{"id":17461,"date":"2026-10-12T20:56:04","date_gmt":"2026-10-12T15:56:04","guid":{"rendered":"https:\/\/www.theacademicpapers.co.uk\/blog\/?p=17461"},"modified":"2026-10-12T21:00:40","modified_gmt":"2026-10-12T16:00:40","slug":"how-to-write-research-hypothesis","status":"publish","type":"post","link":"https:\/\/www.theacademicpapers.co.uk\/blog\/blog\/2026\/10\/12\/how-to-write-research-hypothesis\/","title":{"rendered":"How to Write a Research Hypothesis (with Examples)"},"content":{"rendered":"<h2><b>Key Takeaways<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A hypothesis is a testable prediction about differences, influences, and relationships among variables.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The difference between a research question and a hypothesis is that research questions \u201cask,\u201d while hypotheses \u201cpredict\u201d.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A strong hypothesis relies on being specific, measurable, testable, falsifiable, theory-based, and feasible.\u00a0<\/span><\/li>\n<\/ul>\n<h2><b>Introduction<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">A research hypothesis is a specific, testable prediction about what you expect to find in your study. It states how two or more measurable variables connect, drawing directly from existing theory or prior empirical research. Rather than asking an open question, a hypothesis makes an educated, directional or non-directional guess about the outcome.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you are a student writing an undergraduate or postgraduate <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2024\/11\/29\/guide-to-dissertation-writing\/\"><span style=\"font-weight: 400;\">dissertation<\/span><\/a><span style=\"font-weight: 400;\"> at a UK university, understanding <\/span><b>how to write a hypothesis<\/b><span style=\"font-weight: 400;\"> is essential for any quantitative project. It provides the foundation for your data collection, your choice of statistical tests, and your final discussion.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This step-by-step guide by <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/\"><b>The Academic Papers UK<\/b><\/a><span style=\"font-weight: 400;\"> breaks down everything you need to know: from distinguishing research questions from hypotheses to choosing the right statistical tests and avoiding common pitfalls.<\/span><\/p>\n<h2><b>Research Question vs Hypothesis: What's the Difference?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Every empirical dissertation starts with a broad issue, but students frequently confuse the research question with the hypothesis.\u00a0 Answering the core question directly: A research question asks an open-ended inquiry about an academic problem, whereas a hypothesis provides a tentative, testable answer to that question. The research question is <\/span><i><span style=\"font-weight: 400;\">what you want to explore<\/span><\/i><span style=\"font-weight: 400;\">, and the hypothesis is <\/span><i><span style=\"font-weight: 400;\">what you think<\/span><\/i><span style=\"font-weight: 400;\"> will be the relationship, difference, or effect between the variables. Considering this, the following table provides you with a clear understanding of their differences.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Feature<\/b><\/td>\n<td><b>Research Question<\/b><\/td>\n<td><b>Hypothesis<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Form<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Written as a question<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Written as a prediction<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">When Used<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Early-stage or exploratory research<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Quantitative studies with measurable variables<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Research Approach<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Often inductive<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Both inductive and deductive<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Role in Analysis\u00a0<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Organises chapters, defines the topic, and guides how to <\/span><span style=\"font-weight: 400;\">write aims and objectives.\u00a0<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Directs inferential statistical testing (e.g., t-tests, regressions, ANOVA).\u00a0\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Example<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Does social media use affect academic performance?<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Students with higher social media use will have lower academic performance.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h3><b>Do Qualitative Dissertations Need a Hypothesis?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">In almost all cases, no. Qualitative dissertations (using interviews, focus groups, <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2021\/10\/02\/what-is-thematic-analysis-advantages-and-disadvantages\/\"><b>thematic analysis<\/b><\/a><span style=\"font-weight: 400;\">, or phenomenology) rely on an inductive research logic. Inductive research explores lived human experiences, meanings, and social contexts without prejudging what the data will reveal. Imposing a fixed hypothesis before gathering open-ended <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2025\/10\/01\/abbreviated-qualitative-analysis-scheme\/\"><b>qualitative data<\/b><\/a><span style=\"font-weight: 400;\"> restricts exploratory findings and contradicts <\/span><b>qualitative methodology. <\/b><span style=\"font-weight: 400;\">\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you are conducting a qualitative project, focus your efforts on developing 1 to 3 robust research questions and linked sub-questions instead of constructing statistical hypotheses.