360 Appraisal Online Performance Assessment for Singapore
Singapore and Hong Kong based award-winning PsyAsia International offers 360 Performance Appraisal via the Saville Consulting Performance Culture Framework. The company has recently set-up a new site dedicated to easy understanding of the 360 appraisal process. It’s easy to set up and the cost is very reasonable. Optional services such as feedback from a psychologist consultant or team building and development services can be added to the package. The online performance appraisal system can be used by any organisation worldwide.
The Saville Consulting Wave is based upon a validation-centric scientific framework known as the Performance and Culture Framework. As part of this framework, Saville Consulting offers the Wave Performance 360 (multi-rater) online assessment of performance at work. Wave Performance 360 online assessment enables a range of relevant individuals to rate a colleague’s performance at work. How an individual perceives themselves and how this compares to other people’s perceptions of them is a powerful feedback tool. 360 assessment enhances self-awareness and provides a great platform for personal development.
Wave 360 provides a unique report where the dual reporting lets the individual being assessed understand on one profile exactly how they were rated and how this benchmarks externally.
The report combines quantitative rating scales with qualitative comment. All raters have the option of contributing narrative text on areas they think the individual does well, could do less of and could improve on. As a further option, Saville Consulting provides a very detailed development report for the individual based on all ratings.
This powerful 360 appraisal can be used on it’s own or in conjunction with Saville Consulting Wave® Styles. When used in combination it can help individuals understand the gaps between their performance and potential as a platform for utilising unused potential and realising critical areas of potential.
Further details at the special site: http://360-appraisal.com
Exploring the Dynamics of Dyadic Interactions via Hierarchical Segmentation
segmentation (HS), can be used to group multivariate time series into segments with similar discrete-state recurrence patterns
and it is not restricted by the stationarity assumption. We use a simulation study to describe the steps and properties of
HS. We then use empirical data on daily affect from one couple to illustrate the use of HS for describing the affective dynamics
of the dyad. First, we partition the data into three periods that represent different affective states and show different
dynamics between both individuals’ affect. We then examine the synchrony between both individuals’ affective states and identify
different patterns of coherence across the periods. Finally, we discuss the possibilities of using results from HS to construct
confirmatory dynamic models with multiple change points or regime-specific dynamics.
- Content Type Journal Article
- DOI 10.1007/s11336-009-9146-8
- Authors
- Fushing Hsieh, University of California Department of Statistics Davis USA
- Emilio Ferrer, University of California Department of Psychology One Shields Ave. Davis CA 95616-8686 USA
- Shu-Chun Chen, University of California Department of Statistics Davis USA
- Sy-Miin Chow, University of North Carolina Department of Psychology Chapel Hill USA
- Journal Psychometrika
- Online ISSN 1860-0980
- Print ISSN 0033-3123
Optimization of Blocked Designs in fMRI Studies
consists of different blocks of trials of the same stimulus type and is characterized by three factors: the length of blocks,
i.e., number of trials per blocks, the ordering of task and rest blocks, and the time between trials within one block. Optimal
design theory was applied to find the optimal combination of these three design factors. Furthermore, different error structures
were used within a general linear model for the analysis of fMRI data, and the maximin criterion was applied to find designs
which are robust against misspecification of model parameters.
- Content Type Journal Article
- DOI 10.1007/s11336-010-9159-3
- Authors
- Bärbel Maus, Maastricht University Faculty of Health, Medicine and Life Sciences, Department of Methodology and Statistics Maastricht Netherlands
- Gerard J. P. van Breukelen, Maastricht University Faculty of Psychology and Neuroscience, Department of Methodology and Statistics Maastricht Netherlands
- Rainer Goebel, Maastricht University Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience Maastricht Netherlands
- Martijn P. F. Berger, Maastricht University Faculty of Health, Medicine and Life Sciences, Department of Methodology and Statistics Maastricht Netherlands
- Journal Psychometrika
- Online ISSN 1860-0980
- Print ISSN 0033-3123
A Kraemer-type Rescaling that Transforms the Odds Ratio into the Weighted Kappa Coefficient
for a 2×2 table.
- Content Type Journal Article
- DOI 10.1007/s11336-010-9155-7
- Authors
- Matthijs J. Warrens, Leiden University Institute of Psychology, Unit Methodology and Statistics P.O. Box 9555 2300 RB Leiden The Netherlands
- Journal Psychometrika
- Online ISSN 1860-0980
- Print ISSN 0033-3123
Generalized Structured Component Analysis with Latent Interactions
researchers may often be interested in examining the interaction effects of latent variables. However, GSCA has been geared
only for the specification and testing of the main effects of variables. Thus, an extension of GSCA is proposed to effectively
deal with various types of interactions among latent variables. In the proposed method, a latent interaction is defined as
a product of interacting latent variables. As a result, this method does not require the construction of additional indicators
for latent interactions. Moreover, it can easily accommodate both exogenous and endogenous latent interactions. An alternating
least-squares algorithm is developed to minimize a single optimization criterion for parameter estimation. A Monte Carlo simulation
study is conducted to investigate the parameter recovery capability of the proposed method. An application is also presented
to demonstrate the empirical usefulness of the proposed method.
