Su's & chat gpt's collab questions = pls examen the answers critically Flashcards

1
Q

What is the purpose of empirical research methods?
A) To develop a hypothesis
B) To test existing theories
C) To gather data through observation and experimentation
D) To establish causality

A

C) To gather data through observation and experimentation
B) defintily also is right - as data serves to uphold to undermine theories. A Hypothesis = a theory driven prediction.

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2
Q

Which stage of the empirical research cycle involves forming a research question?
A) Data collection
B) Data analysis
C) Literature review
D) Problem formulation

A

D) Problem formulation

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3
Q

What is the difference between a theory and a hypothesis?
A) A theory is a well-established explanation for a phenomenon, while a hypothesis is a proposed explanation that needs further testing
B) A hypothesis is a well-established explanation for a phenomenon, while a theory is a proposed explanation that needs further testing
C) A theory and a hypothesis are the same thing
D) There is no difference between a theory and a hypothesis

A

A) A theory is a well-established explanation for a phenomenon, while a hypothesis is a proposed explanation that needs further testing

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4
Q

What is one of the types of empirical research methods?
A) Qualitative research
B) Quantitative research
C) Both A and B
D) Neither A nor B

A

C) Both A and B

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5
Q

What is the purpose of sampling in research?
A) To study the entire population
B) To make inferences about a population based on a smaller, representative sample
C) To eliminate bias in the research process
D) To simplify the data analysis process

A

B) To make inferences about a population based on a smaller, representative sample

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6
Q

What is an operational definition in research?
A) A definition that explains the underlying theory behind a concept
B) A precise, specific definition of a variable or concept that is used in a study
C) A general, subjective definition of a variable or concept
D) A definition that is only relevant to a particular research study

A

B) A precise, specific definition of a variable or concept that is used in a study

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7
Q

What are the four scales of measurement in research?
A) Nominal, ordinal, interval, ratio
B) Nominal, ordinal, continuous, categorical
C) Ordinal, interval, ratio, categorical
D) Nominal, ordinal, ratio, continuous

A

A) Nominal, ordinal, interval, ratio

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8
Q

What is the purpose of evaluating measures (validity and reliability) in research?
A) To increase the generalizability of a study’s results
B) To simplify the data analysis process
C) To eliminate bias in the research process
D) To ensure that the measures used in a study are accurate and trustworthy

A

D) To ensure that the measures used in a study are accurate and trustworthy
C) is also partially right (think: interrater reliability and the fact that bad validity can be a product of biases)

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9
Q

What is a measure of central tendency in statistics?
A) A value that summarizes a set of data by representing the middle or average of the data
B) A value that summarizes a set of data by representing the spread or variation of the data
C) A value that summarizes a set of data by representing the maximum or minimum of the data
D) A value that summarizes a set of data by representing the frequency of the data

A

A) A value that summarizes a set of data by representing the middle or average of the data

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10
Q

What is a measure of variability in statistics?
A) A value that summarizes a set of data by representing the middle or average of the data
B) A value that summarizes a set of data by representing the spread or variation of the data
C) A value that summarizes a set of data by representing the maximum or minimum of the data
D) A value that summarizes a set of data by representing the frequency of the data

A

B) A value that summarizes a set of data by representing the spread or variation of the data

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11
Q

What is a distribution in statistics?
A) A graphical representation of a set of data that shows the frequency of each value or range of values in the data
B) A graphical representation of the relationship between two variables in a set of data
C) A numerical summary of a set of data that describes the central tendency, variability, and shape of the data
D) A statistical model that describes the relationship between two or more variables

A

A) A graphical representation of a set of data that shows the frequency of each value or range of values in the data

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12
Q

Why is plotting data important in statistics?

A) To simplify the data analysis process
B) To make inferences about a population based on a sample
C) To visualize the distribution and relationships within a set of data
D) To eliminate bias in the research process

A

C) To visualize the distribution and relationships within a set of data

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13
Q

What is the purpose of hypothesis testing in statistics?
A) To determine whether a relationship between variables exists in a population based on sample data
B) To determine the cause-and-effect relationship between variables
C) To determine the reliability and validity of a measure
D) To describe the properties of a population, such as its mean, standard deviation, and distribution

A

A) To determine whether a relationship between variables exists in a population based on sample data

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14
Q

What is the purpose of inferential statistics?
A) To describe the properties of a population, such as its mean, standard deviation, and distribution
B) To determine whether a relationship between variables exists in a population based on sample data
C) To determine the cause-and-effect relationship between variables
D) To determine the reliability and validity of a measure

