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Psychology chapter 1
1A, 1B, 1G
| Question | Answer |
|---|---|
| Scientific research | Ideas and theories generated through observation and experiment -testable |
| Non scientific research | Ideas formed without empirical evidence or the use of scientific methods or principles. -vague and based off beliefs |
| Aim | A statement outlining the purpose of an investigation |
| Variable | A condition or component of an experiment that can be measured (dv), manipulated. (IV) or controlled |
| Independent Variable | The variable that the researcher manipulates its quantities and is assumed to have a direct effect on the dependent variable |
| Dependent variable | The variable the researcher measures for changes it may experience due to the effect of the independent variable. |
| Hypothesis | A testable prediction that identifies the population, the strength and direction of a relationship between two variables. |
| Hypothesis structure | begins with: its is hypothesized that..., then the independent variable mixed with the sample, then the strength/direction eg lowered or increased, then the dependent variable and finish it off with a comparison of the control group (IV) |
| Population | The group of people that are the focus of the research to which findings from the sample can be generalised to. |
| Experiment | When a cause-and-effect relationship between two variables is measured in a controlled environment. |
| Controlled experiment | *the most popular type of experiment An experimental investigation that measures the relationship between one or more independent variables and a dependent variable, whilst controlling for all other variables. |
| Strengths of a controlled experiment | 1. identify a cause and effect relationship between an IV and DV 2.can be repeated to test repeatability and produce more data 3.can be generalized |
| Limitation of a controlled experiment | 1.conditions need to be strict and may be difficult to maintain 2.it may be unethical or impossible to conduct this experiment on a certain variable 3.particpiants behavior may be influenced by the artificial nature of the experiment |
| Extraneous variable | Any variable that is not the independent variable, but may cause an unwanted effect on the dependent variable. eg time of day, demographic, gender, age, setting |
| Controlled variable | Variables other than the IV that a researcher holds constant (controls) in an investigation, to ensure that changes in the DV are solely due to changes in the IV |
| Control group | The group of participants who receive no experimental treatment or intervention to serve as a baseline for comparison. |
| Experimental group | The group of participants exposed to a manipulated independent variable. |
| 3 main ways to design a controlled experiment (experience the control and experimental conditions) | between subject design, within subject design, mixed subject design |
| Between Subject Design | An experimental design in which individuals are divided into either the control or the experimental condition |
| Strengths of the between subject design | 1.most time efficient as both can be tested at the same time and no pre testing is required 2.lower rates of participant withdrawal as they only need to complete one condition 3.more control of participants prior knowledge of the study |
| Limitations of between subject design | 1.more participants are needed 2.less control of the extraneous variable between groups, which lowers valid |
| Within subject design | an experimental design that involves all participants in the sample completing both the experimental and control conditions |
| Strengths of within subject design | 1.no extraneous variable of participant variables between groups therefore improving validity 2.fewer participants are needed |
| Limitation of within subject design | 1.less control of participants knowledge of the study, the extraneous variable of prior knowledge in the first condition may influence their behavior when completing the second condition 2.more time consuming 3.higher rate of participant withdrawal |
| Mixed Subject design | an experimental design that involves a combination of a between subject and within subject design |
| Strengths of mixed subject design | 1.testing multiple IV can be time and cost efficient 2.can test the effect of multiple IVs on DV in one investigation |
| Limitation of mixed subject design | 1.higehr rate of participation withdrawal 2.less control of prior knowledge as the prior knowledge gained from the first condition may influence the second condition |
| Reasons to not want to do a controlled experiment | lack of time and resources, unsure of what variables need to be tested, unable to manipulate variables due to ethics, the phenomenon is rare, tool eg surveys need to be made |
| Case Studies | an in depth investigation of a particular activity, behavior, event or problem that contains a real or hypothetical situation and includes real world complexities |
| strengths of case studies | 1.limited number of participants available 2.used when experiences are unethical or impossible to conduct a controlled experiment 3.rich qualitive data 4.act as a basis for further research |
| Limitations of case studies | 1. one person or a small group does can not be representative of a population, therefore can not be generalized 2.researcher bias may influence the recording of data 3. may not be repeatable to gain reliability 4. time consuming |
| Classification | the arrangement of a phenomena, objects or events into manageable sets |
| Identification | then recognizing phenomena as belong to a particular set or being part of a new or unique set |
| Strength of classification and identification | 1.classifications can help to create predictions 2.efficient for processing large amounts of information |
| Limitations of classification and identification | 1.labelling through identification can lead to stereotyping, prejudice or discrimination 2.classification may be based on subjective criteria 3. large amounts of info are needed for classification |
| Correlation Study | A study involving researchers planned observation and recoding of events to measure the relationship between two or more variables without any active control or manipulation. |
| how is the strength of a correlational relationship measured | measured by statistical tests |
| Strength of correlational studies | 1.to determine the direction and strength of a relationship between IV and DV 2.observation of real life behaviors with no manipulation can create more natural results 3.extra procedures to control the extraneous variables are unnecessary |
| limitations of the correlational study | 1.correlation doesn't equal or imply causation 2.a large amount of data is required 3.low internal validity due to no control of extraneous variables |
| fieldwork | is a type of investigation methodology that involves collecting information by observing and interacting with a selected environment that is often a real life setting than a controlled laboratory setting |
| fieldwork participation observation | requires the researcher becoming an active participant in the group that is being studied, either in a disguised way or in an overt way. |
| fieldwork direct observation and sampling | involves watching and recording participant behaviour, including how they interact with their environment, typically without interference or intervention from the researcher. |
| fieldwork interviews, focus groups or yarning circles | involve self-report methods where the participant responds to questions and statements about the way they think, feel and behave. |
