L12: CRITICAL THINKING IN RESEARCH Flashcards
(40 cards)
What does critical thinking mean in research?
Questions – What are your hypotheses?
Data – How will you collect it?
Measures – Are your tools valid and reliable?
Conclusions – Are your findings strong and supported?
What’s the difference between causal and predictive hypotheses?
Causal: “If I change X, Y will change.” The researcher controls the cause.
Predictive: Predicts a relationship, but doesn’t control variables. “These groups respond differently.”
What is a quasi-experiment?
A study without full experimental control.
What’s missing in a quasi-experiment?
Random assignment
When is a quasi-experiment used?
When random assignment isn’t possible, ethical, or practical
Can quasi-experiments show causality
They can suggest it, but not prove it fully
A psychologist compares academic performance between students who voluntarily enrolled in a mindfulness course and those who did not.
What is the research design in this study scenario?
Quasi - experimental
You can strengthen the design using random assignments and measure pre-test academic performances. Before the course
What is a key issue with this design? On the scenario
It’s a quasi-experiment because there is no random assignment to groups.
What are potential confounding variables in this design? - quasi - experimental
Self-selection bias (students who choose mindfulness may be more motivated)
Baseline academic ability
Mental health or stress levels
Time availability
Interest in self-improvement
Why is self-selection a problem?
Because the students who choose mindfulness might already differ in ways that affect academic performance, making it hard to tell if mindfulness caused any effect.
What is the most common type of quasi-experimental design?
A non-equivalent control group design
What does a non-equivalent control group design include?
An experimental group
A control group
No random assignment of participants
What’s the main problem with this design - non-equivalent control groups?
We don’t know if the groups were equivalent on key variables (like the IV) before the treatment.
Why is lack of random assignment a concern?
Because it increases the risk of pre-existing differences between groups influencing the results
What are the key features of a True Experiment?
Start with equal groups (random assignment)
Vary one factor (the independent variable)
Measure and compare the outcome (dependent variable)
Differences in the DV are caused by the IV
What’s a typical conclusion from a True Experiment?
The different levels of the IV caused different performance on the DV.
What are the key features of a Quasi-Experiment?
Groups are divided based on one factor (no random assignment)
Groups are not equal at the start
Measure and compare the outcome variable
Causality is less certain
What’s a typical conclusion from a Quasi-Experiment?
“The groups performed differently on the outcome measure,” but causality can’t be confirmed.
What are designs without a control group?
Interrupted time series and A-B design.
A-B design applies interrupted time series to a single participant.
They risk confounding from time, season, or other coincidental changes.
What is an Interrupted Time Series design?
It measures a behavior or outcome repeatedly over time before and after an event or intervention to see if there was a change. It doesn’t have a control group.
What is an A-B design?
It’s a simple study of one person where you measure before (A) and after (B) an intervention to see if it made a difference. There’s no control group
What are the problems with Repeated Treatment and A-B-A designs?
Treatment effects may not be reversible (e.g., learning can’t be “unlearned”).
Sometimes it’s unethical or unwanted to withdraw a beneficial treatment.
What is a Cross-Sectional Study in developmental research?
It studies several groups of people of different ages all at the same time to compare development across ages.
It looks at same year but different ages of people
What is a potential problem with Cross-Sectional Studies?
They may be confounded by cohort effects, meaning differences could be due to the groups’ shared experiences rather than age