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Step-by-step guide to reporting descriptive statistics in APA 7

Updated: Jul 18, 2023

When presenting the results of your research, it is essential to report descriptive statistics accurately and according to the guidelines of the American Psychological Association (APA) 7th edition style. Descriptive statistics provide a summary of your data, allowing readers to grasp key characteristics and patterns. In this blog post, we will provide you with a step-by-step guide to reporting descriptive statistics in APA 7, ensuring clarity and consistency in your research reporting.

Step 1: Select the Appropriate Statistics:

Identify the descriptive statistics that best represent your data. Common descriptive statistics include measures of central tendency (e.g., mean, median, mode) and measures of variability (e.g., standard deviation, range, interquartile range). Determine which statistics are most relevant to your research question and data type.

Step 2: Present Central Tendency Measures:

Start by reporting measures of central tendency. If your data are normally distributed and do not have extreme outliers, report the mean as the measure of central tendency. Include the mean value with the appropriate decimal places, rounded as necessary.

Example: The mean age of the participants was 35.28 years.

If your data are skewed or have extreme outliers, consider reporting the median instead of the mean. The median represents the middle value in a dataset and is less affected by extreme values.

Example: The median income was $45,000.

Step 3: Include Measures of Variability:

Next, report measures of variability to provide information about the spread or dispersion of your data. The most common measure of variability is the standard deviation, which indicates how much the data points deviate from the mean. Include the standard deviation with the appropriate decimal places, rounded as necessary.

Example: The standard deviation for test scores was 10.54.

Other measures of variability, such as the range (the difference between the highest and lowest values) or the interquartile range (the range between the 25th and 75th percentiles), can be used in specific situations. Choose the measure that best captures the variability in your data.

Step 4: Report Frequencies and Percentages:

If your data involve categorical variables, report frequencies and percentages to describe the distribution of each category. Present the number of participants or cases in each category and the corresponding percentage.

Example: Among the respondents, 40% were male and 60% were female.

Step 5: Provide Additional Relevant Statistics:

Depending on the nature of your research and variables, you may need to report other relevant descriptive statistics. For example, if you have a skewed distribution, you might report the mode (the most frequently occurring value) as an additional measure of central tendency.

Step 6: Properly Format and Label Tables and Figures:

Present your descriptive statistics in tables or figures, following APA 7 guidelines for formatting. Each table or figure should be numbered and include a descriptive title. Label the columns or axes clearly to indicate the variables and their respective statistics. Include any necessary notes or explanations to aid interpretation.

Step 7: Use Appropriate Language to Describe Findings:

Accompany your reported statistics with clear and concise language to help readers understand their meaning. Avoid interpreting the findings in detail within the results section. Reserve interpretation and discussion for the appropriate sections of your research paper.

Reporting descriptive statistics in APA 7 requires careful attention to detail and adherence to specific guidelines. By following this step-by-step guide, you can accurately and effectively report descriptive statistics, providing a clear summary of your data. Remember to appropriately format tables and figures, use precise language, and maintain consistency throughout your research reporting. Reporting descriptive statistics in a standardized manner enhances the clarity and transparency of your research findings.


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