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Definition
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Term
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Definition
A broad idea or set of closely related ideas that attempts to explain observations and make predictions about future observations |
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Term
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Definition
A definition that provides description of how a variable is going to be measured and observed in a particular study |
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Definition
A method that allows researchers to combine the results of several different studies on a similar topic in order to establish the strength of an effect. |
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Definition
Research that determines the basic dimensions of a phenomenon, defining what it is, when it occurs etc. |
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Definition
An in-depth look at a single individual |
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Definition
Research that examines the relationships between variables, whose purpose is to examine whether and how two variables change together. |
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Definition
The circumstance when a variable that has not been measured accounts for the relationship between the other two variables. The third variable is known as a confound. |
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Definition
A special kind of systematic observation. Involves obtaining measures of variables over time. |
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Definition
A regulated procedure in which a researcher manipulates one or more variables to influence some other variable |
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Definition
Researchers' assignment of participants to groups by chance to reduce the likelihood that an experiment's results will be due to a preexisting difference. |
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Definition
The variable the experimenter changes to see what the effects are. |
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Definition
Person given a role in an experiment. |
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Definition
The outcome, factor that can change and DEPENDS on the independent variable. |
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Term
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Definition
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Term
|
Definition
A broad idea or set of closely related ideas that attempts to explain observations and make predictions about future observations |
|
|
Term
|
Definition
A definition that provides description of how a variable is going to be measured and observed in a particular study |
|
|
Term
|
Definition
A method that allows researchers to combine the results of several different studies on a similar topic in order to establish the strength of an effect. |
|
|
Term
|
Definition
Research that determines the basic dimensions of a phenomenon, defining what it is, when it occurs etc. |
|
|
Term
|
Definition
An in-depth look at a single individual |
|
|
Term
|
Definition
Research that examines the relationships between variables, whose purpose is to examine whether and how two variables change together. |
|
|
Term
|
Definition
The circumstance when a variable that has not been measured accounts for the relationship between the other two variables. The third variable is known as a confound. |
|
|
Term
|
Definition
A special kind of systematic observation. Involves obtaining measures of variables over time. |
|
|
Term
|
Definition
A regulated procedure in which a researcher manipulates one or more variables to influence some other variable |
|
|
Term
|
Definition
Researchers' assignment of participants to groups by chance to reduce the likelihood that an experiment's results will be due to a preexisting difference. |
|
|
Term
|
Definition
The variable the experimenter changes to see what the effects are. |
|
|
Term
|
Definition
Person given a role in an experiment. |
|
|
Term
|
Definition
The outcome, factor that can change and DEPENDS on the independent variable. |
|
|
Term
|
Definition
|
|
Term
|
Definition
A broad idea or set of closely related ideas that attempts to explain observations and make predictions about future observations |
|
|
Term
|
Definition
A definition that provides description of how a variable is going to be measured and observed in a particular study |
|
|
Term
|
Definition
A method that allows researchers to combine the results of several different studies on a similar topic in order to establish the strength of an effect. |
|
|
Term
|
Definition
Research that determines the basic dimensions of a phenomenon, defining what it is, when it occurs etc. |
|
|
Term
|
Definition
An in-depth look at a single individual |
|
|
Term
|
Definition
Research that examines the relationships between variables, whose purpose is to examine whether and how two variables change together. |
|
|
Term
|
Definition
The circumstance when a variable that has not been measured accounts for the relationship between the other two variables. The third variable is known as a confound. |
|
|
Term
|
Definition
A special kind of systematic observation. Involves obtaining measures of variables over time. |
|
|
Term
|
Definition
A regulated procedure in which a researcher manipulates one or more variables to influence some other variable |
|
|
Term
|
Definition
Researchers' assignment of participants to groups by chance to reduce the likelihood that an experiment's results will be due to a preexisting difference. |
|
|
Term
|
Definition
The variable the experimenter changes to see what the effects are. |
|
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Term
|
Definition
Person given a role in an experiment. |
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Term
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Definition
The outcome, factor that can change and DEPENDS on the independent variable. |
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Term
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Definition
Participants who receive the drug or treatment. They are exposed to the independent variable. |
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Term
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Definition
The are treated exactly like the experimental group except for the independent variable. |
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Definition
The degree to which an experimental design actually reflects the real world issues it supposed to address. |
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Definition
Degree to which changes in dependent variable are a manipulation of the independent variable. |
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Definition
Occurs when the experimenters expectations influence the outcome of the research. |
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Definition
A harmless substance that has no effect and is given to the control group. |
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Definition
Occurs when participants' expectations rather than the treatment produce and outcome. |
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Definition
A design in which neither the experimenter nor participants are aware of the control group and experiment group. |
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Definition
The entire group about which the investigator wants to draw conclusions. |
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Definition
A subset of the population |
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Definition
A measure of dispersion that tells us how much scores in a sample differ from the mean. |
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Definition
Mathematical methods that are used to indicated whether results for a sample are likely to generalize to a population |
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