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Aims and Hypotheses
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Research Methods – Building an Experiment
In this course, Dr Eoin O’Sullivan explores a range of topics related to the research process in psychology. In the first lecture, we think about what is often the first step in building an experiment – establishing aims and hypotheses. In the second lecture, we move on to understand the people who will be a part of the study by exploring sampling and populations, specifically the benefits and drawbacks of different methods of sampling. In the third lecture, we explore the ‘gold standard’ in psychological research – the experiment, with the three main types being discussed and compared. Next, we consider an alternative to an experiment – the observation, covering within it, ad libitum, scan, and focal sampling, as well as continuous and time sampling methods. In the fifth and final lecture, we review the function and importance of a pilot study.
Glossary:
Hypothesis – A hypothesis is a clear and specific statement about some fact, behaviour, or relationship. It states an expected outcome resulting from specific conditions or assumptions, often in the context of independent and dependent variables.
Experimental Hypothesis – An experimental hypothesis (also known as an alternative hypothesis) posits that a study will find meaningful differences between the groups or conditions under investigation.
Null Hypothesis – A null hypothesis posits that a study will find no meaningful differences between the groups or conditions under investigation.
Two-Tailed Hypothesis – A two-tailed hypothesis (non-directional hypothesis) posits that one experimental group will differ from another, but without specifying the expected direction of the difference.
One-Tailed Hypothesis – A one-tailed hypothesis (directional hypothesis) posits that one experimental group will differ from another and specifies the expected direction of the difference.
Random Sampling – Random sampling is a process for selecting a sample from a population, such that each individual has the same fixed probability of being included in the sample.
Stratified Sampling – Stratified sampling is a process for selecting a sample from a population comprised of various subgroups (strata), in such a way that all of the subgroups are represented fairly.
Opportunity Sampling – Opportunity sampling is any process for selecting a sample of individuals that is neither random nor systematic, but instead is governed by chance or availability, e.g., interviewing the first 50 people to exit a shop about their experience.
Laboratory Experiment – Scientific study conducted in a laboratory or other such workplace, where the investigator has some degree of control over the environment and can manipulate the independent variable(s).
Field Experiment – A study conducted outside of the lab in a 'real-world' setting.
Naturalistic Experiment – Data collection in a field setting, without laboratory controls or manipulation of variables. These procedures are usually carried out by a trained observer, who watches and records the behaviour of participants in their natural setting.
Within-Subjects Design – Also known as a repeated measures design, within which the effects of treatments are seen through the comparison of scores from the same participant observed under all of the experimental conditions.
Between-Subjects Design – Also known as an independent groups design, within which participants are assigned to only one of the experimental conditions and each person provides only one score for data analysis.
Matched-Pairs Design – A derivative of the between- subjects design involving two participant groups in which each member of one group is paired with a similar participant from the other group(s). Participants may be 'similar' if they share one or more characteristics that are not the main focus of the study but could still influence the outcome.
Order Effects – In a within-subjects design, order effects are the influence of the order in which treatments are administered or tasks are completed. This can result in performance differences between participants which are not due to variables of interest to the study. This can be combatted through counterbalancing.
Observational Study – The experimenter passively observes the behaviour of the participants without any attempt at intervention or manipulation of any observed behaviours. These typically occur under naturalistic conditions, rather than through random assignment to experimental conditions.
Ad Libitum (Ad Lib) Sampling – No systematic constraints are placed on what is recorded or when. The observer records whatever they can see and that they think is relevant at the given time (opportunistic observation).
Focal Sampling – The observer chooses one individual or specific group upon which to focus, recording only their behaviour for the duration of the observation.
Scan Sampling – The behaviour of an observed group is 'scanned', meaning that it is recorded without a focus on one specific group and without the freedom to record behaviours at any given time.
Continuous Sampling – Where an observer records every occurrence of a behaviour in a given time period.
Time Sampling – Where an observer records behaviours at prescribed intervals e.g. every 2 minutes.
Ceiling Effect – A phenomenon whereby participants achieve nearly (or actually) the highest possible score on a test, decreasing the potential for a relationship between the independent variable and the test score (the dependent variable) to be reported.
Aims and Hypotheses
In this lecture, we think about aims and hypotheses, focusing in particular on: (i) the importance of following the scientific process when investigating in psychology; (ii) Albert Bandura’s ‘Bobo Doll study’ as a demonstration of the function and importance of a study’s aim; (iii) the general aim developing into the hypothesis, described as a clear and specific statement about what you predict from your research design, to help you achieve and understand your aim; (iv) the distinction between the experimental hypothesis and the null hypothesis; (v) the relationship between hypotheses and statistics, elaborating on the importance of differentiating between one- and two-tailed hypotheses.
