📚 Year 11 CAIE Psychology: Experimental/Practical Exam Key Points | Year 11 CAIE 心理学：实验/实践考核要点
The CAIE IGCSE Psychology (0479) practical assessment tests your ability to think like a psychologist. You will be asked to design studies, analyse data, and evaluate research methods. Mastering the core experimental concepts is essential for success. This guide covers the key areas you need to revise for the practical paper, from variables and hypotheses to ethics and statistics.
CAIE IGCSE 心理学 (0479) 实践评估考查你像心理学家一样思考的能力。你需要设计研究、分析数据并评估研究方法。掌握核心实验概念是取得高分的关键。本指南将梳理实践卷需要复习的重点内容，从变量与假设到伦理与统计，助你从容应考。
1. Overview of the Practical Assessment | 实践评估概览
The practical component, often Paper 2 (Alternative to Practical), comprises questions that simulate real research scenarios. You will be required to write hypotheses, describe sampling methods, identify variables, suggest controls, calculate descriptive statistics, draw graphs, and critically evaluate findings. The exam rewards precision and a solid grasp of research methodology.
实践部分通常为 Paper 2（替代实践活动），包含模拟真实研究情境的题目。你需要撰写假设、描述抽样方法、识别变量、提出控制措施、计算描述性统计量、绘制图表并批判性地评估结果。考试对精确性和研究方法的扎实掌握予以奖励。
2. Identifying Variables | 识别变量
In any experiment, clearly identify the independent variable (IV) – the factor manipulated by the researcher – and the dependent variable (DV) – the factor measured. It is vital to operationalise both variables: define precisely how the IV will be changed and how the DV will be quantified. For example, ‘whether participants drink a caffeinated drink or a placebo’ is an operationalised IV; ‘reaction time in milliseconds on a computer task’ is an operationalised DV. Confounding variables must also be considered, though in the exam you often focus on controlled variables.
在任何实验中，都要明确识别自变量 (IV)——研究者操控的因素，以及因变量 (DV)——测量的因素。至关重要的是对两个变量进行操作化定义：精确界定如何改变 IV，以及如何量化 DV。例如，“被试饮用含咖啡因饮料还是安慰剂”就是操作化的 IV；“在电脑任务中的反应时，以毫秒计”是操作化的 DV。同时还要考虑混淆变量，但在考试中你通常重点指出控制变量。
3. Formulating Hypotheses | 提出假设
Hypotheses must be clear, testable statements. An experimental hypothesis (alternate) predicts a difference or relationship between the IV and DV and should be directional (one-tailed) when previous research supports a specific direction, e.g. ‘Participants who drink caffeine will have significantly faster reaction times than those who drink a placebo.’ A null hypothesis states that any difference observed is due to chance, e.g. ‘There will be no significant difference in reaction time between caffeine and placebo conditions.’
假设必须是清晰、可验证的陈述。实验假设（备择）预测 IV 和 DV 之间的差异或关系，若先前研究支持特定方向，则应为定向（单尾）假设，如“饮用咖啡因的被试反应时显著快于饮用安慰剂的被试”。零假设声明观察到的任何差异均由偶然因素造成，如“咖啡因组与安慰剂组的反应时无显著差异”。
4. Experimental Design Choices | 实验设计选择
Selecting an appropriate design is crucial. The three main designs are:
| Design | Description | Key Weakness |
|---|---|---|
| Independent measures | Different participants in each condition | Participant variables may confound results |
| Repeated measures | Same participants do all conditions | Order effects (practice, fatigue) |
| Matched pairs | Participants matched on key traits, then split | Matching is never perfect; time-consuming |
选择合适的实验设计至关重要。三种主要设计：独立组设计（各组被试不同，弱点是被试变量可能混淆结果）、重复测量设计（同一组被试完成所有条件，弱点是顺序效应如练习、疲劳）、配对设计（根据关键特质匹配被试后分组，弱点是匹配不可能完美且耗时）。
5. Standardisation and Control | 标准化与控制
To ensure reliability, researchers use standardised procedures: identical instructions, same environment, fixed timings, and consistent apparatus. Control of extraneous variables – such as noise, lighting, or experimenter bias – prevents them from becoming confounding variables. In the practical exam, you must describe specific controls related to the study you are developing or evaluating. For instance, ‘all participants will receive the same word list; the room temperature will be kept at 21°C; the instructions will be read from a script.’
为确保信度，研究者采用标准化程序：相同的指导语、环境、固定时间和一致设备。控制无关变量——如噪音、照明或主试偏见——可防止它们成为混淆变量。在实践考试中，你需要针对所设计或评估的研究描述具体的控制措施。例如，“所有被试将看到同一份词表；室温保持在 21°C；指导语照稿宣读”。
6. Sampling Participants | 抽样参与者
Sampling methods affect the representativeness and generalisability of findings. Common techniques include:
- Random sampling: every member of the target population has an equal chance of being selected – reduces bias but not always feasible.
- Opportunity sampling: selecting those readily available, e.g. students in a class – quick but biased.
- Volunteer sampling: participants self-select – motivated but may be unrepresentative.
