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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

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Conceptualization

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Dimension *This question is required

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Domain *This question is required

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Constuct

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Performance Measurement

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Operationalization *This question is required

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Latent Construct *This question is required

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Measurement

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Manifest Construct

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Measure

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

Trait

The score or result produced by a measurement process.

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

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

The process of devising or identifying an empirical measure.

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

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

A construct or trait that is not directly observable.

The use of measurement for administrative purposes or leadership strategy.

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.

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

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.

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Indicator

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Instrument (of Measurement)

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Proxy Reporting

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Scale *This question is required

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Index *This question is required

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Proxy Respondent

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Research Personnel

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Proxy

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Protocols

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

Validity (of a measure) *This question is required

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

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

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

A measure that substitutes for another unavailable measure.

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.

How well a measure represents the construct of interest.

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

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

Carefully specified procedures for using the instruments properly in measurement.

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

Space Cell

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Construct Validity *This question is required

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Convergent Validity

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Discriminant Validity *This question is required

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Self-Reporting

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Face Validity

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Concurrent Validity

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Criterion-Related Validity

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Content Validity

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Predictive Validity

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

Nomological Validity *This question is required

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 predicts logically related outcomes or behaviors in the future.

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

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

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

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.

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

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

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

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

Space Cell

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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 Measurement Error

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Bias

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Random Measurement Error

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Noise

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Reliability

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Test-Retest Reliability

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Interrater Reliability

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Split-Half Reliability *This question is required

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Cronbach's Alpha *This question is required

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

Parallel Forms Reliability *This question is required

Systematic error in a measure or causal effect.

Random measurement error.

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

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.

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

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

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

Consistency of a measure.

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.

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

Space Cell

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Code-Recode Reliability

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Level of Measurement

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Quantitative Variables

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Categorical Variables

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Unit of Measurement

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Interval Measure

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Ratio Measure

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Nominal Categorical Variables *This question is required

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Ordinal Categorical Variables *This question is required

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

Dummy Variable *This question is required

Categorical variables that have no intrinsic order.

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

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

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

The consistency of coding qualitative data.

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

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.

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.

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.