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Correlational Research

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Correlational Research

  1. 1. Presented by Nataly Castro
  2. 2. It is the systematic investigation of relationships among two or more variables, without necessarily determining cause and effect.
  3. 3.  Relational studies ex: Exists a relationship between the time that students spend on Internet chatting the night before an exam and the scores that they get.  Prediction studies ex: the next grades of the students are going to be similar to the last exam (according to the first example)
  4. 4. Identify the variables Question Data Calculs Results
  5. 5. Surveys. Score on various test or rating scales Demographic information
  6. 6. Question • Do student grades relate to whether they are “morning people”? Method The researchers correlated two kinds of variables • Grades in early and late classes • Scores on a scale of “morningness” (13- item inventory)
  7. 7. Result  There was a modest, significant, correlation between morningness and grades at 8:00 a.m., r= 0,1  Students who were not morning people did less well at 8:00 and performed better in later classes. CONCLUSION?
  8. 8. The pattern did not hold for classes starting at 9:00 or later. So even “evening people” can do well in early classes. The study is correlational, so we do not know if being a morning person is the cause of better grades in the morning
  9. 9. Correlational Studies involve relationships among variables. It is not possible to make determinations of causation with a correlational study.
  10. 10.  Clarke, R. J. (2005) Research Methodologies  Smith, C. S., Reilly, C., & Midkiff, K. (1989). Evaluation of three circadian rhythm questionnaires with suggestions for an improved measure of morningness. Journal of Applied Psychology, 74, 728-738

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