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PSYC 255 Exam 3 And 4: Liberty University Latest Questions with Actual Complete Answers Edition.

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causal claim - Answer boldest claim a scientist can make - makes, influences, affects - states something about interventions or treatments - experiments are the only way to investigate these Intervention - Answer ultimate goal of psychological studies and they must be based on sound experimental research covariance, temporal precedence, internal validity - Answer 3 rules of causation control group - Answer level of independent variable that is intended to represent "no treatment" or neutral condition (not needed in every experiment, but comparison group is needed) treatment group - Answer other levels or levels of an independent variable confounds - Answer possible explanations/ threats to internal validity (confuse) design confound - Answer experimenter's mistake in designing the independent variable - occurs when a second variable happens to vary systematically along with the intended independent variable systematic variability and unsystematic - Answer (random/ haphazard) - can obscure, the dependent variable (not confound) selection effects - Answer when the kinds of participants in one level of the independent variable are systematically different than those in the other - or when participants choose which group they want to be in - assign one type of person to one condition and another type to another - impossible to tell the reason for the results

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PSYC 255 Exam 3 And 4: Liberty
University Latest Questions with
Actual Complete Answers 2025-2026
Edition.
causal claim - Answer boldest claim a scientist can make

- makes, influences, affects

- states something about interventions or treatments

- experiments are the only way to investigate these



Intervention - Answer ultimate goal of psychological studies and they must be based on sound
experimental research



covariance, temporal precedence, internal validity - Answer 3 rules of causation



control group - Answer level of independent variable that is intended to represent "no
treatment" or neutral condition (not needed in every experiment, but comparison group is
needed)



treatment group - Answer other levels or levels of an independent variable



confounds - Answer possible explanations/ threats to internal validity (confuse)



design confound - Answer experimenter's mistake in designing the independent variable

- occurs when a second variable happens to vary systematically along with the intended
independent variable



systematic variability and unsystematic - Answer (random/ haphazard) - can obscure, the
dependent variable (not confound)



selection effects - Answer when the kinds of participants in one level of the independent
variable are systematically different than those in the other

- or when participants choose which group they want to be in

, random assignment - Answer avoid selection effects (equal chance)

- de-systematizing the types of participants who end up in each level



matched groups - Answer researchers assign participants at random to one condition or
another in an experiment

- requires more time and research (GPA, demographics, etc)



manipulation checks - Answer extra dependent variable that researchers can insert into an
experiment to convince them that their experimental manipulation worked

- help determine whether operationalization worked as intended



pilot study - Answer simple study, using separate group of participants, that is completed
before or after the study of primary interest to confirm effectiveness of manipulations



original units - Answer used when you want to estimate the real-world impact of an
intervention



standardized effect size - Answer correlation coefficient "r" :used when you want to compare
effect sizes that are based on different units or enables you to compare the results found in one
study to a body of knowledge

- When two groups in an experiment = "d" = takes into account both the difference between
means and the spread of scores within each group (standard deviation)



d - Answer 0.2 = small

0.5 = moderate

0.8 = large



experiment - Answer researchers manipulated one variable and measured another



manipulated variable - Answer variable that is controlled or when researchers assign
participants to a level of the variable

- Independent Variable (only one)

- X-axis

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