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Common sense knowledge
Milo’s mother is basing her claim on her everyday beliefs and anecdotal experience, not on systematic empirical evidence.
Research question
The inquiry “is estrogen related to depression?” Is formulated as a question that the study seeks to answer
No, we cannot have confidence in the new medications effectiveness
Since both groups- those receiving and those on another anti anxiety medication experienced similarly decreases in anxiety, there is no evidence that the new medications offers a benefit over existing treatments. This result could be due to factors like a placebo effect or natural symptoms improvement rather than a specific effect of the new medication. Without a significant difference between the groups, we cannot conclude that the new medication is superior.
Introduction
The authors predicted outcomes or hypotheses are typically presented in the introduction section of an empirical article.
The type of game
Since every participant played the same boars game (“operation”), the type of game was held constant, making it a controlled variable
Whether participants won against a partner
A reasonable operational definition of performance would involve an objective, measurable outcome- in this case winning (or not) serves as an observable measure of board game performance.
These designs rely on fewer participants
One key advantage of within groups designs is that each participant serves as their own control, which generally requires fewer participants to chive adequate statistical power.
Demand characteristics
Because participants self-report how long it took them to fall asleep after walking, they may adjust their responses based on what they think the experimenter expects, rather than providing an objective measure.
Repeated measure design
The figure shows multiple blood pressure measurements taken from three same participants under different conditions, which is characteristic of a repeated measures design
Effect size
The np2 (eta squared) score is a standardized measure of how much variance in the dependent variable is accounted for by the independent variable- effect size
Adult vs adolescents and textbook reading read vs did not read
X axis textbook reading conditions with two lvls read and did not read. Lines age group one line for adult one line for adolescents
Confidence interval is strong
Mrs. Aims’s report that she’s 95% sure the true percentage lies between 74.2% and 78.8% indicates a narrow (strong) confidence interval around her point estimate
Vanessa may be sleeping better because she is less distracted by studying and goes to bed sooner
Vanessa’s reasoning is confounded by the fact that the nights she listens to music coincide with nights when she finishes studying earlier, suggesting another factor (less studying and earlier bedtime) might be influencing her bed quality
Ordinal
The mood rating on a 1-10 scale is an ordinal measure because the numbers indicate rank order of mood quality, even though researchers sometimes treat such scales as interval data for analysis
All else being equal, there will be greater likelihood of a finding being important in the real world
A larger effect size suggests that the independent variable has a stronger influence on the dependent variable, which increases the likelihood that the finding is practically or clinically meaningful
Students who are psychology majors
Since professor kramer surveyed only the psychology department, his sample can only be generalized to students in that department
Cluster sample
Dr pencil randomly selected five high schools (clusters) from the district and then recruited all students within those schools.
Clarissa’s concern Construct validity
Her doubt about whether “being bullied” can really be measured reflects a worry about construct validity Whether the study accurately operationalizes
Content of the words
The variable that dr lang manipulates is the content of the worlds this is the independent variable
Observational measurement
Watching teachers interact with children with ADHD is an example of
No because participants were not randomly assigned to fraternity/sorority membership
Dr. Bee’s design is not a true experiment because the participants were not randomly assigned to conditions
In true experiments manipulated is to.. variable as measured is to .. variable
The manipulated variable is the independent variable and the measured variable is the dependent or outcome
There was no statistical significance
A null effect indicates that the study did not find statistically significant differences between the compared groups
Reliability
Dr Rodriguez’s concern about whether the measure will yield similar results over time is a question of reliability, specifically test retest reliability
The measure is valid but not reliable
Because a measure must be reliable (consistent) before it can be valid (accurate) it is not possible for a measure to be valid without also being reliable
Effect size tells us more about application than statistical significance
Effect size provides insight into the magnitude or practical importance of that effect
Sampling only those with a consent form
This option aligns with apa guidelines
None of the above
A population is defined as the entire group of interest for a study and is not inherently a sample, simpler than a sample, more scientific, or less expensive to measure than a sample
Self selection sampling
Dr. Space recruits participants from an online support group and invites volunteers, meaning participants choose themselves to be in the study rather than being randomly selected by the researcher
Random assignment is necessary for internal validity, whereas random sampling is necessary for external validity
Random assignment ensures that differences between experimental groups are not due to preexisting differences (internal validity), while random sampling helps ensure that the findings generalize to the larger population (external validity)
Dr. Finn’s study in which he measured job commitment in a group of workers in Japan as well as a group of workers in Mexico
A within subjects design involves measuring the same participants under different conditions. Dr Finn’s study compares different groups (workers in Japan vs Mexico), making it a between subjects design rather than a within subjects design
2
In a 2Ă—4 factorial design there are two independent variables 2 levels and one with 4 levels
They allow researchers to understand the nuances of how variables work together
Factorial designs let researchers examine main effects as well as interaction effects between variables, providing deeper insights into how variables jointly influence outcomes.
Whether the participant drank coffee in the 24 hours prior to the study
This operationalization categorizes participants based on a yes/no response which is a nominal measurement
Rigorous
The brush acronym stands for Brief, Relevant, Unambiguous, Specific, and Objective.
It is not one question
The question is problematic because it is a double barreled