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What is a hypothesis and how do you write one for a research paper?
What is a hypothesis and how do you write one for a research paper?
What is a hypothesis and how do you write one for a research paper? | RISE Research
What is a hypothesis and how do you write one for a research paper? | RISE Research
RISE Research
RISE Research
TL;DR: A hypothesis is a specific, testable prediction that sits at the center of your research paper. It tells the reader exactly what you expect to find and why. Writing a strong hypothesis requires a clear research question, a defined relationship between variables, and a measurable outcome. This post explains what a hypothesis is, how to write one step by step, and what separates a strong hypothesis from a weak one that stalls your entire project.
Introduction
Most high school students think a hypothesis is a guess. It is not. A hypothesis is a precise, evidence-informed prediction about the relationship between two or more variables. Understanding what is a hypothesis and how do you write one for a research paper is one of the most important skills in the entire research process, because every other section of your paper, your methodology, your results, your discussion, depends on getting this right.
Students who write vague hypotheses do not just produce weak openings. They produce papers that cannot be evaluated, journals that cannot accept them, and university applications that lack the specificity admissions officers look for. A hypothesis is not decoration. It is the structural foundation of your argument.
This post gives you a clear definition, a step-by-step process, concrete examples, and the tools you need to write a hypothesis that holds up under peer review.
What is a hypothesis and why does it matter for your research paper?
Answer: A hypothesis is a testable, falsifiable statement that predicts the relationship between an independent variable and a dependent variable in your study. It gives your research a specific direction and a measurable outcome. Without a strong hypothesis, a research paper lacks focus and cannot be evaluated against evidence.
In the structure of a research paper, the hypothesis appears after your literature review and before your methodology. It is the pivot point between what is already known and what you intend to find out. The literature review establishes the gap in existing knowledge. The hypothesis states your prediction about how that gap can be addressed.
A paper without a clear hypothesis tends to drift. The methodology becomes unfocused. The results section has no clear standard against which to measure findings. The discussion has nothing specific to confirm or challenge. Peer reviewers and admissions readers notice this immediately.
For university applications, a well-formed hypothesis signals that a student understands how academic inquiry works. It demonstrates analytical thinking, not just curiosity. That distinction matters significantly to admissions officers at selective universities, as outlined in this analysis of what Ivy League admissions officers say about research in high school.
How to write a hypothesis for a research paper: a step-by-step process for high school students
Writing a hypothesis is not a single act. It is a process with distinct stages. Each stage builds on the one before it.
Step 1: Start with a specific research question. Before you can write a hypothesis, you need a question that is narrow enough to answer. A broad question like "How does stress affect students?" cannot generate a testable hypothesis. A focused question like "Does daily homework load exceeding three hours correlate with higher cortisol levels in Grade 11 students?" can. If your research question cannot be answered with data you can realistically collect, revise it before moving forward. This step is covered in detail in the guide on how to write a research paper in high school.
Step 2: Identify your independent and dependent variables. Every hypothesis involves at least two variables. The independent variable is what you are manipulating or observing as a cause. The dependent variable is what you are measuring as an effect. In the example above, daily homework load is the independent variable. Cortisol levels are the dependent variable. Write these out explicitly before drafting your hypothesis. Students who skip this step often write predictions that are untestable because the variables are not defined.
Step 3: Review existing literature to form a directional prediction. A hypothesis is not a guess pulled from thin air. It is an informed prediction based on what prior research suggests. Search Google Scholar or PubMed for studies related to your variables. If three studies suggest that increased academic workload raises stress markers in adolescents, your hypothesis should predict a positive relationship between homework load and cortisol. The literature gives you the basis for your prediction. Without this step, your hypothesis is speculation, not science.
Step 4: Write the hypothesis in an if-then or direct relationship format. There are two standard formats. The if-then format states: "If [independent variable increases or changes], then [dependent variable will respond in a specific way]." The direct relationship format states: "[Independent variable] has a significant positive relationship with [dependent variable] among [specific population]." Both are acceptable. Choose the format that fits your discipline. Psychology and biology often use if-then. Social science and economics research often use direct relationship statements. Either way, the hypothesis must be falsifiable, meaning it must be possible for evidence to prove it wrong.
