📚 SQA Science Report Writing Framework with Model Answers | SQA 科学论文写作框架与范文
Writing a clear and well-structured scientific report is an essential skill for Year 10 SQA Science. This article breaks down the step-by-step framework required to produce high-quality answers in investigations, assignments, and exam-style extended responses. It covers how to formulate aims, write hypotheses, present methods, record results, analyse data, draw conclusions, and evaluate experimental work. Model paragraphs and annotated examples are provided throughout to demonstrate the expected standard.
撰写一份清晰、结构良好的科学报告是 Year 10 SQA 科学的一项基本技能。本文详细拆解了在调查、作业和考试式扩展回答中产出高质量答案所需的逐步框架。内容涵盖如何制定目标、撰写假设、呈现方法、记录结果、分析数据、得出结论以及评价实验工作。全文提供了示范段落和带注释的范例，以展示预期的标准。
1. Understanding the SQA Marking Criteria | 理解 SQA 评分标准
The SQA marks science extended writing based on three components: Aim and Hypothesis (or Prediction), Procedure and Results, and Analysis and Evaluation. Each section must be logically connected and clearly expressed. Marks are awarded for using appropriate scientific terminology, correct units, and valid conclusions that refer back to original data. Common mistakes include missing variables, vague language, and unsupported claims.
SQA 科学扩展写作的评分基于三个组成部分：目标与假设（或预测）、步骤与结果、分析与评价。每个部分必须逻辑连贯且表达清晰。评分点在于使用恰当的科学术语、正确的单位，以及引用原始数据得出有效结论。常见错误包括遗漏变量、语言模糊和缺乏支撑的主张。
2. How to Write an Aim and a Hypothesis | 如何撰写目标与假设
An aim clearly states what the experiment is trying to find out, beginning with 'To investigate…' or 'To determine…'. A hypothesis is a scientific prediction that explains why a certain outcome is expected, and it must be testable. For example: 'It is hypothesised that increasing the concentration of hydrochloric acid will increase the rate of reaction with magnesium, because there are more reactant particles per unit volume, leading to more frequent successful collisions.' The hypothesis links the independent variable to the dependent variable with a scientific reason.
目标要清晰地说明实验试图发现什么，以“探究……”或“确定……”开头。假设是一个科学的预测，解释为什么预期会出现某种结果，并且必须是可检验的。例如：“假设增加盐酸的浓度会提高与镁的反应速率，因为单位体积内的反应物粒子更多，导致成功碰撞的频率更高。”假设将自变量与因变量通过科学理由联系起来。
3. Identifying and Controlling Variables | 识别与控制变量
The independent variable is the one you change; the dependent variable is the one you measure; and control variables are those kept the same to ensure a fair test. In an investigation on the effect of temperature on enzyme activity, temperature is the independent variable, the rate of reaction (measured by product formed per minute) is the dependent variable, and pH, enzyme concentration, and substrate concentration are control variables. A table listing control variables and how they are managed strengthens the method section.
自变量是你改变的变量；因变量是你测量的变量；控制变量是为了保证公平测试而保持不变的变量。在探究温度对酶活性影响的实验中，温度是自变量，反应速率（通过每分钟生成的产物测量）是因变量，pH、酶浓度和底物浓度是控制变量。用表格列出控制变量及其控制方法可以增强方法部分的可靠性。
4. Structuring the Method Section | 方法部分的结构化写作
The method should be written in the past tense, in a logical step-by-step sequence, and include precise quantities and apparatus. For instance: 'A measuring cylinder was used to transfer 20 cm³ of 0.5 mol/l hydrochloric acid into a conical flask. 0.5 g of magnesium ribbon was added, and the time taken for the magnesium to completely dissolve was recorded using a stopwatch.' Avoid personal pronouns; use passive voice. Mention any repeats to increase reliability and how hazards were minimised.
