1 / 26

Chapter 5, Suter

Chapter 5, Suter. Constructs Abstract, an idea Presumed to exist Can’t be seen or even directly measured (it doesn’t really exist – it’s a presumption!) character, anxiety, intelligence, athleticism, persistence, leadership, aggression, love, honesty

venice
Download Presentation

Chapter 5, Suter

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Chapter 5,Suter

  2. Constructs • Abstract, an idea • Presumed to exist • Can’t be seen or even directly measured (it doesn’t really exist – it’s a presumption!) • character, anxiety, intelligence, athleticism, persistence, leadership, aggression, love, honesty • How, then, do we have a discussion about it, learn about it, or teach it?

  3. Operational definitions Once a term or construct has been operationally defined there is no ambiguity about how to define it or measure it. Allows standardization, consistency Allows discussion Allows empirical measurement

  4. Variables & Constants • Variables (often operationally defined constructs) • Will have two or more values (height, gender, grades, humor, time) • Can have “more” or “less” • Can belong to one category (group) or another (categorical variables) • Constant – unchanging value of a characteristic

  5. Variables in Research • Independent • Dependent • Attribute • Extraneous • Confounding

  6. Independent Variable (IV) “the value is free to vary” – well, sort of. In experimental research, the researcher controls the value of the IV and determines the structure of the experiment and the values of the IV. example Creating two groups within an experiment 1. Students in a New Reading Program 2. Students in the Old Reading Program

  7. Dependent Variable (DV) • The value is “dependent” upon the IV • A student’s reading performance will be determined or dependent upon which reading program the student participates in.

  8. Independent & Dependent Variables “work together” • Researcher presumes (e.g., hypothesizes) the (IV) has an effect upon another variable • The relationship between the IV and DV is stated in the hypothesis (and research question.)

  9. Independent/Dependent Variables • Cause and Effect” relationship (e.g., the IV “causes” the DV) • Experimental studies • The research can vary the amount of an IV to test it’s effect upon the DV. Manipulates • Group assignment • Reinforcement or praise • Amount of time

  10. Characteristics of IV • True IV: random assignment to groups • Quasi IV: non-random assignment • Example: • New Reading Program going to be used by Ms. Smith 3rd graders. • Same Old reading program to be use my Mr. Jones 3rd graders. • Question: Random assignment or not?

  11. Experimental &Treatment groups The group that is receiving the “new” program, is the “treatment group. The group this is receiving the “old” program, is the “control” group. Better yet, the control group would be a group that receives NO program. (Maybe students would learn to read better without any program!)

  12. Controlled vs Extraneous • IV is manipulated or controlled by the research. • Other variables the research has no control over: gender, SES, anxiety, weather, student absences, parental influences, time of day, teacher illness • More you can hold constant the better off you are

  13. Attribute and Extraneous V Alternative explanations for the results Gender may have influenced the DV. Construction going on outside the window may have influenced the DV. Goal of experimental control (e.g., strict use of the experimental method) is to reduce the number of alternative explanations

  14. Attribute and Extraneous V Goal of experimental control is to reduce the number of alternative explanations Attribute variables are pre-existing variables that cannot be altered and may have an influence: gender, SES, age Extraneous variables are variables that the researcher can attempt to control: time of day program is conducted, comfort in classroom, teacher, IQ level of students, prior experience or knowledge.

  15. Confounding V Another alternative explanation for the results. Unexpected or unanticipated When two or more variables interact: e.g., gender & anxiety, time of day and interest, teacher and gender

  16. Hypothesis • A hypothesis predicts the existence of a relationship between two variables • The IV and the DV • Is embedded in the Research Question • Specifically names or identifies the predicted relationship

  17. Research Hypothesis • 3rd grade students who learn Covey’s 7 Habits will improve their reading comprehension over the year as measured by the ISAT more than 3rd grade students who don’t learn Covey’s 7 Habits. • RQ: Will 3rd grade students who learn Covey’s 7 Habits improve their reading comprehension over the year as measured by the ISAT more than 3rd grade students who don’t learn Covey’s 7 Habits?

  18. Research Hypothesis • If 3rd grade students learn Covey’s 7 Habits, then they will improve their reading comprehension over the year as measured by the ISAT more than 3rd grade students who don’t learn Covey’s 7 Habits.

  19. Research Hypothesis • 3rd grade students who learn Covey’s 7 Habits will improve their reading comprehension over the year as measured by the ISAT more than 3rd grade students who don’t learn Covey’s 7 Habits. • RQ: Will 3rd grade students who learn Covey’s 7 Habits improve their reading comprehension over the year as measured by the ISAT more than 3rd grade students who don’t learn Covey’s 7 Habits?

  20. Dr. Shinn’s Aside • Directional H – predicts the “more/less” outcome of manipulating the IV • Participation or no participation in an after school reading program improves reading comprehension • Nondirectional H - no prediction of “more/less” • The reading comprehension of students who participate in an after school reading program will differ from the reading comprehension of students who do not participate in the program.

  21. Alternative Hypothesis • The IV did not determine the DV (or the DV was not dependent upon the IV). • Another explanation can be offered. • If teachers who use the 7 Habits then they will be more enthusiastic and be better teachers than teachers who don’t use the 7 Habits.

  22. Null Hypothesis • Experiment • Scientific Method • Statistics • The hypothesis that is tested is the NULL Hypothesis – that NO differences exist between the groups • Or • That NO relationship exists between Variables

  23. Null Hypothesis • 3rd grade students who learn Covey’s 7 Habits will improve their reading comprehension over the year as measured by the ISAT more than 3rd grade students who don’t learn Covey’s 7 Habits. • Null H: 3rd grade students who learn Covey’s 7 Habits will not improve their reading comprehension any more or less over the year as measured by the ISAT more than 3rd grade students who don’t learn Covey’s 7 Habits. • There is NO difference between using 7 Habits than not using them.

  24. Dr. Shinn’s Aside • Advantages of using a Hypothesis: • Helps our understanding because we must be able to identify the IV and the DV • Forces one to consider the nature of the relationship between the IV and the DV • Testing hypotheses add to the body of knowledge – whether supported or not. • In theory validation – a theory makes predictions as the predictions (H’s) are tested the theory is validated (or not).

  25. End chapter 5

  26. Hypothesis • Disadvantages • Bias - look only for that data the supports our hypothesis • Inadvertently set up the study to help our prediction (e.g., give Ms Smith, the best teacher, assign her Method A) • Overlook important but unintended results or dynamics (e.g. Hawthorne effect)

More Related