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This thesis compares two approaches to extensive reading to determine the extent that they facilitate vocabulary development. The first approach is a traditional reading-only approach, and the second approach is a task-based approach which supplements reading with post-reading meaning-focused discussions. These two approaches are compared using a battery of tests, most notably a measure for productive knowledge of word associations. For years, scholars have believed that word associations have potential to reveal important information about a person's language proficiency. One reason word associations are intriguing is that a large amount of a person's lexicon can be assessed (Meara, 2009). This is possible because a large amount of data from the learner can be gathered in a short period of time. Another intriguing aspect of word association data is that it is one aspect of vocabulary knowledge that is not based on correct performance. This raises the question of an appropriate means of assigning value to the associations, a question which still hinders research to this day. Recent research has made progress in this area with a multi-level taxonomy (i.e., Fitzpatrick, 2007), creating a picture of the types of associations which exist in a learner's lexicon. However, this taxonomy does not address the strength of the association. Wilks and Meara (2007) have attempted to tackle association strength through the use of self-report measures, whereby a test-taker reports strength of association on a four-point scale from weak to strong. This has left them with " ... problems which we have not yet solved, notably a tendency for some test takers to claim that most associations are strong, while others appear to be very reluctant to identify strong associations ..." (Meara, 2009, p. 80). In other words, the question of how to appropriately determine association strength is still unanswered. In the current study lexical development, in the form of word association knowledge, was

Consists principally of lists of words students should know in mathematics, science, language arts, and social studies.