Presenting Your Findings: The APA 7th Results Chapter
The results chapter is where your hard work in data collection and analysis shines. It's the core of your research paper, detailing precisely what you discovered. For many, especially those adhering to APA 7th Edition guidelines, this section can feel daunting. The key is clarity, precision, and objective reporting.
Purpose of the Results Chapter
Think of your results chapter as a factual report. Its primary goal is to present your findings without interpretation or discussion. That comes later, in the discussion section. You're simply telling the reader what the data shows. This includes statistical outcomes, descriptive information, and any other relevant observations.
Key Components of an APA 7th Results Chapter
While the specifics can vary based on your field and the type of research, most APA 7th Edition results chapters include:
- Introduction/Overview: A brief re-statement of your research questions or hypotheses. This sets the stage for what you'll be reporting.
- Descriptive Statistics: Summaries of your data, like means, standard deviations, frequencies, and ranges. These give the reader a general understanding of your sample and variables.
- Inferential Statistics: The results of any statistical tests used to examine relationships or differences between groups (e.g., t-tests, ANOVAs, correlations, regressions).
- Qualitative Findings (if applicable): Themes, categories, or patterns identified from qualitative data.
- Visual Aids: Tables and figures that present complex data in an accessible format.
Writing Style and Tone
- Objective and Factual: Stick to reporting the data. Avoid emotional language or personal opinions.
- Concise: Get straight to the point. Every sentence should contribute to presenting the findings.
- Past Tense: Generally, report what you found using the past tense.
- Third Person: Use "the researchers," "the participants," or refer to specific variables, rather than "I" or "we."
Presenting Quantitative Data
Quantitative data requires statistical reporting. Here’s how to approach it:
Descriptive Statistics
Start with an overview of your sample. For example:
> "The sample consisted of 150 undergraduate students (M = 20.5 years, SD = 1.8) from a large public university in the Midwest. Of the participants, 60% identified as female and 40% as male."
When reporting means and standard deviations for your key variables, present them clearly. A common approach is to state the variable, its mean, and its standard deviation.
Inferential Statistics
When reporting inferential statistics, follow a consistent format for each test. APA 7th Edition provides specific guidelines for reporting various tests.
Example: Independent Samples t-test
> "An independent samples t-test was conducted to compare the anxiety levels of students who participated in mindfulness meditation (M = 35.2, SD = 8.5) and those who did not (M = 42.1, SD = 9.1). The results indicated a statistically significant difference, t(148) = -4.56, p < .001, with the meditation group reporting lower anxiety levels."
Key elements to include:
- The test used: (e.g., t-test, ANOVA, r)
- Degrees of freedom: (e.g., (148))
- The test statistic: (e.g., t = -4.56)
- The p-value: (e.g., p < .001 or p = .023)
- The direction of the effect: (e.g., lower anxiety levels, higher scores)
Important note on p-values: Report exact p-values whenever possible (e.g., p = .034). If a p-value is less than .001, report it as p < .001.
Example: Correlation
> "A Pearson correlation coefficient was calculated to examine the relationship between study hours and exam scores. A significant positive correlation was found, r(148) = .45, p < .001, indicating that students who studied more hours tended to achieve higher exam scores."
Reporting Effect Sizes
APA 7th Edition strongly encourages reporting effect sizes. These tell you the magnitude of the effect, independent of sample size. Common effect sizes include Cohen's d for t-tests, eta-squared (η²) or partial eta-squared (η²ₚ) for ANOVAs, and r² for regression.
Example with effect size:
> "...The results indicated a statistically significant difference, t(148) = -4.56, p < .001, with the meditation group reporting lower anxiety levels. The effect size, Cohen's d = 0.67, indicated a medium effect."
Presenting Qualitative Data
If your research involves qualitative methods, your results chapter will focus on themes and patterns.
- Identify Themes: Clearly name and define the main themes that emerged from your data.
- Provide Illustrative Quotes: Support each theme with direct quotes from your participants. These quotes bring your findings to life and provide evidence.
- Describe Patterns: Explain how themes relate to each other or how they answer your research questions.
Example:
> Theme 1: Feeling Overwhelmed by Coursework > > Many participants described a persistent feeling of being overwhelmed by the sheer volume of academic tasks. This theme was characterized by long hours of study and difficulty prioritizing. For instance, one student stated, "It felt like I was drowning in assignments. There was always something due, and I couldn't keep up." Another participant echoed this sentiment: "I was constantly stressed, thinking I was forgetting something important or not doing enough."
Using Tables and Figures
Tables and figures are powerful tools for presenting data concisely and visually.
- Tables: Best for presenting precise numerical values, summarizing statistics, or showing detailed comparisons.
- Figures: Ideal for illustrating trends, patterns, relationships, or comparisons in a graphical format (e.g., bar charts, line graphs, scatterplots).
Best Practices for Tables and Figures:
- Numbering: Number all tables and figures consecutively (Table 1, Table 2; Figure 1, Figure 2).
- Titles: Give each table and figure a clear, descriptive title. For tables, the title is usually bolded and placed above the table. For figures, the title is typically placed below the figure.
- Clarity: Ensure they are easy to read and understand. Avoid clutter.
- Referencing in Text: Mention every table and figure in the text. For example, "As shown in Table 1..." or "Figure 2 illustrates the distribution of scores..."
- APA 7th Formatting: Pay close attention to APA 7th Edition formatting for tables (e.g., horizontal lines, no vertical lines) and figures (e.g., font types, line thickness).
Example of a simple table description:
> Table 1 > > Demographic Characteristics of Participants > > | Characteristic | N | % | > |---|---|---| > | Gender | | | > | Female | 90 | 60 | > | Male | 60 | 40 | > | Age (Years) | M = 20.5 | SD = 1.8 |
When to Use Tables vs. Figures:
- Table: If you need to present exact values for multiple variables or group comparisons.
- Figure: If you want to show a trend over time, the shape of a distribution, or a clear visual comparison between groups.
Common Pitfalls to Avoid
- Interpreting Results: Resist the urge to explain why you got your results in this section. Save that for the discussion.
- Including Raw Data: Never present raw data (e.g., a list of every participant's score). Summarize it.
- Overlapping with Methods: Don't describe your methods in the results chapter. Assume the reader has already read the methods section.
- Vague Language: Be specific. Instead of "there was a difference," state what the difference was and its statistical significance.
- Ignoring APA Guidelines: Inconsistent formatting can distract readers and detract from the credibility of your work. For expert assistance in ensuring your results chapter adheres strictly to APA 7th Edition standards, consider EssayGazebo.com's professional editing services.
Moving Forward
The results chapter is a critical bridge between your research questions and their implications. By focusing on objective reporting, clear presentation, and adherence to APA 7th Edition guidelines, you can effectively communicate your discoveries and lay a strong foundation for the rest of your paper.