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Questions and Answers
Clinical significance can be assessed using Kendall's equivalency testing method.
Clinical significance can be assessed using Kendall's equivalency testing method.
False (B)
Clinical significance is expressed when a client's post-intervention score represents abnormal functioning.
Clinical significance is expressed when a client's post-intervention score represents abnormal functioning.
True (A)
Clinical significance is expressed when a client's post-intervention score has moved outside the range of the dysfunctional population.
Clinical significance is expressed when a client's post-intervention score has moved outside the range of the dysfunctional population.
True (A)
Clinical significance is reached when intervention and control groups differ significantly regarding the primary outcome.
Clinical significance is reached when intervention and control groups differ significantly regarding the primary outcome.
Seligman (1995) identifies five properties of psychotherapy that are difficult to assess in controlled studies. Which of these properties are they?
Seligman (1995) identifies five properties of psychotherapy that are difficult to assess in controlled studies. Which of these properties are they?
How can the results of small-n-studies be generalized across studies?
How can the results of small-n-studies be generalized across studies?
An audit in clinic research is the basis of quality assurance to set up procedures in services.
An audit in clinic research is the basis of quality assurance to set up procedures in services.
An audit in clinic research is a concept that refers to treatment efficacy studies in outpatient services.
An audit in clinic research is a concept that refers to treatment efficacy studies in outpatient services.
An audit in clinic research is an approach that is comparable (if not synonymous) to program evaluation.
An audit in clinic research is an approach that is comparable (if not synonymous) to program evaluation.
An audit in clinic research describes a circle in progress, as is typically present in evaluation research.
An audit in clinic research describes a circle in progress, as is typically present in evaluation research.
In comparison to fMRI, EEG has a much higher spatial resolution.
In comparison to fMRI, EEG has a much higher spatial resolution.
PET is the only method to infer causal effects of differences in brain activity on behavioral outcomes.
PET is the only method to infer causal effects of differences in brain activity on behavioral outcomes.
Using TMS is not possible (and not warranted advisable) to reach subcortical structures.
Using TMS is not possible (and not warranted advisable) to reach subcortical structures.
Neuro-scientific methods assess only functional but not structural malfunctioning.
Neuro-scientific methods assess only functional but not structural malfunctioning.
Outcome evaluation in program evaluation research includes the assessment of positive outcomes and benefits for the clients.
Outcome evaluation in program evaluation research includes the assessment of positive outcomes and benefits for the clients.
Outcome evaluation in program evaluation research includes the assessment of negative outcomes.
Outcome evaluation in program evaluation research includes the assessment of negative outcomes.
Outcome evaluation in program evaluation research includes the assessment of client satisfaction (with the service).
Outcome evaluation in program evaluation research includes the assessment of client satisfaction (with the service).
Outcome evaluation in program evaluation research includes the assessment of outcomes of some individuals (case tracking).
Outcome evaluation in program evaluation research includes the assessment of outcomes of some individuals (case tracking).
Before calculating a combined effect size, we need to ensure that all individual effect sizes have the same metric.
Before calculating a combined effect size, we need to ensure that all individual effect sizes have the same metric.
Meta-analyses are highly powered interval-based estimates of parameters based on replication principles.
Meta-analyses are highly powered interval-based estimates of parameters based on replication principles.
Meta-analyses can be computed to generalize data across a number of small-n-design studies.
Meta-analyses can be computed to generalize data across a number of small-n-design studies.
“Random effects” meta-analyses are a way to address and model the heterogeneity between studies.
“Random effects” meta-analyses are a way to address and model the heterogeneity between studies.
The validity of a measurement is computed for metric data using Cronbach's alpha (internal consistency).
The validity of a measurement is computed for metric data using Cronbach's alpha (internal consistency).
The validity of a measurement can be assessed by means of face validity (as provided by means of qualitative expert ratings).
The validity of a measurement can be assessed by means of face validity (as provided by means of qualitative expert ratings).
The validity of a measurement is always (numerically) larger than the reliability of the measurement.
The validity of a measurement is always (numerically) larger than the reliability of the measurement.
The validity of a measurement assesses the meaning of measurement (as specified in its definition).
The validity of a measurement assesses the meaning of measurement (as specified in its definition).
“Random effects” is a term that refers to approaches that assume that parameter estimations are the results of random experiments but remain stable across different studies/participants.
“Random effects” is a term that refers to approaches that assume that parameter estimations are the results of random experiments but remain stable across different studies/participants.
“Random effects” are evident in some types of non-overlapping pairs approaches in single case designs.
“Random effects” are evident in some types of non-overlapping pairs approaches in single case designs.
“Random effects” are computed in some multi-level models.
“Random effects” are computed in some multi-level models.
“Random effects” models are computed to generalize the results of meta-analyses to the whole population of studies.
“Random effects” models are computed to generalize the results of meta-analyses to the whole population of studies.
SCED refers to “single case experimental designs”.
SCED refers to “single case experimental designs”.
SCED designs rely on only a few participants.
SCED designs rely on only a few participants.
SCED have the advantage over larger scale clinical research studies to produce data that do not constitute a time series.
SCED have the advantage over larger scale clinical research studies to produce data that do not constitute a time series.
