Out with Multiple Choice and In with Essays: A More Accurate Way to Measure Reading Comprehension

The certification test for English teachers in a certain state asked candidates to identify the name of the frog in Mark Twain's "The Celebrated Jumping Frog of Calaveras County." If students answered this question correctly and said, Dan'l Webster, does this mean that these students would be prepared for the teaching field? Conversely, if students answered this question incorrectly, does this mean they were ill - prepared for becoming teachers? Can such an irrelevant question really point to the knowledge and abilities of future teachers? Hardly, use of unimportant questioning such as this illustrates the main problem with using a multiple choice format when assessing students. Trivial items such as names of animals and other insignificant information are often given priority over their significance in the story simply because students are not able to demonstrate what they really know in narrative form (Smagorinsky, 2002).     

Nonstandard Employment in the Nonmetropolitan United States*

Abstract We examine the prevalence of nonstandard employment in the nonmetropolitan United States using the Current Population Survey Supplement on Contingent Work (1999 and 2001). We find that nonstandard work is more prevalent in nonmetropolitan than in central city or suburban areas. Logistic regression models controlling for sociode‐mographic and work characteristics, show that nonmetropolitan workers experience higher odds of nonstandard employment than central city or suburban workers. Variations in industrial and occupational structures in nonmetro and metro areas do not explain residential differences in nonstandard work. We also estimate the odds of employment in each of the three components of nonstandard work: contingent work, part‐time, and varied hour work. Nonmetropolitan workers are more likely than central city and suburban workers to be employed in contingent or varied hour work. The benefits and wages of nonstandard work are lower than for standard work across residence areas. The results highlight the importance of understanding nonstandard work and the components of nonstandard work, particularly when considering the nature of work across industries, occupations, and residence.