Year 10 AQA Psychology: Key Points for Experiments & Practical Assessments | Year 10 AQA 心理学：实验与实践考核要点

📚 Year 10 AQA Psychology: Key Points for Experiments & Practical Assessments | Year 10 AQA 心理学：实验与实践考核要点

Practical experiments form the backbone of psychological research. In Year 10 AQA Psychology, mastering the key skills for designing, conducting, and evaluating experiments is essential for success in practical assessments and written examinations. This guide covers the core components you need to know, from variables and hypotheses to ethics and data analysis.

实践实验是心理学研究的基石。在 Year 10 AQA 心理学中，掌握设计、实施和评估实验的关键技能对于实践考核和笔试的成功至关重要。本指南涵盖你需要了解的核心组成部分，从变量和假设到伦理与数据分析。

1. Understanding IV and DV | 理解自变量与因变量

An independent variable (IV) is the factor that the researcher deliberately changes or manipulates in order to observe its effect. A dependent variable (DV) is the factor that is measured; it is expected to change as a result of the manipulation of the IV.

自变量（IV）是研究者有意改变或操纵以观察其影响的变量。因变量（DV）被测量的变量，预计它会因自变量的操纵而发生变化。

For example, if you want to test whether listening to music affects concentration when solving puzzles, the IV would be the presence or absence of music (or different types of music). The DV could be the number of puzzles solved correctly in a set time.

例如，如果你想测试听音乐是否影响解谜时的专注力，自变量可以是是否有音乐（或不同种类的音乐）。因变量可以是在规定时间内正确解出的谜题数量。

It is vital to operationalise both variables. This means defining exactly how the IV will be manipulated and how the DV will be measured, so that the experiment can be replicated and clearly understood.

将两个变量操作化至关重要。这意味着要精确定义如何操纵自变量以及如何测量因变量，这样实验才能被复制并清晰理解。

2. Writing Hypotheses | 撰写假设

An experimental hypothesis predicts the relationship between the IV and the DV. It can be directional (one‑tailed), such as ‘Participants in the silent condition will recall significantly more words than those in the noisy condition.’ Alternatively, it can be non‑directional (two‑tailed): ‘There will be a significant difference in the number of words recalled between the silent and noisy conditions.’

实验假设预测自变量和因变量之间的关系。它可以是有方向的（单尾），例如“安静条件下的参与者回忆的单词数量将显著多于嘈杂条件下的参与者”。也可以是无方向的（双尾）：“安静与嘈杂条件下回忆的单词数量将存在显著差异”。

The null hypothesis states that any difference or correlation found is due to chance, not the manipulation of the IV. For example: ‘There will be no significant difference in word recall between the quiet and noisy groups; any difference is purely due to chance.’

零假设指出发现的任何差异或相关都是偶然产生的，而不是由自变量的操纵造成的。例如：“安静组和嘈杂组在单词回忆上不会有显著差异；任何差异纯属偶然。”

Both hypotheses must be clearly operationalised, specifying the exact conditions and measurements used.

两个假设都必须清晰地操作化，明确所用的确切条件和测量方式。

3. Experimental Designs | 实验设计

There are three main experimental designs you need to know. Each has its own strengths and limitations.

你需要了解三种主要的实验设计。每种设计都有自己的优势和局限。

Independent groups design: Different participants are used in each condition of the experiment. This avoids order effects, but participant variables (individual differences) may act as confounding variables unless groups are large and randomly allocated.

独立组设计：实验的每个条件使用不同的参与者。这避免了顺序效应，但除非组别足够大且随机分配，否则参与者变量（个体差异）可能成为混淆变量。

Repeated measures design: The same participants take part in all conditions. This controls for participant variables, but may suffer from order effects (practice, fatigue). Counterbalancing can reduce these effects.

重复测量设计：相同的参与者参加所有条件。这控制了参与者变量，但可能会受到顺序效应（练习、疲劳）的影响。抵消平衡可以减弱这些效应。

Matched pairs design: Participants are paired on key characteristics (e.g., memory ability), and one of each pair is placed in each condition. This reduces participant variables without order effects, but matching is time‑consuming and may be imperfect.

配对组设计：参与者根据关键特征（如记忆能力）进行配对，每对中的一人被分配到每个条件。这样减少了参与者变量且没有顺序效应，但匹配耗时且可能不完美。

Design	Strengths	Limitations
Independent groups	No order effects; less chance of demand characteristics	Participant variables may distort results; requires more participants
Repeated measures	Controls participant variables; fewer participants needed	Order effects; participants may guess the aim
Matched pairs	Reduces participant variables; no order effects	Time‑consuming; difficult to match perfectly

4. Controlling Extraneous Variables | 控制额外变量

Extraneous variables are any variables other than the IV that could affect the DV. If they are not controlled, they can become confounding variables, making it impossible to determine if the IV truly caused the change in the DV.

额外变量是除了自变量以外可能影响因变量的任何变量。如果不加以控制，它们会成为混淆变量，导致无法确定自变量是否真正引起了因变量的变化。

Standardisation is key: using exactly the same procedure, instructions, and environment for all participants. This keeps situational variables consistent.

