📚 AS AQA Psychology: Key Points for Experimental/Practical Assessments | AS AQA 心理学：实验/实践考核要点
Mastering the experimental and practical assessment components is essential for success in AS AQA Psychology. This guide consolidates the key concepts you need to understand – from formulating hypotheses and identifying variables to controlling extraneous factors and writing up a practical report. Each section breaks down the core knowledge required for Paper 2, with clear English explanations followed by paired Chinese translations to support bilingual learners.
掌握实验与实践考核部分对于在 AS AQA 心理学中取得成功至关重要。本指南汇总了你需要理解的关键概念——从提出假设、识别变量到控制额外因素和撰写实验报告。每一部分都分解了 Paper 2 所需的核心知识，提供清晰的英文解释后紧跟配对的汉语翻译，以支持双语学习者。
1. Understanding Experimental Methods | 理解实验方法
An experiment is a research method in which the researcher manipulates an independent variable (IV) to measure its effect on a dependent variable (DV) while trying to control extraneous variables. In AQA AS Psychology, you need to be able to distinguish between laboratory experiments, field experiments, quasi-experiments, and natural experiments.
实验是一种研究方法，研究者操纵自变量 (IV) 以测量其对因变量 (DV) 的影响，同时试图控制额外变量。在 AQA AS 心理学中，你需要能够区分实验室实验、现场实验、准实验和自然实验。
Laboratory experiments take place in a highly controlled, artificial setting. This allows high internal validity and easy replication, but findings may lack ecological validity because the environment is not natural.
实验室实验在高度控制的人为环境中进行。这使得内部效度高且易于重复，但由于环境不自然，结果可能缺乏生态效度。
Field experiments are conducted in a natural, real-world environment. The IV is still deliberately manipulated, but participants often remain unaware they are in a study. This boosts ecological validity, though controlling all extraneous variables is more difficult.
现场实验在自然的真实世界环境中进行。IV 仍被有意操纵，但参与者通常不知道自己处于研究中。这提高了生态效度，但控制所有额外变量更困难。
Quasi-experiments also have an IV and a DV, but the IV occurs naturally and is not directly manipulated by the researcher (e.g., gender, age). Participants cannot be randomly allocated to conditions, so cause-and-effect conclusions are weaker.
准实验也有 IV 和 DV，但 IV 是自然存在的，研究者并不直接操纵（例如性别、年龄）。参与者无法被随机分配到各组，因此因果结论较弱。
Natural experiments are similar, but the IV changes due to a naturally occurring event (e.g., a new law or a natural disaster). The researcher simply measures the DV before and after the change. As with quasi-experiments, random allocation is impossible.
自然实验与之相似，但 IV 的变化是由自然发生的事件引起（例如新法律或自然灾害）。研究者只需在变化前后测量 DV。与准实验一样，无法随机分配。
2. Key Variables in Experiments | 实验中的关键变量
The independent variable (IV) is the factor that the researcher manipulates or changes. It is expected to cause a change in the dependent variable. For an experiment to be valid, the IV must be operationalised – stated clearly so anyone could replicate the manipulation.
自变量 (IV) 是研究者操纵或改变的因素。它被预期会导致因变量的变化。为了实验的有效性，IV 必须被操作化——清晰地陈述，使得任何人都能重复这一操纵。
The dependent variable (DV) is the factor that is measured. The researcher records the effect of the IV on the DV. Like the IV, the DV must be operationalised (e.g., ‘score on a memory test out of 20’ rather than just ‘memory’).
因变量 (DV) 是被测量的因素。研究者记录 IV 对 DV 的影响。与 IV 一样，DV 必须操作化（例如，“20 分制的记忆测验得分”而不只是“记忆”）。
Extraneous variables (EVs) are any variables other than the IV that might affect the DV if not controlled. They become confounding variables when they accidentally vary systematically with the IV, making it impossible to be sure whether the IV or the confound caused the change in the DV.
额外变量 (EVs) 是除 IV 外可能影响 DV 的任何变量，如果不加控制的话。当它们意外地随 IV 系统性变化时，就成为混淆变量，此时无法确定是 IV 还是混淆变量引起了 DV 的改变。
Major categories of extraneous variables include participant variables (e.g., age, intelligence, mood), situational variables (e.g., time of day, noise, temperature), and experimenter effects (e.g., researcher’s expectations influencing participants).
