Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where James Lumsden is active.

Publication


Featured researches published by James Lumsden.


Applied Psychological Measurement | 1980

Variations on a Theme by Thurstone

James Lumsden

A test model based on the Thurstone judgmental model is described. By restricting various param eters of the model, 3 Rasch models, 2 pseudo- Rasch models, 3 two-parameter ICC models, and a Webers Law model are derived.


Applied Psychological Measurement | 1980

Test Length and Validity

Richard C. Bell; James Lumsden

The effect of test length on predictive validity is examined empirically by successively omitting the poorest items and by calculating the correlations between the reduced test scores and the criterion. It was found, for four tests, that the curve of validity against test length had a very gentle slope for the longer tests and that all tests could be reduced by more than 60% without appreciable decreases in validity.


Australian Journal of Psychology | 1973

Validity as theoretical equivalence

James Lumsden; John Ross

The validity problem is considered as one of describing the systematic variance of a test in theoretical terms. Using physical examples it is argued that a theoretical description is only possible for a theoretically singular test and that the theory must be sufficiently developed to permit multiple comparisons between theoretical expectations and empirical outcomes. Validation is impossible for individual difference measures based on performance.


Psychometrika | 1964

Comment on feldt's “use of extreme groups”

John Ross; James Lumsden

Feldt [1] examines the use of the Kelley-Cureton upper and lower 27 per cent rule for the estimation of p. Using a formula for the standard error of rtot developed by Peters and Van Voohris ([3], p. 383), he finds, correctly, that the rule applies exactly only to the case where p is zero. For increasing values of p he finds that the optimal per cent is less than 27 and decreases with p until for p -0.50 no minimum exists. These results, set out in Feldts Table 1, are, on intuitive grounds, incredible. Standard errors which keep on decreasing without limit for smaller and smaller values of q when the cuts implied are themselves subject to sampling error are unbelievable. Any statistical argument which produces such results should be regarded with suspicion. I t turns out that suspicion is justified. The Peters and Van Voohris expression for ar ,


Australian Journal of Psychology | 1957

A factorial approach to unidimensionality

James Lumsden


Psychological Reports | 1962

The Crespi Effect: A Replication

Vincent Di Lollo; James Lumsden


British Journal of Mathematical and Statistical Psychology | 1968

ATTRIBUTE AND RELIABILITY

John Ross; James Lumsden


Australian Journal of Psychology | 1956

REVISED STANFORD‐BINET NORMS

James Lumsden


Psychological Reports | 1962

In Defence of Unidimensionality

James Lumsden


Australian Journal of Psychology | 1961

A common error with chi-square

James Lumsden

Collaboration


Dive into the James Lumsden's collaboration.

Top Co-Authors

Avatar

John Ross

University of Tasmania

View shared research outputs
Top Co-Authors

Avatar

Richard C. Bell

University of Western Australia

View shared research outputs
Top Co-Authors

Avatar

Vincent Di Lollo

University of Western Australia

View shared research outputs
Researchain Logo
Decentralizing Knowledge