<\/span><\/p>\n<h2><b>How to Write a Hypothesis in 6 Steps<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">A research hypothesis can be written by applying 6 steps. These steps include;<\/span><\/p>\n<p><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" data-src=\"https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/six-steps-to-write-a-hypothesis-6acd017c98d2d.webp\" class=\"alignnone size-full wp-image-17463 lazyload\" alt=\"How to write a hypothesis in 6 steps\" width=\"100%\"><noscript><img decoding=\"async\" class=\"alignnone size-full wp-image-17463\" src=\"https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/six-steps-to-write-a-hypothesis-6acd017c98d2d.webp\" alt=\"How to write a hypothesis in 6 steps\" width=\"100%\" srcset=\"https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/six-steps-to-write-a-hypothesis-6acd017c98d2d.webp 1024w, https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/six-steps-to-write-a-hypothesis-6acd017c98d2d-200x300.webp 200w, https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/six-steps-to-write-a-hypothesis-6acd017c98d2d-683x1024.webp 683w, https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/six-steps-to-write-a-hypothesis-6acd017c98d2d-768x1152.webp 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/noscript><\/p>\n<h3><b>1. Start with a focused research question<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Start with a question that helps you determine what you will be studying. For instance: <\/span><i><span style=\"font-weight: 400;\">\u201cDoes studying time impact the scores of the students at the undergraduate level?\u201d<\/span><\/i><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is necessary to understand that your research hypothesis should be based on this question.\u00a0<\/span><\/p>\n<h3><b>2. Review the literature or theory<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A research hypothesis cannot be an arbitrary personal guess. You must perform an extensive <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2021\/04\/02\/literature-review-structure\/\"><b>literature review<\/b><\/a> <span style=\"font-weight: 400;\">and research on established educational theories to support your expectation. In this case, educational learning theories (such as Carroll\u2019s Model of School Learning) propose that academic achievement is directly related to time spent actively engaged in learning tasks. Empirical higher-education literature consistently demonstrates that focused revision hours correlate positively with academic performance.\u00a0<\/span><\/p>\n<h3><b>3. Identify your variables<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Variables are key factors, quantities, or characteristics that can change or influence others. While writing a <\/span><b>hypothesis for a dissertation<\/b><span style=\"font-weight: 400;\">, you should identify these variables so that you can test their relationship.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Break your core construct down into operational, measurable components:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Independent Variable (IV)<\/b><b>:<\/b><span style=\"font-weight: 400;\"> The variable presumed to cause, predict, or influence change <\/span><span style=\"font-weight: 400;\">(e.g., <\/span><i><span style=\"font-weight: 400;\">Weekly independent study time, measured in total self-reported hours<\/span><\/i><span style=\"font-weight: 400;\">).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Dependent Variable (DV):<\/b> <span style=\"font-weight: 400;\">The outcome variable measured to assess the effect of the IV <\/span><span style=\"font-weight: 400;\">(e.g., <\/span><i><span style=\"font-weight: 400;\">Undergraduate end-of-module assessment score, measured on a continuous 0\u2013100 percentage scale<\/span><\/i><span style=\"font-weight: 400;\">).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Control Variables:<\/b><span style=\"font-weight: 400;\"> Extraneous factors accounted for or held constant to avoid skewed results (e.g., <\/span><i><span style=\"font-weight: 400;\">Prior academic achievement\/entry tariff, lecture attendance rate, employment hours outside university<\/span><\/i><span style=\"font-weight: 400;\">). Learn more about isolating external influences in our guide on<\/span> <a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2022\/12\/27\/control-variables\/\"><span style=\"font-weight: 400;\">control variables<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/li>\n<\/ul>\n<h3><b>4. Predict the relationship and direction<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Determine whether prior academic literature supports a specific direction (e.g., higher\/lower) or if conflicting findings justify only predicting a non-directional relationship. Because extensive educational research links increased study time with improved academic attainment, a <\/span><b>directional<\/b><span style=\"font-weight: 400;\"> relationship is justified.