Unit 1: Evaluating Experiments Flashcards

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1
Q

Define confounding variables and give examples

A

Confounding variables are undesirable variables that influence the relationship between the independent and dependent variables

Ex: demand characteristics, researcher bias, participant variability

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2
Q

What are some ways of controlling researcher bias?

A

Researchers can use blind control.

Single blind: participants don’t know what the study is about

Double blind: both the participants and the experimenter don’t know what the condition is

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3
Q

What is the reactivity effect?

A

Individuals alter their performance or behaviour due to the awareness that they are being observed

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4
Q

What is validity and reliability?

A

Validity questions if the research does what it claims to. Reliability asks if the results can be replicated

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5
Q

What is construct validity and what are the questions that it may ask?

A

Construct validity characterises the quality of operationalisations. It asks:

Does the research measure what it claims to? (Validity)
What are the potential issues with the operationalisation of the IV and DV?

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6
Q

What is ecological validity?

A

Ecological validity is the extent to which the setting in which the setting takes place is capable of producing results that are valid

Ecological validity is if the study represents what happens in real life. It is NOT just to say it’s done in a lab = lacks ecological validity. It asks if the lab can predict what would happen in the field?

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7
Q

What is mundane realism? How does this different from ecological validity?

A

Mundane realism asks how artificial it is. A study high in artificiality has low mundane realism.

Memorisation of a random lists of words - low mundane realism
Retelling story = higher mundane realism

Ecological validity is not the same as mundane realism. Sometimes even it may still accurately predict what will happen outside of the lab, but when the study has high mundane realism, it perhaps is more likely to accurately predict

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8
Q

What is internal validity?

A

Internal validity characterises the methodological quality of the experiment. It’s internal validity is high when confounding variables have been controlled and can be certain that the iv caused change in dv.

The less bias, the higher the internal validity

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9
Q

Evaluating findings

A

Evaluating findings is asking if the study has any practical applications, which is how a theory or empirical study is used

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10
Q

What is generalisability

A

This asks if the findings of the study can be applied to everyone based on the population validity

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11
Q

What are the questions to ask when evaluating the study?

A
  1. Aim of study
  2. Who made up the sample - population
  3. Can findings be applied successfully to real liras situations
  4. Was it conducted in lab or natural setting
  5. Were participants asked to do things that are far form real life
  6. Are the findings supported of questioned by findings of other studies
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12
Q

Internal validity threats or limitations

A
  1. Demand characteristics
    - participants understand purpose of experiment and change their behaviour to fit that interpretation
    - behaves in the way the experimenter wants them to
    - use post experimental questionnaires
    - larger in repeated measures
  2. Experiment bias
    - research unintentionally exerts an influence on results
    - use double blind design
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13
Q

What is participant variability

A

This is when characteristics of the sample affect the dependent variable. This can be controlled by selecting a random sample

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14
Q

Define psychology

A

Psychology is the systematic study of behaviour and mental processes

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15
Q

What is a lab experiment?

A

A lab experiment is a controlled scientific investigation conducted in a laboratory setting, where researchers manipulate and control variables to study cause-and-effect relationships.

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16
Q

Field experiment

A

A field experiment is a scientific study conducted in a real-world, natural setting rather than a controlled laboratory environment, with researchers manipulating and measuring variables to understand real-life phenomena

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17
Q

Natural experiment

A

A natural experiment is a research study in which researchers take advantage of naturally occurring situations or events to investigate the effects of variables without direct manipulation.

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18
Q

Independent variable

A

The independent variable is the variable that researchers intentionally manipulate or change in an experiment to observe its impact on the dependent variable.

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19
Q

Dependent variable

A

The dependent variable is the variable that researchers measure and observe for changes as a result of the manipulation of the independent variable.

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20
Q

Operationalise

A

Operationalize refers to the process of defining and measuring abstract or complex concepts in a way that allows them to be quantified and studied in a research context.

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21
Q

Experiment/research hypothesis

A

An experiment or research hypothesis is a testable statement or prediction about the expected outcome of a research study, often based on prior knowledge or theory.

22
Q

Null hypothesis

A

The null hypothesis is a statement in a research study that suggests no significant effect or relationship between variables, serving as a basis for comparison with the research hypothesis.

23
Q

Control condition

A

A control condition is a group or setting in an experiment where the independent variable is not manipulated, serving as a baseline or comparison group to assess the effects of the experimental condition.

24
Q

Case study

A

A case study is an in-depth and detailed examination of an individual, group, or phenomenon, often involving multiple sources of information, to gain insights into specific psychological issues or situations.

25
Q

Observation (covert/overt)

A

Observation is a research method where researchers systematically watch and record behaviors. Covert observation is conducted without the subject’s awareness, while overt observation is done with the subject’s knowledge and consent.

26
Q

Interview (structured, semi-structured, unstructured)

A

Interviews are a method of data collection involving direct communication with participants. Structured interviews have predetermined questions and a fixed format, semi-structured interviews have some flexibility in question order and wording, and unstructured interviews allow for open-ended, free-form conversations.

27
Q

Focus group

A

A focus group is a qualitative research method where a small group of participants discusses specific topics or issues, guided by a moderator, to explore a range of perspectives and insights.

28
Q

Questionnaires

A

Questionnaires are structured sets of questions or statements used to gather standardized data from participants. They can be administered in person, by mail, online, or through other means.

29
Q

Participant bias

A

Participant bias refers to the influence participants may have on research results due to their own beliefs, expectations, or behaviors. Researchers aim to minimize participant bias to obtain more objective data.

