18 Questions
What is the purpose of inferential statistical analysis?
To exercise the demon of Chance in data
Why are experiments performed according to the text?
To replicate and expand previous findings
What does it mean if dependent variables must be stable?
They consistently produce the same results under the same conditions
Who does data belong to, according to Sidman (1960)?
Both Chance and Science
What is the primary reason for using Small-N Designs?
To understand the minute details of individual performance or behavioral change
What is raw data as defined in the text?
Data collected during research that has not yet been processed
What makes Mixed Designs unique?
A combination of within-subjects design and fully-crossed factorial design
Why is it important for an experimenter to choose independent variables carefully?
To control behavior effectively
Who is credited with the systematic development of Mixed Designs?
Campbell and Fiske
What is the primary characteristic of Small-N designs?
Subjects are tested individually
When should Control Condition Designs be used?
To have a comparative group to evaluate the impact of an intervention
What is a common problem associated with Small-N designs?
Difficulty in observing interactions
What is the historical origin of mixed methods research according to prevalent views?
1959 with Campbell and Fiske's work on triangulation
In Small-N designs, how is data typically analyzed?
Graphically and visually
What drives the use of Mixed Designs in research?
A combination of quantitative and qualitative data for better comprehension
What distinguishes differential carryover effects from general practice effects?
The variability based on treatment order
Why are Small-N designs particularly useful in clinical studies?
For obtaining precise individualized results
Which field commonly utilizes Small-N designs for research purposes?
Behavioral analysis
Study Notes
Data and Science
- Data is considered tainted at birth and belongs either to Chance or to Science, but never both.
- Inferential statistical analysis is used to exercise the demon Chance and ensure data belongs to Science.
Experiments
- An experiment is a controlled procedure to investigate the effects of one or more independent variables on one or more dependent variables.
- Experiments aim to eliminate or minimize extraneous variation and are performed to test theories, replicate and expand previous findings, or contradict prior research.
Independent and Dependent Variables
- Independent variables are chosen because they are thought to control behavior, and their manipulation is inadequate if they do not produce the desired effect.
- Dependent variables must be stable and consistently produce the same results under the same conditions.
Behavioral Research Designs
- Small-N Designs are used when interested in minute details of individual performance or behavioral change, or when few subjects are available.
- Mixed Designs combine within-subjects and fully-crossed factorial designs and are used when both quantitative and qualitative data are needed.
Mixed Designs
- Mixed Designs originated in agricultural research and were popularized by Campbell and Fiske's work on triangulation in 1959.
- Data analysis in Mixed Designs involves combining quantitative and qualitative data.
Control Condition Designs
- Control Condition Designs ensure each treatment appears equally often in different positions within the sequence to prevent differential carryover effects.
- Complete counterbalancing makes sure all possible treatment orders are used to balance out order effects.
Small-N Designs
- Small-N Designs involve one or a few subjects, run individually, with long experiment duration, and data analyzed visually with minimal use of inferential statistics.
- Small-N Designs are used in clinical studies, education, and training, and have a long history dating back to Sir Francis Galton's work on correlations and Sir Ronald Fisher's development of ANOVA.
Explore the fundamental concepts in data analysis in psychology through the lens of Sidman (1960). Learn about the process of inferential statistical analysis, reporting data, and working with raw data.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