\u00a0<\/span><\/p>\n<h3><b>5. Write H<\/b><b>1<\/b><b> and H<\/b><b>0<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The null hypothesis and alternative hypothesis are two complementary statements of the hypothesis that are statistically tested (which will be explained in detail later in the guide). Formulate both predictions using formal academic phrasing:\u00a0\u00a0\u00a0<\/span><\/p>\n<ul>\n<li><b>Alternative Hypothesis (H<\/b><b>1<\/b><b>): <\/b><span style=\"font-weight: 400;\">Weekly independent study time has a statistically significant positive relationship with end-of-module examination scores among undergraduate students.<\/span><\/li>\n<li><b>Null Hypothesis (H<\/b><b>0<\/b><b>): <\/b><span style=\"font-weight: 400;\">Weekly independent study time has no statistically significant relationship with end-of-module examination scores among undergraduate students.\u00a0\u00a0<\/span><\/li>\n<\/ul>\n<h3><b>6. Check that it is testable\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Ensure that your variables produce data that match your planned analytical test. Here, measuring two continuous numerical variables across the same student cohort (hours studied per week and examination score out of 100) indicates that a correlation or regression might be the appropriate statistical method (which is suitable? It\u2019s yours to find!).<\/span><\/p>\n<h3><b>Writing Formats: \"If... Then\" vs Academic Declarative Phrasing<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Introductory science classes often teach the basic format:<\/span><\/p>\n<blockquote><p><span style=\"font-weight: 400;\">\"If undergraduate students spend more time studying, then their test scores will increase.\"<\/span><\/p><\/blockquote>\n<p><span style=\"font-weight: 400;\">While this conditional structure demonstrates basic cause-and-effect, it appears simplistic in university-level dissertations. At undergraduate and postgraduate levels, write in clear declarative statements that explicitly embed your measurable variables:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Basic Form: \"If undergraduates study more hours, their module marks will go up.\"<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Academic Standard Form: \"Weekly independent study hours are significantly positively correlated with final module assessment grades among UK undergraduate students.\"<\/span><\/li>\n<\/ul>\n<h2><b>Null and Alternative Hypothesis Examples<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">H<\/span><span style=\"font-weight: 400;\">0,<\/span><span style=\"font-weight: 400;\"> or the null hypothesis, means that there is no significant difference, association, or effect. On the other hand, H<\/span><span style=\"font-weight: 400;\">1<\/span><span style=\"font-weight: 400;\"> means that there is a difference, association or effect. According to National University Statistics Resources, in the case of statistical tests, the researchers will evaluate the evidence against H<\/span><span style=\"font-weight: 400;\">0<\/span><span style=\"font-weight: 400;\">. They tend to reject H<\/span><span style=\"font-weight: 400;\">0<\/span><span style=\"font-weight: 400;\"> if evidence is strong enough and do not reject H<\/span><span style=\"font-weight: 400;\">0<\/span><span style=\"font-weight: 400;\"> if it is not. The following are <\/span><b>null and alternative hypothesis examples<\/b><span style=\"font-weight: 400;\">;\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Alternative Hypothesis (H<\/b><b>1<\/b><b>):<\/b><span style=\"font-weight: 400;\"> There is a significant relationship between quality sleep and increased focus on studying.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Null Hypothesis (H<\/b><b>0<\/b><b>):<\/b><span style=\"font-weight: 400;\"> There is no significant relationship between quality sleep and increased focus on studying.<\/span><\/li>\n<\/ul>\n<h3><b>How to Write a Null Hypothesis<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A null hypothesis (H<\/span><span style=\"font-weight: 400;\">0<\/span><span style=\"font-weight: 400;\">) is a statement that highlights no statistically significant relationship, difference or effect between the variables being studied.<\/span><\/p>\n<blockquote><p><b>Example:<\/b><span style=\"font-weight: 400;\"> H<\/span><span style=\"font-weight: 400;\">0<\/span><span style=\"font-weight: 400;\">: In the UK, there is no significant difference between the satisfaction of full-time students and part-time students of the university courses.\u00a0<\/span><\/p><\/blockquote>\n<h3><b>How to Write an Alternative Hypothesis<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">An alternative hypothesis (H<\/span><span style=\"font-weight: 400;\">1<\/span><span style=\"font-weight: 400;\">) is a statement outlining the relationship, difference or effect that the researcher expects to examine.\u00a0<\/span><\/p>\n<blockquote><p><b>Example:<\/b><span style=\"font-weight: 400;\"> H<\/span><span style=\"font-weight: 400;\">1<\/span><span style=\"font-weight: 400;\">: UK students are significantly more satisfied with their university courses when they are full-time than when they are part-time.\u00a0<\/span><\/p><\/blockquote>\n<h3><b>Paired Null and Alternative Hypothesis (<\/b><b>H<\/b><b>0<\/b><b> and H<\/b><b>1<\/b><b>) Examples<\/b><\/h3>\n<table>\n<tbody>\n<tr>\n<td><b>UK research context<\/b><\/td>\n<td><b>H<\/b><b>0<\/b><b> (Null)<\/b><\/td>\n<td><b>H<\/b><b>1<\/b><b> (Alternative)<\/b><\/td>\n<\/tr>\n<tr>\n<td><b>NSS satisfaction and study mode<\/b><\/td>\n<td><span style=\"font-weight: 400;\">No difference in satisfaction by study mode.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Satisfaction differs by study mode.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Remote working and UK SME productivity<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Remote working has no significant effect on productivity.