GCSE Eduqas Psychology: Key Points for Experimental and Practical Assessment | GCSE Eduqas 心理学：实验与实践考核要点

📚 GCSE Eduqas Psychology: Key Points for Experimental and Practical Assessment | GCSE Eduqas 心理学：实验与实践考核要点

In the GCSE Eduqas Psychology course, understanding experimental methods and practical investigation skills is essential for success in both the exam and the non-exam assessment components. You must be able to design, conduct, analyse and evaluate psychological research. This revision guide covers the key concepts, terminology and procedural knowledge required to tackle experimental and practical assessment questions confidently.

在GCSE Eduqas心理学课程中，理解实验方法和实践研究技能对于考试和非考试评估部分都至关重要。你必须能够设计、实施、分析和评估心理学研究。本复习指南涵盖了你需要掌握的关键概念、术语和流程知识，帮助你自信应对实验与实践考核题目。

1. The Role of Experiments in Psychology | 实验在心理学中的角色

Experiments are the most powerful tool psychologists have to establish cause-and-effect relationships between variables. By manipulating an independent variable (IV) and measuring the dependent variable (DV) while controlling other factors, researchers can draw conclusions about what causes changes in behaviour or mental processes.

实验是心理学家建立变量间因果关系的最有力工具。通过操纵自变量（IV）并测量因变量（DV），同时控制其他因素，研究者可以得出关于是什么导致行为或心理过程变化的结论。

GCSE Eduqas requires you to understand the purpose of experiments, how they differ from other research methods (such as observations or correlations), and why they are often preferred when testing hypotheses.

GCSE Eduqas要求你理解实验的目的、它们与其他研究方法（如观察法或相关法）的区别，以及为什么在检验假设时实验常常是首选。

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2. Identifying and Operationalising Variables | 识别与操作化变量

The independent variable (IV) is the factor that the researcher deliberately changes or manipulates. The dependent variable (DV) is the factor that is measured to see if the IV has had an effect. To conduct a valid experiment, both the IV and DV must be operationalised—stated in a clear, measurable way. For example, if you study the effect of noise on memory, you could operationalise ‘noise’ as ’70 dB white noise via headphones’ and ‘memory’ as ‘number of words correctly recalled from a 20-word list’.

自变量（IV）是研究者有意改变或操纵的因素。因变量（DV）是被测量的因素，以观察IV是否产生了影响。要实施有效的实验，IV和DV都必须进行操作化定义——以清晰、可测量的方式陈述。例如，如果你研究噪音对记忆的影响，你可以将“噪音”操作化为“通过耳机播放的70分贝白噪声”，将“记忆”操作化为“从20个单词列表中正确回忆出的单词数量”。

Any other variable that could influence the DV is an extraneous variable. If not controlled, they can become confounding variables and lower the internal validity of the study.

任何其他可能影响DV的变量都是额外变量。如果不加以控制，它们就可能成为混淆变量，降低研究的内部效度。

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3. Types of Experiments | 实验类型

There are several types of experiment, each with its own strengths and weaknesses.

实验有多种类型，每种都有其优缺点。

• Laboratory experiments are conducted in a controlled, artificial environment. They allow high control over variables and easy replication, but may lack ecological validity because the setting is unlike real life.

• 实验室实验在受控的人工环境中进行。它们允许对变量的高度控制且易于复制，但可能缺乏生态效度，因为环境与现实生活不同。

• Field experiments are carried out in a natural setting. The IV is still manipulated, but the environment is real. This increases ecological validity, but there is less control over extraneous variables.

• 现场实验在自然环境中实施。仍然操纵IV，但环境是真实的。这提高了生态效度，但对额外变量的控制较少。

• Natural experiments involve a naturally occurring IV, such as a flood or a change in law. The researcher does not directly manipulate the IV, so cause-and-effect conclusions are weaker, but they allow us to study variables that cannot be manipulated for ethical or practical reasons.

• 自然实验涉及自然发生的IV，如洪水或法律变化。研究者不直接操纵IV，因此因果结论较弱，但它们允许研究那些因伦理或实际原因而不能操纵的变量。

• Quasi-experiments have an IV that is a pre-existing difference between people (e.g., age, gender). The IV is not randomly assigned, which means participant variables may confound results.

• 准实验的IV是参与者之间预先存在的差异（例如，年龄、性别）。IV不是随机分配的，这意味着参与者变量可能会混淆结果。

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4. Experimental Designs | 实验设计

Experimental design refers to how participants are allocated to different conditions of the IV. Three main designs are used.

实验设计指的是参与者如何被分配到IV的不同条件。主要使用三种设计。

Independent groups design: Different participants take part in each condition. Advantage: no order effects (practice, fatigue). Disadvantage: participant variables between groups may bias results; more participants are needed.

独立组设计：不同的参与者参加每个条件。优点：无顺序效应（练习、疲劳）。缺点：组间的参与者变量可能造成偏差；需要更多参与者。

Repeated measures design: The same participants are used in all conditions. Advantage: participant variables are controlled. Disadvantage: order effects can occur, and participants may guess the aim, leading to demand characteristics.

重复测量设计：相同的参与者用于所有条件。优点：参与者变量得到控制。缺点：可能产生顺序效应，并且参与者可能猜到目的，导致需求特征。

Matched pairs design: Participants are paired based on key characteristics, then one from each pair is assigned to each condition. Advantage: reduces participant variables and avoids order effects. Disadvantage: time-consuming and difficult to match perfectly.

配对组设计：参与者根据关键特征进行配对，然后每对中的一个人被分配到每个条件。优点：减少参与者变量并避免顺序效应。缺点：耗时且难以完美匹配。

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5. Formulating Hypotheses | 形成假设

A hypothesis is a precise, testable prediction about the outcome of an experiment. GCSE Eduqas expects you to write both experimental (alternative) and null hypotheses.

假设是关于实验结果的精确、可检验的预测。GCSE Eduqas要求你能够写出实验（备择）假设和零假设。

The experimental hypothesis states there will be a difference (or relationship) between conditions. It can be directional (one-tailed) if you predict the direction of the difference, e.g., ‘Participants recall more words in silence than in noise,’ or non-directional (two-tailed) if you simply predict a difference without stating the direction, e.g., ‘There will be a difference in word recall between silent and noisy conditions.’

实验假设陈述条件之间将存在差异（或关系）。如果你预测差异的方向，它可以是有方向的（单尾），例如“在安静条件下参与者回忆的单词比在噪音条件下更多”，或者如果你只预测有差异而不指明方向，则是无方向的（双尾），例如“安静和噪音条件下单词回忆存在差异”。

The null hypothesis predicts there will be no difference (or no relationship), and any observed difference is due to chance.

零假设预测将没有差异（或没有关系），任何观察到的差异都是由于偶然因素造成的。

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6. Sampling Techniques | 抽样技术

Sampling is how participants are selected from a target population. The method used affects how representative the sample is.

抽样是从目标人群中选择参与者的方式。所用方法影响样本的代表性。

• Random sampling: Every member of the target population has an equal chance of being selected. Highly representative but difficult to achieve in practice.

• 随机抽样：目标人群中的每个人都有相等的被选中的机会。代表性高，但在实践中难以实现。

• Opportunity sampling: Participants are chosen from those who are available and willing. Quick and easy, but often unrepresentative and biased.

• 机会抽样：从那些可用且愿意的人中选择参与者。快捷简便，但往往缺乏代表性且有偏见。

• Stratified sampling: The population is divided into subgroups (strata) and participants are randomly selected from each in proportion. Very representative but complex.

• 分层抽样：将人口分为子群体（层），然后按

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