| strengths of fieldwork | 1.information of sensitive topics can be obtained 2.large amount of quantitive data can be gathered 3.participants anonymity can reduce bias 4.natural settings influence real life behavior 5. no change in behavior due to participants being unaware of |
| limitations of fieldwork | 1.observed behavior is subjective 2. data from questionaries, circles etc may be dishonest 3.time consuming 4.ethical concerns due to the lack of concent |
| literature review | review involves collating and analyzing secondary data findings and/or viewpoints THEY DO NOT PRESNT NEW RESEARCH |
| strengths of literature review | 1.help introduce existing understanding 2.identify gaps in current understanding 3.identify methodologies that have been successful or not successful |
| Limitations of literature review | 1.selection bias in the chosen studies creates unbalanced conclusions 2.dont comment on the validity of the original research 3. only secondary data is required |
| modelling | an investigation methodology that involves constructing and/or manipulating a physical or conceptual model of a system. |
| simulation | uses the model to replicate and study the behavior of a real or theoretical system. |
| strengths of modelling and simulation | 1.modelling can allow unobservable events to be visualized 2.safely studies new devices, therapies and treatments that would be too dangerous or unethical 3.can test a product before it is created |
| limitations of modelling and simulation | 1.large amount of valid data may be needed to create a model 2.complex models and simulations may be expensive 3. simulations are not real and people may actually respond differently in real life |
| Product, process and system development | Product, process and system development in psychological research involves the design of an artefact, a process or a system to meet a human need. |
| ethical concepts | The broad, moral guiding principles that people should consider when conducting research, practice, or examining a psychological issue. |
| 5 key ethical concepts | beneficence, non maleficence, integrity, justice, respect |
| Beneficence | the consideration of the benefits or gains from research in relation to the risks. Do the possible advantages of my research outweigh the negatives? |
| Non-maleficence | the idea that any potential harm should be avoided and minimised as much as possible. Will my research cause anyone harm? How severe is this harm and is it truly necessary? |
| Integrity | the commitment to search for knowledge, and then honestly report information and findings. Is my research going to be biased? Am I searching for the truth or am I trying to be ‘right’? |
| Justice | the distribution of fair access to the benefits of research to everyone, ensuring that there is no burden on one group, and ensuring that any opposing claims are considered. Will my research unfairly disadvantage or advantage one specific group? |
| Respect | the belief that everyone has value in regards to their welfare and beliefs, and has a right to make their own decisions. Am I respecting the autonomy of those involved? Have I respected the culture, beliefs, and perspectives of those involved? |
| ethical guidelines | The procedures and principles used to ensure that participants are safe and respected. |
| 6 ethical guidelines | Voluntary participation, informed consent, withdrawal rights, debriefing, deception, confidentiality (very inspiring women dont drink coffee) |
| Voluntary participation | participants must willingly and freely sign up to be involved in research. |
| Informed consent | participants must understand the nature and purpose of the study, including any risks. |
| Withdrawal rights | participants may leave the study at any time, including removing already obtained results |
| Debriefing: | participants are informed of the aims, results and conclusions of the study and are provided with psychological support as needed. |
| Deception | participants must know the purpose of the study, unless it will influence their behaviour in the research. If deception is used, it must be addressed during debriefing. |
| Confidentiality | participants’ privacy should be protected, and no identifying information should be included in the research. |
| sample | the participants selected from the population, who participate in the investigation, should be representative of the population therefor larger samples are better and minimize variables that could influence results |
| random sampling | selecting participants from the population in a wat that each member of the population has an equal chance of being selected to participate in the study eg a teacher drawing student names from a hat |
| + & - of random | + a large enough amount is likely to be representative of the population - can be time consuming, impossible or unethical to obtain names of all member |
| stratified sampling | a technique were the population is first divided into subgroups and participants are randomly selected from each subgroup in the proportion that they appear in the population eg a school study where students are grouped by grade |
| + & - of stratified | +important subgroups of a population are ensured fair representation - it is more time consuming that using random sampling becuase of the need to form subgroups pre testing |
| extraneous variable | are variables other than the independent variable that may have an unwanted effect on the dependent variable and results |
| confounding variable | extraneous variables that are not controlled can become confounding variables. these are unwanted variables that affect the DV and it becomes impossible to know if the IV or the confounding variable caused the change of the DV |
| types of confounding variables | participant related variables( the unique combo of characteristics, bio, psycho, social) non standardized instructions (instructions are not the same for everyone), order effects (performance is influenced by the order of the tasks given) |
| types of confounding variable pt 2 | experimenter bias (experimenter influence participants performance), placebo effects, situational variables (the environments effects the participants behavior), demand characteristics (cues in an experiment that ay signal the intent of the study) |
| ways to prevent confounding variable | sampling size, experimental design choice, counterbalancing ( reduce order effects by ordering experimental conditions in a certain way), single and double blind procedures |
| single blind procedures | participants are unaware of the experimental condition they have been allocated to |
| double blind procedures | both participants and experimenter are unaware of the experimental conditions participants have been allocated to |
| validity | whether a measurement measures what it is supposed to be measuring |
| internal validity | refers to a study investigating what it sets out or claims to investigate (investigation design, sampling and the effect of extraneous and confounding variables can affect this) |
| external validity | refers to whether the results of the research can be applied to similar individuals in a differnet setting (if none than can not be generalized) |
| measurement errors | the difference between the measured value and the true valise of what is being measured |
| systematic errors | affect the accuracy of a measurement by causing readings to differ from the true value by a consistent amount |
| random errors | affect the precision of a measurement by creating unpredictable variations in the process |