Experimental Research Flashcards

1
Q

True or false? Experimental research is the best technique to test causal relationships.

A

True; best if Classical

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2
Q

What must you consider when selecting a research question for experimental research?

A
  • Must confront ethical and practical limitations of intervening in human affairs
  • Researcher must be able to manipulate conditions (intrusive!)
  • It is NOT an experiment unless YOU are manipulating something
  • Best for micro-level concerns; narrow-scope with few variables that can be controlled
  • Hard to address questions that require looking at conditions over time or entire society
  • Researcher cannot examine numerous variables at once
  • May limit one’s ability to generalize to larger settings due to artificial control
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3
Q

Is it an experiment if you take a group of people that smoke and a group of people that don’t smoke and see who develops lung disease?

A

No; you need to be actively manipulating the situation!

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4
Q

What is random assignment?

A

Dividing subjects into groups using a random process, so the experimenter can treat the groups as systematically equivalent

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5
Q

What is the point of random assignment? Why is it random and unbiased?

A
  • Facilitates comparison in experiments by creating similar groups that differ only in treatment
  • Random means a case has an equal chance of ending up in each group
  • Unbiased because a researcher’s desire to confirm a hypothesis does not enter into the selection process
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6
Q

What is matching and its challenges?

A
  • An alternative to random assignment
  • Matching the characteristics of cases in each group to get equivalent groups
  • Challenges ⟶ what are the relevant characteristics to match on, can one locate exact matches
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7
Q

What is random sampling?

A

Researcher selects smaller subset of cases from a larger pool

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8
Q

What is science of the sophomore?

A

A term that refers to the potentially limited external validity of studies based on undergraduate samples

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9
Q

What are the 7 components of the classical experiment process?

A
  1. Random Assignment
  2. Treatment/Independent Variable (X)
    - What the researcher manipulates
  3. Dependent Variable (O)
    - Physical conditions, social behaviours, attitudes, feelings, or beliefs of subjects that change in response to a treatment
  4. Pretest
    - Measurement of dependent variable prior to treatment
  5. Post-test
    - Measurement of dependent variable after treatment
  6. Experimental Group
    - Group that receives treatment
  7. Control Group
    - Group that does not receive treatment
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10
Q

What is deception and how does it work?

A
  • When an experimenter lies to subjects about the true nature of an experiment or creates a false impression through their actions/setting
  • Allows the researcher to control subjects’ definition of the situation
  • By focusing participants’ attention on a false topic, the researcher induces the unaware subjects to “act naturally”
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11
Q

What are confederates?

A

People who pretend to be other subjects or bystanders but who actually work for the researcher and deliberately mislead subjects

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12
Q

When is deception acceptable and how should it be done?

A
  • Only acceptable if research cannot be achieved otherwise
  • Type and amount should not go beyond what is minimally necessary
  • Participants should be debriefed
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13
Q

What are the 3 main types of experimental design?

A
  1. Classical
  2. Pre-Experimental
    - You have control over independent variable (eg. intervention), but lacking aspects of full classical design (NO random assignment)
  3. Quasi-Experimental
    - Less control over independent variable (real life), but still stronger than PED for establishing causation
    - Stronger than pre-experimental designs for establishing causal relationships
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14
Q

What are the 3 types of pre-experimental designs?

A

NO RANDOM ASSIGNMENT

  1. One-Shot Case Study (One Group Post-Test Only)
    - One group gets treatment, post-test
    - Eg. students writing an exam
  2. One Group Pretest Post-test Design
    - One group gets treatment, pretest, post-test
    - Eg. fitness regime for weight loss
  3. Static Group Comparison (Post-Test Only Non-Equivalent Group)
    - Two groups (one gets treatment), post-test
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15
Q

What are the 6 types of quasi-experimental design?

