions have adequately summarized the covariation of physical ability tests with task performance. [1][2][3][4][5] The appropriate level of analysis remains an open question despite recent findings. Those findings are limited to specific combinations of tests and tasks.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The strength-performance association can be modeled by representing strength as a single general factor and performance as a general factor (Vickers, 1995(Vickers, , 1996(Vickers, , 2003aVickers, Hodgdon, & Beckett, 2009). Such models have produced strength-performance correlations ranging from r = .32 to r = .96.…”
mentioning
confidence: 99%