Competence I: Ch 9 & 17 Flashcards

1
Q

Single Subject Design

A

longitudinal perspective, IV can be manipulated or observed. Goal of research can focus on either testing or generating hypotheses. (testing a theory or discovering new information) three types: uncontrolled case study, intensive single subject quantitative design & single subject experimental design

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2
Q

Uncontrolled Case Study

A

does not contain systematic observations but contains many uncontrolled variables

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3
Q

Intensive Single Subject Design

A

systematic, repeated, and mupltiple observations of a client, dyad, or group to identify and compare relationships among variables (IV observed NOT manipulated)

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4
Q

Single Subject Experimental Design

A

manipulation of the IV, 1. Specification of treatment goal, 2. Repeated measurement of DV over time 3. Treatment phases 4. Stability of the baseline

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5
Q

Longitudinal Perspective

A

examining variables that vary within the subject over time; achieved by repeated observations or measurements of the variables.

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6
Q

Quantitative Observations

A

categorical, ordinal interval or ratio data

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7
Q

Qualitative data

A

form of text

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8
Q

Stable Baseline Data

A

change cannot be detected after onset of an intervention if baseline is unstable before ascribe causality must obtain accurate and stable assessment of DV before introduction of IV.

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9
Q

Repeated Measurement of Dependent Variable over time

A

When trying to help client engage in less neative thoughts, measurement occur on weekly or daily basis. IV is the treatment or intervention, DV number of self blaming thoughts recorded (single subject experimental design)

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10
Q

Treatment PHase

A

each represents a different experimental condition. One method of phase specification is to identify a baseline and a treatment phase. Second method is defining time periods random assignment of different treatments to different time periods. Changing from one phase to another to demonstrate change due to onset of IV or intervention. (SS Experimental design)

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11
Q

AB Designs and Threats to internal validity

A

two phase experiment A is baseline period and B is intervention phase with multiple observations taken at each phase. Multiple observations referred to as time series format provide greater stability over time. The subject serves as own control comparison (SS Experimental Design). Researcher cannot eliminate or rule out threats to internal validity from history or maturation as possible explanations for results. ABAB designs used to control for these weaknesses.

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12
Q

ABAB Design

A

Four phase experiment (reversal design) examines effect of treatment by either presenting or withdrawing the variable during different phases to provide unambigous evidence of the causal effect of the IV. If behavior at A2 doesn’t revert to baseline levels then causal relationship between IV and DV cannot be inferred. Limits: possibly carryover effects, unethical, and assumptions of statistics assume independent observations not the case here)

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13
Q

Multiple Baselines

A

data are recorded on more than one DV or target behavior simulatenously. Two ore more data collection baselines on different Depenent measures. Attempts to determine causality by idnetifying changes in some but not all of the multiple dependent measures. Problem: possible nonindependence of dvs,

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14
Q

Analogue Research

A

research that is conducted under conditions that resembel or approximate the therapeutic situation. Strengths experimental control and internal validity, weakness external validity (generalizability)

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15
Q

Experimental Simulation

A

a counseling analogue is an experimental simulation of some aspect of the counseling process involving namipulation of some aspcts of the process.

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16
Q

Generalizability of Analogue Studies

A

disadvantage of analogue research is that it has low generalizability of research findings or external validity.

17
Q

Effect Sizes

A

Test of statistical significance assesses the reliability of the relationship between IV and DV (pvalues) by assessing the strenthg of the relationships. Effect size provides information about the magnitude of the effects whereas the significance test only indicate that there is an effect but not how much of an effect (reported as small, medium, and high)

18
Q

Eta square

A

effect size found after conducting an ANOVA, indicates variance in DV attributable to all IVs together.

19
Q

Partial Eta square

A

indicates the percent of variance in the DV attributable to a particular IV. If model has more than one IV report partial eta square for each.

20
Q

Cohen’s d

A

Statistical difference between 2 means in standard deviation units, used for ttest and ANOVA results or meta analyses

21
Q

R squared

A

variance or effecti size found when conducting a regression analysis

22
Q

Cohen’s benchmarks

A

Small .2, moderate .5, large .8; effect size categories

23
Q

Liu & Baker

A

experimental single subject design; ABA design

24
Q

Chapman et al.

A

variables observed NOT manipulated; challenge could not establish true baseline due to ethics; Intensive single subject quantitative design (AB) viewing effect of performance as expected to perform in class; Limitation: external validity- solution replication with same study)