Psychology Research Methods Guide
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Questions and Answers

What needs to be clearly identified when constructing a questionnaire?

The aim of the questions and what type of data needs to be collected at the end of the study.

Which of the following is NOT a measure of central tendency?

  • Mean
  • Median
  • Standard Deviation (correct)
  • Mode

A pilot study is conducted to ensure that the experiment works and that the variables are well controlled.

True (A)

What is one of the main limitations of a case study?

<p>Data collected from a case study may not be generalizable to other people.</p> Signup and view all the answers

What is a correlational analysis?

<p>A correlational analysis investigates the strength of the relationship between two variables.</p> Signup and view all the answers

Which of the following is NOT considered a type of reliability in research?

<p>Concurrent validity (D)</p> Signup and view all the answers

A non-directional hypothesis states exactly what the researcher expects to find, including the pattern of the results.

<p>False (B)</p> Signup and view all the answers

What does it mean when a research study lacks external validity?

<p>It means the results of the study cannot be generalized to other populations or real-world settings.</p> Signup and view all the answers

Which of the following sampling methods involves selecting participants based on who is available at the time of the study?

<p>Opportunity sampling (A)</p> Signup and view all the answers

What is the purpose of a 'screw you' effect in research?

<p>Participants deliberately sabotage the research because they do not want the study to work.</p> Signup and view all the answers

Which of the following is NOT a potential problem that can occur when running research?

<p>Random allocation into groups (B)</p> Signup and view all the answers

Flashcards

Research Methods

The systematic techniques used to collect and analyze data in psychology, focusing on how people think, behave, and why they act in certain ways.

Informed Consent

Participants must be fully informed about the study's purpose, procedures, risks, and benefits before agreeing to take part.

No Deception

Participants should not be misled about the true nature of the study. If deception is necessary, full debriefing is required.

No Harm

Participants must be protected from physical or psychological harm during the study. Support must be offered if harm occurs.

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Right to Withdraw

Participants can leave the study at any time, even after starting, and can request their data be removed.

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Confidentiality

Participants' identities must be kept secret, usually using pseudonyms, initials, or numbers.

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Privacy

Researchers should only collect data that they have specific consent for, respecting participants' personal spaces.

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Debriefing

A session after the study where participants are informed of the true purpose, explained deception, and reminded of their right to withdraw.

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Presumptive Consent

Gathering consent from a similar group of individuals to assume consent from the actual participants.

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Cause and Effect

Establishing that a change in one variable (IV) directly leads to a change in another (DV), without influence from uncontrolled factors.

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Extraneous Variables

Factors that could potentially influence the dependent variable but are not the independent variable, such as temperature, noise, or lighting.

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Confounding Variables

Uncontrolled variables that have impacted the dependent variable, making it unclear if the change is due to the independent variable or something else.

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Repeated Measures Design

One group of participants completes all tasks or conditions, comparing their own performance on each.

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Independent Groups Design

Different groups of participants, each completing only one specific task or condition.

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Matched Pairs Design

Participants are paired based on similar characteristics, with each member of a pair completing a different task.

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Order Effects

Possible changes in participant performance due to the order of tasks, such as boredom, fatigue, or practice.

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Counterbalancing

Controlling for order effects by splitting participants into groups and having them complete tasks in different orders, balancing the impact.

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Pilot Study

A mini-version of the experiment conducted before the main study, testing the design and identifying potential issues.

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Hypothesis

A testable prediction about what the researcher expects to find in a study, written as a statement, not a question.

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Directional Hypothesis

A hypothesis that specifies the exact direction of the expected difference or relationship.

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Non-Directional Hypothesis

A hypothesis that predicts a difference or relationship but does not specify the direction.

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Null Hypothesis

A hypothesis stating that there will be no difference or relationship between variables in the study.

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Operationalisation

Defining variables in a specific and measurable way, making them clear and understandable.

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Correlational Hypothesis

A prediction about the relationship between two or more variables, without implying cause and effect.

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Association

A connection between different categories, not implying cause and effect, like the relationship between birth order and career choice.

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Observation

A technique used to record behavior directly in a natural or controlled environment, with different design factors to consider.

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Lab Observation

An observation conducted in a controlled environment, allowing manipulation of variables.

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Natural Observation

An observation conducted in the real world, without manipulation of variables.

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Participant Observation

An observation where the researcher actively joins the group being observed.

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Non-Participant Observation

An observation where the researcher observes from a distance, without actively participating.

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Covert Observation

An observation where the researcher is hidden and not visible to the participants, for more natural behavior recordings.

