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two key controls are verifying total hours worked and obtaining supervisory approval of overtime hours worked Other controls later in the process are similar to those found in the computerized in-house system, since some watch over check stock and signature plates must be maintained However, some of the reviews for fake employees at the end of the process, such as comparing addresses on checks, can probably be discarded, since this type of process is typically used for companies so small that the payroll staff knows exactly who works for the company

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Item Selection Item selection subsystems can vary greatly Some testing organizations prefer to use simple item database queries, random item selection strategies, or strati ed random item sampling of content categories within statistically determined bins to select the test items for each test form Other organizations are transitioning toward using more sophisticated automated test assembly (ATA) software ATA involves the use of formal mathematical optimization procedures that include linear programming algorithms, network ow algorithms, and various deviation-based heuristics (Armstrong, Jones, & Kunce, 1998; Luecht, 1998a, 2000; Stocking & Swanson, 1998; Timminga, 1998; van der Linden, 1998) Using these types of algorithm or heuristic, ATA seeks to satisfy a particular mathematical goal, called the objective function , subject to any number of constraints on content and other test item attributes For example, ATA algorithms can build a test form to achieve a particular level of test dif culty or to achieve a prescribed amount of precision in some region of the score scale, subject to also meeting almost any number of content requirements or other test speci cations such as minimum test length, word counts, reading levels, statistical impact on minority and majority groups, DIF, enemy items that cannot appear on the same test form, etc These latter speci cations are the ATA constraints There are three functional requirements for an item selection subsystem especially if ATA is employed First, the subsystem needs to provide a means of extracting eligible item data from the item database This extraction process requires using a database query to pull down the relevant statistical and content-related data elds for a subset of the entire item database Second, the item selection subsystem needs a second, interactive database application to store and manipulate the various ATA statistical targets and constraints (ie the test speci cations) used during item selection Each ATA build becomes a project that may be stored, modi ed, and re-run in the future Finally, the subsystem requires a computer program sometimes called an ATA engine to actually select the items for the test forms Depending on the type of ATA engine used, the extracted item data, the statistical targets, and the test assembly constraints may need to be further reformatted in some type of mathematical programming syntax Unfortunately, despite the growing popularity of ATA for CBT, userfriendly ATA software engines are still not widely available6 There are ATA software systems in operational use that incorporate all three of the functions noted above However, these systems either use proprietary corporate-owned software or rely on public-domain software developed for research rather than large-scale operational uses (see, for example, Luecht,.

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An employer may loan money to employees When this happens, if the amount of the loan is greater than $10,000 and is at an interest rate less than the Applicable Federal Rate (AFR), the difference is taxable income to the employee This income is subject to Social Security and Medicare taxes, but not income tax withholding The current AFR is available on the IRS website at wwwirsgov, or can be obtained by calling 800-829-1040

Example: An employer loans $1,000,000 to one of its officers so the indi-

Some CBT vendors currently claim to use sophisticated computerized adaptive testing (CAT) heuristics Those claims should always be substantiated by potential clients as regards the extent of content balancing supported, choices of IRT models, and exposure control capabilities

vidual can purchase a new home The stated interest rate on the loan is 3 percent, while the AFR is 7 percent The amount of income reportable by the employee is the 4 percent difference between the two rates, or $40,000

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