PhD Hypothesis Writing
Like a brilliant business idea can become the foundation of a new global corporation, a well-designed hypothesis forms the backbone of any solid PhD thesis. In this article, we will discuss what PhD hypothesis writing is, where it is used in a PhD, and why a student, such as yourself, might need help writing one.
Understanding the Role of Hypotheses in PhD Research
Simply put, a hypothesis is an assumption based on your prior research that predicts a relationship between your variables. On a deeper level, it transforms your broad research question into a testable claim that can be confirmed or discarded during data analysis. This makes PhD hypothesis writing a challenging activity for many students since they are required to:
- Narrow down the research question.
- Define the variables involved including null and alternative.
- Formulate the hypothesis in a way that ensures that changes in the dependent variable can be clearly identified and used to confirm or discard it.
Why are Hypothesis Writing Services Important for Your PhD Success?
Well-formulated hypotheses are essential for addressing your research questions. However, they are also difficult to craft without prior experience. While many supervisors can guide you through this tedious process, others may expect you to develop this rare skill on your own or simply be too busy to provide sufficient help. This is where we come in.
Our PhD hypothesis writing experts have supervised hundreds of PhD projects to date, starting from proposal topics development and ending with a successful thesis viva. This has granted them unique insight into the way efficient hypotheses are developed. According to our experience, this element lays the crucial foundation for any successful thesis.
What Constitutes a Good PhD Hypothesis?
Most good research hypotheses usually share five main qualities.
1. Testability
A good PhD hypothesis must be formulated in a way that it can be confirmed or discarded using specific data analysis tools.
Examples:
Weak: AI tools can transform education.
Strong: Secondary school students using AI learning platforms can achieve 20+% improvements in test scores in comparison with the control group.
2. Specificity
High-quality PhD hypotheses must clearly define the variables and relationships between them.
Examples:
Weak: Social media use is bad for mental health.
Strong: Increased daily use of Instagram predicts higher anxiety levels in female users aged 18-25 in comparison with the control group.
3. Falsifiability
A strong hypothesis must be formulated in a way that it can be proven wrong if sufficient contradicting evidence is collected.
Examples:
Weak: Employee happiness improves staff productivity.
Strong: Manufacturing teams with employee net promoter scores exceeding 50. demonstrate 15+% greater rates of project completion and 25% lower defect rates in comparison with teams scoring below 30.
4. Clarity
Good PhD hypotheses must be formulated in a way that makes them easy to comprehend, which helps avoid ambiguity.
Examples:
Weak: AI chatbots can make a positive contribution to some areas of customer service.
Strong: AI-powered chatbots can reduce average first-response times in processing customer requests by 40% in comparison with email-only-based customer support systems.
5. Novelty
Strong hypotheses are usually aligned with the identified gaps in past literature (identified in your thesis literature review), relevant real-world problems, and the ideas that have not been extensively explored previously.
Examples:
Weak: Social media use can correlate with depression.
Strong: New Instagram algorithm increases the prevalence of body dysmorphia (EDI-3 scores) among Gen Z females in comparison with pre-2024 studies.
What are the Main Types of Hypotheses?
There are several types of PhD hypothesis writing that you can take advantage of. Including:
Null Hypothesis (H0): This hypothesis suggests that the variables are not linked with any significant association or effect.
Alternative Hypothesis (H1): This hypothesis assumes that a significant difference can be registered between the selected hypotheses and can be confirmed by statistical analysis.
Non-Directional Hypothesis: Non-directional hypotheses assume a relationship between the variables but do not predict its direction.
Directional Hypothesis: On the contrary, directional hypotheses specify the direction of relationships between the variables as well as their nature (positive or negative).
Associative Hypothesis: Associative hypotheses assume that changes in one variable are associated with changes in another variable (e.g., neighbourhoods with lower school exam scores have higher youth crime rates).
Causal Hypothesis: Causal hypotheses suggest that changes in one variable are caused by changes in another one (e.g., declining quality of education contributes to juvenile delinquency).
How can Original PhD help?
We are happy to offer PhD hypothesis writing help, such as:
Developing thesis hypotheses for you from scratch
This is the best possible option, allowing us to also revise/improve your thesis topic/questions/objectives if they can be adjusted at this phase.
Improving your existing hypotheses
In this scenario, we improve the testability, specificity, falsifiability, clarity, and novelty of your existing hypotheses while also suggesting the most suitable methodologies to confirm/discard them in your analysis.
As opposed to many of our competitors, we do not seek immediate gains by offering random hypotheses constructed ‘on the fly’ without thoroughly studying your thesis draft or proposal. We are interested in long-term cooperation with our customers, which is why we will ask you to provide as much information about your project as possible to improve. This allows our PhD hypothesis writers to give substantiated recommendations and improve the quality of your PhD thesis on a strategic level, rather than offer some instant ‘band-aid’ solutions.
Contact us today for help with your PhD dissertation writing.