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Application Sever A particular installation of a particular J2EE platform implementation alternative Bean Managed Transaction (BMT) A avor of EJB where the Bean s implementation code must explicitly call the begin() method and either the commit() method or the rollback method (all of which are provided by the JTA and implemented by the JTS) in order to manage the JTA Transaction actions for the Bean Component A deployable bundle that provides a reasonably cohesive set of functionality Component or Subsystem (COS) A term that refers to a component or subsystem, ignoring any differences between the two concepts Container Managed Transactions A avor of EJB where the EJB Container manages the JTA Transaction actions based on the current transactional state and the Transaction attributes declared for the EJB Deployment Any features, issues, concepts, or considerations related to how a COS instance is installed on a particular machine at a particular site.

factors (cf Castonguay, 1993 for the arguments against the use of the latter phrase) The common factors design employs random assignment to experimental and control treatment conditions, wherein participants in the control group meet with the therapist regularly to receive treatment comprised solely of those common factors previously described Ideally, the experimental therapy contains equivalent degrees of common factors plus speci c and theoretically driven interventions, so that any observed differential effects can be attributed to those presumably active ingredients This design, in contrast to the no-treatment design, allows more speci c cause-and-effect conclusions to be drawn That is, superiority of the experimental therapy over a common factors condition allows the conclusion that something speci c in the former intervention caused that degree of change that exceeded the change observed in the latter condition.

Ethically, the common factors design is more advantageous than the no-treatment (waiting-list) design in that clients are at least being provided with a therapeutic relationship, which contains features known to contribute to the amelioration of psychological problems Clients are also less likely to decline participation in such a condition; thus potential selection bias is minimized However, important ethical as well as methodological disadvantages can be present in this design One important ethical consideration is that in one condition of the experiment, researchers are knowingly providing clients with a treatment that they strongly suspect from a theoretical viewpoint may not be as ef cacious as the experimental therapy Potential methodological limitations also exist, beginning with important threats to internal validity Therapists, for certain, and possibly even clients, may not be blind to condition (Lettieri, 1992), potentially leading to differing levels of demand characteristics and expectancy effects across groups.

Deployment Descriptor A le (usually an XML le that conforms to a particular Document Type De nition format) that contains the deployment-speci c details for software deployed within the J2EE platform Enterprise Archive File (EAR) A JAR le that contains the les needed for a J2EE application that is contained, deployed, and executed within an Application Server Enterprise Java Bean A Java Bean implementing the business logic for a J2EE application that is J2EE-aware and deployable within an EJB Container Enterprise Java Bean Archive File (EJB-JAR) A JAR le that contains the les needed for an EJB that is contained, deployed, and executed within an EJB Container Enterprise Java Bean Container (EJB Container) A Container type that supplies all the J2EE platform-de ned operations, features, and facilities necessary to deploy and execute the EJBs contained within it Extensible Markup Language See XML.

As Kazdin (1992) points out, developing a common factors condition that appears equally credible to both the therapist and the client can pose a great challenge Important threats to external validity can also be present Parloff (1986) argues that common factors conditions do not necessarily resemble actual therapy in applied settings Thus, researchers may be comparing theoretically derived therapeutic interventions to a form of control treatment that is in actuality almost never practiced Most important is that this design has a crucial scienti c limitation The data can lead scientists to conclude that the intervention caused a degree of change superior to that caused by elements common to most forms of treatment, but they are still not able to conclude exactly what the causative ingredients of that therapy were.

The best this design can do is provide evidence that speci c causal ingredients do indeed exist in the treatment and that.