| Course | PS300 Research Methods I |
|---|---|
| Unit | Unit 2 |
| Paper type | Research methods comparison |
| Length | About 490 words, 4 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | BS in Psychology |
| Updated | October 2026 |
Free sample paper for PS300 Unit 2
Four Designs for One Crosswalk Question: A PS300 Unit 2 Research Methods Comparison
[Student Name]
Purdue University Global
PS300: Research Methods I
Unit 2 Research Methods Comparison
[Instructor Name]
[Date]
The research question and intersection are composite; the methods and studies described are real.
The Question
At a busy intersection near a university campus in Spokane, many pedestrians cross while looking at their phones. The research question is whether phone use while crossing is associated with less safe behavior, such as not looking before stepping into the street or crossing against the signal, and, if possible, whether phone use causes it.
Naturalistic Observation
Observers stand near the intersection and record each pedestrian's behavior without interacting: whether the person is using a phone and whether they look left and right or cross against the signal. Observation captures real behavior in its natural setting, which is its main strength; people do not change how they cross because they know they are being studied, if observers are unobtrusive. Its weaknesses are that it records behavior but not reasons or experiences, observers must agree on what counts as phone use, and it cannot rule out other explanations. Thompson et al. (2013) used this design at 20 Seattle intersections and found that about three in ten pedestrians were doing something distracting while crossing.
Survey
A survey asks people about their own phone use while walking and any near misses. It can reach many people and ask about experiences an observer cannot see, such as how often someone has nearly been hit. Its weaknesses are self-report bias, since people may underreport behavior they know is risky, and memory errors. A survey also depends on who chooses to respond (Cozby & Bates, 2020).
Observation sees what people do at the curb; a survey hears what they say they do, and the two can disagree.
Correlational Analysis
Either the observation or the survey can be analyzed correlationally, measuring whether phone use and unsafe crossing go together. A correlation can show association and its strength. It cannot show which causes which, and a third variable, such as being in a hurry, might produce both.
Experiment
An experiment would randomly assign participants to cross while texting or not and measure their behavior. Random assignment balances other differences between groups, so a difference in behavior could be attributed to texting. Running this at a real intersection would expose participants to danger, which the APA Ethics Code's requirement to avoid harm rules out (American Psychological Association, 2017). Researchers have instead used simulated environments, such as virtual street crossings, which trade realism for safety.
Choosing Designs
For a course project, combining naturalistic observation with a survey is the best fit. Observation will measure how common phone use is and whether it is associated with unsafe behavior; the survey will add self-reported near misses and reasons. Neither will establish cause, and the project's conclusions will say so.
References
American Psychological Association. (2017). Ethical principles of psychologists and code of conduct (2002, amended effective June 1, 2010, and January 1, 2017). https://www.apa.org/ethics/code
Cozby, P. C., & Bates, S. C. (2020). Methods in behavioral research (14th ed.). McGraw-Hill Education.
Thompson, L. L., Rivara, F. P., Ayyagari, R. C., & Ebel, B. E. (2013). Impact of social and technological distraction on pedestrian crossing behaviour: An observational study. Injury Prevention, 19(4), 232-237. https://doi.org/10.1136/injuryprev-2012-040601
The Purdue Global PS300 Unit 2 instructions
Unit 2 in PS300 typically asks you to compare research designs for a single question and explain which fits. State the question precisely first. For each design, describe how it would be applied to that question, what it could conclude and its main weaknesses, rather than giving general definitions. Distinguish designs from analyses where relevant; correlation, for instance, can be applied to observational or survey data. Address what it would take to show cause and whether that is ethical or practical for your question. Use an example of published research that used one of the designs. Close by choosing a design or combination for your project and stating in advance what the conclusions will not be able to claim.
How this PS300 Unit 2 example is built
The paper defines the crosswalk question and then applies four designs to it. Observation is described with unobtrusive coding at the corner, its realism and its inability to see reasons, with Thompson and colleagues' Seattle rate. The survey section covers near misses, self-report bias and who chooses to respond, under a highlighted line that observation and survey can disagree. Correlation is treated as an analysis either design can use. The experiment section explains random assignment, why the APA code's harm standard rules it out on a real street and how simulations trade realism for safety. The close chooses observation plus survey and states that neither will establish cause.
PS300 Unit 2 rubric: what earns full points
Credit in this comparison comes from applying each design to the same question and judging what it can conclude. Instructors look for strengths and weaknesses that are specific to the question, such as self-report bias in near-miss reporting, rather than textbook lists. Recognizing that correlation is an analysis, not a separate data source, shows clear understanding. Addressing causation and ethics together demonstrates mature judgment about research. A published example used accurately connects the comparison to the field. A final choice with its limitation stated earns more than a choice presented as perfect. Accurate citations for methods sources and examples complete the paper. Combining two designs, each covering the other's blind spot, is often rewarded when the reasoning is explicit.
PS300 Unit 2 help from the desk
The most frequent weakness lists definitions of each design with no reference to the question. Another is calling an experiment the best design without considering whether it is possible or ethical. Students often treat correlation as a design that collects its own data. Surveys and observations are sometimes presented as interchangeable. Final choices tend to omit limitations. Before submitting, check that every design paragraph mentions your specific question, that your experiment section addresses ethics, that you explain what correlation can and cannot show and that your chosen design comes with a sentence stating what it will not prove. Those four checks keep the comparison anchored in the question.
Get a PS300 Unit 2 example written to your instructions
Share your question and the instructions with the rubric. A custom paper compares designs and explains which fits. Turnaround is 24-48h, free the first time. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
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PS300 Unit 2 questions, answered
Which design can show cause?
A true experiment with random assignment, under appropriate conditions.
Why not always run experiments?
Many questions cannot be manipulated ethically or practically.
What is a correlational design?
One that measures how two variables vary together without manipulating either.
Where can I find a free PS300 Unit 2 sample paper?
The full PS300 Unit 2 comparison is on this page, weighing observation, survey, correlation and experiment for a composite crosswalk study.
Why does the PS300 Unit 2 sample rule out an experiment?
Randomly assigning people to text while crossing a real street would expose them to harm, which the APA Ethics Code forbids.