📚 Year 11 AQA Psychology: Experimental & Practical Assessment Key Points | 11 年级 AQA 心理学实验与实践考核要点
Research methods form the backbone of AQA GCSE Psychology. The experimental and practical assessment components test your ability to design studies, identify variables, handle data and evaluate findings. This guide covers the essential key points you need to master for your exams.
研究方法是 AQA GCSE 心理学的支柱。实验与实践考核部分考察你设计研究、识别变量、处理数据以及评估结果的能力。本指南涵盖了你需要掌握的核心考核要点。
1. Understanding Variables: IV, DV and Confounding Variables | 理解变量：自变量、因变量与混淆变量
An independent variable (IV) is the factor that the researcher manipulates or changes to see its effect. The dependent variable (DV) is the factor that is measured; it is the outcome that may be affected by changes in the IV. For example, in an experiment testing whether caffeine improves memory, the IV is the amount of caffeine given, and the DV is the memory test score.
自变量（IV）是研究者操纵或改变以观察其影响的因素。因变量（DV）是被测量的因素，它是受自变量变化影响的结果。例如，在测试咖啡因是否改善记忆的实验中，自变量是给予的咖啡因量，因变量是记忆测试得分。
Extraneous variables are any variables other than the IV that could affect the DV if not controlled. When an extraneous variable varies systematically with the IV, it becomes a confounding variable, making it impossible to determine whether the IV or the confound caused the change in the DV.
额外变量是除自变量外可能影响因变量的任何变量，如果不加控制。当额外变量与自变量系统性地一起变化时，它就成为混淆变量，导致无法确定是因变量还是混淆变量引起了因变量的变化。
2. Formulating Hypotheses | 提出假设
A hypothesis is a precise, testable statement predicting the relationship between the IV and the DV. A null hypothesis states there will be no difference or relationship, while an alternative (experimental) hypothesis predicts a specific effect (directional: ‘higher’ or ‘lower’; non-directional: ‘a difference’).
假设是一个精确、可检验的陈述，预测自变量与因变量之间的关系。零假设表示没有差异或关系，而备择（实验）假设预测特定的效应（方向性：‘更高’或‘更低’；非方向性：‘存在差异’）。
For instance, a directional hypothesis: ‘Participants who drink caffeinated coffee will recall more words than those who drink decaffeinated coffee.’ A non-directional hypothesis: ‘There will be a difference in word recall between participants who drink caffeinated coffee and those who drink decaffeinated coffee.’
例如，方向性假设：’饮用含咖啡因咖啡的参与者将比饮用脱因咖啡的参与者回忆更多单词。’ 非方向性假设：’饮用含咖啡因咖啡的参与者和饮用脱因咖啡的参与者在单词回忆上存在差异。’
3. Experimental Designs: Independent Groups, Repeated Measures & Matched Pairs | 实验设计：独立组、重复测量与匹配对设计
In an independent groups design, different participants take part in each condition of the experiment. In a repeated measures design, the same participants experience all conditions. In a matched pairs design, participants are paired based on a relevant characteristic, and each member of the pair is assigned to a different condition.
在独立组设计中，不同的参与者参与实验的每个条件。在重复测量设计中，同一组参与者经历所有条件。在匹配对设计中，参与者根据相关特征配对，每对成员被分配到不同条件。
Independent groups avoid order effects but may need more participants; repeated measures control participant variables but face order effects (practice, fatigue); matched pairs reduce participant variables but require time and resources to match. Counterbalancing can be used in repeated measures to control order effects.
独立组设计避免了顺序效应，但可能需要更多参与者；重复测量设计控制了参与者变量，但面临顺序效应（练习效应、疲劳效应）；匹配对设计减少了参与者变量的影响，但需要时间和资源进行匹配。在重复测量中可使用平衡法来控制顺序效应。
4. Controlling Extraneous Variables | 控制额外变量
Standardisation involves keeping the procedure identical across all participants to minimise environmental and situational differences. Random allocation to conditions helps distribute participant characteristics evenly, reducing the risk of confounding variables. Using a control group provides a baseline for comparison.
标准化意味着保持所有参与者的程序一致，以减少环境和情境差异。随机分配条件有助于均匀分布参与者特征，降低混淆变量的风险。使用控制组可以提供比较的基线。
Single-blind and double-blind procedures can reduce demand characteristics and investigator effects. In a single-blind study, participants do not know which condition they are in; in a double-blind study, neither the participants nor the researcher knows this until after data collection.
单盲和双盲程序可以减少需求特征和研究者效应。单盲研究中，参与者不知道自己所处的条件；双盲研究中，参与者和研究者在数据收集结束前都不知道分配情况。
5. Sampling Methods | 抽样方法
Sampling techniques determine how participants are selected from a target population. Random sampling gives everyone an equal chance, reducing bias. Opportunity sampling uses readily available participants, quick but prone to bias. Volunteer sampling relies on self-selection, often attracting a certain type of person. Stratified sampling represents subgroups proportionally, offering a more representative sample.
