| Course | D581 Introduction to Research Methods |
|---|---|
| Task | Task 1 |
| Paper type | Research question and hypotheses |
| Length | About 1,000 words, 4 pages |
| Format | APA 7 |
| School | Western Governors University (WGU) |
| Program | BS Psychology |
| Updated | September 2026 |
Free sample paper for D581 Task 1
Longer Days, One Day Off: Framing a Research Question on Whether a Four-Day School Week Changes How Much and How Regularly Rural High School Students Sleep
Student Name
Leavitt School of Health, Western Governors University
D581: Introduction to Research Methods, Task 1
Course Instructor
Month Day, Year
Longer Days, One Day Off: Framing a Research Question on Whether a Four-Day School Week Changes How Much and How Regularly Rural High School Students Sleep
Introduction
Research begins with a question narrow enough to answer. This paper identifies a research topic, explains why it matters, summarizes what prior research shows and leaves unanswered, and states a research question, its variables and its hypotheses. The topic is the four-day school week, an increasingly common schedule in rural districts, and its possible effect on adolescent sleep. The study will be proposed for a composite rural district in Colorado that plans to adopt a four-day week next school year.
Topic and Background
In a four-day school week, students attend school Monday through Thursday or Tuesday through Friday, and districts usually lengthen each school day to keep total instructional hours close to the state requirement. As of the 2018-2019 school year, 24 states had at least one school on a four-day schedule, representing roughly 665 districts and 1,607 schools, most of them small and rural (Morton, 2021). In a national sample of districts, financial savings was the most common reason given for adopting the schedule, cited by 65.1%, and some districts also cited attendance and long bus rides (Morton, 2021).
Adolescent sleep is a serious public health concern. The Centers for Disease Control and Prevention analyzed 2015 Youth Risk Behavior Survey data and found that 72.7% of high school students slept less than the recommended eight hours on school nights (Wheaton et al., 2018). Biological changes in puberty shift adolescents' sleep timing later, while early school start times, homework, activities and screens push the other way, a combination Carskadon (2011) described as a perfect storm for insufficient sleep.
Why This Topic Matters
Four-day school weeks change two things that affect sleep at the same time. The school day becomes longer, often starting earlier or ending later, which could shorten sleep on school nights. At the same time, students gain a weekday without school, which could allow recovery sleep but could also shift sleep later and make schedules more irregular. Morton (2021) noted that rigorous research on the four-day week is scarce and listed students' health and well-being among the areas whose effects remain unknown. Sleep has not, to my knowledge, been measured objectively in four-day districts. District leaders deciding on the schedule have little evidence about its effect on a basic health behavior.
The answer also matters beyond sleep itself. Short and irregular sleep in adolescence is linked with poorer attention, mood and academic performance, and with higher risk of injury, so any schedule that changes sleep could affect outcomes that districts care about for other reasons. Districts that adopt the four-day week for financial reasons may be making a health decision without knowing it. A study that measures sleep directly would give school boards, parents and students information they currently lack when they vote on or adjust a calendar.
Research Question
Among high school students in a rural district, does changing from a five-day to a four-day school week change school-night sleep duration, weekly total sleep and the regularity of sleep timing, compared with students in a similar district that keeps a five-day week?
The question is answerable because the district will change its schedule on a known date, a comparable neighboring district will not, and sleep in both districts can be recorded in the spring before the switch and again a year later.
Variables and Operational Definitions
Independent variable: school schedule, with two levels, four-day week and five-day week, combined with time, before and after the change.
Dependent variable 1, school-night sleep duration: average minutes of sleep on nights before a school day, measured by a wrist-worn actigraph for seven consecutive days and nights.
Dependent variable 2, weekly total sleep: total minutes of sleep across the same seven days.
Dependent variable 3, sleep regularity: the standard deviation, in minutes, of sleep onset times across the seven nights. A larger value means less regular timing.
Covariates: grade, sex, commute time, participation in sports or jobs, and school start and end times.
Hypotheses
Because the schedule could push sleep in opposite directions, the hypotheses are stated separately for each outcome.
H1: Compared with the five-day district, students in the four-day district will show a decrease in school-night sleep duration after the change. The null form (H01) predicts that school-night sleep will change by the same amount in both districts.
H2: Compared with the five-day district, students in the four-day district will show no decrease in weekly total sleep after the change, because recovery sleep on the extra day off will offset shorter school nights. Its null (H02): the two districts' weekly totals shift equally.
H3: Compared with the five-day district, students in the four-day district will show an increase in the variability of sleep onset times after the change. Null (H03): onset variability moves by the same margin in each district.