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Remote working significantly affects productivity.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Nurse shift length and burnout<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Shift length is not significantly associated with burnout scores.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Shift length is significantly associated with burnout scores.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>University attendance and grades<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Attendance is not significantly related to academic grades.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Attendance is significantly related to academic grades.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Exercise and employee wellbeing<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Exercise frequency has no significant effect on wellbeing.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Exercise frequency significantly affects wellbeing.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Online learning and assessment scores<\/b><\/td>\n<td><span style=\"font-weight: 400;\">No significant difference in scores between online and face-to-face learning.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Scores differ significantly between the two learning modes.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><b>Directional vs Non-Directional Hypotheses<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">A <\/span><b>directional hypothesis<\/b><span style=\"font-weight: 400;\"> is a prediction of a specific direction of variables such as higher, lower, negative, or positive. The directional hypotheses are tested using a one-tailed T-test that determines whether an effect is present in a specific direction. Choosing a direction should be based on previous research, theory, or good empirical reasons.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In contrast, a <\/span><b>non-directional hypothesis<\/b><span style=\"font-weight: 400;\"> refers to a prediction of an existing difference without a specific direction. It is necessary to understand that it does not state that the relationship is positive or negative. It is typically tested with a two-tailed T-test.\u00a0<\/span><\/p>\n<h3><b>Paired Examples<\/b><\/h3>\n<p><b>Example 1: Mindfulness practice and stress level<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Directional (H<\/b><b>1<\/b><b>):<\/b><span style=\"font-weight: 400;\"> Students who practice mindfulness activities daily report lower stress levels than students who do not practice daily.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Non-directional (H<\/b><b>1<\/b><b>):<\/b><span style=\"font-weight: 400;\"> There is a difference in stress level between students who practice daily mindfulness and those who do not.\u00a0<\/span><\/li>\n<\/ul>\n<p><b>Example 2: Medicine and systolic blood pressure<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Directional (H<\/b><b>1<\/b><b>):<\/b><span style=\"font-weight: 400;\"> Patients taking drug A experience a greater reduction in systolic blood pressure than patients receiving a placebo.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Non-directional (H<\/b><b>1<\/b><b>):<\/b><span style=\"font-weight: 400;\"> There is a significant effect on systolic blood pressure between patients taking drug A and patients who receive a placebo.\u00a0<\/span><\/li>\n<\/ul>\n<h2><b>Types of Hypothesis At a Glance<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">There are various types of <\/span><b>hypotheses for a dissertation<\/b><span style=\"font-weight: 400;\"> that can determine the relationship among variables. Therefore, the following table provides you with a quick summary of different types of hypotheses along with examples.\u00a0<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Type of hypothesis<\/b><\/td>\n<td><b>What it means<\/b><\/td>\n<td><b>One-line example<\/b><\/td>\n<\/tr>\n<tr>\n<td><b>Simple<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Examines one independent and one dependent variable.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Study time is positively related to exam scores.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Complex<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Examines two or more variables or relationships.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Study time and attendance are related to students\u2019 exam scores.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Directional<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Predicts the specific direction of a relationship or difference.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Students who study more hours will achieve higher exam scores.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Non-directional<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Predicts a relationship or difference without specifying its direction.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Study time is significantly related to exam scores.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Associative\/Correlational<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Predicts that variables are related without claiming causation.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Exercise frequency is associated with lower stress levels.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Causal<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Predicts that one variable causes a change in another.