• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/16

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

16 Cards in this Set

  • Front
  • Back
Experiment
Systematic research study in which the investigator directly varies some factor(s), holds all others constant, and observes the results of the variation.
Field Experiment
Experiments that take place in the field.
Field RESEARCH is a broader term for any empirical research outside the lab, including field studies and studies using nonexperimental methods.
Types of manipulated independent variables
Situational - features in the environment that participants might encounter. Like bystander effects.
Task - Vary type of task. Different types of problems.
Instructional - Telling different groups to perform a task but the HOW is different.
Extraneous Variables
Variables not of interest to the researcher but that might influence behavior being studied if not controlled properly.

a CONFOUND is an uncontrolled extraneous variable that covaries with the independent variable (varies at the same time)
Ceiling and Floor effect
Ceiling - Average scores for the groups in a study are so high that no difference can be determined between conditions.
Like making a test so easy everyone - including dum-dumbs - scores well.
Floor - opposite

Makes it difficult to find a difference between conditions
Subject variables
Ex post facto, natural group, nonmanipulated, quasi-experimental, and participant variables.

Existing characteristics of individuals participating in the study.

In other words, the independent variable is SELECTED, not MANIPULATED
Statistical conclusion validity
The extent to which the researcher uses statistics properly and draws the appropriate conclusions from statistical analysis.
External validity
The degree to which research findings generalize beyond the specific context of the experiment being conducted.

Highest external validity means being able to generalize to other populations, environments and times.
Ecological validity
relevance to everyday cognitive activities of people trying to adapt to their environment.

A type of environmental validity

Ulric Neisser, Cornell
Internal validity
The degree to which an experiment is methodologically sound and confound-free.
Threats to internal validity - Time-based (pre/post-testing)
1. History
2. Maturation - People change
3. Regression to the mean. Larger sets of scores tend to diminish the extremity of extremes because as you get more scores, majority will cluster around the mean.
4. Testing - pretesting influences posttesting. Each time a test is performed subjects become more sensitized to the test.
5. Instrumentation - problem when measurement instrument changes.
Threats to internal validity - Participant-based
1. Subject selection effects - unequivalence of groups. Matching based of pretests, like Brady's monkey experiment.
2. Attrition/Subject mortality - Groups of people are prone to dropping out as the experiment goes on (old people dying). Group becomes less representative.
Four types of validity
1. Statistical conclusion - proper data analysis
2. Construct - defining variables meaningfully and precisely
3. Internal - free of confounding, methodologically sound
4. External - Generalizability
Between vs. Within-subjects designs
Between is when each group is exposed to different conditions
Within, also referred to as repeated-measures, is when one group is exposed to all levels of manipulation.
Techniques to create equivalent groups
1. Random assignment - when every subject has an equal chance of being placed in a group
2. Matching - Participants are grouped based off some characteristic(s) (matching variable). Groups are commonly matched based off age.
3. Controlling Order effects - counterbalancing
Counterbalancing techniques
Participants tested once per condition in a within-subjects design.
1. Complete - Ensure every sequence is used at least once.
2. Partial/incomplete counterbalancing - Subset of all possible sequences is used
3. Latin Square - A super-anal version of complete counterbalancing. Ensures a) every condition of the study occurs equally often in every sequential position and b) every condition follows and precedes every other condition exactly once.

More than once per condition
1. Reverse counterbalancing - present conditions in order, then the opposite order
2. Block randomization - conditions are in a random order, and they don't reset until every condition has occurred.