额外变量的主要类别包括参与者变量（如年龄、智力、情绪）、情境变量（如时间、噪声、温度）和实验者效应（如研究者期望影响参与者）。
3. Hypotheses: Null and Experimental | 假设：零假设与实验假设
A hypothesis is a precise, testable statement about the expected outcome of a study. In AS AQA Psychology, you must be able to write both an experimental hypothesis and a null hypothesis.
假设是一个精确、可检验的陈述，说明研究的预期结果。在 AS AQA 心理学中，你必须能够写出实验假设和零假设。
An experimental hypothesis (sometimes called the alternative hypothesis) predicts there will be an effect of the IV on the DV. It can be directional (one-tailed) if previous research suggests the direction of the effect, e.g., ‘Participants who drink 200 ml of an energy drink will complete a puzzle faster than those who drink 200 ml of water.’
实验假设（有时称备择假设）预测 IV 会对 DV 产生效应。如果先前研究提示了效应的方向，它可以是方向性的（单尾），例如：“饮用 200 毫升能量饮料的参与者完成拼图的速度将快于饮用 200 毫升水的参与者。”
A non-directional (two-tailed) hypothesis simply states there will be a difference or relationship but does not specify the direction, e.g., ‘There will be a difference in puzzle completion time between participants who drink an energy drink and those who drink water.’
非方向性（双尾）假设只陈述存在差异或关系，但不指明方向，例如：“饮用能量饮料和饮用水的参与者在拼图完成时间上存在差异。”
The null hypothesis states that any observed difference or relationship is due to chance alone. For the above example, it would be: ‘There will be no difference in puzzle completion time between participants who drink an energy drink and those who drink water; any difference is due to chance.’ Remember to always include the phrase ‘due to chance’ in a null hypothesis.
零假设陈述任何观察到的差异或关系仅由于偶然因素造成。以上例为例，应为：“饮用能量饮料与饮用水的参与者在拼图完成时间上没有差异；任何差异均为偶然所致。”请记住在零假设中始终包含“偶然所致”这一短语。
4. Experimental Designs | 实验设计
Experimental design refers to how participants are allocated to the different levels of the IV. The three main designs you must know for AQA are independent groups, repeated measures, and matched pairs.
实验设计指参与者如何被分配到不同 IV 水平。AQA 要求你必须掌握的三种主要设计是独立组设计、重复测量设计和配对组设计。
In an independent groups design, different participants are used in each condition. The main strength is that there are no order effects (such as practice or fatigue), because each participant only takes part in one condition. However, participant variables may differ between groups, and more participants are needed.
在独立组设计中，每个组使用不同的参与者。主要优势是没有序列效应（如练习或疲劳），因为每个参与者只参加一个条件。然而，各组之间的参与者变量可能不同，并且需要更多的参与者。
Repeated measures design uses the same participants in all conditions. This controls participant variables because the same people are compared with themselves. The major disadvantage is order effects; to overcome this, counterbalancing can be used. Demand characteristics may also arise, as participants might guess the purpose of the study.
重复测量设计在所有条件中使用相同的参与者。这控制了参与者变量，因为是相同的人与自身比较。主要缺点是序列效应；为克服此缺陷，可使用反平衡法。也可能出现要求特征，因为参与者可能猜到研究目的。
A matched pairs design uses different but similar participants in each condition, matched on characteristics relevant to the study (e.g., IQ, memory span). This reduces participant variables without order effects. However, matching is time-consuming and rarely perfect, and it still requires a larger sample than repeated measures.
配对组设计在每个条件中使用不同但相似的参与者，在与研究相关的特征上（如 IQ、记忆广度）进行匹配。这既减少了参与者变量，又没有序列效应。然而，匹配耗时且很少完美，而且仍然需要比重复测量更大的样本。
5. Sampling Techniques | 抽样方法
The target population is the group from which you want to draw conclusions. The sample is the subset of that population who take part. How you select the sample affects how far the findings can be generalised.
目标总体是你想从中得出结论的群体。样本是参与研究的那部分子集。你选择样本的方式会影响研究结果的推广程度。
Random sampling gives every member of the target population an equal chance of being chosen (e.g., using a random number generator). This is unbiased and likely to be representative, but obtaining a complete list of the population can be difficult.
