Textbook Notes for Hladkyj

UOFMPSYC 2250HladkyjFall

PSYC 2250 Chapter Notes - Chapter 5: Pearson Product-Moment Correlation Coefficient, Spread Betting, Inter-Rater Reliability

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24 Sep 2018
0
Operational definitions are specific methods used to manipulate or measure the variable. Ex) operationally define satisfaction would be to ask people h
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UOFMPSYC 2250HladkyjFall

PSYC 2250 Chapter Notes - Chapter 8: Confounding, Random Assignment, Internal Validity

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24 Sep 2018
0
Confounding and internal validity: a critical advantage of experiments over non-experiments is that researchers can interpret results in terms on causa
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UOFMPSYC 2250HladkyjFall

PSYC 2250 Chapter Notes - Chapter 9: Operational Definition, Pilot Experiment, Construct Validity

OC251678210 Page
24 Sep 2018
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After deciding on a research design to test your hypothesis, the next steps involve detailing the operational definitions for each variable and creatin
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UOFMPSYC 2250HladkyjFall

PSYC 2250 Chapter Notes - Chapter 6: Naturalistic Observation, Scientific Method

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24 Sep 2018
0
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UOFMPSYC 2250HladkyjFall

PSYC 2250 Chapter Notes - Chapter 14: External Validity, Literature Review, Longitudinal Study

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24 Sep 2018
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External validity: the degree to which the results of an experiment may be generalized. We consider 2 ways in which research results may or may not gen
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UOFMPSYC 2250HladkyjFall

PSYC 2250 Chapter 12: Chapter 12

OC25167828 Page
24 Sep 2018
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Chapter 12: understanding research results: describing variables and. Choosing the appropriate statistical analyses and graphs depends crucially on eac
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UOFMPSYC 2250HladkyjFall

PSYC 2250 Chapter Notes - Chapter 11: Special Circumstances, Reward System, Experiment

OC251678210 Page
24 Sep 2018
0
Single case experiments were developed from a need to determine whether an experimental manipulation had an effect on a single research participant. Si
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UOFMPSYC 2250HladkyjFall

PSYC 2250 Chapter Notes - Chapter 10: Factorial Experiment, Analysis Of Variance, Statistical Hypothesis Testing

OC25167826 Page
24 Sep 2018
0
An independent variable can have more than two levels. In the simplest experimental design, the independent variable has only two levels. Levels: term
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