You are hired to create a simple Dictionary application. Your dictionary can take a search key from users then returns value(s) associated with the key. - Please explain how you would implement your dictionary. - Please state clearly which data structure(s) you will use and explain your decision. - Please explain how you communicate between the data structures and between a data structure and an interface.

The application should have a form user interface to submit input, the input is used to query a database, if the input matches a row in the database, the value is displayed in the application.

Explanation:

The data structure in the database for the dictionary application should be a dictionary, with the input from the user as the key and the returned data as the value of the dictionary.

The dictionary application should have a user interface form that submits a query to the database and dictionary data structure returns its value to the application to the user screen.

C. History

Explanation:

Internal validity refers specifically to whether an experimental treatment/condition makes a difference or not, and whether there is sufficient evidence to support the claim.

Factors which jeopardise internal validity

History: The specific events which occur between the first and second measurement. Maturation: The processes within subjects which act as a function of the passage of time. i.e. if the project lasts a few years, most participants may improve their performance regardless of treatment. Testing: The effects of taking a test on the outcomes of taking a second test. Instrumentation: The changes in the instrument, observers, or scorers which may produce changes in outcomes. Statistical regression: It is also known as regression to the mean. This threat is caused by the selection of subjects on the basis of extreme scores or characteristics. Give me forty worst students and I guarantee that they will show immediate improvement right after my treatment. Selection of subjects: The biases which may result in selection of comparison groups. Randomization (Random assignment) of group membership is a counter-attack against this threat. However, when the sample size is small, randomization may lead to Simpson Paradox, which has been discussed in an earlier lesson. Experimental mortality: The loss of subjects. For example, in a Web-based instruction project entitled Eruditio, it started with 161 subjects and only 95 of them completed the entire module. Those who stayed in the project all the way to end may be more motivated to learn and thus achieved higher performance. Selection-maturation interaction: The selection of comparison groups and maturation interacting which may lead to confounding outcomes, and erroneous interpretation that the treatment caused the effect. John Henry effect: John Henry was a worker who outperformed a machine under an experimental setting because he was aware that his performance was compared with that of a machine.