Step 5: Add specificity with population, measurement, and scope. A strong hypothesis names the population being studied, the measurement tool or metric being used, and the scope of the study. Compare these two versions: "Increased screen time affects sleep quality" versus "Daily screen time exceeding four hours is associated with a reduction in sleep duration of more than 30 minutes among high school students aged 15 to 17, as measured by the Pittsburgh Sleep Quality Index." The second version is testable. The first is not. Specificity is not pedantry. It is what makes a hypothesis useful.
Step 6: Test your hypothesis against the falsifiability standard. Ask yourself: what result would prove this hypothesis wrong? If you cannot answer that question, the hypothesis is not falsifiable and cannot be used in academic research. A hypothesis that says "stress is bad for students" cannot be proven wrong in any meaningful way. A hypothesis that predicts a specific directional relationship between measurable variables can be tested, confirmed, or refuted by data.
The most common mistake at this stage is writing a hypothesis that is actually a research question in disguise. "Does homework affect sleep?" is a question. "Students who complete more than three hours of homework nightly report significantly shorter sleep duration than those who complete fewer than one hour" is a hypothesis. The difference is a prediction with direction and measurability.
Where most high school students get stuck with writing a hypothesis
Three sticking points account for the majority of weak hypotheses produced by high school students working independently.
The first is scope. Students either write hypotheses that are too broad to test with available data, or so narrow that no meaningful conclusion is possible. Calibrating scope requires knowing what data is realistically accessible, which is difficult without research experience.
The second is variable definition. Students frequently confuse constructs with variables. "Academic pressure" is a construct. "Self-reported stress score on the PSS-10 scale" is a variable. A hypothesis built on constructs rather than defined variables cannot be operationalised into a study design.
The third is the literature connection. Students who skip the literature review stage write hypotheses that either replicate existing findings without adding value, or predict outcomes that existing research has already refuted. Both produce papers that journals reject. Understanding what existing research says before forming a prediction is a skill that takes practice and guidance to develop well. You can read more about what happens after submission in this post on what happens if a research paper gets rejected.
A PhD mentor addresses all three sticking points directly. They know which variables in your subject area are well-defined and measurable. They can identify within a single session whether your hypothesis is testable with the data you can access. And they have read enough of the literature to tell you immediately whether your prediction is novel or redundant. Most students working alone spend weeks refining a hypothesis that a mentor would redirect in one conversation. You can explore what that mentorship looks like by reading about what makes a great high school research mentor.
If you are at this stage and want a PhD mentor to guide you through writing your hypothesis and the full research process, book a free 20-minute Research Assessment to see what is possible before the Summer 2026 Priority Deadline.
What does a good hypothesis look like? A high school example
Answer: A weak hypothesis is vague, untestable, and lacks defined variables. A strong hypothesis names a specific population, defines both variables with measurable terms, states a directional prediction, and is falsifiable. The difference between the two determines whether a research paper can be evaluated against evidence at all.
Here is a direct comparison in the field of environmental science:
Weak hypothesis: "Air pollution affects the health of people living near factories."
This statement is not falsifiable in any useful sense. "Air pollution" is undefined. "Health" is unmeasured. "People living near factories" has no population boundary. No study design can test this as written.
Strong hypothesis: "Residents living within one kilometer of industrial facilities in urban areas report significantly higher rates of respiratory symptoms, as measured by the Medical Research Council Dyspnoea Scale, compared to residents living more than five kilometers from such facilities."
This version defines the independent variable (proximity to industrial facilities), the dependent variable (respiratory symptoms on a named scale), the population (urban residents), and the comparison group. It predicts a direction (higher rates in the exposed group). It is falsifiable because data could show no significant difference between groups.
What makes the strong example work is not complexity. It is precision. Every term in the hypothesis can be operationalised into a data collection method. That precision is what allows the methodology, results, and discussion sections to function as a coherent argument. For more on building that argument across the full paper, see this guide on how to write a college-level research paper in high school.
The best tools for writing a hypothesis as a high school student
Google Scholar is the starting point for any hypothesis grounded in existing literature. It indexes peer-reviewed journals across all disciplines and is free to access. Use it to search for studies on your independent and dependent variables separately, then together, to understand what relationships have already been documented. The limitation is that full-text access to many articles requires institutional login, but abstracts are almost always available and often sufficient for hypothesis formation.
