Schemas are important validation tools which can ensure data is valid and well formed for use. There are different varieties that can be used to verify a document and ensure conformance to standards. Some use a tree hierarchy and others just simple constructs. Lee and Chu (2000) note the following in their paper; DTD, XSD, SOX, Schematron and DSD. Fawcett et al (2012) mention Schematron, DTD, RELAX NG, and XSD. I will discuss some of these in comparison to DTD and XSD which are follow-ons from this week’s Schema discussions.
DTD
This Schema type on uses attributes and elements and follows a hierarchy in structure type. It is very simplistic and uses few attribute definitions, and does not follow XML type syntax. However, despite its simplistic nature, it is the most widely used standard according to Lee and Chu (2000).
XSD
The true XML Schema Definition is very different from DTD in that it can be very granular in its descriptive elements and follows XML syntax rules. This can make it very powerful, in its support of namespaces and true data types, allowing for better conformity and use in data transformation and query. Another strength of XML Schema is it inheritance, which can simplify some reuse of attributes and combining of Schema documents. Its weakness goes hand in hand with its strength as the complexity it allows for causes confusion by all but the most advanced users according to Fawcett et al (2012).
RELAX NG
This method of validation arrived as a
Hierarchical database have data in a tree like structure with a parent to child relationship (one-to-many). The parent could have many children but the children have only one parent. All the attributes of the data is in a list under one entity type.
The data structure represents the logical relationships between data elements. In addition the data also determines the organizational structure, access methods, and alternative processing assosiativitas level for information.
Dodds, L. (2001) XML and Databases? Follow Your Nose. Published on XML.com Retrieved from: http://ww
These models are used to design the internal schema of a database, represent the data tables, the data columns of those tables, and the relationships between the tables. The physical data model shows the technical details for implementation as a database or data structure. This model also represents a way in which data is physically stored.
The data that is being stored in a database is known as Meta data. Meta data is also recognized as schema for the real world data. It expresses that what sort of data will be stored in the database, what will be size of a assured attribute of the real world data, how many and what qualities will be used to collect the data about the entity in the database.
nodes in a data structure, determined by node type or class. The advantage of this pattern
Their Binary Types can further organize relationships: One-to-One relationships, One-to-Many relationships, and Many-to-Many relationships. The traditional model standards for ERDs call for diamonds representing relationships and rectangles representing classes. However, ERDs are loosely standardized and often look different from one another due to software such as Microsoft Access and MySql Workbench that create ERDs using proprietary applications.
Checking validity is making sure that the goal of the client will deliver a true positive
After reading several learning theories, the learning theory that I have chosen to use to evaluate my personal learning strengths and weaknesses is the cognitive theory - Information processing theory (Atkinson and Shriffin, 1968) as I feel this one suits my learning style better.
The model in term of validity and rigor is strong and plausible . The author is credible and trustworthy . The model contributed meaningfully to the nursing practice . it provide conceptual insight. Roy Adaptive Model provide holistic approach to understand human system. her model is used internationally across nursing discipline , education and research studies The model used language of necessary and sufficient condition to explain connection between concepts and causality.
Personally, I chose the relationship between Anastasia Steele and Kate Kavanagh because they have displayed a multitude of roles and characteristics that one would expect to see in virtually any family. Over time, they have been able to create emotional bonds that tie them together, much like the bonds they have with their own families. Even though, many people may view or consider them to be nothing more than college roommates, they are not. Family bonds are not solely determined by birth parents or any other genetic factor. The girls have created a family away from family in efforts to have that much needed support system while away at college. However, this special bond has also carried over into their adulthood. They have made concrete plans to continue their lives together as a unit after graduating college by moving to Seattle and starting their careers.
The overall problem with psychological tests concerns their ability to measure what they are supposed to measure.
In order for test results to be accurately applied and interpreted, it is important that it be valid. Validity refers to the degree in which an instrument measures what it is supposed to measure (Cohen, Swerdlik, & Sturman, 2013). To validate a test, one must accumulate evidence or data that will provide a solid scientific basis for the suggested test score interpretations (Bornstein, 2011). Although there are many widely used traditional approaches to validity, Robert Borstein, has offered a more modern approach known as the process focused (PF) model in which we will take a look at both approaches.
The first alternative is known as the object-oriented. In a document-oriented database model, each individual record, and all of the data associated with that record, is thought of as a document. In this type of database, everything that is related to a database object, or document, is grouped together. This keeps the database organized, and easier to find things that are related to each other. Each document is encoding data in some format or encoding. The most common formats include XML, JSON and BSON. These are just some of the formats available, but these seem to be the most popular formats that are being used.
A DBMS is made up of a DML (data manipulation language), Schema and subschemas, Physical data repository, and an Interface to allow