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Overt Observation

An observation where the researcher is visible to the participants, who know they are being observed.

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Hawthorne Effect

The tendency of participants to change their behavior simply because they know they are being observed.

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Episodic Sampling

Recording data during observation by creating behavior categories and tallying the occurrence of each category.

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Interval Sampling

Recording data during observation by noting what is happening at predetermined time intervals.

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Inter-observer Reliability

The consistency of data recordings between two or more observers, calculated using correlation analysis.

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Content Analysis

A technique for analyzing recorded information, such as media or documents, identifying categories and tallying their frequency.

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Thematic Analysis

Analyzing qualitative data to identify and summarize the key themes present in written or recorded information.

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Case Study

An in-depth investigation of a single individual, often exhibiting unique behavior or circumstances.

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Meta-analysis

Combining data from several different studies to create a larger data set for reanalysis, enhancing the power of the research.

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Longitudinal Study

A study that tracks changes over an extended period of time, often years or decades, showing how variables evolve.

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Sample

A smaller group of individuals selected from a larger population, representing the target group for the study.

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Representative Sample

A sample that accurately reflects the characteristics of the target population, allowing for generalizability.

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Random Sampling

A technique where each individual in the target population has an equal chance of being selected.

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Opportunity Sampling

A technique where participants are selected based on their availability at the time of the study.

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Volunteer Sampling

A technique where participants are selected from those who volunteer to take part.

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Systematic Sampling

A technique where participants are selected using a regular interval, such as every 10th or 20th person on a list.

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Stratified Sampling

A technique where participants are selected proportionally based on specific groups or subgroups within the target population.

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Generalisability

The extent to which the results of a study can be applied to other populations or settings.

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Descriptive Statistics

A set of techniques used to summarize and describe data, providing an overview of the findings.

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Quantitative Data

Numerical data that uses numbers or measurements.

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Qualitative Data

Non-numerical data that uses words, descriptions, or observations to provide detailed information.

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Primary Data

Data collected directly by the researcher for their own study, providing high internal validity.

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Secondary Data

Data collected by someone else and used by the researcher, providing a quick and cheap source of information.

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Mean

The average of a set of data, calculated by summing all values and dividing by the total number of values.

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Median

The middle value in a set of data, calculated by arranging values in order and finding the center.

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Mode

The most frequent value in a set of data.

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Standard Deviation

A measure of how spread out data is, indicating how much individual values deviate from the mean.

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Range

The difference between the highest and lowest values in a set of data.

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Normal Distribution

A symmetrical distribution of data, forming a bell-shaped curve, with the mean, median, and mode all at the peak.

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Skewed Distribution

A distribution of data where one tail is longer than the other, indicating an uneven distribution of values.

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Positive Skew

A skewed distribution where the tail is longer on the right side, indicating more extreme values on the higher end.

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Negative Skew

A skewed distribution where the tail is longer on the left side, indicating more extreme values on the lower end.

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Bar Chart

A graph that uses bars to represent frequencies or differences between groups or categories.

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Scatter Graph

A graph that shows the relationship between two covariables, representing the strength and direction of the relationship.

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Contingency Table

A table used to display frequencies of categories, often used in Chi-square tests to analyze relationships.

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Histogram

A graph that uses bars to represent frequencies of continuous data, where bars are adjacent, showing the distribution of values.

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Internal Validity

The extent to which the research measures what it intends to measure, ensuring accurate testing of the hypothesis.

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External Validity

The extent to which the research findings can be generalized to other populations, situations, or settings.

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Face Validity

A quick check of whether the research appears to measure what it intends to measure, based on surface level appearance.

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Concurrent Validity

Comparing a new research technique or tool with an existing, validated method to see if they produce comparable results.

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Test-retest Reliability

Repeating a research method on the same participants with a time gap to see if the results are consistent.

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Split-half Method

Comparing the results of two halves of a research technique, such as a questionnaire or exam, to see if they are consistent.

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Inter-rater Reliability

The consistency of data recordings between two or more raters or observers, calculated using correlation analysis.

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Demand Characteristics

Cues or hints in a study that participants pick up on and try to change their behavior to fit what they think the researcher is looking for.

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Experimenter Bias

The researcher unconsciously influencing the results of the study to support their hypothesis.

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Good Participant Effect

Participants knowingly try to please the researcher by behaving in ways that confirm the researcher's hypothesis.

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Screw You Effect

Participants deliberately trying to sabotage the research by behaving in ways that contradict the researcher's hypothesis.

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Ratio

A comparison of two quantities, often reduced to its simplest form.