PubMed is the essential database for hypotheses in biology, medicine, neuroscience, and public health. It is maintained by the National Institutes of Health and indexes over 35 million citations. For high school students working in life sciences, PubMed provides access to the specific variable definitions and measurement tools used in published studies, which is exactly what you need to write a precise hypothesis.
JSTOR provides access to humanities and social science journals. If your hypothesis involves psychology, sociology, history, economics, or political science, JSTOR is the most relevant database. Free accounts allow access to a limited number of articles per month, which is sufficient for hypothesis development at the high school level.
Zotero is a free reference manager that helps you organise the sources you find during your literature search. As you build the evidence base for your hypothesis, Zotero stores citations, highlights, and notes in one place. This becomes essential when you move from hypothesis to full paper, particularly if you are targeting journal submission. You can see examples of what published student research looks like on the RISE Research publications page.
PICO framework tool (via Cochrane Library) is specifically useful for hypotheses in health and social science research. PICO stands for Population, Intervention, Comparison, and Outcome. Walking your hypothesis through this framework forces the specificity that separates testable predictions from vague statements. The Cochrane Library provides free guidance on applying PICO, and the framework translates well beyond clinical research into any study design involving a comparison group.
Frequently asked questions about writing a hypothesis for high school students
What is a hypothesis in a research paper?
A hypothesis in a research paper is a specific, testable prediction about the relationship between an independent variable and a dependent variable. It is based on prior research and is written in a form that can be confirmed or refuted by data collected during the study. It is not a question and not a general statement of interest.
The hypothesis sits between the literature review and the methodology in a standard research paper structure. It tells the reader what the study expects to find and why, based on what existing research already shows. Every element of the study design that follows should be traceable back to the hypothesis.
What is the difference between a hypothesis and a thesis statement?
A thesis statement is the central argument of an essay or analytical paper. A hypothesis is a testable prediction used in empirical research. A thesis statement is supported by reasoning and evidence from sources. A hypothesis is tested by collecting and analyzing original data. They are not interchangeable.
High school students often confuse the two because both appear early in a paper and both state a central claim. The key difference is that a hypothesis must be falsifiable. A thesis statement does not need to be. If you are writing a research paper that involves data collection, you need a hypothesis, not a thesis statement.
Does every research paper need a hypothesis?
No. Quantitative and experimental research papers require a hypothesis. Qualitative research papers, literature reviews, and theoretical papers typically use a research question instead. The choice depends on your methodology. If your study collects and analyzes numerical data to test a relationship, you need a hypothesis. If your study interprets text, interviews, or existing literature, a research question is more appropriate.
Many high school research papers combine elements of both. If you are unsure which applies to your project, the decision should be made at the same time as your methodology, not before it. Getting this alignment right is one of the areas where PhD mentor guidance has the most impact.
How long should a hypothesis be?
A hypothesis is typically one to three sentences. One sentence is standard for simple experimental designs. Two to three sentences may be needed if you are stating both a primary hypothesis and a secondary or null hypothesis. A hypothesis should never be a paragraph. Length is not a measure of quality. Precision is.
The null hypothesis, which states that no significant relationship exists between your variables, is often written alongside the primary hypothesis. Journals and science competitions frequently require both. The null hypothesis gives your statistical analysis a formal baseline to test against.
Can a high school student publish a paper with an original hypothesis?
Yes. High school students publish original research with testable hypotheses in peer-reviewed journals every year. The key requirements are a well-defined hypothesis, an appropriate methodology, and rigorous analysis. Publication is more accessible than most students assume, particularly in journals that accept student and early-career research submissions.
The barrier is not age. It is quality. A hypothesis that is specific, falsifiable, and grounded in existing literature meets the first requirement for publishable research. Students who want to understand what published high school research looks like can review RISE Research scholar projects across disciplines.
Conclusion
A hypothesis is not a guess and it is not a question. It is a precise, falsifiable prediction that gives your entire research paper its direction. The three things that determine hypothesis quality are specificity of variables, grounding in existing literature, and measurability of the predicted outcome. Get all three right and every section of your paper becomes easier to write and easier to defend.
Most students working alone struggle most with variable definition and scope. These are not failures of intelligence. They are failures of exposure. Knowing which variables are well-defined in your field, and which research questions are genuinely open, comes from working closely with someone who has navigated this process many times before. The Summer 2026 Priority Deadline is approaching. If writing a strong hypothesis is a step you want to get right with expert guidance behind you, schedule a free Research Assessment and RISE will match you with a PhD mentor who has done this in your subject area.
