Breanna Thomas
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Test sobre Research Methods Final Exam, creado por Breanna Thomas el 17/11/2015.

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Breanna Thomas
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Research Methods Final Exam

Pregunta 1 de 21

1

What is a conceptual definition?

Selecciona una de las siguientes respuestas posibles:

  • A way to define a construct so that it can eventually be tested

  • A way to measure a construct

  • A way to explain something

Explicación

Pregunta 2 de 21

1

What is an operational definition?

Selecciona una de las siguientes respuestas posibles:

  • A way to define a psychological construct so that it can eventually be measured

  • A way to define a psychological construct

  • A way to define the actual method, tool, or technique which indicates how the concept will be measured

Explicación

Pregunta 3 de 21

1

What is a metric?

Selecciona uno de los siguientes:

  • VERDADERO
  • FALSO

Explicación

Pregunta 4 de 21

1

Which of the following is an example of a nominal scale?

Selecciona una o más de las siguientes respuestas posibles:

  • What is your gender?

  • How are you feeling today?

  • What is your hair color?

  • On a scale of 1-10, what is your satisfaction with your job?

Explicación

Pregunta 5 de 21

1

Which of the following is an example of an ordinal scale?

Selecciona una o más de las siguientes respuestas posibles:

  • Who did better on a test (rank order)?

  • What is your gender?

  • How are you feeling today on a scale of 1-10?

  • What is the temperature?

Explicación

Pregunta 6 de 21

1

Which of the following is an example of interval scale?

Selecciona una o más de las siguientes respuestas posibles:

  • What is your gender?

  • How likely are you to buy a new car from 1-10?

  • What is the temperature?

  • How likely are you to buy a new car (Most likely, likely, not likely, etc)?

Explicación

Pregunta 7 de 21

1

Which of the following is an example of a ratio scale?

Selecciona una o más de las siguientes respuestas posibles:

  • How likely are you to buy a new car on a scale from 1-10?

  • What is your weight?

  • What is your height?

  • What is your gender?

Explicación

Pregunta 8 de 21

1

Validity is the degree of consistency across time and measures

Selecciona uno de los siguientes:

  • VERDADERO
  • FALSO

Explicación

Pregunta 9 de 21

1

What is reliability?

Selecciona una de las siguientes respuestas posibles:

  • The degree to which responses are consistent over time

  • The degree to which we accurately measure the construct of interest

  • The degree to which we can measure the construct

Explicación

Pregunta 10 de 21

1

What is a population?

Selecciona una de las siguientes respuestas posibles:

  • A complete set of individuals that we can generalize back to

  • A set of individuals we use to estimate characteristics

  • A set of characteristics we want to test

Explicación

Pregunta 11 de 21

1

Which of the following examples is a sample if we wish to study the underlying factors that cause patients to be admitted into hospital following an acute asthmatic attack in a given area

Selecciona una o más de las siguientes respuestas posibles:

  • All patients in given area who were admitted into the hospital

  • All patients in given area who were admitted into the hospital for an acute asthmatic attack

  • 100 patients in given area who were admitted into the hospital for an acute asthmatic attack

Explicación

Pregunta 12 de 21

1

A sampling frame is a subset of the population and is a list of characteristics of people in a population from which a sample is taken

Selecciona uno de los siguientes:

  • VERDADERO
  • FALSO

Explicación

Pregunta 13 de 21

1

What is non-probability sampling?

Selecciona una de las siguientes respuestas posibles:

  • A form of sampling that does not use random selection

  • A form of sampling that does use random selection

  • A form of sampling that is based on nothing

Explicación

Pregunta 14 de 21

1

You should use non-probability sampling when...

Selecciona una de las siguientes respuestas posibles:

  • When the variability for a relationship is so small such that valid conclusions about a large group of people can be drawn

  • When you want to generalize back to a large population

  • When you have limitless resources

Explicación

Pregunta 15 de 21

1

Which of the following is an example of convenience sampling?

Selecciona una de las siguientes respuestas posibles:

  • When you randomly pick a group of participants

  • When you take whomever is most available for research

  • When you ask a group of participants to recruit more participants

  • When you select a group of participants based on percentages of subgroups in the population

Explicación

Pregunta 16 de 21

1

Which of the following is an example of quota sampling?

Selecciona una de las siguientes respuestas posibles:

  • There are 66% female and 34% male in a graduate psychology program. I want to study the effects of stress and gender in graduate school, so I select a sample that has 66% female and 34% male.

  • I pick everyone who walks through the door

  • I select a group of participants and ask them to recruit their other graduate friends

  • I randomly divide everyone in the sampling frame and assign them a number and randomly pick numbers

Explicación

Pregunta 17 de 21

1

Probability sampling is a form of sampling that utilizes random selection and where everyone in the sampling frame has an equal chance of being in the sample

Selecciona uno de los siguientes:

  • VERDADERO
  • FALSO

Explicación

Pregunta 18 de 21

1

Simple random sampling is when everyone in the sampling frame is assigned a number and numbers are randomly chosen until the desired or required sample size is reached.

Selecciona uno de los siguientes:

  • VERDADERO
  • FALSO

Explicación

Pregunta 19 de 21

1

Which of the following is an example of systematic random sampling?

Selecciona una de las siguientes respuestas posibles:

  • A researcher has a population of 100 individuals and needs 10 subjects. He randomly divides the sampling frame (100) by the required sample size (10) and uses that number (10) to pick people in the sampling frame. So, he picks every 10th individual

  • A researcher has a population of 100 individuals and needs 10 subjects. He assigns all individuals a number and randomly selects the numbers.

  • A researcher has a population of 100 individuals and needs 10 subjects. The researcher knows that everyone in the sampling frame has a different probability of being selected but still picks them.

Explicación

Pregunta 20 de 21

1

Non-equivalent random sampling is when everyone in the sampling frame has an equal possibility of being selected.

Selecciona uno de los siguientes:

  • VERDADERO
  • FALSO

Explicación

Pregunta 21 de 21

1

What is clustering?

Selecciona una de las siguientes respuestas posibles:

  • A form of probability sampling where you select the sample in stages so that each unit of sampling shares a characteristic

  • A form of probability sampling where you randomly select clusters of participants

  • A form of probability sampling where you divide groups of participants and randomly select

Explicación