PSY 300 Final Exam Terms

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30 Terms

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Confederate

A person who seems to be a regular participant, but is actually part of the experiment

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Lab Experiments

Typical experiment with controlling of variables, laboratory setting with experimenters/researchers manipulating things to try and see the effects of certain phenomena in behavior

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Quasi Experimental Design

Like regular experiments where you are trying to see a difference between groups, but the big difference is that you as a researcher don't have control who goes into your different groups for your independent variable

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Field Experiment

Experiment done outside of a laboratory setting/in the ‘real world’

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Independent Group Design

Different participants in different conditions

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Repeated Measures Design

Same participants in different conditions

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Internal Validity

The ability as an experimenter to say with confidence that the independent variable is what caused a change in behavior

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External Validity

The ability as an experimenter to say with confidence that the results of a study are generalizable, and that the results would be the same outside of a lab/experimental setting

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One Way ANOVA

A type of statistical analysis; run when you have one independent variable with multiple groups

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Two Way ANOVA

A type of statistical analysis; run when you have two independent variables with multiple groups

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Independent Samples T-Test

A type of statistical analysis; run when you have different participants in different conditions

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Paired Samples T Test

A type of statistical analysis; run when you have the same participants in the same conditions

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Chi-Square Analysis

A type of statistical analysis; run when you have only nominal (categorical) variables that you’re comparing

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Need Based Analysis

Type of program evaluation; an analysis of if people need/would use a specific type of program

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Program Rationale Analysis

Type of program evaluation; an analysis of the rationale behind a program

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Process Evaluation Analysis

Type of program evaluation; An ongoing monitoring of a program

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Outcome Evaluation Analysis

Type of program evaluation; analysis of if the goal of the program have been met

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Efficiency Assessment

Type of program evaluation; analysis of if a program is worth the money

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P Hacking

A type of statistical manipulation where a researcher either takes out certain pieces of data or completely fabricates data to change the p value and make it statistically significant

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Cross Sectional Research

Type of developmental research design; studying people of different age groups at the same time

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Longitudinal Research

Type of developmental research design; when the same group of people are studied over a long period of time

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Sequential Design

Type of developmental research design; when two or more groups of people of different ages are studied over a long period of time

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Microgenetic Design

Type of developmental longitudinal research design; participants take many assessments over a short period of time

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Information in Intro Section of Research Report

Introduction of topic and why it’s important; Lit review; Present research questions with hypotheses

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Information in Methods Section of Research Report

Participants (demographic info, total number of participants, how they were selected, whether and/or how they were compensated, measures taken to comply with ethical guidelines); Procedure (specify exactly what happened in the study, summarize each step of the study and the instructions given to the participants); Measures (describe and operationalize measures used in study, sample item and sample response choices)

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Information in Results Section of Research Report

Each paragraph should address one research question (Reiterate question and hypotheses; Justification of statistical analysis used; List the mean, standard deviation, p value, and any other important results from statistical analysis); do not speculate why you got certain results

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Information in Discussion Section of Research Report

Review topic and briefly summarize findings; Discuss why results refuted or supported your research hypothesis; Whether results supported or refuted past research; Limitations of study; Larger implications of results; Suggestions for future research

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Importance of Pilot Studies

Allows researchers to be on the same page about side, makes sure the procedure runs smoothly/allows researchers to tweak parts of study that aren't working well

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Threats to Generalization

Sample not representative of population as a whole; experimenter bias unknowingly affecting data; the use of pre-tests can affect the way people respond to research and how they behave in the study (and are not things that happen in real life); the possibility of the experimental method not representative of reality; cultural differences

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Solutions to Threats of Generalization

Running statistics to predict the probability that results apply to beyond one study; Conducting qualitative lit reviews of other similar research; Conducting quantitative meta analyses, which are statistical analyses of results from many different studies; Replication of the study