标准化是关键：对所有参与者使用完全相同的程序、指导语和环境。这保持了情境变量一致。

Random allocation of participants to conditions helps spread participant variables evenly. In repeated measures, counterbalancing (e.g., half the participants do condition A first, half do condition B first) neutralises order effects.

将参与者随机分配到不同条件有助于均匀分散参与者变量。在重复测量中，抵消平衡（例如，一半参与者先做条件A，一半先做条件B）可以消除顺序效应。

Other control techniques include single‑blind (participants do not know which condition they are in) and double‑blind (neither participants nor researcher know) to reduce demand characteristics and experimenter bias.

其他控制技术包括单盲（参与者不知道自己所处条件）和双盲（参与者和研究者均不知道）以减少需求特征和实验者偏差。

5. Sampling Methods | 抽样方法

The sample is the group of participants selected from the target population. The way you select them affects the generalisability of your findings.

样本是从目标人群中选出的一组参与者。选择方式会影响研究结果的推广性。

Random sampling: Every member of the target population has an equal chance of being chosen. This reduces bias but can be difficult to achieve.
随机抽样：目标人群中每个成员有均等的机会被选中。这减少了偏差，但很难实现。
Opportunity sampling: Selecting people who are available and willing at the time. It is quick but often unrepresentative.
机会抽样：选择当时有空且愿意参与的人。它快速但通常不具代表性。
Volunteer sampling: Participants put themselves forward, often in response to an advert. This can lead to a highly motivated but biased sample.
志愿者抽样：参与者主动报名，通常回应广告。这可能导致样本积极性高但有偏差。
Systematic sampling: Choosing every nth person from a list. This is more representative than opportunity sampling but may still miss patterns.
系统抽样：从名单中每隔 n 个人选择一位。这比机会抽样更有代表性，但仍可能遗漏模式。
Stratified sampling: Dividing the population into subgroups (strata) and then randomly selecting participants in proportion to their occurrence. This gives the most representative sample but is complex.
分层抽样：将人群分为子群体（层），然后按比例随机选择参与者。这能给出最具代表性的样本，但较复杂。

6. Ethical Considerations | 伦理考量

All psychological research must follow ethical guidelines, such as those from the British Psychological Society (BPS). The main ethical principles include informed consent, deception, protection from harm, privacy, and the right to withdraw.

所有心理学研究必须遵循伦理准则，例如英国心理学会（BPS）的指南。主要伦理原则包括知情同意、欺骗、免受伤害、隐私和退出权利。

Informed consent: Participants must be told the true nature and purpose of the study (where possible) and agree to take part. For under‑16s, parental consent is required.

知情同意：参与者必须被告知研究的真实性质和目的（尽可能）并同意参与。未满 16 岁者需获得家长同意。

Protection from harm: Participants should leave the experiment in the same physical and psychological state as they arrived. You must not cause stress or embarrassment greater than what they might experience in everyday life.

免受伤害：参与者应保持与实验前同样的身心状态。你不能给参与者带来超过日常生活中可能经历的压力或尴尬。

Confidentiality: Personal data must be kept anonymous; typically participants are identified by numbers or codes. After the study, a thorough debriefing must explain the full aim and offer the opportunity to withdraw data.

保密性：个人资料必须保持匿名；通常用编号或代码识别参与者。研究结束后，必须进行充分的 debriefing（事后说明），解释全部目的并提供撤销数据的机会。

7. Standardised Procedures and Instructions | 标准化程序与指导语

A standardised procedure means that every participant experiences exactly the same conditions, instructions, timings, and environment. This prevents extraneous variables from becoming confounding variables and ensures the experiment can be replicated to check reliability.

标准化程序意味着每位参与者都经历完全相同的条件、指导语、计时和环境。这防止额外变量变成混淆变量，并确保实验可以被复制以检验信度。

Standardised instructions are read out or presented in writing so that all participants receive identical information. Even small differences in tone or phrasing can influence behaviour.

标准化指导语以口头或书面形式呈现，使所有参与者获得相同的信息。即使是语气或措辞上的微小差异也可能影响行为。

In practical assessments, you must show that you have used a clear, step‑by‑step procedure. For example, ensure the text of your briefing and debriefing is scripted, and that all materials (word lists, timers) are identical across trials.

在实践考核中，你必须展示使用了清晰、逐步的程序。例如，确保你的 briefing 和 debriefing 文本是预先写好的，所有材料（词表、计时器）在试次之间都相同。

8. Data Collection: Quantitative and Qualitative | 数据收集：定量与定性

Experiments mainly produce quantitative data – numerical results such as reaction times or number of items recalled. This data is easy to analyse statistically and can be displayed in graphs and tables.

实验主要产生定量数据——如反应时或回忆项目数等数值结果。这些数据易于统计分析，并可用图表展示。

However, you can also collect qualitative data by asking participants to describe their strategies or feelings. This provides richer detail but is harder to analyse and may be subjective.