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Increased exercise reduces perceived stress levels.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Null (H<\/b><b>0<\/b><b>)<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Predicts no statistically significant relationship, difference, or effect.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">There is no significant relationship between study time and exam scores.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Alternative (H<\/b><b>1<\/b><b>)<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Predicts that a statistically significant relationship, difference, or effect exists.<\/span><\/td>\n<td><span style=\"font-weight: 400;\">There is a significant relationship between study time and exam scores.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><b>From Research Question to Hypothesis to Statistical Test<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The following table sheds light on the research question, H<\/span><span style=\"font-weight: 400;\">0<\/span><span style=\"font-weight: 400;\"> and H<\/span><span style=\"font-weight: 400;\">1<\/span><span style=\"font-weight: 400;\">, variable types, and suggested <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2021\/11\/23\/top-statistical-tests-used-in-hypothesis-testing\/\"><span style=\"font-weight: 400;\">statistical tests<\/span><\/a><span style=\"font-weight: 400;\">, with examples from different disciplines.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Discipline<\/b><\/td>\n<td><b>Research Question (RQ)<\/b><\/td>\n<td><b>Null (H<\/b><b>0<\/b><b>\u200b) &amp; Alternative (H<\/b><b>1<\/b><b>\u200b) Hypotheses<\/b><\/td>\n<td><b>Variable Properties<\/b><\/td>\n<td><b>Planned Statistical Test<\/b><\/td>\n<\/tr>\n<tr>\n<td><b>Education<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Do secondary school student retention rates differ across three distinct pastoral support models?<\/span><\/td>\n<td><b>H<\/b><b>0<\/b><b>:<\/b><span style=\"font-weight: 400;\"> There is no significant difference in mean student retention rates across pastoral models A, B, and C.<\/span><\/p>\n<p><b>H<\/b><b>1<\/b><b> (Non-Directional):<\/b><span style=\"font-weight: 400;\"> At least one pastoral support model produces a significantly different mean student retention rate.<\/span><\/td>\n<td><b>IV:<\/b><span style=\"font-weight: 400;\"> Pastoral support model (Categorical: 3 distinct groups)<\/span><\/p>\n<p><b>DV:<\/b><span style=\"font-weight: 400;\"> Retention rate percentage (Continuous: Metric scale)<\/span><\/td>\n<td><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2025\/09\/23\/anova-test\/\"><b>One-Way ANOVA<\/b><\/a><\/td>\n<\/tr>\n<tr>\n<td><b>Marketing<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Is there a relationship between consumer gender and preferred retail payment method?<\/span><\/td>\n<td><b>H<\/b><b>0<\/b><b>:<\/b><span style=\"font-weight: 400;\"> Consumer gender is independent of preferred retail checkout payment method.<\/span><\/p>\n<p><b>H<\/b><b>1<\/b><b> (Non-Directional):<\/b><span style=\"font-weight: 400;\"> Consumer gender is significantly associated with preferred retail checkout payment method.<\/span><\/td>\n<td><b>IV:<\/b><span style=\"font-weight: 400;\"> Gender identity (Categorical nominal)<\/span><\/p>\n<p><b>DV:<\/b><span style=\"font-weight: 400;\"> Payment method (Categorical nominal: Apple Pay, Card, Cash)<\/span><\/td>\n<td><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2025\/09\/22\/chi-square-test-results\/\"><b>Chi-Square Test of Independence<\/b><\/a><\/td>\n<\/tr>\n<tr>\n<td><b>Psychology<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Does self-reported daily workplace mindfulness practice correlate with perceived daily occupational stress?<\/span><\/td>\n<td><b>H<\/b><b>0<\/b><b>:<\/b><span style=\"font-weight: 400;\"> There is no significant linear correlation between mindfulness minutes and occupational stress scores.<\/span><\/p>\n<p><b>H<\/b><b>1<\/b><b> (Directional):<\/b><span style=\"font-weight: 400;\"> Daily mindfulness minutes correlate negatively with perceived occupational stress scores.<\/span><\/td>\n<td><b>Variable 1:<\/b><span style=\"font-weight: 400;\"> Daily mindfulness (Ratio continuous: Minutes)<\/span><\/p>\n<p><b>Variable 2:<\/b><span style=\"font-weight: 400;\"> Perceived stress scale (Continuous: Interval score)<\/span><\/td>\n<td><b>Pearson Correlation (<\/b><b>r<\/b><b>)<\/b> <i><span style=\"font-weight: 400;\">(or Spearman if data is non-normal)<\/span><\/i><\/td>\n<\/tr>\n<tr>\n<td><b>Nursing\/ Health<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Does completing an intensive clinical training simulation predict whether newly registered nurses pass a medication safety assessment?<\/span><\/td>\n<td><b>H<\/b><b>0<\/b><b>:<\/b><span style=\"font-weight: 400;\"> Completing clinical simulation training does not significantly predict assessment outcome.<\/span><\/p>\n<p><b>H<\/b><b>1<\/b><b> (Directional):<\/b><span style=\"font-weight: 400;\"> Completing clinical simulation training significantly increases the odds of passing the medication safety assessment.<\/span><\/td>\n<td><b>Predictor:<\/b><span style=\"font-weight: 400;\"> Simulation course (Categorical: Complete vs Control)<\/span><\/p>\n<p><b>DV:<\/b><span style=\"font-weight: 400;\"> Assessment outcome (Binary categorical: Pass vs Fail)<\/span><\/td>\n<td><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2025\/09\/26\/binary-logistic-regression-in-spss\/\"><b>Binary Logistic Regression<\/b><\/a><\/td>\n<\/tr>\n<tr>\n<td><b>Human Resources<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Do flexible hybrid work policies reduce voluntary staff turnover rates over a 12-month period across financial service firms?