随机抽样使目标总体中每个成员有相等机会被选中（例如使用随机数生成器）。这没有偏差且可能具有代表性，但获取总体完整名单可能很困难。
Opportunity sampling involves selecting anyone who is available and willing. This is quick and convenient, but the sample is often unrepresentative and biased because of researcher selection or volunteer basis.
机会抽样即选择任何可找到且愿意的人。这快捷方便，但样本往往因研究者选择或自愿基础而不具代表性且有偏差。
Systematic sampling selects every nth person from a list of the target population. The sampling frame must still be available, but it can still be subject to bias if the list is ordered in some relevant way.
系统抽样从目标总体的名单中每隔 n 个人选取一个。仍需有抽样框，但如果名单按某种相关方式排列，仍可能存在偏差。
Stratified sampling divides the population into key subgroups (strata) and then randomly samples from each in proportion to their occurrence in the population. This yields a highly representative sample, but it is complex and time-consuming.
分层抽样将总体划分为关键子群（层），然后按其在总体中的比例从各层随机抽样。这能产生高度代表性的样本，但复杂且耗时。
Volunteer (self-selected) sampling relies on participants responding to advertisements or invitations. It can reach a wide range of people but often attracts a certain type of volunteer, leading to a volunteer bias.
志愿者（自选）抽样依赖参与者对广告或邀请的回应。这能触及广泛人群，但往往吸引某种类型的志愿者，导致志愿者偏差。
6. Controlling Extraneous Variables | 控制额外变量
To increase validity, researchers aim to minimise the influence of extraneous variables. Several standard techniques are used in AS Psychology practical work.
为提高效度，研究者力求最大限度地减小额外变量的影响。AS 心理学实践工作中使用了几种标准技术。
Standardised procedures ensure that all participants experience exactly the same environment and instructions except for the manipulated IV. Written instructions, fixed timing, and identical materials all help to control situational variables.
标准化程序确保除被操纵的 IV 外，所有参与者体验完全相同的环境和指导语。书面指导语、固定计时和相同材料均有助于控制情境变量。
Random allocation of participants to conditions can help control participant variables in independent groups designs. Each participant should have an equal chance of being in any condition, reducing systematic differences between groups.
将参与者随机分配到各个条件有助于在独立组设计中控制参与者变量。每个参与者应有相等机会进入任何条件，从而减少组间系统性差异。
Counterbalancing is used in repeated measures designs to overcome order effects. Half the participants complete condition A then B, the other half complete B then A. This cancels out the impact of practice or fatigue on the overall results.
反平衡用于重复测量设计，以克服序列效应。一半参与者完成条件 A 再 B，另一半完成条件 B 再 A。这会抵消练习或疲劳对总体结果的影响。
Single-blind and double-blind procedures reduce demand characteristics and experimenter 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 person interacting with them know the allocated condition.
单盲和双盲程序可减少要求特征和实验者效应。在单盲研究中，参与者不知道自己处于哪个条件。在双盲研究中，参与者和与他们互动的人均不知道所分配的条件。
A control group acts as a baseline. In the simplest experiment, one group receives the experimental manipulation while the control group does not. This allows researchers to see what would happen without the IV, ruling out alternative explanations like natural improvement or the placebo effect.
对照组作为基线。在最简单的实验中，一组接受实验操纵，而对照组不。这使得研究者看到没有 IV 时会怎样，从而排除自然改善或安慰剂效应等替代解释。
7. Ethical Considerations in Practical Work | 实践工作中的伦理考量
All psychological research, including student practicals, must adhere to the British Psychological Society (BPS) ethical guidelines. In AS assessments, you are expected to identify ethical issues and suggest ways to deal with them.
所有心理学研究，包括学生实践，都必须遵守英国心理学会 (BPS) 的伦理准则。在 AS 考核中，你应能识别伦理问题并提出应对方法。
The key ethical principles include informed consent, right to withdraw, protection from physical and psychological harm, deception, and confidentiality. Researchers must ensure participants are fully aware of what they are agreeing to, unless debriefing and lack of harm justify limited deception.
关键伦理原则包括知情同意、退出权、免受生理和心理伤害、欺骗以及保密。研究者必须确保参与者完全知晓所同意的事项，除非事后说明和无伤害能证明有限的欺骗是正当的。
Informed consent means informing participants of the true aims, procedures, and any potential risks. When full disclosure is impossible, presumptive consent, prior general consent, or consent from a guardian may be sought. For under-16s, parental consent is required.