30
Q

Ethical considerations in Psychology

A

Essential principles and guidelines that researchers and practitioners must adhere to in order to ensure the well-being, rights, and dignity of individuals involved in psychological research and practice.

Informed consent, confidentiality, minimising harm, deception, debriefing etc.

31
Q

Aim

A

The aim of a research study or experiment is a clear and concise statement of the primary goal or objective of the research. It specifies what the researcher intends to investigate or achieve through the study. The aim helps to focus the research and provides a sense of purpose.

32
Q

Target population

A

The target population refers to the specific group of individuals or elements that the researcher intends to study or make conclusions about. It is the larger group to which the study’s findings are meant to apply. For practical reasons, researchers often select a sample from the target population to study, as studying the entire population may be impractical or too costly.

33
Q

Procedure

A

The procedure outlines the step-by-step method or process followed in a research study or experiment. It describes how the research was conducted, including the recruitment of participants, data collection methods, data analysis procedures, and any other relevant details. A well-documented procedure ensures that the study can be replicated by others.

34
Q

Findings/results

A

The findings or results of a research study are the outcomes or data collected during the research process. This includes any patterns, trends, relationships, or statistical information that was discovered as a result of the research. Findings are typically presented in a clear and organized manner, often using tables, graphs, and statistical analyses. Researchers interpret these findings to draw conclusions and discuss their implications in the context of the study’s aim.

35
Q

Participant variability

A

Participant variability refers to the natural differences or variations among individuals within a study’s sample or population. These differences can include factors like age, gender, personality traits, and previous experiences. Researchers need to consider participant variability when interpreting study results.

36
Q

Generalizability

A

Generalizability is the extent to which the findings of a research study can be applied or generalized to a larger population beyond the specific sample that was studied. A study is considered more generalizable if the sample is representative of the population of interest.

37
Q

Credibility

A

Credibility in research refers to the believability, trustworthiness, and accuracy of the study’s findings. Credible research is conducted using rigorous methods, appropriate data collection techniques, and transparent reporting to ensure that the results can be trusted and accepted by the scientific community.

38
Q

Confounding variables

A

Confounding variables are extraneous factors or variables that can influence the relationship between the independent and dependent variables in a study, leading to inaccurate or misleading conclusions. Researchers need to control for or account for these variables to ensure the validity of their results.

39
Q

Demand characteristics

A

Demand characteristics are cues or subtle hints within a research study that may lead participants to infer the purpose or expected outcomes of the study. These cues can unintentionally influence participant behavior and responses, potentially affecting the study’s validity.

40
Q
A
41
Q

Single-blind control

A

Single-blind control is an experimental design in which the participants are unaware of certain aspects of the study, such as whether they are in the experimental group or the control group. This helps reduce the influence of demand characteristics.

42
Q

Double-blind control

A

Double-blind control is an experimental design in which both the participants and the experimenters (researchers) are unaware of certain critical aspects of the study, such as the treatment or condition to which each participant is assigned. This minimizes experimenter bias and demand characteristics.

43
Q

Bidirectional ambiguity

A

Bidirectional ambiguity refers to situations where it is unclear whether one variable causes changes in another or whether the relationship is more complex. In such cases, the direction of causation is uncertain, and researchers must be cautious when interpreting the results

44
Q

Ecological validity

A

Ecological validity refers to the extent to which the findings of a study can be applied and generalized to real-world or natural settings. It assesses whether the experimental conditions and context of the study accurately reflect the situations and environments where the studied behavior or phenomenon naturally occurs.

45
Q

Internal validity

A

Internal validity assesses the degree to which the observed effects or relationships in a study are truly caused by the manipulated independent variable and not by other extraneous factors. Maintaining high internal validity helps ensure that the study’s conclusions are accurate and that the observed effects are genuine.

46
Q

External validity

A

External validity examines the extent to which the findings of a study can be generalized beyond the specific sample and context in which the research was conducted. It assesses whether the results can be applied to other populations, settings, or situations.

47
Q

Reliability

A

Reliability refers to the consistency, stability, and reproducibility of research findings or measurements. In other words, it assesses whether the results can be consistently replicated by different researchers or through repeated measurements. Reliable research produces consistent results over time.

48
Q

Cross-cultural validity

A

Cross-cultural validity refers to the extent to which research findings and psychological theories can be applied across different cultural groups. It assesses whether the concepts, measurements, and conclusions from psychological research hold true in diverse cultural contexts, without cultural bias.

49
Q

Participant bias

A

Participant bias, also known as participant expectancy or experimenter expectancy effect, occurs when participants in a research study consciously or unconsciously alter their behavior or responses based on their expectations of what the researcher wants or the perceived purpose of the study. This can lead to skewed results if participants do not behave or respond naturally.

50
Q

Social desirability bias

A

Social desirability bias is a type of response bias where participants in a research study provide responses that they believe are socially acceptable or desirable, rather than expressing their true beliefs, feelings, or behaviors. This bias can lead to the underreporting of socially undesirable behaviors or the overreporting of socially desirable ones.

51
Q

Research bias,

A

Research bias, also known as experimenter bias or observer bias, occurs when researchers unintentionally or consciously influence the outcomes of a study due to their own beliefs, expectations, or behaviors. This bias can affect the validity of the research results.

52
Q

Reactivity

A

Reactivity, in the context of research, refers to the phenomenon where participants alter their behavior or responses when they are aware that they are being observed or studied. This awareness of being observed can lead to changes in behavior that do not accurately represent their usual actions or attitudes, potentially affecting the study’s validity.