📚 Year 9 CAIE Psychology: Key Points for Experimental/Practical Assessments | Year 9 CAIE 心理学：实验/实践考核要点
In Year 9 CAIE Psychology, practical assessments often require you to design, conduct, or evaluate simple experiments. Understanding the core principles of experimental research will help you write clear hypotheses, control variables, collect data, and draw valid conclusions. This guide covers the essential points you need to master for your practical tasks.
在 Year 9 CAIE 心理学中，实践考核通常要求你设计、实施或评估简单的实验。掌握实验研究的核心原则能帮助你写出清晰的假设、控制变量、收集数据并得出有效的结论。本指南涵盖了你需要掌握的关键实践考核要点。
1. Understanding Aims and Research Questions | 理解研究目标与研究问题
Every experiment starts with a clear aim — a statement of what the study intends to explore. You should be able to turn a broad topic into a focused research question, such as 'Does background music affect memory recall in teenagers?' This precision helps guide your entire design.
每个实验都始于明确的研究目标——陈述研究想要探究的内容。你需要能够把一个宽泛的主题转化为一个聚焦的研究问题，例如“背景音乐是否影响青少年的记忆提取？”这种精确性能引导你的整个实验设计。
2. Formulating Testable Hypotheses | 制定可检验的假设
A hypothesis is a specific, testable prediction. You should distinguish between alternative (directional and non‑directional) and null hypotheses. For example, a directional hypothesis: 'Teenagers who study in silence will recall more words than those exposed to music.' The null hypothesis states there is no effect or difference.
假设是一个具体的、可检验的预测。你应该区分备择假设（方向性和非方向性）和零假设。例如，方向性假设：“在安静环境中学习的青少年比在有音乐的环境中能回忆更多单词。”零假设则陈述没有影响或差异。
3. Independent and Dependent Variables (IV and DV) | 自变量与因变量
The IV is the factor you manipulate or change, while the DV is the factor you measure. In the above example, the IV is the presence or absence of music, and the DV is the number of words correctly recalled. You must be able to operationalise both variables — clearly defining how they will be measured or altered.
自变量是你操控或改变的因素，因变量是你测量的因素。在上例中，自变量是音乐的有无，因变量是正确回忆的单词数量。你必须能够操作化这两个变量——清晰定义如何测量或改变它们。
4. Controlling Extraneous and Confounding Variables | 控制无关变量与混淆变量
Extraneous variables are any factors besides the IV that could affect the DV. If an extraneous variable systematically changes with the IV, it becomes a confounding variable and ruins internal validity. Common controls include using standardised instructions, random allocation, and keeping the environment constant.
无关变量是除自变量外可能影响因变量的任何因素。如果某个无关变量随自变量系统变化，它就变成混淆变量，破坏内部效度。常见的控制方法包括使用标准化指导语、随机分配和保持环境恒定。
5. Experimental Designs: Independent Groups, Repeated Measures, and Matched Pairs | 实验设计：独立组、重复测量与匹配对
Independent groups design uses different participants in each condition. Repeated measures uses the same participants in all conditions. Matched pairs assigns similar pairs of participants to different conditions. Each design has strengths and weaknesses related to participant variables and order effects.
独立组设计在每个条件下使用不同的参与者。重复测量设计让所有参与者接受所有条件。匹配对设计将相似的参与者配对后分配到不同条件。每种设计在参与者变量和顺序效应方面都有各自的优缺点。
6. Avoiding Order Effects and Demand Characteristics | 避免顺序效应与需求特征
In repeated measures, order effects (practice, fatigue, boredom) can distort results. Counterbalancing — where half the participants do condition A first and half do B first — helps balance these out. Demand characteristics occur when participants guess the aim and change their behaviour; single‑blind or double‑blind procedures can reduce these.
在重复测量中，顺序效应（练习、疲劳、厌倦）可能扭曲结果。平衡法——让一半参与者先做条件 A，另一半先做 B——有助于抵消这些影响。需求特征指参与者猜测研究目的并改变行为；单盲或双盲程序可以减少这些效应。
7. Sampling Methods and Ethical Considerations | 抽样方法与伦理考量
You need to know about opportunity, volunteer, and random sampling, and how each can affect representativeness. Ethics are crucial: obtain informed consent, guarantee confidentiality, give the right to withdraw, and debrief participants afterwards. For under‑16s, parental consent is required.
你需要了解机会抽样、志愿者抽样和随机抽样，以及每种方法如何影响代表性。伦理至关重要：获得知情同意、保证保密性、赋予退出权利，并在事后进行解释。对于 16 岁以下参与者，需要获得家长同意。
8. Collecting Quantitative and Qualitative Data | 收集定量与定性数据
Experiments typically produce quantitative data (numbers, scores, reaction times), but you may also gather qualitative data (e.g. open‑ended questions). Learn to create clear, unbiased questionnaires or recording sheets, and plan how you will record responses accurately during the practical.
实验通常产生定量数据（数字、分数、反应时），但你也可能收集定性数据（例如开放式问题）。学会制作清晰、无偏见的问卷或记录表，并计划如何在实践中准确记录反应。
9. Descriptive Statistics and Data Presentation | 描述统计与数据呈现
Calculate measures of central tendency (mean, median, mode) and dispersion (range). For Year 9, you may also compute percentages and ratios. Present data using bar charts, line graphs, or scatter plots, always labelling axes clearly and giving titles. A summary table with mean scores is a good starting point.
计算集中趋势指标（平均数、中位数、众数）和离散指标（全距）。Year 9 阶段，你可能还需要计算百分比和比率。使用条形图、折线图或散点图呈现数据，务必清晰标记坐标轴并给出标题。一张包含平均分的摘要表格是个好的起点。
10. Drawing Conclusions and Evaluating Findings | 得出结论与评价发现
Your conclusion should restate the hypothesis and state whether it was supported, referencing the calculated data (e.g., 'The mean recall was 15.2 words in silence and 9.8 with music, suggesting music impairs recall'). Discuss limitations — such as small sample size, lack of ecological validity, or possible confounding variables — and suggest realistic improvements.
你的结论应重申假设，并说明是否得到支持，同时引用计算的数据（例如“安静条件下的平均回忆量为 15.2 个单词，音乐条件下为 9.8 个，表明音乐削弱了记忆提取”）。讨论局限性——如样本量小、生态效度不足或可能的混淆变量——并提出切实可行的改进建议。
Published by TutorHao | Psychology Revision Series | aleveler.com
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