📚 Year 10 AQA Psychology: Key Points for Experiments / Practical Assessments | AQA十年级心理学：实验/实践考核要点
Experiments and practical assessments lie at the heart of Year 10 AQA Psychology. They test not only your knowledge of research methods but also your ability to design, conduct, analyse and evaluate a study like a real psychologist. This guide breaks down every essential point you need to master the experimental and practical assessment components in your course.
实验和实践考核是AQA十年级心理学的核心。它们不仅考察你对研究方法的了解，还要求你像真正的心理学家一样，能够设计、实施、分析和评估一项研究。本指南将逐一分解掌握实验和实践评估部分所需的每一个要点。
1. Understanding Variables and Operationalisation | 理解变量与操作化
The independent variable (IV) is the factor you deliberately change or manipulate in an experiment. The dependent variable (DV) is the outcome you measure. For any practical assessment, you must define both variables in a way that allows precise measurement — this is called operationalisation.
自变量(IV)是你在实验中刻意改变或操纵的因素。因变量(DV)是你需要测量的结果。在任何实践考核中，你必须以一种允许精确测量的方式来定义这两个变量——这被称为操作化。
For example, rather than saying ‘memory improves with sleep’, you would operationalise the IV as ‘amount of sleep (4 hours vs 10 hours)’ and the DV as ‘number of words recalled from a 20‑word list’. Always ask yourself: could another researcher repeat my study based solely on my operationalised definitions?
例如，与其说“睡眠改善记忆力”，不如将IV操作化为“睡眠时长（4小时与10小时）”，将DV操作化为“从20个单词列表中回忆出的单词数量”。始终问自己：另一位研究者能否仅凭我的操作化定义重复我的研究？
Extraneous variables are any factors apart from the IV that might affect the DV. If these systematically change with the IV, they become confounding variables and destroy the internal validity of an experiment.
额外变量是指除IV以外任何可能影响DV的因素。如果这些因素随IV系统性变化，它们就会成为混淆变量，破坏实验的内部效度。
2. Types of Experiments | 实验类型
AQA expects you to know four main types: laboratory, field, natural and quasi‑experiments. A laboratory experiment takes place in a controlled, artificial setting where the researcher manipulates the IV and strictly controls extraneous variables. It offers high internal validity but can lack ecological validity because of the artificial environment.
AQA要求你了解四种主要类型：实验室实验、现场实验、自然实验和准实验。实验室实验在受控的人工环境中进行，研究者操纵IV并严格控制额外变量。它具有较高的内部效度，但由于人工环境可能缺乏生态效度。
A field experiment is conducted in a real‑world setting. The IV is still manipulated, but there is less control over extraneous variables. This boosts ecological validity at the expense of some internal validity. A natural experiment takes advantage of a naturally occurring event or situation as the IV (e.g., a flood); the researcher does not manipulate it directly. Quasi‑experiments involve an IV based on an existing characteristic of participants, such as age or gender, which cannot be randomly allocated.
现场实验在真实世界环境中进行。IV仍然被操纵，但对额外变量的控制较少。这提高了生态效度，但牺牲了一定的内部效度。自然实验利用自然发生的事件或情境作为IV（例如洪水）；研究者不直接操纵它。准实验涉及的IV基于参与者的现有特征，如年龄或性别，无法随机分配。
3. Hypotheses: Alternative and Null | 假设：备择假设与零假设
Every experiment begins with a hypothesis. The alternative hypothesis (often written H₁) states that there will be a significant difference or relationship between the key variables. It must be directional (one‑tailed) if previous research suggests a specific outcome, e.g., ‘Participants who drink 300 ml of water will recall more words than those who drink only 50 ml.’ If the direction is not predicted, it is non‑directional (two‑tailed): ‘There will be a difference in word recall between the two water intake groups.’
每个实验都始于一个假设。备择假设（通常写作H₁）指出关键变量之间存在显著差异或关系。如果先前的研究表明有特定结果，它应该是方向性的（单尾），例如“饮用300毫升水的参与者比只饮用50毫升水的参与者能回忆更多单词”。如果方向没有预测，则是非方向性的（双尾）：“两个不同饮水量组在单词回忆上会存在差异”。
The null hypothesis (H₀) is essential: it always states that there will be no significant difference or relationship, and any observed effect is due to chance. Being able to write both a clear alternative and null hypothesis is a core practical assessment skill.
零假设（H₀）至关重要：它总是声明不存在显著差异或关系，任何观察到的效应都是偶然的。能够写出清晰的备择假设和零假设是一项核心实践评估技能。
4. Experimental Designs | 实验设计
You will need to identify or choose between three experimental designs: independent groups, repeated measures and matched pairs. Each design has strengths and weaknesses, and exam questions often ask you to justify your choice.
