Research Methods (10)

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19 Terms

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  • The difference between the two designs is the degree to which the research strategy limits:

    • Confounding Variables

    • Controls threats to internal validity

  • Nonexperimental - little to no attempt to minimize threats

  • Quasi-Experimental - some attempt to minimize threats to internal validity and is almost, but not quite, a true experiment

  • Both often look like experiments

    • Studies produce groups of scores that can be compared for significant differences

    • However, the different scores are not produced by manipulating an IV, but instead the groups are defined in terms of a participant variable (i.e. gender)

What is difference between a Non-Experimental and a Quasi-Experimental Design? (longe)

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10.2 - Non-Equivalent Group Designs

module done…

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Cannot use random assignment because the groups already exist

Why can’t researchers have control over the assignment of individuals in a group?

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Yes.

  • Individual differences prevent a clear cause-and-effect explanation

    • Groups have different participant characteristics

      • No random assignment = No assurance of equivalent groups

Are there any threats to Internal Validity?

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  • Compared pre-existing groups

  • Goal: establish differences between the pre-existing groups

  • Also called an ex-post facto design, looks at the differences “after the fact”

What is a Differential Research Design?

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  • One group is the treatment, second group (of similar, but nonequivalent participants) used for control group

  • No random assignment

    • Does participation in a mindfulness-based stress reduction program lead to reduced levels of anxiety compared to the control group?

What is a Nonequivalent Control Group Design (post-test only)?

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  • Compared two nonequivalent groups

  • One group is measured twice

    • Once before treatment and one after

  • Second group is measured at the same two times, no treatment

  • Design attempts to limit threats to internal validity, thus classified as a Quasi-Experimental Design

What is a Quasi-Experimental Design? (pre test - post test nonequivalent)?

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10.3 - Pre-Post Designs

module doen

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One group is measured before and after a treatment

What are Pre-Post Designs?

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  • History

  • Instrumentation

  • Testing Effects

  • Maturation

  • Statistical regression

What are the threats to the internal validity?

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  • Series of observations are made over time for one group of participants

  • No attempt to control threats to internal validity

What is a Pretest-Posttest Design?

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  • Series of observations for each participant before a treatment or event, and a series of observations after a treatment or event

  • A study in intervening events are not manipulated is sometimes called an interrupted time-series design

  • The value of pretest and posttest observations help:

    • Allow researchers to see trends in data

      • Identifying practice, fatigue, maturation, etc., since they make noticeable changes before a treatment

    • Allows researcher to observe post-treatment trends

What is a Time-Series Design? (long?)

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  • Often applied to single individuals or single organizations

    • More often classified as single-case or single-subject designs

How can Time-Series Designs be applied in a Single-Case?

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10.4 - Developmental Research Designs

MODULE DONE

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  • Developmental research designs are used to examine changes in behavior related to age

  • Uses different groups of individuals

    • Each group has a different age

    • Different groups measured at one point in time and then compared

    • This design is an example of a between-subjects non-experimental design

  • Pros:

    • Data can be collected in a short period of time

      • Observing how behavior changes as people age without waiting for them to grow older

  • Cons:

    • Factors other than age may differentiate groups

      • Such as cohort effects (which generation were they born in?)

What is a Cross-Sectional Developmental Research Design? Pros and Cons?

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  • Examines development by observing or measuring a group of cohorts over time

    • EX) Measuring IQ in a group of 40 year olds, then measuring the same individuals again in ages 60 and 80

  • An example of a within-subjects nonexperimental design

  • Pros:

    • No cohort or generation effects

    • Assesses individual behavioral changes

  • Cons:

    • Time-consuming

    • Participant attrition may create bias

    • Potential for practice effects

What is a Longitudinal Developmental Research Design? Pros and Cons?

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10.5 - Applications, Statistical Analysis, and Terminology

Module Done

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  • Quasi-Independent Variable (IV)

    • Variable used to differentiate the groups of participants or group of scores being compared

  • Dependent Variable (DV)

    • Variable that is measured to obtain the scores within each group

Review: What is a Quasi-Independent Variable (IV) and Dependent Variable (DV)?

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  • Two group designs have the advantage of simplicity

    • Easy to set up

    • Results are easy to understand

  • Two-group design does not provide the full functional relationship between variables

  • Two-group designs analysis

    • Compares numerical scores with a t-test for two means, or a single-factor analysis of variance for multiple means

    • Uses a chi-square test for non-numerical data

What is the Application and Analysis?