<\/span><\/td>\n<td><b>H<\/b><b>0<\/b><b>:<\/b><span style=\"font-weight: 400;\"> The presence of a flexible hybrid working policy does not significantly affect voluntary staff turnover rates.<\/span><\/p>\n<p><b>H<\/b><b>1<\/b><b> (Directional):<\/b><span style=\"font-weight: 400;\"> Firms offering flexible hybrid policies exhibit significantly lower annual voluntary turnover rates than non-hybrid firms.<\/span><\/td>\n<td><b>IV:<\/b><span style=\"font-weight: 400;\"> Hybrid policy (Binary categorical: Yes vs No)<\/span><\/p>\n<p><b>DV:<\/b><span style=\"font-weight: 400;\"> Annual turnover rate (Continuous ratio: Percentage)<\/span><\/td>\n<td><b>Independent Samples t-test<\/b> <i><span style=\"font-weight: 400;\">(or Mann-Whitney U)<\/span><\/i><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>What Makes a Good Hypothesis? A 6-Point Checklist<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">For writing a good hypothesis, the following 6-point checklist can be used;<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Testable:<\/b><span style=\"font-weight: 400;\"> The data should be measurable, and a suitable method can be used to analyse the prediction.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Falsifiable:<\/b><span style=\"font-weight: 400;\"> There must be a possible outcome that could show the hypothesis is not supported.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Specific:<\/b><span style=\"font-weight: 400;\"> You need to be specific about the population, variables, and expected relationship, not using vague terms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Grounded in theory:<\/b><span style=\"font-weight: 400;\"> You need to make a prediction based on theory, past studies, or known facts.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Uses measurable variables:<\/b><span style=\"font-weight: 400;\"> You need to express variables in a measurable manner.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Feasible:<\/b><span style=\"font-weight: 400;\"> The hypothesis should be realistic in terms of the time, sample, resources, and dissertation design that you have available for investigating.<\/span><\/li>\n<\/ol>\n<h3><b>Weak vs Strong Hypothesis Examples<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Here is how to revise vague, untestable initial ideas into robust academic hypotheses:<\/span><\/p>\n<h4><b>Revision Set 1 (Business \/ Organisational Behaviour)<\/b><\/h4>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Weak (Untestable &amp; Vague): <\/b><span style=\"font-weight: 400;\">\"Modern enterprise agility makes corporate employees feel much better at work.\"<\/span><\/li>\n<\/ul>\n<blockquote><p><i><span style=\"font-weight: 400;\">Why it fails: <\/span><\/i><span style=\"font-weight: 400;\">\"Much better\" is vague, \"enterprise agility\" lacks an operational definition, and the statement cannot be tested statistically.<\/span><\/p><\/blockquote>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Strong (Measurable &amp; Operational): <\/b><span style=\"font-weight: 400;\">\"Employees working in UK financial service firms implementing Scrum agile frameworks report significantly higher scores on the Utrecht Work Engagement Scale (UWES-9) than employees working under traditional Waterfall project management structures.\"<\/span><\/li>\n<\/ul>\n<h4><b>Revision Set 2 (Educational Technology)<\/b><\/h4>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Weak (Vague Direction &amp; Unclear Variables):<\/b><span style=\"font-weight: 400;\"> \"Artificial intelligence influences university education in important ways.\"<\/span><\/li>\n<\/ul>\n<blockquote><p><i><span style=\"font-weight: 400;\">Why it fails:<\/span><\/i><span style=\"font-weight: 400;\"> \"Influences\" does not specify a measurable outcome or direction, and \"important ways\" cannot be quantified.<\/span><\/p><\/blockquote>\n<p><b>Strong (Measurable &amp; Operational): <\/b><span style=\"font-weight: 400;\">\"Undergraduate students who utilise generative AI writing tools for formative essay drafting achieve significantly higher mean final grades than students who draft essays without AI assistance.\"<\/span><\/p>\n<h4><b>Revision Set 3 (Healthcare \/ Health Psychology)<\/b><\/h4>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Weak (Philosophical &amp; Unfalsifiable): <\/b><span style=\"font-weight: 400;\">\"A positive mental attitude will cure somatic stress symptoms faster.\"<\/span><\/li>\n<\/ul>\n<blockquote><p><i><span style=\"font-weight: 400;\">Why it fails: <\/span><\/i><span style=\"font-weight: 400;\">\"Positive mental attitude\" is undefined, \"cure\" overstates empirical effects, and somatic symptoms require a validated clinical metric.<\/span><\/p><\/blockquote>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Strong (Measurable &amp; Operational): <\/b><span style=\"font-weight: 400;\">\"Patients participating in an 8-week structured cognitive reappraisal programme will show a significantly greater reduction in somatic symptom inventory (PHQ-15) scores than patients assigned to a waitlist control condition.\"<\/span><\/li>\n<\/ul>\n<h2><b>How to Present and Report Hypotheses in Your Dissertation<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Research hypotheses should be presented clearly and consistently so that readers can understand how variables are interlinked. In UK university dissertations, students often wonder if hypotheses belong in the Introduction.