方法部分要用过去时态来写，按照逻辑的逐步顺序，并包括精确的数量和仪器。例如：“用量筒量取 20 cm³ 0.5 mol/l 的盐酸倒入锥形瓶中。加入 0.5 克镁带，用秒表记录镁完全溶解所需的时间。”避免使用人称代词；使用被动语态。要提及任何重复以提高可靠性，以及如何将危害降至最低。
5. Recording and Presenting Results | 记录与呈现结果
Results should be presented in clear tables with headings that include units, e.g., 'Time (s)' and 'Volume of gas collected (cm³)'. Calculated averages must be included where repeats are performed. Graphs are often required: the independent variable goes on the x‑axis and the dependent variable on the y‑axis. Use a line graph for continuous data; a bar chart for discrete categories. Always label axes and include a descriptive title. Anomalous results should be identified and, if excluded from the average, clearly stated.
结果应以清晰的表格呈现，表头包含单位，如“时间 (s)”和“收集到的气体体积 (cm³)”。如有重复实验，必须包含计算出的平均值。通常需要绘制图表：自变量放在 x 轴，因变量放在 y 轴。连续数据使用折线图；离散类别使用条形图。务必给坐标轴加标签并加上描述性的标题。异常结果应被识别，如果被排除在平均值外，需明确说明。
6. Describing Patterns and Trends | 描述规律与趋势
When analysing a graph, use comparative language like 'as the independent variable increases, the dependent variable increases/decreases'. Quote data points to support statements, e.g., 'The volume of gas produced increased from 12 cm³ at 0.2 mol/l to 58 cm³ at 1.0 mol/l.' Where a relationship is proportional, state so. If a plateau is reached, explain possible reasons such as limiting factors. Avoid over‑interpretation without data evidence.
在分析图表时，使用比较性的语言，如“随着自变量增加，因变量增加/减少”。引用数据点来支撑陈述，例如：“产生的气体体积从 0.2 mol/l 时的 12 cm³ 增加到 1.0 mol/l 时的 58 cm³。”如果成正比关系，要说明。如果达到平台期，要解释可能的原因，如限制因素。避免在没有数据证据的情况下过度解读。
7. Writing a Valid Conclusion | 撰写有效的结论
The conclusion must directly answer the aim, state whether the hypothesis is supported or refuted, and summarise the relationship between variables using data. Example: 'The results support the hypothesis that a higher acid concentration increases the rate of reaction. This is shown by the average reaction time decreasing from 45 s at 0.2 mol/l to 12 s at 1.0 mol/l.' Do not introduce new information. If results contradict the hypothesis, acknowledge this honestly and suggest scientific reasons.
结论必须直接回答目标，说明假设是被支持还是被否定，并利用数据总结变量之间的关系。示例：“结果支持了假设，即较高的酸浓度会增加反应速率。这可以从平均反应时间从 0.2 mol/l 时的 45 秒减少到 1.0 mol/l 时的 12 秒看出。”不要引入新的信息。如果结果与假设相悖，要诚实地承认，并给出科学原因。
8. Evaluation: Reliability, Accuracy, and Improvements | 评价：可靠性、准确性及改进
A thorough evaluation comments on the reliability of the data (e.g., 'Repeats were consistent, giving a small range'), accuracy (e.g., 'The balance measured to 0.01 g, so mass readings are accurate'), and any procedural limitations. Suggest realistic improvements: 'Using a water bath would maintain a more constant temperature than a Bunsen burner.' Relate each limitation to its potential impact on results and how an improvement would address it.
全面的评价要评论数据的可靠性（如“重复实验一致，范围小”）、准确性（如“天平能精确到 0.01 g，因此质量读数是准确的”）以及任何实验步骤上的局限性。提出切实可行的改进建议：“使用水浴比本生灯更能保持恒定的温度。”将每个局限性与它对结果可能产生的影响联系起来，并说明改进会如何解决它。
9. Model Report Extract: Enzyme Investigation | 范文摘录：酶实验调查
Aim: To investigate the effect of temperature on the activity of catalase, measured by the volume of oxygen produced per minute. Hypothesis: As temperature increases from 10 °C to 40 °C, the rate of reaction will increase because enzyme and substrate molecules gain kinetic energy, leading to more frequent collisions. Above 40 °C, the rate will decrease as the enzyme denatures.
