What to Do When the p-value Exceeds 0.05

In statistical research, the p-value (Probability Value) indicates the probability that an observed result could occur by chance. Simply put, it tells us whether our result is statistically significant.

What to do when P-Value exceeds 0.05

Typically, researchers use the threshold of p < .05, which means there is less than a 5% probability that the result occurred randomly. Therefore, such a finding is considered “statistically significant.”

However, when the p-value exceeds 0.05, many researchers panic—assuming their results are “not significant” or that their “hypothesis has failed.”

In reality, a non-significant p-value does not necessarily mean your research has failed. Let’s explore what you can do when your p-value does not pass the .05 threshold.

1.  Check Data Accuracy and Sample Size

One of the most common causes of a non-significant result is a sample size that is too small, making it difficult for statistical tests to detect a difference even when one exists.

The solution: Re-examine your sample size and, if necessary, collect additional data to increase the precision of your results.

2. Check the Appropriateness of the Statistical Test

Sometimes, the chosen statistical test is not suitable for the nature of your data.

For example:

• Data are not normally distributed, but you use a t-test.

• Groups are unequal in size, yet you apply a standard ANOVA.

In such cases, you should switch to non-parametric tests such as the Mann-Whitney U Test or Kruskal-Wallis H Test, which better align with the characteristics of your data.

3. Revisit the Conceptual Framework and Hypotheses

The issue may not lie in the data itself but in how the hypotheses were formulated.

Revisit your conceptual framework or review previous studies to understand the theoretical relationships between variables more clearly.

4. Increase the Precision of Variable Measurement

Sometimes the research instruments or questionnaires are not detailed enough to capture subtle differences. For instance, using a 3-point scale may be too limited to detect small variations. Consider using a 5-point or 7-point Likert scale or revising your questions to measure deeper, more nuanced aspects of the concept.

5. Revise the Way You Report Your Findings

Even when your p-value is not significant, your research results still have value. You can report:

Descriptive findings and theoretical discussions that provide insight, such as:

• “The difference was not statistically significant (p > .05), but the trend suggests that…”

• “Although the result was not statistically significant, it supports the hypothesis at a trend level.”

Reviewers often accept such explanations when they are logical and well-reasoned.

6. Accept the Non-significant Result and Explain Why

In research, it is perfectly normal to find that results do not support the initial hypothesis. This happens frequently because respondents differ in demographic backgrounds, locations, and cultural contexts, which can influence their opinions or behaviors. Instead of viewing it as a failure, consider it a valuable insight that contributes to the broader understanding of the research topic.

Why You Should Choose Data Investigator

Solving a “p-value problem” of P-Value exceeds 0.05 requires both statistical understanding and hands-on experience. Data Investigator has a team of statistical and research experts with over 15 years of experience who can guide you through every stage, including:

• Reviewing hypotheses and selecting the correct statistical tests

• Interpreting and explaining statistical findings in detail

• Issuing a Certificate of Statistical Analysis for official submission

Whether you are a graduate student, medical researcher, or government officer, Data Investigator ensures your data analysis is accurate, reliable, and professionally verified by experts.

When your P-Value exceeds 0.05, don’t assume your research has failed. Instead, revisit each step—from sample size and data analysis to hypothesis design. If you need professional guidance or expert support in statistical analysis, Data Investigator is your trusted partner.

For more information, please contact: Email: info@datainvestigatorth.com LINE: @datainvestigator