\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">For most business, management, and social science subjects, formal hypotheses (H<\/span><span style=\"font-weight: 400;\">1<\/span><span style=\"font-weight: 400;\">, H<\/span><span style=\"font-weight: 400;\">2<\/span><span style=\"font-weight: 400;\">) actually sit at the very end of <\/span><b>Chapter 2 (Literature Review)<\/b><span style=\"font-weight: 400;\">. For instance, business students at Loughborough University or Portsmouth typically derive their hypotheses straight from theoretical models at the end of their literature review.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In other courses, such as management and social research at the University of Sheffield, handbooks frequently place them in<\/span><b> Chapter 3 (<\/b><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2023\/08\/10\/methodology-for-dissertation\/\"><b>Methodology<\/b><\/a><b>)<\/b><span style=\"font-weight: 400;\"> alongside variable measurements and statistical tests.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Experimental science or lab-report formats (like experimental psychology at UCL) sometimes place them right at the end of<\/span><b> Chapter 1 (Introduction)<\/b><span style=\"font-weight: 400;\">.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">You should always check your department\u2019s specific guidelines to confirm your project's required structure.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0By identifying variables, researchers can understand independent and dependent variables. Statistical tests should be used according to the type of hypothesis you used in the dissertation<\/span><\/p>\n<h3><b>How Many Hypotheses Should a Dissertation Have?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The number of hypotheses used in the dissertation depends on the university guidelines. A standard 10,000-to-15,000-word <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2023\/05\/05\/how-our-masters-dissertation-writers-prepare-a-distinction-level-dissertation\/\"><span style=\"font-weight: 400;\">UK Master\u2019s dissertation<\/span><\/a><span style=\"font-weight: 400;\"> typically includes <\/span><b>2 to 5 primary hypotheses<\/b><span style=\"font-weight: 400;\">. Avoid including 10 to 15 different hypotheses; testing too many relationships dilutes your focus, complicates your statistical write-up, and inflates Type I error rates (finding false positives) unless you apply adjustments like the Bonferroni correction.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">On the other hand, a standard <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2024\/05\/10\/phd-thesis-structure\/\"><span style=\"font-weight: 400;\">UK PhD thesis<\/span><\/a><span style=\"font-weight: 400;\"> (60,000 to 80,000 words) typically investigates <\/span><b>6 to 12 hypotheses<\/b><span style=\"font-weight: 400;\"> in total. Rather than presenting one huge, confusing list, doctoral students break them into smaller, clear groups. For example, in PhD dissertations at the <\/span><b>University of Sheffield<\/b><span style=\"font-weight: 400;\"> or <\/span><b>UCL<\/b><span style=\"font-weight: 400;\">, students often split their research across two or three separate study chapters, testing just 2 to 4 focused hypotheses in each chapter.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" data-src=\"https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/one-tailed-vs-two-tailed-tests-in-spss-6acd017c9700f.webp\" class=\"alignnone size-full wp-image-17464 lazyload\" alt=\"How Many Hypotheses Should a Dissertation Have?\" width=\"100%\"><noscript><img decoding=\"async\" class=\"alignnone size-full wp-image-17464\" src=\"https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/one-tailed-vs-two-tailed-tests-in-spss-6acd017c9700f.webp\" alt=\"How Many Hypotheses Should a Dissertation Have?\" width=\"100%\" srcset=\"https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/one-tailed-vs-two-tailed-tests-in-spss-6acd017c9700f.webp 1024w, https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/one-tailed-vs-two-tailed-tests-in-spss-6acd017c9700f-200x300.webp 200w, https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/one-tailed-vs-two-tailed-tests-in-spss-6acd017c9700f-683x1024.webp 683w, https:\/\/www.theacademicpapers.co.uk\/blog\/wp-content\/uploads\/2026\/10\/one-tailed-vs-two-tailed-tests-in-spss-6acd017c9700f-768x1152.webp 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/noscript><\/p>\n<h3><b>Wording Results: Supported, Not Supported, Rejected<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">When reporting statistical findings in Chapter 4 (Results) and discussing them in Chapter 5 (Discussion), use precise, conventional academic phrasing. <\/span><span style=\"font-weight: 400;\">For example,\u00a0<\/span><\/p>\n<blockquote><p><i><span style=\"font-weight: 400;\">Hypothesis 1 was supported by the empirical data.<\/span><\/i><\/p>\n<p><i><span style=\"font-weight: 400;\">The null hypothesis was rejected at the <\/span><\/i><span style=\"font-weight: 400;\">\ud835\udefc<\/span><i><span style=\"font-weight: 400;\">=0.05 significance level.\u00a0<\/span><\/i><\/p>\n<p><i><span style=\"font-weight: 400;\">The analysis failed to reject the null hypothesis; therefore, Hypothesis 2 was not supported.<\/span><\/i><\/p><\/blockquote>\n<h2><b>Common Hypothesis Mistakes<\/b><\/h2>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You should state that results support or do not support a hypothesis rather than using the word <\/span><i><span style=\"font-weight: 400;\">\u201cprove\u201d<\/span><\/i><span style=\"font-weight: 400;\">.