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Order Of Magnitude

A way of expressing very large numbers by indicating the number of decimal places needed to make it a number between 1 and 10.

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TAIMpedpRDR

An acronym to remember the order of sections in a psychological report: Title, Abstract, Introduction, Method, Participants, Results, Discussion, References.

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Study Notes

Research Methods Study Guide

  • This guide covers the core research methods in psychology.
  • Half of Paper 2, and up to a third of the overall marks, in the Psychology A-level are dedicated to research methods.
  • The scientific method is used to collect and analyze data in psychology.
  • Psychology, like biology and physics, uses theories to predict and explain behavior.
  • A wide range of research methods will be covered.
  • Experiments, Observations, Self-report, Correlational analysis, Content analysis, Thematic analysis, Meta-analysis, and Case Studies are among the methods.

Ethics

  • The British Psychological Society (BPS) guidelines dictate the ethical treatment of participants.
  • Informed consent is mandatory; participants must provide consent.
  • Deception should only be permissible if there is a justifiable reason to avoid bias and the study's validity.
  • Participants must be debriefed after the study.
  • Participants must be protected from harm (physical and psychological).
  • Confidentiality and participant privacy must be respected.

Experimental Designs

  • Repeated measures design: One group of participants completes all tasks
  • Independent groups design: Different groups complete different tasks.
  • Matched pairs design: Pairs of participants are carefully matched on relevant variables.
  • Natural experiments: Researchers observe naturally occurring events or phenomena
  • Quasi-experiments: Use pre-existing or naturally occurring variables as the independent variable. These studies may not able to establish causality.

Hypotheses

  • A hypothesis is a testable prediction about the outcome of a study.
  • Hypotheses are statements (not questions) that predict what will occur in a study.
  • Directional hypotheses predict the direction of the difference or relationship.
  • Non-directional hypotheses merely predict that a difference or relationship exists.
  • Null hypotheses state that no significant relationship or effect exists in the study.

Types of Observations

  • Lab observations: Controlled environment for high control but low ecological validity
  • Naturalistic observations: Real-world setting, high ecological validity but low control.
  • Participant observations: Researchers participate in the observation
  • Non-participant observations: Researchers do not participate in the observation.
  • Covert observations: Participants unaware of observation
  • Overt observations: Participants aware of observation

Observational Sampling Methods

  • Episodic sampling: Recording behavior each time it occurs
  • Event sampling: Recording a specific behavior within a set timeframe

Content Analysis

  • This is a technique for analyzing the content of written or recorded material.
  • It is useful for understanding themes and patterns in the data.

Thematic Analysis

  • It's a technique that identifies and analyzes recurring themes in qualitative data.

Case Studies

  • Detailed analysis of an individual or small group of individuals.
  • Useful when investigating a unique or rare phenomenon.

Correlational Studies

  • Examines the relationship between two or more variables.
  • Positive correlation: Both variables change in the same direction
  • Negative Correlation: Variables change in opposite directions.
  • Correlation coefficient - R: A measure of correlation strength ranging from -1 (perfect negative) to +1 (perfect positive)
  • Scattergraph/plots: Used to visualize the relationship between two variables

Self-Report Methods (Surveys)

  • Questionnaires and Interviews.
  • Strengths: Cheap, quick, easy to repeat, access diverse perspectives
  • Weaknesses: Low response rate, potential bias, difficult for detailed views
  • Question Types: Closed (yes/no, multiple choice, likert scales), Open-ended (free form)
  • Interviews: Structured (sets questions), Semi-structured (some pre-set questions), Unstructured (flexible follow-up questions)

Sampling Techniques

  • Random: Each member has an equal chance of selection
  • Opportunity: Participants are selected as they are available.
  • Volunteer: Participants self-select to participate. Can be influenced by bias.
  • Systematic: Selecting participants at fixed intervals from a list.
  • Stratified: Ensures the sample proportionally represents the target population.

Types of Validity

  • Internal Validity: Did the study measure what it intended to measure?
  • External Validity: Can the results be generalized to other populations or settings?
  • Predictive Validity: Testing correlation of a measure to a future outcome
  • Concurrent Validity: Assessing whether a new measure is correlated with an existing valid measure.
  • Face Validity: Does the measure appear to be measuring what it intends to measure?

Reliability

  • Test-retest Reliability: Consistency of a measure over time
  • Inter-observer reliability: Agreement between two or more observers

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Description

This study guide provides an overview of various research methods used in psychology, crucial for A-level students. It includes essential information about ethical guidelines, the scientific method, and specific research techniques like experiments and observations. Understanding these concepts is vital for successful research in psychology.

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