In their attempts to model a decision support system based on the data warehouse approach, the proposed methods have often relied on various multidimensional models to specify data mart schemas, including the star, constellation, and snowflake schema models [20, 25].
In summary, the poor predictive value of the GHQ-12 may be due to the multidimensional nature of the questionnaire or to response bias on the negatively phrased items: these are competing hypotheses, since the response bias is also responsible for the appearance of multidimensionality, and the multidimensional models in turn assume that there is no response bias.
Decision makers query enterprise information stored in Data Warehouses (DW) by using tools (such as On-Line Analytools Processing (OLAP) tools) which use specific views or cubes from the corporate DW or Data Marts, based on the multidimensional modeling.
The PWBS is based on a multidimensional model of psychological well-being; the dimensions are as follows: (a) Positive relations with others, characterised by warming, satisfying, trusting and satisfactory relationships, concern for others' well-being, empathy, affection, intimacy and understanding of relationships.
The SF-36 is based on a multidimensional model of health and reflects eight important health concepts.
The SF-36 was developed from the Medical Outcomes study (MOS) based on a multidimensional model of health [ 16].
As the source data are probably derived from system designed with ER diagrams, a great deal of research has been devoted to the design of methodologies for building multidimensional models based on source ER diagrams.
Moreover, the crosswalks based on the two-parameter and multidimensional models did not perform substantially better in terms of agreement between observed and predicted total scores on the PF-10 and HAQ-DI (Table 3).
The current study reveals the importance laypersons place on incorporating psychosocial components into multidimensional models of SA, as well as highlighting the need for increased research with under-represented populations.
Consequently, based on a unifying vocabulary, this survey sheds light on (i) the weak and strong points of current approaches for modeling complex multidimensional structures that reflect real-world situations in a conceptual multidimensional model and (ii) existing mechanisms to avoid summarizability problems when conceptual multidimensional models are being implemented.
