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Questions and Answers
What does the independent variable do in a study?
What does the independent variable do in a study?
Drives the study, it is the variable of interest, the reason for the study, and the variable that is manipulated.
What is the dependent variable expected to do?
What is the dependent variable expected to do?
Change, and the change is due to the influence of the independent variable.
What is a case report similar to?
What is a case report similar to?
What are the two groups in a case-control study?
What are the two groups in a case-control study?
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What is a cross-sectional study?
What is a cross-sectional study?
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What is the goal of a descriptive study?
What is the goal of a descriptive study?
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What is correlational research used for?
What is correlational research used for?
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What is the purpose of a randomized control study?
What is the purpose of a randomized control study?
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What is a meta-analysis?
What is a meta-analysis?
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What is internal validity?
What is internal validity?
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What does deductive reasoning do?
What does deductive reasoning do?
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Who provides primary sources?
Who provides primary sources?
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What are secondary sources?
What are secondary sources?
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What does the peer review processes do?
What does the peer review processes do?
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What is the acceptance rate?
What is the acceptance rate?
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What is the MAXICON principle?
What is the MAXICON principle?
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What is the research population?
What is the research population?
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What are inclusion criteria?
What are inclusion criteria?
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What does a power analysis do?
What does a power analysis do?
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What is a random sample?
What is a random sample?
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What is a convenience sample?
What is a convenience sample?
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What is a stratified random sample?
What is a stratified random sample?
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What is a systematic sample?
What is a systematic sample?
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What are assumptions?
What are assumptions?
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What is a delimitation?
What is a delimitation?
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What are the two general approaches to collecting data?
What are the two general approaches to collecting data?
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What are open-ended questions?
What are open-ended questions?
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What is a Linkert scale?
What is a Linkert scale?
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Why are questionnaires a good, quick method of gathering data?
Why are questionnaires a good, quick method of gathering data?
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What is a common use of interviews?
What is a common use of interviews?
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What is a focus group?
What is a focus group?
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What is a structured interview?
What is a structured interview?
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What is measurement validity?
What is measurement validity?
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What is face validity?
What is face validity?
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What is criterion validity?
What is criterion validity?
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What is construct validity?
What is construct validity?
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What is measurement reliability?
What is measurement reliability?
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What are three reasons which contribute to low stability reliability (poor reliability) of measurements?
What are three reasons which contribute to low stability reliability (poor reliability) of measurements?
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What is one reason for high stability reliability (high reliability) of measurements?
What is one reason for high stability reliability (high reliability) of measurements?
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What is nominal data?
What is nominal data?
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What is ratio data?
What is ratio data?
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What is parametric data?
What is parametric data?
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What are frequency distributions?
What are frequency distributions?
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What is the mean?
What is the mean?
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What is the standard deviation?
What is the standard deviation?
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What is percentile rank?
What is percentile rank?
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What is Pearson's r?
What is Pearson's r?
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What is a positive correlation?
What is a positive correlation?
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What is considered a strong, moderate, and weak correlation (know the r values)?
What is considered a strong, moderate, and weak correlation (know the r values)?
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What is the null hypothesis?
What is the null hypothesis?
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What is the alpha level?
What is the alpha level?
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Study Notes
Research Methods Summary
- Independent Variable: The variable manipulated in a study; the presumed cause.
- Dependent Variable: The variable measured in a study; the presumed effect.
- Case Report: Detailed description of one or more cases.
- Case-Control Study: Compares two groups: one with an outcome and a control group without the outcome.
- Cross-Sectional Study: A snapshot of a population at a specific point in time; often uses surveys.
- Descriptive Study: Describes characteristics of a population; commonly uses surveys and questionnaires to gather data.
- Correlational Study: Examines the relationship between variables, potentially for prediction. Positive and negative correlations exist
- Randomized Control Trial (RCT): Used to test interventions or treatments by randomly assigning participants to different groups.
- Meta-Analysis: Combines the results of multiple studies investigating similar variables to determine overall effect size.