知情同意意味着告知参与者真实的目的、程序和任何潜在风险。当无法完全公开时，可寻求推定性同意、预先一般同意或监护人的同意。16 岁以下需获得父母同意。
Deception should be avoided unless scientifically justified and ethically approved. If deception is used, a thorough debrief must take place after the study, explaining the true purpose, allowing participants to ask questions, and offering them the right to withdraw their data.
应避免欺骗，除非有科学上的理由且经伦理批准。若使用了欺骗，研究后必须进行彻底的事后说明，解释真实目的，允许参与者提问，并赋予其撤回数据的权利。
Protection from harm requires that participants leave the study in no worse a state than they entered. This includes psychological distress, embarrassment, or physical discomfort. Observational studies must not intrude upon privacy.
免受伤害要求参与者在离开研究时状态不比进入时更糟。这包括心理困扰、尴尬或身体不适。观察研究不得侵犯隐私。
8. Reliability and Validity | 信度与效度
Reliability refers to the consistency of measurement. A reliable procedure yields the same results under the same conditions. Validity refers to whether the study measures what it intends to measure.
信度指测量的一致性。一个可靠的程序在相同条件下产生相同结果。效度指研究是否测量了其意图测量的东西。
Internal validity asks: are the observed changes in the DV caused only by the IV, or could other factors be responsible? High internal validity requires tight control of extraneous variables. Threats include investigator effects and demand characteristics.
内部效度问：观察到的 DV 变化是否仅由 IV 引起，还是可能有其他因素负责？高内部效度需要对额外变量严格把控。威胁包括研究者效应和要求特征。
External validity concerns the extent to which findings can be generalised to other settings, people, and times. Ecological validity is a component of external validity; laboratory experiments often have lower ecological validity than field experiments.
外部效度涉及结果能在多大程度上推广到其他情境、人群和时代。生态效度是外部效度的一个组成部分；实验室实验通常比现场实验具有更低的生态效度。
To assess reliability, researchers use test-retest (administering the same test to the same participants at two time points and correlating scores) or inter-rater reliability (two observers rating the same behaviour independently, with a high positive correlation indicating consistency).
为评估信度，研究者使用重测信度（对相同参与者在两个时间点施测并求相关）或评分者信度（两名观察者独立评定相同行为，高正相关表明一致性）。
9. Descriptive Statistics and Basic Inferential Thinking | 描述统计与基本推断思维
In the AS practical, you are not required to perform complex statistical tests, but you should understand measures of central tendency (mean, median, mode) and dispersion (range, standard deviation). You should also be aware of how to interpret a table of results and spot outliers.
在 AS 实践中，你不需要进行复杂的统计检验，但应理解集中趋势指标（平均数、中位数、众数）和离散指标（极差、标准差）。你还应知道如何解读结果表并发现异常值。
The mean is the arithmetic average and is the most sensitive measure, but it can be distorted by extreme values. The median is the middle score and is unaffected by outliers, while the mode is the most frequent score.
平均数是算术均值，是最敏感的度量，但会被极端值扭曲。中位数是中间的分数，不受异常值影响，而众数是最常出现的分数。
Range is the difference between the highest and lowest scores, useful as a quick indicator of spread. Standard deviation is a more precise measure that tells you how much scores deviate from the mean on average.
极差是最高分与最低分之差，可作为分布宽度的一个快速指标。标准差是一个更精确的度量，告诉你分数平均偏离平均数的程度。
When interpreting your own practical data, you will often compare two conditions visually (e.g., using bar charts) and consider whether the observed difference appears meaningful. Later, at A2, you will learn to use inferential tests to determine if the difference is statistically significant.
当解读自己的实践数据时，你常常会直观地比较两个条件（如使用条形图），并考虑观察到的差异是否有意义。稍后在 A2 阶段，你将学习使用推断检验判断差异是否具有统计显著性。
10. Writing Up a Practical Report | 撰写实验报告
A standard practical report follows the structure: Abstract, Introduction, Method, Results, Discussion, and References. In AS assessments, you could be asked to write sections of a report or evaluate a given write-up.