A

B) To determine whether a relationship between variables exists in a population based on sample data

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14
Q

What is the purpose of inferential statistics?
A) To describe the properties of a population, such as its mean, standard deviation, and distribution
B) To determine whether a relationship between variables exists in a population based on sample data
C) To determine the cause-and-effect relationship between variables
D) To determine the reliability and validity of a measure

A

B) To determine whether a relationship between variables exists in a population based on sample data

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15
Q

What is a meta-analysis in statistics?
A) A statistical analysis that combines the results of multiple studies to provide a more comprehensive understanding of a research question
B) A statistical analysis that determines the reliability and validity of a measure
C) A graphical representation of the relationship between two variables in a set of data
D) A statistical model that describes the relationship between two or more variables

A

a

16
Q

Which of the following is a key factor in designing a high-quality questionnaire?
A) Including open-ended questions
B) Asking personal and sensitive questions
C) Allowing respondents to skip questions
D) Using technical language

A

a

17
Q

What is the definition of amplitude in the context of oscillatory signals?
A) The maximum deviation from the mean value of the signal
B) The speed at which a wave travels
C) The number of complete cycles of a wave in a given unit of time
D) The degree to which a wave deviates from a straight line

A

a

18
Q

What is the definition of frequency in the context of oscillatory signals? – cycles per time
A) The maximum deviation from the mean value of the signal
B) The speed at which a wave travels
C) The number of complete cycles of a wave in a given unit of time
D) The degree to which a wave deviates from a straight line

A

c

19
Q

What is the definition of phase in the context of oscillatory signals?
A) The position of a wave relative to a reference point at a specific time
B) The maximum deviation from the mean value of the signal
C) The speed at which a wave travels
D) The number of complete cycles of a wave in a given unit of time

A

a

20
Q

What is the basic principle behind Magnetic Resonance Imaging (MRI)?
A) Measuring the reflection of radio waves off of tissues
B) Detecting changes in electromagnetic fields in response to magnetic stimulation
C) Measuring the flow of blood in the brain
D) Detecting differences in X-rays passing through tissues

A

b

21
Q

8) What is the main advantage of Magnetic Resonance Imaging (MRI) over other imaging modalities like X-ray or CT?
A) Higher resolution images
B) Ability to visualize soft tissues
C) Non-invasive procedure
D) All of the above

A

d

21
Q

8) What is the main advantage of Magnetic Resonance Imaging (MRI) over other imaging modalities like X-ray or CT?
A) Higher resolution images
B) Ability to visualize soft tissues
C) Non-invasive procedure
D) All of the above

A

d

22
Q

How does a Magnetic Resonance Imaging (MRI) scanner work?
A) A strong magnetic field is generated to align the hydrogen atoms in the body, and radio waves are used to knock the atoms out of alignment. The resulting signals are detected and used to create images.
B) X-rays are passed through the body and the resulting shadows are captured to create images.
C) Ultrasound waves are passed through the body and the resulting echoes are captured to create images.
D) Gamma rays are passed through the body and the resulting shadows are captured to create images.

A

a

23
Q

What is the purpose of Motion Correction in Magnetic Resonance Imaging (MRI)?
A) To correct for errors caused by the subject’s movement during the scan
B) To improve the quality of the images produced by the MRI scanner
C) To enhance the sensitivity of the MRI scan to detect neural activity
D) To reduce the amount of time required to complete an MRI scan

A

a

24
Q

What is a Rigid Body Transformation in the context of Magnetic Resonance Imaging (MRI)?
A) A method for correcting for subject movement during the scan
B) A mathematical technique used to align two or more images of the same object
C) A process for improving the signal-to-noise ratio in MRI images
D) A method for reducing the amount of time required to complete an MRI scan

A

b

25
Q

What is Multivariate Pattern Analysis (MVPA) in the context of fMRI data analysis?
A) A technique for identifying correlations between different variables in the data
B) A method for separating the sources of a signal based on the statistical independence of their features
C) A statistical approach for detecting patterns in multivariate data that are related to a specific experimental condition or cognitive state
D) A data reduction technique that seeks to identify latent variables underlying the observed data

A

c

26
Q

What are the different types of motion parameters that can be derived from motion tracking data?
A) Velocity, Acceleration, Jerk, Trajectory, Volume
B) Velocity, Power, Force, Distance, Time
C) Speed, Jerk, Rotation, Displacement, Angle
D) Displacement, Velocity, Acceleration, Jerk, Momentum

A

a