L12: CRITICAL THINKING IN RESEARCH Flashcards

(40 cards)

1
Q

What does critical thinking mean in research?

A

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?

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2
Q

What’s the difference between causal and predictive hypotheses?

A

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.”

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3
Q

What is a quasi-experiment?

A

A study without full experimental control.

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4
Q

What’s missing in a quasi-experiment?

A

Random assignment

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5
Q

When is a quasi-experiment used?

A

When random assignment isn’t possible, ethical, or practical

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6
Q

Can quasi-experiments show causality

A

They can suggest it, but not prove it fully

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7
Q

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?

A

Quasi - experimental
You can strengthen the design using random assignments and measure pre-test academic performances. Before the course

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8
Q

What is a key issue with this design? On the scenario

A

It’s a quasi-experiment because there is no random assignment to groups.

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9
Q

What are potential confounding variables in this design? - quasi - experimental

A

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

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10
Q

Why is self-selection a problem?

A

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.

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11
Q

What is the most common type of quasi-experimental design?

A

A non-equivalent control group design

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12
Q

What does a non-equivalent control group design include?

A

An experimental group
A control group
No random assignment of participants

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13
Q

What’s the main problem with this design - non-equivalent control groups?

A

We don’t know if the groups were equivalent on key variables (like the IV) before the treatment.

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14
Q

Why is lack of random assignment a concern?

A

Because it increases the risk of pre-existing differences between groups influencing the results

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15
Q

What are the key features of a True Experiment?

A

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

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16
Q

What’s a typical conclusion from a True Experiment?

A

The different levels of the IV caused different performance on the DV.

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17
Q

What are the key features of a Quasi-Experiment?

A

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

18
Q

What’s a typical conclusion from a Quasi-Experiment?

A

“The groups performed differently on the outcome measure,” but causality can’t be confirmed.

19
Q

What are designs without a control group?

A

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.

20
Q

What is an Interrupted Time Series design?

A

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.

21
Q

What is an A-B design?

A

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

22
Q

What are the problems with Repeated Treatment and A-B-A designs?

A

Treatment effects may not be reversible (e.g., learning can’t be “unlearned”).

Sometimes it’s unethical or unwanted to withdraw a beneficial treatment.

23
Q

What is a Cross-Sectional Study in developmental research?

A

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

24
Q

What is a potential problem with Cross-Sectional Studies?

A

They may be confounded by cohort effects, meaning differences could be due to the groups’ shared experiences rather than age

25
What is a cohort effect?
A cohort effect happens when differences between groups are caused by their unique experiences or time period they grew up in, not by age or development. For example, people who grew up during the internet age might think differently than those who didn’t, even if they’re the same age.
26
What is a longitudinal study?
It studies the same group of people over time to observe changes
27
What is a secular trend?
A change happening in the general population over time that can affect study results.
28
What is a potential confound in longitudinal studies?
Secular trends can confuse whether changes are due to aging or general population shifts. So people born in 1980 they studied them each year to find how many used internet regularly
29
What is a cross-sequential design?
It studies 2 or more cohorts at 2 or more times, testing the same ages across different years. So it goes diagonally and looks at different years but different ages as well so in 2000, people born in 1960 and then in 2010 people born in 1980
30
Why use a cross-sequential design?
To help separate developmental effects, cohort effects, and secular trends.
31
What are time lag effects?
Differences that come from comparing people of the same age but tested in different years.
32
Task: Identify the design Impact of a Smoking Ban on Hospital Admissions •Study: Researchers track the number of hospital admissions for respiratory conditions monthly for 5 years before a public smoking ban is implemented. They continue tracking admissions for 5 years after the ban to assess changes A. True experimental design B. Interrupted time-series design C. Longitudinal design D. Naturalistic observation
Interrupted time serious design
33
Task: Identify the confound Reading Comprehension in Aging Populations •A longitudinal study tracking reading comprehension in aging adults from 2000 to 2030 Which of the following best describes a secular trend that could affect this longitudinal research A. Individual differences in participant reading ability B. Age-related decline in processing speed C. An increase in digital reading changing reading habits D. Older readers are slower
c
34
What is reproducibility in research
The ability to reproduce the method, data preparation, and statistical output of a study using the same data.
35
What is replicability in research?
The ability to find the same effects when conducting a study with a new dataset.
36
What is a conceptual replication in research?
A study that tests the same idea or theory as a previous study, but uses different methods or measures. It assumes the original effect exists and checks if the concept holds under varied conditions
37
What is the importance of direct replication in research?
It confirms the reliability of a finding by repeating the exact same method and seeing if the same result is found, especially when done by independent labs
38
What does the research say about bilingualism and age-related cognitive decline?
Some studies (e.g. Study A, Study C) show that bilinguals, especially early bilinguals, may have better executive function and brain activation linked to cognitive control. Others (e.g. Study B) found no difference in cognitive decline over time. Study D suggests that benefits depend on when bilingualism began—early bilinguals show more advantages than late bilinguals.
39
What is a meta-analysis?
A meta-analysis combines results from many studies to get an overall picture of a research topic. It focuses on effect sizes rather than just statistical significance.
40
A study that examines the effect of gender on cognitive functioning is an example of a: a) Non-equivalent control group design B) Repeated measures design C) True experiment D) Quasi-experiment
D