Type of Study
This will be a quantitative, quasi-experimental study. Random assignment of students to school schedules is not possible, so the design will compare changes over time in a district that adopts the four-day week with changes in a similar district that does not. A qualitative follow-up, such as focus groups on how students use the extra day, could explain the numbers, but the main question calls for measurement of sleep. The full design, sampling and bias controls will be developed in the next task.
Several practical features make the study feasible. The district's decision is public and dated, the comparison district has agreed in principle to take part, and the measures can be collected in school with modest equipment. The main risks, such as low consent rates among families or the district delaying its change, will be addressed in the design.
Conclusion
The four-day school week is spreading in rural districts, adolescent sleep is already short, and the schedule could make it shorter, longer or less regular. A focused question with measured variables and three directional hypotheses turns that uncertainty into a study that can inform districts considering the change.
References
Carskadon, M. A. (2011). Sleep in adolescents: The perfect storm. Pediatric Clinics of North America, 58(3), 637-647. https://doi.org/10.1016/j.pcl.2011.03.003
Morton, E. (2021). Effects of four-day school weeks on school finance and achievement: Evidence from Oklahoma. Educational Researcher, 50(1), 30-40. https://doi.org/10.3102/0013189X20948023
Wheaton, A. G., Jones, S. E., Cooper, A. C., & Croft, J. B. (2018). Short sleep duration among middle school and high school students: United States, 2015. Morbidity and Mortality Weekly Report, 67(3), 85-90. https://doi.org/10.15585/mmwr.mm6703a1
What the D581 Task 1 instructions ask
The first D581 task asks you to design the front end of a research project. Most versions ask you to choose a topic, explain its importance, summarize relevant background research, write a clear research question, identify and operationally define the variables, and state hypotheses. Some versions ask you to name the type of study you plan. The question must be answerable with data you could realistically collect, and the variables must be defined by how they will be measured. The evaluator is looking for alignment: the background should lead to a gap, the gap to the question, and the question to variables and hypotheses that match it.
How this D581 Task 1 example is built
The paper introduces the schedule and the population, then gives background on how common four-day weeks are and why districts adopt them. A second background paragraph summarizes adolescent sleep data and biology. The significance section explains why the schedule could push sleep in opposite directions and states the research gap. The research question appears alone, followed by a sentence on why it is answerable. Variables are listed with operational definitions in minutes and standard deviations. Hypotheses are stated for each outcome with a null for each, and a study type section explains why a quasi-experimental quantitative design fits. A short conclusion ties topic, gap and question together.
Where the D581 Task 1 rubric puts the marks
D581 Task 1 is scored against its aspects individually, each at competent, approaching competence or not evident. A topic aspect checks that the topic is clearly stated and its significance explained. A background aspect asks for relevant research summarized accurately with citations. The research question aspect looks for a clear, focused, answerable question. A variables aspect requires independent and dependent variables identified and operationally defined. A hypotheses aspect asks for testable hypotheses, often with null forms, that match the question. Evaluators reward alignment across these parts. Professional writing and APA citation of background sources are scored as well.
D581 Task 1 help: what sends it back
The most common return is an undefined variable. A dependent variable such as sleep quality cannot be tested until you say how it will be measured. Define each variable in units. Second, research questions are often too broad, such as how schedules affect students. Name the population, the comparison and the outcome. Third, hypotheses sometimes do not match the question, or they predict something the measures cannot detect. Check each hypothesis against a variable. Fourth, background sections can drift into general facts. Keep only research that leads to your gap. Finally, remember that the design comes next, so choose a question that a feasible study could answer. Ask yourself whether you could name a real place to recruit participants and a real instrument to measure each outcome; if not, narrow the question before you submit.
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D581 Task 1 questions, answered
What is an operational definition in D581?
A statement of exactly how a variable will be measured. The sample defines school-night sleep as average minutes asleep on nights before school, recorded by a wrist actigraph over seven days.
Do I need null hypotheses in D581 Task 1?
Many versions expect them. Writing a null for each hypothesis, as the sample does for all three outcomes, shows you understand what the study would actually test statistically.
How narrow should a D581 research question be?
Narrow enough to name the population, the comparison and the outcome in one sentence, and to be answered with data you could realistically collect in a single study.
Is the D581 school district in the sample real?
No. The Colorado district is invented. The counts of four-day schools, the youth sleep survey and the adolescent sleep review cited in the paper are genuine sources.
Where can I find a free D581 Task 1 sample paper?
The complete research question paper is published above with margin notes. For a question built on your own topic, send the D581 instructions and the first custom paper comes to you free.