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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Latent Construct *This question is required

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Manifest Construct

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Operationalization *This question is required

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Constuct

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Domain *This question is required

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Trait

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Dimension *This question is required

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Conceptualization

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Performance Measurement

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Measure

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

Measurement

A construct or trait that is not directly observable.

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

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

The process of devising or identifying an empirical measure.

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

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

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

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

The score or result produced by a measurement process.

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

The use of measurement for administrative purposes or leadership strategy.

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

Space Cell

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Instrument (of Measurement)

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Scale *This question is required

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Index *This question is required

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Research Personnel

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Validity (of a measure) *This question is required

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Proxy Respondent

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Indicator

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Proxy

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Protocols

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

Proxy Reporting

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

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.

A measure that substitutes for another unavailable measure.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

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

How well a measure represents the construct of interest.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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.

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

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

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

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.

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 correlates with other closely related measures in the same data set.

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

Space Cell

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Systematic Measurement Error

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Bias

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Random Measurement Error

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Noise

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Reliability

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Test-Retest Reliability

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Interrater Reliability

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Split-Half Reliability *This question is required

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Cronbach's Alpha *This question is required

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

Parallel Forms Reliability *This question is required

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

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

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

Consistency of a measure.

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.

Random measurement error.

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.

Systematic error in a measure or causal effect.

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

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

Space Cell

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Code-Recode Reliability

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Level of Measurement

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Quantitative Variables

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Categorical Variables

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Unit of Measurement

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Interval Measure

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Ratio Measure

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Nominal Categorical Variables *This question is required

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Ordinal Categorical Variables *This question is required

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

Dummy Variable *This question is required

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 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.

The consistency of coding qualitative data.

Categorical variables that can be put in a meaningful order.

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 refer to categories and not to an actual quantity.

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

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

Categorical variables that have no intrinsic order.

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

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.