然而，你也可以通过询问参与者描述其策略或感受来收集定性数据。这提供了更丰富的细节，但较难分析且可能主观。

In your practical logbook, record raw data clearly and honestly. Do not alter or omit unusual results; instead, discuss them as possible anomalies in your evaluation.

在你的实践日志中，如实清晰地记录原始数据。不要更改或删除异常结果；相反，在评估中将其作为可能的异常值进行讨论。

9. Descriptive Statistics and Graphs | 描述统计与图表

Descriptive statistics summarise your data. The mean (average) is the sum of all values divided by the number of values. The median is the middle number when data are ordered. The mode is the most frequent score. The range is the difference between the highest and lowest values.

描述统计总结数据。平均数（均值）是所有数值之和除以数值的个数。中位数是按顺序排列后位于中间的数。众数是出现频率最高的分数。全距是最高值与最低值之差。

Mean = Σx / n

Bar charts are used to display the mean scores of different conditions. It is important to label both axes clearly and include a title. In experiments with correlations, scattergrams are used to show the relationship between two variables.

柱状图用于显示不同条件的平均分数。清楚标注两条坐标轴并加上标题非常重要。在相关研究中，散点图用于展示两个变量之间的关系。

When plotting data, always choose the graph type appropriate to the data. For the AQA practical assessment, you may need to calculate percentages, ratios, or simple frequencies as part of your analysis.

绘制数据时，务必选择适合数据类型的图表。对于 AQA 实践考核，你可能需要计算百分比、比率或简单频率作为分析的一部分。

10. Evaluating Findings: Validity and Reliability | 评估结果：效度与信度

Reliability refers to the consistency of a measure. If you repeated the experiment under the same conditions, would you get similar results? Standardisation and careful control improve reliability.

信度指测量的一致性。如果在相同条件下重复实验，能否得到相似的结果？标准化和谨慎控制能提高信度。

Validity is whether the experiment truly measures what it claims to measure. Internal validity is affected by confounding variables, demand characteristics, and experimenter bias. Ecological validity questions whether the findings apply to real‑life settings.

效度指实验是否真正测量了它声称要测量的东西。内部效度受混淆变量、需求特征和实验者偏差的影响。生态效度则关注研究发现是否适用于真实生活环境。

To assess validity, check whether the task reflects a real‑world scenario and whether the IV alone is likely responsible for the change in DV. Using a control group helps establish internal validity.

要评估效度，检查任务是否反映真实场景以及是否仅由自变量引起因变量的变化。使用控制组有助于确立内部效度。

11. Pilot Studies and Peer Review | 试点研究与同行评审

A pilot study is a small‑scale trial run of your experiment. It allows you to check whether instructions are clear, whether the procedure runs smoothly, and whether any materials or timings need adjusting. Running a pilot can save time and improve the quality of your final experiment.

试点研究是实验的小规模试行。它可以让你检查指导语是否清晰、过程是否顺利，以及是否有材料或时间安排需要调整。进行试点可以节省时间并提高最终实验的质量。

Peer review means asking classmates or other researchers to scrutinise your procedure and conclusions. Through peer review, you can identify hidden biases, suggest alternative explanations, and ensure ethical standards are met. This mirrors the process used in professional science.

同行评审指的是请同学或其他研究者仔细审查你的程序和结论。通过同行评审，你可以发现隐藏的偏差，提出其他解释，并确保伦理标准得到遵守。这反映了专业科学中使用的过程。

12. Common Practical Assessment Tasks and Tips | 常见实践考核任务与提示

Typical Year 10 experiments include memory tests (e.g., short‑term memory and chunking), the Stroop effect, and investigations into context‑dependent recall. In your practical assessment, you may be asked to design a simple experiment, write a hypothesis, collect and present data, and then evaluate your work.

Year 10 的典型实验包括记忆测试（如短时记忆与组块）、Stroop效应以及情境依赖性回忆的研究。在实践考核中，你可能被要求设计一个简单的实验，写出假设，收集并呈现数据，然后评估你的工作。

Key tips: always operationalise your variables; choose an appropriate experimental design and justify it; write clear, standardised instructions; record raw data in a table; calculate the mean and present results in a properly labelled bar chart; then discuss validity, reliability, ethical issues, and possible improvements.

关键提示：始终操作化你的变量；选择恰当的实验设计并说明理由；写出清晰、标准化的指导语；将原始数据记录在表格中；计算均值并将结果呈现在正确标注的柱状图中；然后讨论效度、信度、伦理问题和可能的改进。

Checklist for your report: introduction with aim and hypothesis; method detailing design, participants, apparatus, and procedure; results with tables and graphs; conclusion; and evaluation. Following this structure demonstrates your understanding of research methods, which is a core part of the AQA specification.

报告检查清单：包含目的和假设的引言；详述设计、参与者、工具和程序的方法；带有表格和图表的结果；结论；以及评估。遵循这一结构可以展示你对研究方法的理解，这是 AQA 课程大纲的核心部分。

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Year 10 AQA Psychology: Key Points for Experiments & Practical Assessments | Year 10 AQA 心理学：实验与实践考核要点