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Please answer each of the following questions to help you self-assess your understanding of "Chapter 4: Measurement" (Remler & Van Ryzin, 2010)

1. (OPTIONAL) Your email address This question requires a valid email address.

2. Please Match the Term to Its Definition *This question is required.

Space Cell

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Manifest Construct

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Operationalization *This question is required

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Conceptualization

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Latent Construct *This question is required

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Constuct

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Dimension *This question is required

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Measure

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Measurement

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Performance Measurement

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Trait

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

Domain *This question is required

A construct or trait that is not directly observable.

A facet of a multifaceted construct, also called a domain.

Concept, construct, or characteristic of which the measurement is sought.

A facet of a multifaceted construct, also called a dimension.

Stage in measurement process in which the construct (or concept) to be measured is carefully and fully defined.

The concept or trait that a measure is trying to capture.

The process of systematically observing some feature or characteristic of the world and then recording it in the form of a number or category.

A construct or trait that is directly observable. Contrasts with a latent construct.

The use of measurement for administrative purposes or leadership strategy.

The process of devising or identifying an empirical measure.

The score or result produced by a measurement process.

3. Please Match the Term to Its Definition *This question is required.

Space Cell

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Indicator

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Validity (of a measure) *This question is required

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Index *This question is required

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Scale *This question is required

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Protocols

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Proxy Reporting

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Research Personnel

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Proxy

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Instrument (of Measurement)

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

Proxy Respondent

Some observable measure that reveals information about a factor or latent trait.

Situation in a survey in which a person who responds provides information about someone else.

A composite measure composed of multiple items, which are correlated with each other and thought to reflect a single latent construct.

The technicians, interviewers, trained observers, and other personnel who implement research protocols.

Tools that help measure something, such as a survey instrument.

A person who responds to a survey providing information about someone else.

How well a measure represents the construct of interest.

Composite measure composed of multiple items, which may be selected for different reasons.

Carefully specified procedures for using the instruments properly in measurement.

A measure that substitutes for another unavailable measure.

4. Please Match the Term to Its Definition *This question is required.

Space Cell

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Discriminant Validity *This question is required

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Concurrent Validity

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Nomological Validity *This question is required

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Content Validity

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Convergent Validity

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Self-Reporting

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Criterion-Related Validity

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Face Validity

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Construct Validity *This question is required

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

Predictive Validity

On the face of it, how well a measure captures what it is supposed to measure - the extent to which a measure makes intuitive sense.

Extent to which a measure is independent of (not correlated with) other measures in the same data set that it does not logically relate to.

How well a measure captures all the important dimensions of a construct.

The extent to which a measure correlates with other closely related measures in the same data set.

The extent to which a measure behaves in a statistical model in a way that would be expected, based on theory and prior research.

The extent to which a measure concurs or agrees with other established classifications or test scores.

The extent to which a measure relates, empirically, to various criteria that can demonstrate its validity.

When survey respondents are asked to report their own behaviors or characteristics.

The extent to which a measure behaves as it should in a system or network of other variables.

The extent to which a measure predicts logically related outcomes or behaviors in the future.

5. Please Match the Term to Its Definition *This question is required.

Space Cell

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Systematic Measurement Error

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Bias

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Random Measurement Error

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Noise

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Reliability

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Test-Retest Reliability

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Interrater Reliability

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Split-Half Reliability *This question is required

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Cronbach's Alpha *This question is required

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

Parallel Forms Reliability *This question is required

Systematic error in a measure or causal effect.

The average of all possible split-half correlations; a measure of the internal reliability of a multi-item scale.

A measure of reliability of a composite measure such as a scale based on dividing the items randomly into two halves and then looking at the correlation between the two halves.

Consistency of a measure.

Random measurement error.

Errors - deviations from the true construct in a measure - that are not systematic and average out to zero. Also called noise.

How similar the scores of different raters or interviewers are when they measure the same person or object.

An approach to determining reliability based on measuring the same thing twice.

The extent to which two forms of a test or measure are really the same.

Errors - or deviations from the true construct in a measure that are systematic and do not average out to zero. Also called bias.

6. Please Match the Term to Its Definition *This question is required.

Space Cell

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Code-Recode Reliability

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Level of Measurement

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Quantitative Variables

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Categorical Variables

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Unit of Measurement

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Interval Measure

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Ratio Measure

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Nominal Categorical Variables *This question is required

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Ordinal Categorical Variables *This question is required

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

Dummy Variable *This question is required

The units that define the numbers in quantitative variables - how many of what that numbers refer to. Also referred to as simply units.

Categorical variable that has only two values 0 and 1, where 1 indicates being in the category named by the variable and 0 indicates not being in it. Also called indicator variable.

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with interval measure.

Variables that take the forms of numbers that refer to actual quantities of something.

The distinction between quantitative and categorical variables, or "ladder of measurement": nominal, ordinal, interval, or ratio.

A quantitative measure in which the size of a difference - an interval - has meaning, but there is no meaningful zero. Contrasts with ratio measure.

Categorical variables that can be put in a meaningful order.

Variables that refer to categories and not to an actual quantity.

Categorical variables that have no intrinsic order.

The consistency of coding qualitative data.

7. Researchers developing the HIV-Knowledge Questionnaire found that it was positively correlated with other similar measures such as the AIDS Risk Behavior Knowledge Test. Based on this description, the measure has *This question is required.

Face validity

Concurrent validity

Discriminant validity

Predictive validity

8. To measure individualism, a study included survey questions based on three components of the concept: autonomy, mature self-responsibility, and uniqueness. These three components can be referred to as *This question is required.

Constructs

Scales

Dimensions

None of the above

9. A measure of bureaucratic red tape included many important dimensions of the construct, such as delays, rules and procedures, and the number of people required to make decisions. Based on this description, the red tape measure has *This question is required.

Content validity

Criterion-related validity

Concurrent validity

Predictive validity

10. A study found that college students who score higher on a measure of “public service motivation” (which includes dimensions such as attraction to policy-making, feelings of compassion, and attitudes about civic duty) are more likely to work for a government agency or nonprofit organization rather than a for-profit business when they graduate. Based on this description, this measure has *This question is required.

Predictive validity

Reliability

Convergent validity

Content validity

11. What is the level of measurement? *This question is required.

Quantitative

Categorical

Kilograms

Individuals

12. What is the unit of measurement? *This question is required.

Quantitative

Categorical

Kilograms

Individuals

13. What is the unit of analysis? *This question is required.