A
  1. Two-Group Post-Test-Only
    - Random assignment, two groups (one gets treatment), post-test
  2. Interrupted Time Series
    - One group (no random assignment), dependent variable is measured at many time points (to get a baseline), and treatment occurs in the middle
  3. Equivalent Time Series
    - One group (no random assignment), several repeated pre-tests, post-tests, and treatments over a period of time
    - Building credibility by making sure effect is due to intervention
  4. Latin Square
    - Random assignment, multiple groups, treatments in different sequences, group outcomes compared at the end
    - See whether order of treatment has an effect
    - Eg. taking courses in different semesters
  5. Solomon Four-Group
    - Random assignment, 2 control groups and 2 experimental groups, only 1 experimental group and 1 control group get pre-test
    - Addresses the issue of pretests affecting dependent or treatment variable
  6. Factorial Design
    - Treatment is combination of several independent variables simultaneously
    - Interaction effect: the effect of 2 independent variables that opereate together to create a “boost”
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16
Q

What is design notation?

A
  • The name of the symbol system used to discuss parts of an experiment
  • O = observation of dependent variable
  • O1 = pretest
  • O2 = post-test
  • X = treatment/independent variable
  • R = random assignment
17
Q

What is the threat to external validity?

A

Reactivity: subjects are aware thay are in an experiment and being studied

18
Q

Explain the internal and external validity of lab/field/natural experiments. If applicable, talk about how they are addressed.

A
  • Lab experiments have greater internal validity but lower external validity as they are aware they are in an experiment
  • Field experiments are the reverse; more generalizable, less controlled
  • Solution ⟶ deception, no informed consent, or natural experiments
  • QED where researchers examine impact of change in social system by comparing an outcome before and after change is implemented
19
Q

What are the 7 threats to internal validity?

A

Anything that can affect the dependent variable OTHER than the independent variable!

  1. Selection bias
    - Groups in an experiment are not equivalent at the beginning
    - Solution ⟶ random assignment
  2. History effects
    - Something that is unplanned and outside the control of the experiment occurs and affect the dependent variable during an experiment
    - Solution ⟶ equivalent time series, acknowledge that study has limitations
  3. Maturation
    - Due to natural processes of growth or boredom that occurs to subjects (eg. teens) during the experiment
    - Solution ⟶ pre-tests, control groups
  4. Testing effect
    - When the pretest itself affects the dependent variable
    - Solution ⟶ Solomon Four Group Design
  5. Mortality / Attrition
    - Subjects failing to participate through the entire experiment
    - The reason subjects left may have an impact on the outcome
    - Solution ⟶ let participants know it’s OK to leave anytime, ask for feedback to understand why
  6. Contamination/Diffusion of treatment
    - Treatment “spills over” from experimental group, and control group subjects modify their behaviour because they learn of the treatment
    - Solution ⟶ isolate groups, have subjects promise not to reveal anything to others who will become subjects
  7. Experimenter expectancy
    - Researcher indirectly communicates desired findings to subjects
    - Solution ⟶ double-blind experiment (neither the subjects or experimenter knows specifics of treatment)
    - Placebo: a false treatment that appears to be real
20
Q

What is the 2 threats to internal reliability?

A
  1. Statistical Regression
    - A problem of extreme values or a tendency for random errors to move group results toward the average
    - If many research participants score very high or low on a variable, random chance alone will produce a change between the pretest and post-test
    - Solution ⟶ change population, use statistical tools
  2. Instrumentation
    - The measure of dependent variable changes during experiment
    - Solution ⟶ maintenance/calibration of equipment
21
Q

Discuss cross-sectional and longitudinal studies.

A
  1. Cross-sectional: single point in time (descriptive, cheap)
  2. Longitudinal: multiple points in time (explanatory)
    - Time series ⟶ different people looked at different times (eg. time it takes to get home from work in 2005 vs. 2019)
    - Panel study ⟶ same people across multiple time points
    - Cohort study ⟶ category of people who share similar life experience over time