Doing classroom research: a revision test

Multiple-choice test

Choose the best answer
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  1. It is important to make a scale consistent in terms of what we want to measure being positive (scoring better than the mean) or negative (scoring below the mean) because:
    1.   not doing this makes the analysis very difficult.
    2.   we want to measure things.
    3.   we have to give people the option to pick the middle ground.
    4.   we need to have clear questions for people to answer.
  2. Hypotheses should be:
    1.   based on the data we collect.
    2.   ambitious.
    3.   variable.
    4.   disprovable.
  3. Comparing learners' answers to questions such as Does this activity help you to learn better? may be unsuccessful because:
    1.   the question requires people to guess.
    2.   learners never know what helps them learn.
    3.   the question asks for insight into a personal cognitive processes.
    4.   learners will always say Yes.
  4. What's wrong with asking:
    Did this lesson help you? Please tick Yes, No, or Maybe.
    1.   The scale is wrong.
    2.   Students will always say Yes.
    3.   We won't know how little or how much it helped.
    4.   Students will always tick Maybe.
  5. I want to find out what my learners think about the coursebook so I'll do:
    1.   an analytic survey.
    2.   a set of tests.
    3.   an experiment.
    4.   a descriptive survey.
  6. I want to make sure that all four reading texts I am using in this experiment are at the same level of difficulty so I'll:
    1.   count the words in each sentence to make sure they are roughly the same length.
    2.   make sure there are the same number of active and passive voice clauses in each text.
    3.   analyse the word class percentages in the text.
    4.   put the texts through a word processor and get a Flesch reading ease figure.
  7. I tried a new technique for a listening text and my class performed much better on a comprehension test than they usually do. This shows:
    1.   that trying new things always helps.
    2.   that the new technique definitely worked.
    3.   that something has caused a change.
    4.   that it's a good technique for all listening lessons.
  8. Qualitative data are sometimes useful to:
    1.   determine whether our hypothesis was correct.
    2.   make judgements about the success of an experiment.
    3.   set the agenda for a proper descriptive or analytic survey.
    4.   find out exactly what our learners think so we can make changes.
  9. Conclusions should be:
    1.   disprovable.
    2.   tentative.
    3.   ones which show causality.
    4.   based on the hypotheses.
  10. Presenting results diagrammatically is often helpful because:
    1.   it's prettier that way.
    2.   we get better results.
    3.   it is often easier to see patterns.
    4.   numbers are difficult to understand.
  11. If we use a before-and-after technique in an analytical survey of a group then we are conducting:
    1.   a survey which uses the group itself as a control.
    2.   a survey with a separate control group.
    3.   a synchronous survey.
    4.   a survey which will not tell us what changed.
  12. I want to see if a two Dogme lessons a week reduces my learners' inhibitions concerning speaking in front of the whole class so I'll run:
    1.   an experiment.
    2.   an analytic survey.
    3.   a test.
    4.   a descriptive survey.
  13. We should avoid terms like difficult or interesting in Yes-No-response questions because:
    1.   they are gradable.
    2.   we can't measure the outcomes.
    3.   they are routinely misunderstood.
    4.   they are vague.
  14. What's wrong with this:
    "I want to see whether I can improve the pace of my lessons by talking less or having shorter activities so I will do both in the next three lessons and measure the pace of the lesson."
    1.   Two variables are in play so we will not know which one had the effect.
    2.   Nothing.
    3.   We can't measure pace in a lesson.
    4.   Talking less will not affect the pace.
  15. post hoc ergo propter hoc means:
    1.   after this therefore because of this.
    2.   after a change we have an effect.
    3.   small changes may have large effects.
    4.   all changes have effects.