目标：探究温度对过氧化氢酶活性的影响，通过每分钟产生的氧气体积来测量。假设：在温度从 10 °C 升高到 40 °C 时，反应速率会增加，因为酶和底物分子获得动能，导致碰撞更频繁。超过 40 °C，反应速率会下降，因为酶变性。
10. Model Analysis and Conclusion Paragraph | 范文分析与结论段落
The table shows that the volume of oxygen produced per minute increased from 5 cm³ at 10 °C to a maximum of 26 cm³ at 40 °C, then decreased to 3 cm³ at 60 °C. The graph forms a bell‑shaped curve. This supports the hypothesis: rate increases up to the optimum temperature (approximately 40 °C) due to increased kinetic energy, then decreases as the active site loses its shape. The conclusion is that temperature has a marked effect on catalase activity, with an optimum near 40 °C.
表格显示，每分钟产生的氧气体积从 10 °C 时的 5 cm³ 增加到 40 °C 时的最大值 26 cm³，然后下降到 60 °C 时的 3 cm³。图表呈钟形曲线。这支持了假设：反应速率在最适温度（约 40 °C）之前由于动能增加而上升，随后由于活性位点变形而下降。结论是温度对过氧化氢酶活性有显著影响，最适温度约为 40 °C。
11. Common Pitfalls and How to Avoid Them | 常见错误及避免方法
Many students lose marks by writing the method as a list of instructions (imperative mood) instead of a past‑tense account. Others fail to include units in table headers or on graph axes. A frequent error is drawing a conclusion that does not refer back to specific data. To avoid these, always re‑read the question, use a checklist (aim–hypothesis–variables–method–results–analysis–conclusion–evaluation), and dedicate two minutes to proofreading for units, tense, and scientific spelling.
许多学生因为把方法写成指令清单（祈使语气）而不是过去式的叙述而丢分。另一些人则未在表头或坐标轴上标注单位。常见的错误是得出的结论没有引用具体数据。为了避免这些，务必重读题目，使用检查清单（目标–假设–变量–方法–结果–分析–结论–评价），并花两分钟时间校对单位、时态和科学拼写。
12. Practice Template and Self‑Assessment Grid | 练习模板与自查表
| Section | 部分 | Key Elements to Include | 需包含的关键要素 | Check | 自查 |
|---|---|---|
| Aim | 目标 | Clear investigative statement / 清晰的调查陈述 | ☐ |
| Hypothesis | 假设 | Prediction + scientific reason / 预测 + 科学理由 | ☐ |
| Variables | 变量 | Independent, dependent, at least two controls / 自变量、因变量、至少两个控制变量 | ☐ |
| Method | 方法 | Past passive, quantities, repeats, safety / 过去被动、数量、重复、安全 | ☐ |
| Results | 结果 | Table (units), graph (labelled axes), anomalies noted / 表格（单位）、图表（坐标轴标签）、注明异常值 | ☐ |
| Analysis | 分析 | Pattern described, data quoted / 描述规律，引用数据 | ☐ |
| Conclusion | 结论 | Answers aim, supports/refutes hypothesis, data cited / 回答目标，支持/否定假设，引用数据 | ☐ |
| Evaluation | 评价 | Reliability, accuracy, limitations, suggested improvements / 可靠性、准确性、局限性、建议改进 | ☐ |
Using this framework consistently will build confidence and improve scores across all SQA Science extended writing tasks.
持续使用这个框架将建立信心，并在所有 SQA 科学扩展写作任务中提高分数。
Published by TutorHao | SQA Science Revision Series | aleveler.com
更多咨询请联系16621398022（同微信）
或截图后用「扫一扫 → 相册」选择本图