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Independent and Dependent Variables

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Presentation on theme: "Independent and Dependent Variables"— Presentation transcript:

1 Independent and Dependent Variables
Operational Definitions Evaluating Operational Definitions Planning the Method Section

2 What is an independent variable?
An independent variable (IV) is the variable (antecedent condition) an experimenter intentionally manipulates. Levels of an independent variable are the values of the IV created by the experimenter. An experiment requires at least two levels. Independent and Dependent Variables

3 Independent and Dependent Variables
Explain confounding. An experiment is confounded when the value of an extraneous variable systematically changes along with the independent variable. For example, we could confound our experiment if we ran experimental subjects in the morning and control subjects at night. Independent and Dependent Variables

4 What is a dependent variable?
A dependent variable is the outcome measure the experimenter uses to assess the change in behavior produced by the independent variable. The dependent variable depends on the value of the independent variable. Independent and Dependent Variables

5 What is an operational definition?
An operational definition specifies the exact meaning of a variable in an experiment by defining it in terms of observable operations, procedures, and measurements. Operational Definitions

6 What is an operational definition?
An experimental operational definition specifies the exact procedure for creating values of the independent variable. A measured operational definition specifies the exact procedure for measuring the dependent variable. Operational Definitions

7 What are the properties of a nominal scale?
A nominal scale assigns items to two or more distinct categories that can be named using a shared feature, but does not measure their magnitude. Example: you can sort canines into friendly and shy categories. Evaluating Operational Definitions

8 What are the properties of an ordinal scale?
An ordinal scale measures the magnitude of the dependent variable using ranks, but does not assign precise values. This scale allows us to make statements about relative speed, but not precise speed, like a runner’s place in a marathon. Evaluating Operational Definitions

9 What are the properties of an interval scale?
An interval scale measures the magnitude of the dependent variable using equal intervals between values with no absolute zero point. Example: degrees Celsius or Fahrenheit and Sarnoff and Zimbardo’s (1961) scale. Evaluating Operational Definitions

10 What are the properties of a ratio scale?
A ratio scale measures the magnitude of the dependent variable using equal intervals between values and an absolute zero. This scale allows us to state that 2 meters are twice as long as 1 meter. Example: distance in meters or time in seconds. Evaluating Operational Definitions

11 What does reliability mean?
Reliability refers to the consistency of experimental operational definitions and measured operational definitions. Example: a reliable bathroom scale should display the same weight if you measure yourself three times in the same minute. Evaluating Operational Definitions

12 Explain interrater reliability.
Interrater reliability is the degree to which observers agree in their measurement of the behavior. Example: the degree to which three observers agree when scoring the same personal essays for optimism. Evaluating Operational Definitions

13 Explain test-retest reliability.
Test-retest reliability means the degree to which a person's scores are consistent across two or more administrations of a measurement procedure. Example: highly correlated scores on the Wechsler Adult Intelligence Scale-Revised when it is administered twice, 2 weeks apart. Evaluating Operational Definitions

14 Explain interitem reliability.
Interitem reliability measures the degree to which different parts of an instrument (questionnaire or test) that are designed to measure the same variable achieve consistent results. Evaluating Operational Definitions

15 What does validity mean?
Validity means the operational definition accurately manipulates the independent variable or measures the dependent variable. Evaluating Operational Definitions

16 Evaluating Operational Definitions
What is face validity? Face validity is the degree to which the validity of a manipulation or measurement technique is self-evident. This is the least stringent form of validity. For example, using a ruler to measure pupil size. Evaluating Operational Definitions

17 What is content validity?
Content validity means how accurately a measurement procedure samples the content of the dependent variable. Example: an exam over chapters 1-4 that only contains questions about chapter 2 has poor content validity. Evaluating Operational Definitions

18 What is predictive validity?
Predictive validity means how accurately a measurement procedure predicts future performance. Example: the ACT has predictive validity if these scores are significantly correlated with college GPA. Evaluating Operational Definitions

19 What is construct validity?
Construct validity is how accurately an operational definition represents a construct. Example: a construct of abusive parents might include their perception of their neighbors as unfriendly. Evaluating Operational Definitions

20 Explain internal validity.
Internal validity is the degree to which changes in the dependent variable across treatment conditions were due to the independent variable. Internal validity establishes a cause-and-effect relationship between the independent and dependent variables. Evaluating Operational Definitions

21 Explain the problem of confounding.
Confounding occurs when an extraneous variable systematically changes across the experimental conditions. Example: a study comparing the effects of meditation and prayer on blood pressure would be confounded if one group exercised more. Evaluating Operational Definitions

22 Explain history threat.
History threat occurs when an event outside the experiment threatens internal validity by changing the dependent variable. Example: subjects in group A were weighed before lunch while those in group B were weighed after lunch. Evaluating Operational Definitions

23 Explain maturation threat.
Maturation threat is produced when physical or psychological changes in the subject threaten internal validity by changing the DV. Example: boredom may increase subject errors on a proofing task (DV). Evaluating Operational Definitions

24 Explain testing threat.
Testing threat occurs when prior exposure to a measurement procedure affects performance on this measure during the experiment. Example: experimental subjects used a blood pressure cuff daily, while control subjects only used one during a pretest measurement. Evaluating Operational Definitions

25 Explain instrumentation threat.
Instrumentation threat is when changes in the measurement instrument or measuring procedure threatens internal validity. Example: if reaction time measurements became less accurate during the experimental than the control conditions. Evaluating Operational Definitions

26 Explain statistical regression threat.
Statistical regression threat occurs when subjects are assigned to conditions on the basis of extreme scores, the measurement procedure is not completely reliable, and subjects are retested using the same procedure to measure change on the dependent variable. Evaluating Operational Definitions

27 Explain selection threat.
Selection threat occurs when individual differences are not balanced across treatment conditions by the assignment procedure. Example: despite random assignment, subjects in the experimental group were more extroverted than those in the control group. Evaluating Operational Definitions

28 Explain subject mortality threat.
Subject mortality threat occurs when subjects drop out of experimental conditions at different rates. Example: even if subjects in each group started out with comparable anxiety scores, drop out could produce differences on this variable. Evaluating Operational Definitions

29 Explain selection interactions.
Selection interactions occur when a selection threat combines with at least one other threat (history, maturation, statistical regression, subject mortality, or testing). Evaluating Operational Definitions

30 What is the purpose of the Method section of an APA report?
The Method section of an APA research report describes the Participants, Apparatus or Materials, and Procedure of the experiment. This section provides the reader with sufficient detail (who, what, when, and how) to exactly replicate your study. Planning the Method Section

31 When is an Apparatus section needed?
An Apparatus section of an APA research report is appropriate when the equipment used in a study was unique or specialized, or when we need to explain the capabilities of more common equipment so that the reader can better evaluate or replicate the experiment. Planning the Method Section

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