TL;DR: A hypothesis is a specific, testable prediction that sits at the center of your research paper. It tells the reader exactly what you expect to find and why. Writing a strong hypothesis requires a clear research question, a defined relationship between variables, and a measurable outcome. This post explains what a hypothesis is, how to write one step by step, and what separates a strong hypothesis from a weak one that stalls your entire project.
Introduction
Most high school students think a hypothesis is a guess. It is not. A hypothesis is a precise, evidence-informed prediction about the relationship between two or more variables. Understanding what is a hypothesis and how do you write one for a research paper is one of the most important skills in the entire research process, because every other section of your paper, your methodology, your results, your discussion, depends on getting this right.
Students who write vague hypotheses do not just produce weak openings. They produce papers that cannot be evaluated, journals that cannot accept them, and university applications that lack the specificity admissions officers look for. A hypothesis is not decoration. It is the structural foundation of your argument.
This post gives you a clear definition, a step-by-step process, concrete examples, and the tools you need to write a hypothesis that holds up under peer review.
What is a hypothesis and why does it matter for your research paper?
Answer: A hypothesis is a testable, falsifiable statement that predicts the relationship between an independent variable and a dependent variable in your study. It gives your research a specific direction and a measurable outcome. Without a strong hypothesis, a research paper lacks focus and cannot be evaluated against evidence.
In the structure of a research paper, the hypothesis appears after your literature review and before your methodology. It is the pivot point between what is already known and what you intend to find out. The literature review establishes the gap in existing knowledge. The hypothesis states your prediction about how that gap can be addressed.
A paper without a clear hypothesis tends to drift. The methodology becomes unfocused. The results section has no clear standard against which to measure findings. The discussion has nothing specific to confirm or challenge. Peer reviewers and admissions readers notice this immediately.
For university applications, a well-formed hypothesis signals that a student understands how academic inquiry works. It demonstrates analytical thinking, not just curiosity. That distinction matters significantly to admissions officers at selective universities, as outlined in this analysis of what Ivy League admissions officers say about research in high school.
How to write a hypothesis for a research paper: a step-by-step process for high school students
Writing a hypothesis is not a single act. It is a process with distinct stages. Each stage builds on the one before it.
Step 1: Start with a specific research question. Before you can write a hypothesis, you need a question that is narrow enough to answer. A broad question like "How does stress affect students?" cannot generate a testable hypothesis. A focused question like "Does daily homework load exceeding three hours correlate with higher cortisol levels in Grade 11 students?" can. If your research question cannot be answered with data you can realistically collect, revise it before moving forward. This step is covered in detail in the guide on how to write a research paper in high school.
Step 2: Identify your independent and dependent variables. Every hypothesis involves at least two variables. The independent variable is what you are manipulating or observing as a cause. The dependent variable is what you are measuring as an effect. In the example above, daily homework load is the independent variable. Cortisol levels are the dependent variable. Write these out explicitly before drafting your hypothesis. Students who skip this step often write predictions that are untestable because the variables are not defined.
Step 3: Review existing literature to form a directional prediction. A hypothesis is not a guess pulled from thin air. It is an informed prediction based on what prior research suggests. Search Google Scholar or PubMed for studies related to your variables. If three studies suggest that increased academic workload raises stress markers in adolescents, your hypothesis should predict a positive relationship between homework load and cortisol. The literature gives you the basis for your prediction. Without this step, your hypothesis is speculation, not science.
Step 4: Write the hypothesis in an if-then or direct relationship format. There are two standard formats. The if-then format states: "If [independent variable increases or changes], then [dependent variable will respond in a specific way]." The direct relationship format states: "[Independent variable] has a significant positive relationship with [dependent variable] among [specific population]." Both are acceptable. Choose the format that fits your discipline. Psychology and biology often use if-then. Social science and economics research often use direct relationship statements. Either way, the hypothesis must be falsifiable, meaning it must be possible for evidence to prove it wrong.
Step 5: Add specificity with population, measurement, and scope. A strong hypothesis names the population being studied, the measurement tool or metric being used, and the scope of the study. Compare these two versions: "Increased screen time affects sleep quality" versus "Daily screen time exceeding four hours is associated with a reduction in sleep duration of more than 30 minutes among high school students aged 15 to 17, as measured by the Pittsburgh Sleep Quality Index." The second version is testable. The first is not. Specificity is not pedantry. It is what makes a hypothesis useful.