你需要识别或在三种实验设计间做出选择：独立组、重复测量和匹配对。每种设计都有优缺点，考试题目经常要求你证明你的选择是合理的。
| Design | Description | Strength | Weakness |
|---|---|---|---|
| Independent groups | Different participants in each condition of the IV. | No order effects (practice or fatigue). | Participant variables may differ between groups, requiring more participants. |
| Repeated measures | Same participants take part in all conditions. | Controls participant variables; fewer participants needed. | Order effects (boredom, practice) may occur; demand characteristics possible. |
| Matched pairs | Pairs of participants matched on relevant traits, then split between conditions. | Reduces participant variables without order effects. | Time‑consuming and difficult to match participants perfectly. |
In a practical write‑up, you must explain how you will deal with these limitations. For example, if you choose repeated measures, you should describe counterbalancing — where half the participants do condition A first and half do condition B first — to spread order effects evenly.
在实践报告中，你必须说明你将如何应对这些局限性。例如，如果你选择重复测量设计，你应该描述平衡法——让一半参与者先做条件A，另一半先做条件B——以均匀分散顺序效应。
5. Controlling Extraneous Variables | 控制额外变量
High‑quality practical work depends on controlling extraneous variables so that you can be more confident that the IV caused the change in the DV. Standardisation is your primary tool: all procedures, instructions and timings must be exactly the same for every participant.
高质量的实践工作依赖于控制额外变量，这样你才能更确信是IV导致了DV的变化。标准化是你的主要工具：所有程序、指导语和时间都必须对每位参与者完全一致。
Specific controls include using a standardised script for instructions, keeping the room temperature and lighting constant, and minimising noise. You might also use random allocation to place participants into conditions when using independent groups, reducing the impact of participant variables. Counterbalancing, as mentioned, manages order effects in repeated measures designs.
具体的控制措施包括使用标准化指导语脚本、保持室温和照明恒定以及减少噪音。在使用独立组设计时，你还可以使用随机分配将参与者安排到不同条件中，以减少参与者变量的影响。如前所述，平衡法可在重复测量设计中管理顺序效应。
6. Sampling Methods | 抽样方法
The participants in your experiment are your sample, drawn from a target population. AQA expects you to evaluate four common sampling techniques: opportunity, random, stratified and systematic. For your practical assessment, you need to state which method you used and why.
实验中的参与者就是你的样本，来自目标人群。AQA希望你评估四种常见的抽样技术：机会抽样、随机抽样、分层抽样和系统抽样。在你的实践评估中，你需要说明你使用了哪种方法及其原因。
Opportunity sampling involves recruiting anyone available and willing, often from your school or class. It is quick and convenient but produces a biased sample. Random sampling gives every member of the target population an equal chance of being selected, but it is rarely truly achievable in a school setting. Stratified sampling divides the population into key subgroups and selects proportional numbers from each; it is highly representative but complex. Systematic sampling selects every nth person from a list, but the list must be random.
机会抽样是招募任何可用且愿意的人，通常来自你的学校或班级。它快速方便，但会产生有偏见的样本。随机抽样让目标人群中的每个成员都有平等被选中的机会，但在学校环境中很少真正实现。分层抽样将人群划分为关键子群，然后从每个子群中按比例选取；它极具代表性但操作复杂。系统抽样从一个名单中选取每第n个人，但该名单必须是随机的。
In your write‑up, you should also acknowledge the limitations of your chosen method and suggest how representativeness might be improved, even if you cannot implement it.
在你的报告中，你还应承认所选择方法的局限性，并提出如何提高代表性的建议，即使你无法实施它。
7. Ethical Considerations | 伦理考量
British Psychological Society (BPS) ethical guidelines must be followed in all practical work. For Year 10, the key principles include informed consent, avoidance of deception, the right to withdraw, protection from harm, and confidentiality. Your teacher will require you to address these in your plan.
在所有实践工作中，必须遵守英国心理学会（BPS）的伦理准则。对于十年级学生，关键原则包括知情同意、避免欺骗、退出权利、免受伤害以及保密。你的老师会要求你在计划中处理这些问题。
For example, if your experiment involves a memory test that might cause anxiety, you must explain how you will minimise stress. Ideally, you obtain fully informed consent, but sometimes a study requires mild deception to avoid demand characteristics. In such cases, you must debrief participants afterwards, explaining the true purpose of the study and offering the chance to withdraw their data. Always state these steps in your practical report.
