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european college of sport science

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Friday, June 26th, 2009<br />

JS and JF were two most used serve techniques. Nevertheless the use <strong>of</strong> different serve techniques differs between these three groups so<br />

that JS was used more and JF less when the level <strong>of</strong> the game was higher. JF was the proportionally most used and most efficient serve<br />

technique in G1. In G2 and G3 JS was the most used technique and it was also quite effective, but it had highest error percentage. So the<br />

high use <strong>of</strong> JS can be explained partly by the target to score direct points by ace serves.<br />

ADJUSTING REGRESSION STATISTICS TO ASSESS VALIDITY OF MEASURES IN DIFFERENT POPULATIONS<br />

HOPKINS, W.<br />

AUT UNIVERSITY<br />

All concurrent validity studies and most method-comparison studies have a criterion (gold-standard or high-quality) measure for assessment<br />

<strong>of</strong> another measure, but there is widespread lack <strong>of</strong> understanding about the best approach to such assessment. The limits-<strong>of</strong>agreement<br />

approach assesses interchangeability <strong>of</strong> two measures, but it provides no rationale for choosing the better measure; moreover,<br />

the systematic lack <strong>of</strong> agreement known as proportional bias that is <strong>of</strong>ten apparent in the Bland-Altman plot (<strong>of</strong> difference vs mean<br />

<strong>of</strong> the measures) can be artifactual. Amongst regression approaches, least-squares analysis with the criterion as dependent variable<br />

provides the most useful statistics: the calibration (regression) equation and standard error <strong>of</strong> the estimate help practitioners interpret<br />

individual measurements taken with the other measure, and researchers can use the correlation coefficient to adjust the magnitude <strong>of</strong><br />

effects involving the measure. However, values <strong>of</strong> the regression statistics can be used directly in these ways only when the sample in the<br />

validity study is representative <strong>of</strong> the population in the clinical, practical or research setting. I have now derived formulae to adjust the<br />

values for other populations.<br />

I based my approach on the following assumptions: there is a linear relationship between the criterion and other measure; uniform<br />

random error in the other measure contributes to scatter in the relationship between the measure and the criterion; and any random<br />

error in the criterion is uniform and known. The data from a validity study <strong>of</strong> one population then allow estimation <strong>of</strong> the random error in<br />

the other measure, from which one can derive the calibration equation, standard error <strong>of</strong> the estimate and correlation coefficient that<br />

would apply to a population with a different mean and standard deviation <strong>of</strong> the criterion or the other measure.<br />

One can also derive the standard error <strong>of</strong> the estimate that would apply to a population with the widest possible range <strong>of</strong> values (infinite<br />

standard deviation). This error is appropriate for comparing validity <strong>of</strong> measures studied with samples from different populations, especially<br />

when the measures are in different units (e.g., body fat from a criterion four-compartment model regressed against measures <strong>of</strong><br />

skinfolds, body density, or bioimpedance). The calibration equation for this imaginary population is appropriate for assessing proportional<br />

bias when the criterion and other measure are in the same units. Researchers can also adjust the regression statistics to a real<br />

reference population to compare measures.<br />

I simulated validity studies with a spreadsheet to check that the formulae for all adjusted statistics are correct. The formulae are too<br />

complex for analytical derivation <strong>of</strong> confidence limits, but bootstrapping will provide robust estimates. Use <strong>of</strong> these adjusted statistics and<br />

their confidence limits should improve understanding and application <strong>of</strong> validity in research and practice.<br />

CONTENT VALIDITY AND INTERNAL CONSISTENCY OF SELF-ASSESSMENT QUESTIONNAIRE FOR CLIMBING ABILITIES<br />

CHAN, W.K., HORST, E.J., CHENG, Y.Y., NG, J.<br />

1,3,4. THE CHINESE UNIVERSITY OF HONG KONG, 2. MILLERSVILLE UNIVERSITY , USA<br />

Content validity and internal consistency <strong>of</strong> self-assessment questionnaire for climbing abilities<br />

Introduction: The questionnaire <strong>of</strong> Self-assessment for climbing abilities was designed by Eric, J. Horst (Horst, 2008) in which eight components<br />

are included, they are climbing experience, technical skills, mental skills, general conditioning, <strong>sport</strong>-specific conditioning, injury<br />

risk, nutritional habits, and lifestyle and discipline. There is no measurement tool to evaluate <strong>sport</strong>s climbers’ climbing abilities in Asia.<br />

This study investigated the content validity and internal consistency, reliability <strong>of</strong> Eric’s Self-assessment for climbing abilities questionnaire<br />

for Hong Kong <strong>sport</strong>s climbing participants regarding their perception on their climbing abilities.<br />

Research Methods: The Chinese version <strong>of</strong> the questionnaire was translated by the research team and which has been assessed by five<br />

climbing coaches in order to check the validity. Only some wordings <strong>of</strong> the questionnaires have been amended after the assessment.<br />

The questionnaire was distributed to Hong Kong <strong>sport</strong>s climbing participants in different climbing association and <strong>sport</strong>s climbing athletes<br />

in Hong Kong Youth team and the 2008 interschool competition participants. 106 questionnaires have been collected.<br />

Results: 1) This research invited five experienced climbing coaches evaluated the meaning <strong>of</strong> the translated questions, in order to conduct<br />

a content validity analysis. One <strong>of</strong> the questions which related to the perception on participants’ bouldering scale level has been set to<br />

answer one more question which made sure that the participant knowing the meaning <strong>of</strong> bouldering scale.<br />

2) The internal consistency for reliability test as revealed from Cronbach’s Alpha indicated that the eight skill components received poor to<br />

acceptable internal consistencies (r=0.17 – 0.77).<br />

3) Only scores from two subscales had acceptable internal consistencies: Climbing experience = .77, Technical skills = .75. Scores for<br />

other subscales had rather weak internal consistencies: Mental skills = .36, General conditioning = .54, Sport-specific conditioning = .61,<br />

Injury risk = .17, Nutritional habits = .45, Lifestyle and discipline = .46. The low alpha values provide preliminary evidence that some items<br />

in these subscales might be problematic.<br />

Conclusions: It is concluded that some <strong>of</strong> the components in the Self-assessment for climbing abilities questionnaire demonstrated statistic<br />

and problematic design by the use <strong>of</strong> Hong Kong climbing participants by the finding <strong>of</strong> this pilot research. This research has suggestions<br />

for questionnaire modification.<br />

Reference<br />

Horst, E.J (2008). Conditioning for climbers: The compete exercise guide. Connecticut: Falcon.<br />

This study was funded by the Hong Kong Physical Education Assessment Association, Hong Kong SAR.<br />

OSLO/NORWAY, JUNE 24-27, 2009 413

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