Step 6: Test your hypothesis against the falsifiability standard. Ask yourself: what result would prove this hypothesis wrong? If you cannot answer that question, the hypothesis is not falsifiable and cannot be used in academic research. A hypothesis that says "stress is bad for students" cannot be proven wrong in any meaningful way. A hypothesis that predicts a specific directional relationship between measurable variables can be tested, confirmed, or refuted by data.
The most common mistake at this stage is writing a hypothesis that is actually a research question in disguise. "Does homework affect sleep?" is a question. "Students who complete more than three hours of homework nightly report significantly shorter sleep duration than those who complete fewer than one hour" is a hypothesis. The difference is a prediction with direction and measurability.
Where most high school students get stuck with writing a hypothesis
Three sticking points account for the majority of weak hypotheses produced by high school students working independently.
The first is scope. Students either write hypotheses that are too broad to test with available data, or so narrow that no meaningful conclusion is possible. Calibrating scope requires knowing what data is realistically accessible, which is difficult without research experience.
The second is variable definition. Students frequently confuse constructs with variables. "Academic pressure" is a construct. "Self-reported stress score on the PSS-10 scale" is a variable. A hypothesis built on constructs rather than defined variables cannot be operationalised into a study design.
The third is the literature connection. Students who skip the literature review stage write hypotheses that either replicate existing findings without adding value, or predict outcomes that existing research has already refuted. Both produce papers that journals reject. Understanding what existing research says before forming a prediction is a skill that takes practice and guidance to develop well. You can read more about what happens after submission in this post on what happens if a research paper gets rejected.
A PhD mentor addresses all three sticking points directly. They know which variables in your subject area are well-defined and measurable. They can identify within a single session whether your hypothesis is testable with the data you can access. And they have read enough of the literature to tell you immediately whether your prediction is novel or redundant. Most students working alone spend weeks refining a hypothesis that a mentor would redirect in one conversation. You can explore what that mentorship looks like by reading about what makes a great high school research mentor.
If you are at this stage and want a PhD mentor to guide you through writing your hypothesis and the full research process, book a free 20-minute Research Assessment to see what is possible before the Summer 2026 Priority Deadline.
What does a good hypothesis look like? A high school example
Answer: A weak hypothesis is vague, untestable, and lacks defined variables. A strong hypothesis names a specific population, defines both variables with measurable terms, states a directional prediction, and is falsifiable. The difference between the two determines whether a research paper can be evaluated against evidence at all.
Here is a direct comparison in the field of environmental science:
Weak hypothesis: "Air pollution affects the health of people living near factories."
This statement is not falsifiable in any useful sense. "Air pollution" is undefined. "Health" is unmeasured. "People living near factories" has no population boundary. No study design can test this as written.
Strong hypothesis: "Residents living within one kilometer of industrial facilities in urban areas report significantly higher rates of respiratory symptoms, as measured by the Medical Research Council Dyspnoea Scale, compared to residents living more than five kilometers from such facilities."
This version defines the independent variable (proximity to industrial facilities), the dependent variable (respiratory symptoms on a named scale), the population (urban residents), and the comparison group. It predicts a direction (higher rates in the exposed group). It is falsifiable because data could show no significant difference between groups.
What makes the strong example work is not complexity. It is precision. Every term in the hypothesis can be operationalised into a data collection method. That precision is what allows the methodology, results, and discussion sections to function as a coherent argument. For more on building that argument across the full paper, see this guide on how to write a college-level research paper in high school.
The best tools for writing a hypothesis as a high school student
Google Scholar is the starting point for any hypothesis grounded in existing literature. It indexes peer-reviewed journals across all disciplines and is free to access. Use it to search for studies on your independent and dependent variables separately, then together, to understand what relationships have already been documented. The limitation is that full-text access to many articles requires institutional login, but abstracts are almost always available and often sufficient for hypothesis formation.
PubMed is the essential database for hypotheses in biology, medicine, neuroscience, and public health. It is maintained by the National Institutes of Health and indexes over 35 million citations. For high school students working in life sciences, PubMed provides access to the specific variable definitions and measurement tools used in published studies, which is exactly what you need to write a precise hypothesis.