Hypothesis – A hypothesis is a clear and specific statement about some fact, behaviour, or relationship. It states an expected outcome resulting from specific conditions or assumptions, often in the context of independent and dependent variables.
Experimental Hypothesis – An experimental hypothesis (also known as an alternative hypothesis) posits that a study will find meaningful differences between the groups or conditions under investigation.
Null Hypothesis – A null hypothesis posits that a study will find no meaningful differences between the groups or conditions under investigation.
Two-Tailed Hypothesis – A two-tailed hypothesis (non-directional hypothesis) posits that one experimental group will differ from another, but without specifying the expected direction of the difference.
One-Tailed Hypothesis – A one-tailed hypothesis (directional hypothesis) posits that one experimental group will differ from another and specifies the expected direction of the difference.
Hello. My name is Owen O'Sullivan.
00:00:07I'm an associate lecturer at the University of ST Andrews.
00:00:09And today, in this lecture, I'm going to talk about themes and hypotheses.
00:00:12So to start going to remind you that psychology is
00:00:18a science and a scientific topic follows the scientific process.
00:00:22So that process is kind of circular.
00:00:27We observe something in the world, and we might have a question about it.
00:00:29A question about how people behave or why people do certain things.
00:00:33Um,
00:00:37so once we make that observation that we want to study as we want to learn more about it
00:00:37And so we develop an aim we want. Our aim is to understand that thing more.
00:00:42We use hypotheses, uh,
00:00:48to make specific predictions that help us test our questions.
00:00:50We go out into the world, we collect some data.
00:00:54Once we've collected our data, we analyse it and interpret it.
00:00:56And this allows us to develop theories or richer
00:01:00understandings of phenomena and the ways that people think,
00:01:03and the ways that people behave.
00:01:07And so, in this circular research process,
00:01:09we now are going to talk about aims and hypotheses.
00:01:12So when beginning a study, you need to have a kind of broad aim.
00:01:17What is the main thing you want to achieve from a piece of research?
00:01:21So an aim is this overarching goal of the project that you are starting to design.
00:01:25It will often be written or presented in terms of the topic
00:01:30that you're interested in or the theory that you're attempting to test.
00:01:34So the best way of explaining a name is to think of an example.
00:01:38So I'm going to use an example from the history of psychological research.
00:01:43I'm going to talk about Albert Pandora and his social learning experiments.
00:01:48Bandara conducted a range of experiments in around the
00:01:5319 sixties to understand how Children learned certain behaviours.
00:01:56In particular, he was interested in how Children learned aggressive behaviours.
00:02:02Now, around this time in psychology,
00:02:07psychologists were very interested in how people learned.
00:02:09But there was a focus on individual learning
00:02:12how we learned through our own experience.
00:02:14But Pandora observed that that's not how humans learn all the time.
00:02:17We also learn from other people's experiences
00:02:22by observing how other people behave,
00:02:24and so so in his experiments,
00:02:27Albert Pandora had an aim to understand
00:02:30how Children learned socially about aggressive behaviours.
00:02:34So here you can see the aim is quite general.
00:02:38It is overarching,
00:02:42and through that aim he can conduct a number of different research
00:02:43studies to better understand how Children
00:02:47learn aggressive behaviours from others.
00:02:50So in his experiments he designed some very
00:02:53neat little studies where he recruited Children.
00:02:56And he, um, he got them to observe the behaviour of adults interacting with a toy.
00:02:59That toy was famously called the Bobo doll.
00:03:07And so he observed,
00:03:10adults or the Children observed adults interacting with the Bobo doll.
00:03:11And some Children observed the adults interacting
00:03:16with the doll in an aggressive manner,
00:03:19kicking and punching.
00:03:21Or they're different Children,
00:03:22observed adults interacting with the Bobo doll in a neutral manner.
00:03:24Uh, not in any way, uh, interacting with adult in an aggressive way
00:03:28and so on. And so, through this method, Bandara wanted to understand
00:03:33whether that would have an impact on the Children's behaviour,
00:03:38and the Children would interact with that dull at a later time point.
00:03:41And so with that experimental setup, Bandara developed a hypothesis.
00:03:45So too,
00:03:50so a hypothesis is a clear and specific statement about what you predict
00:03:51from your research design from your theory and that you have developed beforehand.
00:03:57It will help you achieve your aim.
00:04:02It will help you to better understand and that particular idea or theory,
00:04:04and in comparison to a name, it is a lot more specific.
00:04:09It is presented in the context of the things
00:04:13that you are changing and manipulating in your study
00:04:15and the things that you're looking at in terms of an outcome.
00:04:18More specifically,
00:04:22is often phrased in the context
00:04:23of independent variables and the dependent variables
00:04:25thinking about the the Pandora example, the social learning experiment.
