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Revision notes on 7.2.2 Hypothesis for the AQA A Level Psychology syllabus, written by the Psychology experts at Save My Exams.
- Falsifiability
- How to Write A Hypothesis
- What Are Examples of A Hypothesis?
The Falsification Principle, proposed by Karl Popper, is a way of demarcating science from non-science. It suggests that for a theory to be considered scientific it must be able to be tested and conceivably proven false. However many confirming instances there are for a theory, it only takes one counter observation to falsify it. For example, the h...
1. To write the alternative and null hypotheses for an investigation, you need to identify the key variables in the study.The independent variable is manipulated by the researcher and the dependent...2. Operationalized the variablesbeing investigated.Operationalisation of a hypothesis refers to the process of making the variables physically measurable or testable, e.g. if you are about to study...3. Decide on a direction for your prediction. If there is evidence in the literature to support a specific effect on the independent variable on the dependent variable, write a directional (one-tai...4. Write your hypothesis. A good hypothesis is short (i.e. concise) and comprises clear and simple language.Let’s consider a hypothesis that many teachers might subscribe to: that students work better on Monday morning than they do on a Friday afternoon (IV=Day, DV=Standard of work). Now, if we decide to study this by giving the same group of students a lesson on a Monday morning and on a Friday afternoon and then measuring their immediate recall on the ...
Mar 10, 2024 · The aims outline the overarching goals or purposes of the study, while the hypotheses propose specific predictions or explanations to be tested. Together, they help researchers stay focused, establish clear objectives, and frame the inquiry systematically and organised.
Nov 4, 2018 · One-tailed hypothesis tests are also known as directional and one-sided tests because you can test for effects in only one direction. When you perform a one-tailed test, the entire significance level percentage goes into the extreme end of one tail of the distribution.
A directional or one-tailed hypothesis predicts the direction in which change is expected to occur. It is used when previous research has suggested the direction of change. It is precise and uses words such as: faster/slower, bigger/smaller, more/less etc.
The most common null hypothesis test for this type of statistical relationship is the t test. In this section, we look at three types of t tests that are used for slightly different research designs: the one-sample t test, the dependent-samples t test, and the independent-samples t test.
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To find out what critical value is to be used, the researcher needs to know the probability level, the number of participants, and whether the hypothesis was one-tailed (directional) or two-tailed (non-directional).