- Content Type Journal Article
- DOI 10.1007/s11336-010-9157-5
- Authors
- Heungsun Hwang, McGill University Department of Psychology 1205 Dr. Penfield Avenue Montreal QC H3A 1B1 Canada
- Moon-Ho Ringo Ho, Nanyang Technological University Singapore 639798 Singapore
- Jonathan Lee, California State University Long Beach CA USA
- Journal Psychometrika
- Online ISSN 1860-0980
- Print ISSN 0033-3123
Program of the 74th Annual and 16th International Meeting of the Psychometric Society
Program of the 74th Annual and 16th International Meeting of the Psychometric Society
- Content Type Journal Article
- DOI 10.1007/s11336-010-9152-x
- Journal Psychometrika
- Online ISSN 1860-0980
- Print ISSN 0033-3123
Sufficiency and Conditional Estimation of Person Parameters in the Polytomous Rasch Model
categories, the parameterisation of the person and item is symmetrical and it is readily established that the total scores
of a person and item are sufficient statistics for their respective parameters. In contrast, in the unidimensional polytomous
Rasch model for more than two ordered categories, the parameterisation is not symmetrical. Specifically, each item has a vector
of item parameters, one for each category, and each person only one person parameter. In addition, different items can have
different numbers of categories and, therefore, different numbers of parameters. The sufficient statistic for the parameters
of an item is itself a vector. In estimating the person parameters in presently available software, these sufficient statistics
are not used to condition out the item parameters. This paper derives a conditional, pairwise, pseudo-likelihood and constructs
estimates of the parameters of any number of persons which are independent of all item parameters and of the maximum scores
of all items. It also shows that these estimates are consistent. Although Rasch’s original work began with equating tests
using test scores, and not with items of a test, the polytomous Rasch model has not been applied in this way. Operationally,
this is because the current approaches, in which item parameters are estimated first, cannot handle test data where there
may be many scores with zero frequencies. A small simulation study shows that, when using the estimation equations derived
in this paper, such a property of the data is no impediment to the application of the model at the level of tests. This opens
up the possibility of using the polytomous Rasch model directly in equating test scores.
- Content Type Journal Article
- DOI 10.1007/s11336-010-9154-8
- Authors
- David Andrich, The University of Western Australia Graduate School of Education Crawley Western Australia 6009 Australia
- Journal Psychometrika
- Online ISSN 1860-0980
- Print ISSN 0033-3123
Minutes of the Psychometric Society Business Meeting
Minutes of the Psychometric Society Business Meeting
- Content Type Journal Article
- DOI 10.1007/s11336-010-9149-5
- Journal Psychometrika
- Online ISSN 1860-0980
- Print ISSN 0033-3123
Free Psychometric Test Training in Singapore
Introduction to Psychometric Testing Course: Singapore 11 May 2010
PsyAsia International is Asia’s independent Leader in Psychometric Test products and Training. We choose to distribute only the world’s best, most validated psychometric assessments and offer locally relevant, world-class training in psychometrics. The Introduction to Psychometrics Workshop expands on PsyAsia’s expertise in Psychometric Training in Asia by offering a course geared to those with very little experience or understanding in Psychometrics. Many first time clients don’t understand why they need to be careful in their choice or use of psychometrics and many do not understand why training is a necessity in competent test use.
This one-day course aims to provide experienced-based training in an accessible and economical way. The course is easy to understand and yet covers many of the important issues to be aware of when choosing and using psychometric tests. Given our passion for Asia and our passion for the competent use of psychometric tests in Asia, PsyAsia makes no profit on this course. We charge delegates a small fee that reflects the cost of the hotel venue (including buffet lunch and refreshments) where the training is held as well as materials that we provide to the delegates. What’s more, if you later decide to attend one of our accreditation courses in Psychometrics, we will issue you with a discount code that reduces your course fee by the amount you paid for this course!
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To view full course details and to register, please click here.
Reasons for Being Selective When Choosing Personnel Selection Procedures
The scientist-practitioner gap in personnel selection is large. Thus, it is important to gain a better understanding of the reasons that make organizations use or not use certain selection procedures. Based on institutional theory, 4 European researchers predicted that six variables should determine the use of selection procedures: the procedures’ diffusion in the field, legal problems associated with the procedures, applicant reactions to the procedures, their usefulness for organizational self-promotion, their predictive validity, and the costs involved.
To test these predictions, 506 HR professionals from the German-speaking part of Switzerland filled out an online survey on the selection procedures used in their organizations. Respondents also evaluated five procedures (semi-structured interviews, ability tests, personality tests, assessment centers, and graphology) on the six predictor variables. Multilevel logistic regression was used to analyze the data.
The results revealed that the highest odd ratios belonged to the factors applicant reactions, costs, and diffusion. Lower (but significant) odds ratios belonged to the factors predictive validity, organizational self-promotion, and perceived legality.


The history of psychometric testing