例如，如果你的实验涉及可能引起焦虑的记忆测试，你必须说明将如何减少压力。理想情况下，你应获得完全知情同意，但有时研究需要轻微的欺骗以避免要求特征。在这种情况下，你必须在事后对参与者进行解释，说明研究的真实目的，并给予他们撤回数据的机会。在你的实践报告中务必陈述这些步骤。
8. Data Collection and Analysis | 数据收集与分析
Practical assessments require you to record raw data systematically. Use a clear results table with labelled columns and units. For quantitative data, you should calculate at least the mean as a measure of central tendency. In more complex tasks, you might also work out the range as a measure of dispersion, or the median and mode.
实践评估要求你系统地记录原始数据。使用清晰的、带有标签列和单位的表格。对于定量数据，你至少应计算算术平均数作为集中趋势的量度。在更复杂的任务中，你可能还需要计算极差作为离散程度的量度，或计算中位数与众数。
Interpreting the data involves comparing the descriptive statistics for each condition. If the mean recall in one condition is higher, you need to consider whether the difference is large enough to support the alternative hypothesis, bearing in mind the influence of chance. You will not be expected to run inferential statistical tests at Year 10, but you should be able to display data using bar charts, with the IV on the x‑axis and the mean DV on the y‑axis, and label everything clearly.
解释数据涉及比较每个条件下的描述统计。如果某个条件下的平均回忆量更高，你需要考虑这个差异是否大到足以支持备择假设，同时要顾及偶然因素的影响。在十年级阶段并不要求你进行推断性统计检验，但你应当能够使用柱状图来展示数据，图中x轴为IV，y轴为DV的平均值，并清晰地标注所有项目。
9. Reliability and Validity | 信度与效度
Reliability refers to consistency. If your experiment is reliable, repeating it under the same conditions would yield similar results. In your practical evaluation, you can discuss whether standardised procedures were strictly followed and whether any measurement tools were consistent.
信度指的是稳定性。如果你的实验具有信度，那么在相同条件下重复该实验会得到相似的结果。在实践评估中，你可以讨论标准化程序是否被严格遵守，以及测量工具是否保持一致。
Validity concerns whether your experiment truly measures what it intends to measure. Internal validity asks: was it really the IV affecting the DV, or did confounding variables play a role? External validity includes ecological validity (can results be generalised to real‑life settings?) and population validity (can results be generalised to the wider target population?). A common mistake is using a tiny, unrepresentative sample and then drawing sweeping conclusions. In your write‑up, suggest concrete ways to improve both reliability (e.g., more pilot testing) and validity (e.g., using a more naturalistic setting).
效度关注的是实验是否真正测量了它想要测量的内容。内部效度追问：真的是IV影响了DV，还是混淆变量在起作用？外部效度包括生态效度（结果能推广到真实生活场景吗？）和人群效度（结果能推广到更广泛的目标人群吗？）。一个常见错误是使用极少的、无代表性的样本，然后得出笼统的结论。在你的报告中，要提出提高信度（例如，更多预试验）和效度（例如，使用更自然的环境）的具体方法。
10. Practical Write‑Up and Common Mistakes | 实践报告与常见错误
Your practical report will typically be structured under the headings: Introduction (including aim, hypothesis, relevance), Method (design, participants, materials, procedure), Results (summary table, graph, descriptive statistics), Discussion (explanation of findings, evaluation of strengths and weaknesses, modifications).
你的实践报告通常按照以下标题来组织结构：引言（包括目标、假设、相关性）、方法（设计、参与者、材料、程序）、结果（汇总表、图表、描述统计）、讨论（对发现的解释、优点和弱点的评估、修改建议）。
Common mistakes include confusing the IV with the DV, writing a hypothesis that is not clearly operationalised, forgetting to detail ethical safeguards, failing to control obvious extraneous variables (such as noise), and offering conclusions that are not directly supported by the data. Another frequent error is describing the results as ‘proving’ the hypothesis — in psychology, we never claim to prove a hypothesis; we talk about ‘supporting’ or ‘challenging’ it.
常见错误包括混淆IV和DV，撰写的假设未清楚地操作化，忘记详细说明伦理保障措施，未能控制明显的额外变量（如噪音），以及得出数据无法直接支持的结论。另一个常见错误是将结果描述为“证明”了假设——在心理学中，我们从不声称证明了某个假设；我们谈论的是“支持”或“挑战”它。
Always leave time to check that your graph has a meaningful title and fully labelled axes, and that you have linked your evaluation points directly back to the concepts of reliability and validity. Treat every practical as a mini‑investigation that mimics a real research paper, and you will meet the assessment objectives confidently.
务必留出时间检查你的图表是否有意义的标题和完整的坐标轴标签，以及你是否将你的评估要点直接与信度和效度的概念联系起来了。把每一次实践都当作模仿真实研究论文的小型调查，你就能自信地达到评估目标。
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