00:04:28What Pandora is manipulating is the experience of
00:04:32the Children before they interact with the doll.
00:04:35What he changes is whether the Children see an adult interacting with
00:04:38the doll in an aggressive manner or in a non aggressive manner.
00:04:42So that's the independent variable what they socially observe.
00:04:46Later on, he will measure, or he measured
00:04:50the Children the Children's behaviour when they were interacting with the dull,
00:04:53and he specifically measured the amount of aggressive
00:04:58behaviours that the child performed on the doll.
00:05:00So that was the dependent variable.
00:05:03And so from this research design and
00:05:06when thinking about these specific behaviours,
00:05:08Bandara proposed a specific prediction hypothesis.
00:05:11This prediction was
00:05:15that
00:05:17we would expect that Children that observed the
00:05:18aggressive adult models will behave in a more
00:05:20aggressive manner towards the dolls in comparison to
00:05:23the Children that didn't observe the aggressive adults.
00:05:28So here we have a very specific prediction couched
00:05:31in terms of the independent and dependent variables.
00:05:35Now here I have presented something that's called an experimental hypothesis.
00:05:39Another term for this is the alternative hypothesis.
00:05:43This hypothesis predicts that there will
00:05:46be a relationship between your variables,
00:05:49that there will be an effect something will be going on,
00:05:51that there will be a difference between the two conditions in this case,
00:05:54the Children that saw the aggressive model and the Children that saw the neutral,
00:05:57the aggressive behaviour
00:06:01and the behaviour that was more neutral.
00:06:02But alongside this alternative hypothesis, we have a null hypothesis,
00:06:05and this hypothesis states that there
00:06:10will be no relationship between the variables
00:06:11that there'll be no difference between the two groups that you have changed.
00:06:14And now you may ask,
00:06:17why do we use the null hypothesis when you
00:06:19can kind of infer it from the alternative hypothesis
00:06:20and the reason we use the null hypothesis is because the maths that we use the
00:06:24statistics we use to test our hypotheses are
00:06:29based upon this concept of the non hypothesis.
00:06:32And so you may learn about null hypothesis testing at a later stage.
00:06:35But for now,
00:06:39it's just important to know that the null
00:06:40hypothesis is that specific prediction that there is
00:06:42nothing going on in your study that there
00:06:45is no relationship between your two variables.
00:06:47While the alternative hypothesis
00:06:50is the statement that there is a relationship between your two variables,
00:06:52another thing we need to think about when we've got when we're
00:06:56presenting our hypothesis is whether it is one tailed or two tailed,
00:06:59UH, two tailed hypothesis is also called a non directional hypothesis.
00:07:03It states that if there is a relationship, it will occur in a particular way.
00:07:08So in the example I discussed about Pandora and we could predict
00:07:13that there will be a difference in aggressive behaviour acted towards the dull
00:07:19based upon whether the Children observed the
00:07:23aggressive interaction or the non aggressive interaction,
00:07:26and we could make that prediction without assuming that
00:07:29one group would be more or less aggressive.
00:07:31That's a two tailed hypothesis.
00:07:34You're making a prediction that there would be a difference between your groups,
00:07:36but you're not stating in which way that difference will exist.
00:07:39However,
00:07:43the difference that I did or the hypothesis I
00:07:44did present earlier was a one tailed hypothesis.
00:07:46We predicted that Children that observed the adults
00:07:50behaving in an aggressive way that those Children would
00:07:53themselves behave in a more aggressive manner towards
00:07:56the doll in comparison to the other Children.
00:07:59So there is a direction in that prediction.
00:08:02We expect one group to perform more of a
00:08:04particular behaviour or perform differently to the other group.
00:08:07Now it's important that these one tailed hypotheses
00:08:11are based on theory or previous observations.
00:08:13We can't just pluck them out of the air,
00:08:16but they are important because they do inform the types of
00:08:18analyses that we will conduct after we've collected our data.
00:08:21So I hope that they're in those examples.
00:08:25You've got a clear idea of what an aim of a research project is
00:08:28and the different types of hypotheses we
00:08:31used to make predictions in our research studies
00:08:33
Cite this Lecture
APA style
O'Sullivan, E. (2021, November 17). Research Methods – Building an Experiment - Aims and Hypotheses [Video]. MASSOLIT. https://massolit.io/courses/research-methods-building-an-experiment/aims-and-hypotheses
MLA style
O'Sullivan, E. "Research Methods – Building an Experiment – Aims and Hypotheses." MASSOLIT, uploaded by MASSOLIT, 17 Nov 2021, https://massolit.io/courses/research-methods-building-an-experiment/aims-and-hypotheses