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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

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Operationalization *This question is required

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Trait

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Constuct

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Measurement

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Measure

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Latent Construct *This question is required

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Manifest Construct

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Performance Measurement

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Conceptualization

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Domain *This question is required

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

Dimension *This question is required

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

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

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

A construct or trait that is not directly observable.

The score or result produced by a measurement process.

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

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

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

The process of devising or identifying an empirical measure.

The use of measurement for administrative purposes or leadership strategy.

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

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Proxy Respondent

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Research Personnel

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Scale *This question is required

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Proxy

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Index *This question is required

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Validity (of a measure) *This question is required

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Indicator

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Instrument (of Measurement)

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Protocols

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

Proxy Reporting

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

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

A measure that substitutes for another unavailable measure.

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

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

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

Carefully specified procedures for using the instruments properly in measurement.

How well a measure represents the construct of interest.

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

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

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

Space Cell

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

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

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

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.

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.

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.

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

Construct Validity *This question is required

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

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

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

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.

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.

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.

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

Self-Reporting

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

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

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

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.

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.

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.

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

Criterion-Related Validity

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

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

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

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.

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.

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.

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

Nomological Validity *This question is required

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

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

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

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.

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.

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.

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

Concurrent Validity

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

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

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

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.

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.

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.

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

Content Validity

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

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

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

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.

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.

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.

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

Face Validity

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

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

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

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.

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.

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.

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

Discriminant Validity *This question is required

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

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

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

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.

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.

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.

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

Predictive Validity

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

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

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

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.

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.

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.

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

Convergent Validity

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

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

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

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.

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.

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.

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

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

Space Cell

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

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.

Consistency of a measure.

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

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

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

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

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

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Code-Recode Reliability

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Level of Measurement

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Quantitative Variables

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Categorical Variables

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Unit of Measurement

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Interval Measure

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Ratio Measure

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Nominal Categorical Variables *This question is required

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Ordinal Categorical Variables *This question is required

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

Dummy Variable *This question is required

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

The consistency of coding qualitative data.

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

A quantitative measure in which there is a meaningful zero and the size of a difference, an interval, has meaning. Contrasts with 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 variables that have no intrinsic order.

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 that can be put in a meaningful order.

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

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

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.