抽样技术决定了如何从目标人群中选取参与者。随机抽样使每个人都有均等机会，减少偏差。机会抽样利用容易获得的参与者，快速但易产生偏差。志愿者抽样依赖自我选择，往往吸引特定类型的人。分层抽样按比例代表子群体，提供更具代表性的样本。
6. Ethical Considerations | 伦理考量
Ethical guidelines ensure participants’ well-being. Key principles include informed consent, right to withdraw, protection from harm, confidentiality, and avoidance of deception unless necessary and justified. Debriefing must occur after the study to explain the true purpose and address any concerns.
伦理准则保障参与者的福祉。关键原则包括知情同意、退出权、免受伤害、保密，以及避免欺骗（除非必要且有正当理由）。研究后必须进行事后解说，解释真实目的并处理任何疑虑。
When working with children under 16, additional consent from parents or guardians is required. The British Psychological Society (BPS) code of conduct provides the framework for ethical research in the UK.
当涉及 16 岁以下儿童时，需要额外获得父母或监护人的同意。英国心理学会（BPS）行为准则为英国的伦理研究提供了框架。
7. Data Collection Techniques: Observations, Questionnaires & Interviews | 数据收集方法：观察法、问卷与访谈
Observational studies can be naturalistic or controlled, and participant or non-participant. Behavioural categories must be clearly defined (operationalised) to ensure reliability. Questionnaires can use closed questions for quantitative data or open questions for qualitative data. Interviews can be structured, unstructured, or semi-structured, obtaining rich qualitative data but may be subject to interviewer bias.
观察研究可以是自然观察或控制观察，参与式或非参与式。行为类别必须明确定义（操作化）以确保信度。问卷可使用封闭式问题获取定量数据，或开放式问题获取定性数据。访谈可以是结构化、非结构化或半结构化，可获得丰富的定性数据，但可能受到访谈者偏差的影响。
Pilot studies are small-scale trial runs that help identify problems with design or materials before the main study. They are essential for refining procedures and ensuring operationalisation of variables works as intended.
试点研究是小规模试验，有助于在主要研究之前发现设计或材料的问题。它们对于优化程序和确保变量的操作化如预期发挥作用至关重要。
8. Descriptive Statistics: Mean, Median, Mode & Range | 描述统计：平均数、中位数、众数与全距
The mean is the average calculated by summing all scores and dividing by the number of scores. The median is the middle value when scores are arranged in order. The mode is the most frequently occurring score. The range is the difference between the highest and lowest scores, indicating the spread of data.
平均数是将所有分数相加除以分数个数计算得出的平均值。中位数是将分数排序后中间的值。众数是出现频率最高的分数。全距是最高分与最低分的差值，显示数据的分散程度。
Mean = Σx / N
Where Σx is the sum of all scores and N is the number of scores. Which measure to use? The mean is sensitive to extreme scores (outliers); the median is more robust. The mode is useful for categorical data. When assessing consistency, a small range suggests less variability.
其中 Σx 是所有分数的和，N 是分数个数。使用哪种度量？平均数对极端值（异常值）敏感；中位数更稳健。众数适用于类别数据。在评估一致性时，较小的全距表明变异性较低。
9. Presenting Data: Graphs and Tables | 数据展示：图表与表格
Bar charts are used for discrete categories (nominal data) and show frequency. Histograms display continuous data with intervals, where bars touch. Scattergrams illustrate the relationship between two co-variables, showing correlation direction and strength. Tables summarise raw data clearly and should be labelled appropriately.
条形图用于离散类别（称名数据）并显示频率。直方图显示连续数据，条形互相接触。散点图展示两个共变量之间的关系，显示相关的方向和强度。表格清晰地总结原始数据，并应适当标注。
Always label both axes with the variable and unit of measurement, and give the graph a clear, descriptive title. In a scattergram, a line of best fit can be added to show the trend. Positive correlation means both variables increase together; negative correlation means one increases as the other decreases.
始终用变量和测量单位标注两个坐标轴，并给图表一个清晰、描述性的标题。在散点图中，可添加最佳拟合线以显示趋势。正相关意味着两个变量一起增加；负相关意味着一个增加时另一个减少。
10. Evaluating Experiments: Validity, Reliability & Practical Issues | 评估实验：效度、信度与实际操作问题
Internal validity refers to whether the study measured what it intended to measure (e.g., no confounding variables). External validity concerns generalisability: ecological validity (real-life settings), population validity (sample represents target population), and temporal validity (findings hold over time).
内部效度是指研究是否测量了其打算测量的内容（例如，没有混淆变量）。外部效度关注可推广性：生态效度（真实环境）、人口效度（样本代表目标人群）和时间效度（研究结果随时间推移仍然成立）。
Reliability means consistency. If you repeat the study, do you get similar results? Standardised procedures and careful operationalisation improve reliability. Inter-rater reliability is important in observations; using multiple observers and checking agreement ensures consistency.
信度指一致性。如果你重复研究，是否会得到相似结果？标准化程序和仔细的操作化能提高信度。观察者间信度在观察中很重要；使用多个观察者并检查一致性可确保可靠。
Practical issues include the cost, time, availability of participants, and feasibility of the design. These factors often force researchers to compromise between ideal design and real-world constraints.
实际考量包括成本、时间、参与者获取以及设计的可行性。这些因素常常迫使研究者在理想设计与现实约束之间做出妥协。
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