- Internal Validity: The extent to which the study design ensures that only the independent variable affected the dependent variable.
- External Validity: The extent to which the study findings can be generalized to other populations or settings.
- Deductive Reasoning: Uses theories or general principles to understand specific cases; GENERAL → SPECIFIC
- Inductive Reasoning: Uses specific observations to develop general theories; SPECIFIC → GENERAL
- Primary Sources: Original reports or documents written by the individuals who conducted the research.
- Secondary Sources: Summaries or reviews of research studies performed by individuals other than the original researchers.
- Peer Review Process: A process to evaluate the quality of research findings in a research article before publication. Journals may have acceptance rates of 15-20%.
- MAXICON Principle: Maximize true variance and minimize error variance in study findings.
- Research Population: The entire group of individuals or elements the researcher is interested in.
- Inclusion Criteria: Specific characteristics that study participants must possess to be included.
- Exclusion Criteria: Specific characteristics that prevent study participants from being included.
- Power Analysis: Calculates the required sample size to detect a significant effect of the independent variable on the dependent variable.
- Random Sample: Ensures that every member of the population has an equal chance of being selected.
- Convenience Sample: Participants are selected based on convenience for the researcher.
- Stratified Random Sample: Ensures that subgroups in the population are proportionally represented.
- Systematic Sample: Every nth individual from a list of the population is selected.
- Assumptions: Essential beliefs or ideas that must be accepted as true during a study.
- Delimitations: Choices made by the researcher that narrow the scope of the study.
Data Collection Approaches
- Surveys vs. Direct Measures
- Open-Ended Questions: Allow for respondent-created answers; less structured.
- Closed-Ended Questions: Provide specific response options; more structured.
- Likert Scales: Provide a continuum of responses for measuring attitudes or opinions.
- Questionnaires: Provide efficient methods for gathering data from multiple individuals.
- Interviews: Gather data through direct interaction with participants (structured, semi-structured, or focused groups)
Measurement Validity
- Face Validity: Does the test appear to measure what it claims?
- Content Validity: Does the test cover all important aspects of the concept being measured?
- Criterion Validity: Does the test correlate with an external standard?
- Construct Validity: Does the test accurately measure the underlying concept?
Measurement Reliability
- Reliability: Refers to the consistency of a measure; the degree to which the study produces similar results under the same conditions.
- Poor Reliability: Participant variation, variation in the measurement instrument, variation in the person administering the test.
- High Reliability: Memory effect could be a reason for artificially high results
Data Types
- Nominal Data: Categorical data without inherent order (e.g., gender, political affiliation).
- Ordinal Data: Categorical data with inherent order (e.g., ranking).
- Interval Data: Numerical data with equal intervals between values; zero does not represent absence.
- Ratio Data: Numerical data with a true zero representing absence.
- Parametric Data: Statistical tests used with interval and ratio data.
- Nonparametric Data: Statistical tests used with nominal and ordinal data.
Descriptive Statistics
- Frequency Distributions: Summarizes how often different values occur.
- Mean: The average of a set of numbers.
- Median: The middle value in a sorted set of numbers.
- Mode: The most frequent value in a set of numbers.
- Range: The difference between the highest and lowest values.
- Standard Deviation: Measures the spread of scores around the mean.
- Percentile Rank: Indicates a person's position within a group based on their score.
Inferential Statistics
- Pearson's r (Correlation Coefficient): Measures the strength and direction of the relationship between two variables. A correlation coefficient can be interpreted as a strong, moderate or weak positive relationship.
- Positive Correlation: Both variables increase or decrease together.
- Negative Correlation: One variable increases while the other decreases.
- Null Hypothesis: States that there is no difference between groups or no relationship between variables.
- Alpha Level: Predetermined probability of making a Type I error (rejecting a true null hypothesis).
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Description
This quiz covers essential research methods used in psychology, including various study designs such as case control, cross-sectional, and randomized control trials. It explores the differences between independent and dependent variables, as well as the importance of descriptive and correlational studies. Test your understanding of these foundational concepts in research methodologies.