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Data Commentary

Data Commentary. Laptops. Wireless internet enabled 2 electronic (editable) sources. Strength of Claim. You position yourself relative to the data – highlighting specific items, interpreting them, explaining their significance Task 1 p. 113. Referring to a Table/Figure.

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Data Commentary

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Presentation Transcript

  1. Data Commentary

  2. Laptops • Wireless internet enabled • 2 electronic (editable) sources

  3. Strength of Claim • You position yourself relative to the data – highlighting specific items, interpreting them, explaining their significance • Task 1 p. 113

  4. Referring to a Table/Figure • Consistently use present tense (even if the data refers to the past – the table shows that in the 1960s people were more prone to…) • May use active or passive forms – details are provided…the table provides details • Show, provide, give, present, summarize, illustrate, reveal, display, demonstrate, indicate, suggest

  5. Task 6 - Prepositions

  6. Highlighting Statements • Generalizations that you draw from the data • Your opportunity to identify important trends • Focus on points to support your claim Don’t • Repeat all the details in words • Attempt to cover all the information • Claim more than is reasonable or defensible

  7. Qualifications/Strength of ClaimHedging • Pay particular attention to pages • 126/127 • Task 10

  8. Qualifying Comparisons • 56% of girls reported restrictions on going out late at night as opposed to 35% of boys. • More girls than boys • Fewer boys than girls • Not as many boys as girls

  9. Qualifying Comparisons • 56% of girls reported restrictions on going out late at night as opposed to 35% of boys. • Almost exactly twice as many boys • A marginally smaller percentage of girls • Slightly over twice as many boys • Close to three times as many boys • Boys exceeded girls in the times they reported…by a retio of 2.5 to 1.

  10. Problematic Data • If the data isn’t what you expected and doesn’t support your thesis, you may be tempted to ignore it • Accounting for anomalies in the data, blips on the chart • Again need to use hedging language as you are only offering possible explanations • See examples on page 138

  11. Task 19

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