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You should match the statistical test according to your hypotheses.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Only include hypotheses that are directly related to your research <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2020\/05\/18\/how-to-write-aims-and-objectives-in-dissertation\/\"><span style=\"font-weight: 400;\">aims and objectives<\/span><\/a><span style=\"font-weight: 400;\"> or questions.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You need to determine only relevant and specific variables that can be measured and defined clearly.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You should avoid predicting a positive or negative direction unless theory and past research support this prediction.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In exploratory qualitative studies, research questions or objectives are typically used instead of statistical hypotheses.<\/span><\/li>\n<\/ol>\n<h2><b>Conclusion and Next Steps<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">It is concluded that this guide provides you with complete steps on <\/span><b>how to write a research hypothesis<\/b><span style=\"font-weight: 400;\">. 6 steps were discussed that you must follow when writing a research hypothesis. Begin with a focused question, then read relevant literature or theory, identify measured variables, predict the expected relationship and state hypotheses H<\/span><span style=\"font-weight: 400;\">0<\/span><span style=\"font-weight: 400;\"> and H<\/span><span style=\"font-weight: 400;\">1<\/span><span style=\"font-weight: 400;\">. You need to clarify that your hypothesis is aligned with your research design, data, and statistical test. You do not use general variables, do not allow too many hypotheses, and do not allow a hypothesis to be \u201cproved\u201d using statistics.\u00a0 After formulating your hypotheses, you need to choose suitable <\/span><a href=\"https:\/\/www.theacademicpapers.co.uk\/blog\/2023\/02\/01\/learn-data-analysis-from-scratch\/\"><b>data-analysis techniques<\/b><\/a><span style=\"font-weight: 400;\"> and statistical tests. If you are developing your early methodology and need expert guidance on your research design, explore our<\/span> <a href=\"https:\/\/www.theacademicpapers.co.uk\/dissertation-methodology-help\/\"><span style=\"font-weight: 400;\">expert <\/span><span style=\"font-weight: 400;\">dissertation methodology help service<\/span><\/a><span style=\"font-weight: 400;\"> for detailed feedback on structuring questions, variables, and hypotheses.\u00a0<\/span><\/p>\n<h2><b>FAQs<\/b><\/h2>\n<h3><b>How do you write a hypothesis for a dissertation?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Have a well-defined research question, read about the topic, identify variables, make predictions about the variables, write H0 and H1, and make sure that the hypothesis is testable.<\/span><\/p>\n<h3><b>What is an example of a null and alternative hypothesis?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">H0: The study time and exam score are not significantly correlated. H1: Students who study more take higher scores on the exam.<\/span><\/p>\n<h3><b>What is the difference between a research question and a hypothesis?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A research question is a general question that you want to explore, while a hypothesis is a detailed, testable prediction of how you think the variables will relate to one another.<\/span><\/p>\n<h3><b>Can a qualitative study have a hypothesis?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Research questions or research objectives are more commonly used in most qualitative studies, as they examine experience, meaning, or process rather than statistical predictions.<\/span><\/p>\n<h3><b>Can a hypothesis be proven?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">It does not prove or disprove; however, researchers collect data to either support or not support a hypothesis to either reject or not reject H0.<\/span><\/p>\n<h3><b>How many hypotheses should I have?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">There is no set number. Typically, a dissertation contains only a handful of hypotheses, each of which is directly related to the research questions and objectives of the study.<\/span><\/p>\n<h3><b>What happens if my hypothesis is not supported?\u00a0<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">It can question assumptions, propose other explanations, highlight limitations, and suggest further research directions.<\/span><b><\/b><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key Takeaways A hypothesis is a testable prediction about differences, influences, and relationships among variables. The difference between a research question and a hypothesis is that research questions \u201cask,\u201d while hypotheses \u201cpredict\u201d. A strong hypothesis relies on being specific, measurable, testable, falsifiable, theory-based, and feasible.\u00a0 Introduction A research hypothesis is a specific, testable prediction about [&hellip;]<\/p>\n","protected":false},"author":30,"featured_media":17462,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-17461","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v28.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How to Write a Hypothesis: Null &amp; Alternative Examples<\/title>\n<meta name=\"description\" content=\"How to write a research hypothesis step by step, with null and alternative hypothesis examples, directional vs non-directional forms.\" \/>\n<meta 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