标准的实验报告遵循以下结构：摘要、引言、方法、结果、讨论和参考文献。在 AS 考核中，你可能会被要求撰写报告的若干部分或评价一份给定的报告。
The Introduction includes a literature review and states the aim and operationalised hypothesis. The Method should contain enough detail for replication. It typically has subsections: Design (type, IV, DV, controls), Participants (sample, sampling method, demographics), Apparatus/Materials, and Procedure (step-by-step).
引言包括文献回顾，并陈述目的和操作化假设。方法部分应包含足够细节以便重复。它通常有子部分：设计（类型、IV、DV、控制）、参与者（样本、抽样方法、人口统计特征）、仪器/材料以及程序（逐步说明）。
The Results section reports descriptive statistics and may include tables and graphs. Remember not to discuss the findings here – that belongs in the Discussion. The Discussion explains the findings, relates them to the hypothesis, considers limitations, and suggests modifications and wider implications.
结果部分报告描述统计，并可能包括表格和图形。记住此处不要讨论结果——那属于讨论部分。讨论解释结果，将其与假设关联，考虑局限性，并提出修改建议和更广泛的意义。
11. Common Pitfalls and Exam Tips | 常见失误与考试技巧
Many AS students lose marks by failing to operationalise variables fully. Always phrase your hypothesis so that it is clear what will be measured and how. Avoid vague terms like ‘memory’ or ‘intelligence’ without specifying the test.
许多 AS 学生因未能充分操作化变量而失分。务必使你的假设明确表明将测量什么以及如何测量。避免使用“记忆”或“智力”等模糊词汇而不指明具体测试。
When explaining the choice of experimental design, link strengths and weaknesses directly to the research context. For example, ‘An independent groups design is appropriate because we need to avoid participants guessing the aim after doing both conditions.’
在解释实验设计的选择时，将优缺点与研究背景直接关联。例如：“独立组设计是合适的，因为我们需要避免参与者在完成两个条件后猜到研究目的。”
In ethical discussions, always match an issue with a concrete resolution. Do not just state ‘deception is an issue’ – say how you would debrief participants and offer the right to withdraw data. Refer back to the BPS guidelines where possible.
在伦理讨论中，始终用一个具体的解决方案来对应问题。不要只是说“欺骗是一个问题”——说明你如何对参与者进行事后说明并提供撤回数据的权利。可能的话参照 BPS 准则。
For your own practical investigation, keep meticulous records. Examiners value clear, raw data tables and honest evaluation of limitations. Do not overclaim – phrases like ‘this proves…’ are inappropriate; instead use ‘the findings suggest…’ or ‘support the hypothesis’.
对于你自己的实践调查，要保留细致的记录。考官看重清晰的原始数据表格和对局限性的诚实评价。不要过度声称——像“这证明了……”这样的措辞不妥；应使用“研究结果表明……”或“支持假设”。
12. Quick Revision Checklist | 快速复习清单
Run through this checklist before your assessment:
考核前快速浏览这份清单：
1. Can I identify the IV, DV, and at least one extraneous variable in a given study?
1. 我能否在给定研究中识别 IV、DV 和至少一个额外变量？
2. Can I write a directional and non-directional hypothesis, and a null hypothesis with ‘due to chance’?
2. 我能否写出方向性和非方向性假设，以及带有“偶然所致”的零假设？
3. Do I know the strengths and weaknesses of independent groups, repeated measures, and matched pairs designs, and how to overcome their limitations?
3. 我是否了解独立组、重复测量和配对组设计的优缺点，以及如何克服其局限性？
4. Can I describe sampling methods, their advantages, and their disadvantages?
4. 我能否描述抽样方法及其优缺点？
5. Have I planned what ethical issues might arise in my practical and how I will address them?
5. 我是否已计划好实践中可能出现的伦理问题以及如何处理？
6. Am I able to suggest improvements to a study’s validity and reliability?
6. 我能否对一项研究的效度和信度提出改进建议？
7. Can I write a clear, concise Method section that another student could follow?
7. 我能否写出一个清晰、简洁的方法部分，使其他同学能按此操作？
By consistently linking these concepts to real examples, you will build confidence for both the written exam and the practical endorsement. Consistent practice with past papers and self-evaluation of your own studies is the most effective revision strategy.
通过不断地将这些概念与真实例子联系起来，你将为笔试和实践认可建立信心。持续练习历年真题并对自己的研究进行自我评估是最有效的复习策略。
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