JSTOR provides access to humanities and social science journals. If your hypothesis involves psychology, sociology, history, economics, or political science, JSTOR is the most relevant database. Free accounts allow access to a limited number of articles per month, which is sufficient for hypothesis development at the high school level.
Zotero is a free reference manager that helps you organise the sources you find during your literature search. As you build the evidence base for your hypothesis, Zotero stores citations, highlights, and notes in one place. This becomes essential when you move from hypothesis to full paper, particularly if you are targeting journal submission. You can see examples of what published student research looks like on the RISE Research publications page.
PICO framework tool (via Cochrane Library) is specifically useful for hypotheses in health and social science research. PICO stands for Population, Intervention, Comparison, and Outcome. Walking your hypothesis through this framework forces the specificity that separates testable predictions from vague statements. The Cochrane Library provides free guidance on applying PICO, and the framework translates well beyond clinical research into any study design involving a comparison group.
Frequently asked questions about writing a hypothesis for high school students
What is a hypothesis in a research paper?
A hypothesis in a research paper is a specific, testable prediction about the relationship between an independent variable and a dependent variable. It is based on prior research and is written in a form that can be confirmed or refuted by data collected during the study. It is not a question and not a general statement of interest.
The hypothesis sits between the literature review and the methodology in a standard research paper structure. It tells the reader what the study expects to find and why, based on what existing research already shows. Every element of the study design that follows should be traceable back to the hypothesis.
What is the difference between a hypothesis and a thesis statement?
A thesis statement is the central argument of an essay or analytical paper. A hypothesis is a testable prediction used in empirical research. A thesis statement is supported by reasoning and evidence from sources. A hypothesis is tested by collecting and analyzing original data. They are not interchangeable.
High school students often confuse the two because both appear early in a paper and both state a central claim. The key difference is that a hypothesis must be falsifiable. A thesis statement does not need to be. If you are writing a research paper that involves data collection, you need a hypothesis, not a thesis statement.
Does every research paper need a hypothesis?
No. Quantitative and experimental research papers require a hypothesis. Qualitative research papers, literature reviews, and theoretical papers typically use a research question instead. The choice depends on your methodology. If your study collects and analyzes numerical data to test a relationship, you need a hypothesis. If your study interprets text, interviews, or existing literature, a research question is more appropriate.
Many high school research papers combine elements of both. If you are unsure which applies to your project, the decision should be made at the same time as your methodology, not before it. Getting this alignment right is one of the areas where PhD mentor guidance has the most impact.
How long should a hypothesis be?
A hypothesis is typically one to three sentences. One sentence is standard for simple experimental designs. Two to three sentences may be needed if you are stating both a primary hypothesis and a secondary or null hypothesis. A hypothesis should never be a paragraph. Length is not a measure of quality. Precision is.
The null hypothesis, which states that no significant relationship exists between your variables, is often written alongside the primary hypothesis. Journals and science competitions frequently require both. The null hypothesis gives your statistical analysis a formal baseline to test against.
Can a high school student publish a paper with an original hypothesis?
Yes. High school students publish original research with testable hypotheses in peer-reviewed journals every year. The key requirements are a well-defined hypothesis, an appropriate methodology, and rigorous analysis. Publication is more accessible than most students assume, particularly in journals that accept student and early-career research submissions.
The barrier is not age. It is quality. A hypothesis that is specific, falsifiable, and grounded in existing literature meets the first requirement for publishable research. Students who want to understand what published high school research looks like can review RISE Research scholar projects across disciplines.
Conclusion
A hypothesis is not a guess and it is not a question. It is a precise, falsifiable prediction that gives your entire research paper its direction. The three things that determine hypothesis quality are specificity of variables, grounding in existing literature, and measurability of the predicted outcome. Get all three right and every section of your paper becomes easier to write and easier to defend.
Most students working alone struggle most with variable definition and scope. These are not failures of intelligence. They are failures of exposure. Knowing which variables are well-defined in your field, and which research questions are genuinely open, comes from working closely with someone who has navigated this process many times before. The Summer 2026 Priority Deadline is approaching. If writing a strong hypothesis is a step you want to get right with expert guidance behind you, schedule a free Research Assessment and RISE will match you with a PhD mentor who has done this in your subject area.
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