In your answers, always link the sampling method back to the target population and discuss potential sample bias.
抽样方法影响结果的代表性和推广性。常见技术：随机抽样——目标人群中人人有同等机会，减少偏差但未必可行；方便抽样——选取易获得者，如班上学生，快速但有偏差；志愿者抽样——被试自荐，动机强但可能不具代表性。作答时务必把抽样方法与目标人群联系起来，讨论可能的样本偏差。
7. Ethical Considerations in Practice | 实践中的伦理考量
IGCSE psychology heavily tests ethical guidelines. For any proposed study, address: informed consent (and how parents’ consent is sought for under-16s), right to withdraw, confidentiality, protection from harm (physical and psychological), and debriefing. The exam may require you to identify ethical issues in a scenario and suggest improvements. For instance, ‘Participants must be told they can leave at any time without penalty, and all data will be anonymised.’
IGCSE 心理学十分重视伦理准则。在任何研究设计中，都应涉及：知情同意（16 岁以下需获得家长同意）、退出权、保密、免受（身心）伤害、事后解释。考试可能要求你指出情境中的伦理问题并提出改进建议。例如，“必须告知被试可随时退出且不受惩罚，所有数据匿名处理”。
8. Data Collection and Measurement | 数据收集与测量
Data can be quantitative (numbers, e.g. test scores) or qualitative (words, e.g. interview transcripts). You should be familiar with common self-report tools like questionnaires and interviews, as well as observational techniques (using behavioural categories and tallying). Ensure measurement is valid (measures what it claims) and reliable (consistent results). In the practical paper, you might need to design a rating scale or explain how inter-rater reliability could be checked.
数据可以是定量（数字，如测验分数）或定性（文字，如访谈记录）。需熟悉常见自陈工具（问卷、访谈）及观察技术（使用行为类别与计数）。确保测量有效度（测到应测内容）和信度（结果一致）。在实践卷中，你可能需要设计评定量表或解释如何检验评分者间信度。
9. Descriptive Statistics | 描述性统计
You must be able to calculate and interpret measures of central tendency and spread. The mean is the average; median is the middle value; mode is the most frequent. The range is the difference between the highest and lowest values. In the exam, you may be asked to compute these from a small dataset and explain why a particular measure is most appropriate, considering outliers or skewed data.
你必须会计算并解释集中量数和离散量数。平均值是算术平均；中位数是中间值；众数是出现次数最多的值。范围是最高值与最低值之差。考试可能要求你从一个小型数据集计算这些值，并说明为何某种量数最合适，需考虑异常值或偏态分布。
Mean = Σx / n
Range = highest score – lowest score
For median with an even number of scores, find the midpoint between the two middle numbers. Always show your working.
计算偶数数据中位数时，取中间两数的中点。务必展示运算过程。
10. Drawing and Interpreting Graphs | 绘制与解读图表
Bar charts are commonly used to display means for different conditions. A well-drawn graph includes: a title, labelled axes with units, appropriately scaled y-axis starting from zero, and bars of equal width with gaps between. Scatter graphs illustrate correlations, with a line of best fit. In the exam, you may be asked to sketch a graph or explain why a particular graph type is suitable. Always check for error bars or anomalies described in the question.
条形图常用于显示不同条件下的平均值。一幅规范的图表包括：标题、带单位的轴标签、从零开始的合理刻度 y 轴、等宽且有间隔的条形。散点图展示相关关系，并配以最佳拟合线。考试可能要求你绘制简图或解释为何某图表类型合适。记得留意题目给出的误差线或异常数据。
11. Evaluating Experiments and Conclusions | 评估实验与结论
Evaluation questions ask you to consider validity (did the study measure what it intended? Does the IV truly cause changes in the DV?) and reliability (if repeated, would results be consistent?). You should discuss ecological validity, demand characteristics, investigator effects, and whether a cause-and-effect relationship can be established. Then, judge whether the conclusion follows from the data, and suggest one improvement, e.g. using a larger, more diverse sample, or adding a control group.
评估类问题要求你考量效度（研究是否测量了预定内容？IV 是否真引起 DV 变化？）和信度（重复研究结果是否稳定？）。你应讨论生态效度、要求特征、主试效应，以及能否建立因果关系。随后判断结论是否源于数据，并提出一项改进，例如使用更大、更多元的样本，或增设对照组。
12. Exam Technique for Practical Questions | 实践题答题技巧
Read the scenario carefully and identify the command words: state, describe, suggest, evaluate, calculate. When designing a study, structure your answer logically: aim, hypothesis, design, sample, procedure, controls, ethical considerations, planned data analysis. Refer to the named study throughout. Use psychological terminology accurately – e.g. do not confuse ‘experiment’ with ‘correlation’. Always refer back to the context provided in the question rather than giving generic textbook answers.
仔细阅读情境，识别指令词：陈述、描述、建议、评估、计算。设计研究时，按逻辑架构作答：研究目的、假设、设计、样本、程序、控制、伦理考量、拟用的数据分析。全篇紧扣所命名的研究。准确使用心理学术语——例如勿混淆“实验”与“相关”。始终结合题目提供的情境作答，而非给出教科书式泛泛回答。
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