ABAB studies represent typical designs for SCED.
ABAB studies represent typical designs for SCED.
Using small-n pilot studies could lead to underestimations of statistical power in Randomized Controlled Trials.
Using small-n pilot studies could lead to underestimations of statistical power in Randomized Controlled Trials.
ANCOVA models should be preferred over ANOVA models in Randomized Controlled Trials.
ANCOVA models should be preferred over ANOVA models in Randomized Controlled Trials.
A PPF (pre-post-follow up) design is the best way to assess clinical outcomes and to evaluate the efficacy of a treatment in Randomized Controlled Trials
A PPF (pre-post-follow up) design is the best way to assess clinical outcomes and to evaluate the efficacy of a treatment in Randomized Controlled Trials
The term 'controlled' in Randomized Controlled Trials refers to the inclusion of a control group.
The term 'controlled' in Randomized Controlled Trials refers to the inclusion of a control group.
The number of studies that can be included in a meta-analysis is a limitation of meta-analyses.
The number of studies that can be included in a meta-analysis is a limitation of meta-analyses.
Qualitative information is ignored in meta-analyses.
Qualitative information is ignored in meta-analyses.
The quality of the results depends on the quality of the included studies in meta-analyses.
The quality of the results depends on the quality of the included studies in meta-analyses.
Effect sizes do not convey meaningful information in meta-analyses.
Effect sizes do not convey meaningful information in meta-analyses.
CONSORT is a Consolidated Standards of Reporting Trials.
CONSORT is a Consolidated Standards of Reporting Trials.
CONSORT includes a flow diagram which displays the steps of statistical analyses to be conducted in RCTs
CONSORT includes a flow diagram which displays the steps of statistical analyses to be conducted in RCTs
CONSORT provides a checklist to avoid biased estimates in analyses of RCTs.
CONSORT provides a checklist to avoid biased estimates in analyses of RCTs.
CONSORT are guidelines how to report RCTs.
CONSORT are guidelines how to report RCTs.
Client survey methods are a typical example of assessments in therapy process research.
Client survey methods are a typical example of assessments in therapy process research.
Audio-tape recordings of therapy sessions are a typical example of assessments in therapy process research.
Audio-tape recordings of therapy sessions are a typical example of assessments in therapy process research.
Therapist self-report measures are a typical example of assessments in therapy process research.
Therapist self-report measures are a typical example of assessments in therapy process research.
Observational methods are a typical example of assessments in therapy process research.
Observational methods are a typical example of assessments in therapy process research.
ITSACORR is a specific kind of time series analysis.
ITSACORR is a specific kind of time series analysis.
ITSACORR is known to be (statistically) flawed but can be used in SCED studies with only minimal corrections in the error terms.
ITSACORR is known to be (statistically) flawed but can be used in SCED studies with only minimal corrections in the error terms.
ITSACORR is the most current type of multi-level analysis for SCED studies.
ITSACORR is the most current type of multi-level analysis for SCED studies.
ITSACORR is specifically designed to deal with short time series.
ITSACORR is specifically designed to deal with short time series.
Multilevel models (Multilevel modeling, MLM) are suggested to be computed in case of missing data and unbalanced designs.
Multilevel models (Multilevel modeling, MLM) are suggested to be computed in case of missing data and unbalanced designs.
Multilevel models (Multilevel modeling, MLM) represent the state of the art of statistical analyses in RCTs.
Multilevel models (Multilevel modeling, MLM) represent the state of the art of statistical analyses in RCTs.
Multilevel models (Multilevel modeling, MLM) are sometimes just called mixed model regressions.
Multilevel models (Multilevel modeling, MLM) are sometimes just called mixed model regressions.
Multilevel models (Multilevel modeling, MLM) should not be applied in therapy process research.
Multilevel models (Multilevel modeling, MLM) should not be applied in therapy process research.
Outcome domains in therapy process research are...
Outcome domains in therapy process research are...
Klaus Grave identified therapeutic bond as a main mechanism of change in psychotherapy.
Klaus Grave identified therapeutic bond as a main mechanism of change in psychotherapy.
Klaus Grave identified 5 mechanisms of change particularly important in psychodynamic therapies (but not in cognitive behavioural psychotherapy).
Klaus Grave identified 5 mechanisms of change particularly important in psychodynamic therapies (but not in cognitive behavioural psychotherapy).
Klaus Grave identified symptom shifts as typical change mechanisms in psychotherapy.
Klaus Grave identified symptom shifts as typical change mechanisms in psychotherapy.
Klaus Grave conducted the first meta-analysis to identify typical change mechanisms in psychotherapy.
Klaus Grave conducted the first meta-analysis to identify typical change mechanisms in psychotherapy.
Small-n-studies are well known to lead to underpowered RCTs when they are used to estimate necessary sample sizes.
Small-n-studies are well known to lead to underpowered RCTs when they are used to estimate necessary sample sizes.
Small-n-studies are essential for establishing treatment efficacy in therapy research.
Small-n-studies are essential for establishing treatment efficacy in therapy research.
Small-n-studies can be reliably analyzed using graphs and diagrams (=visual data analysis).
Small-n-studies can be reliably analyzed using graphs and diagrams (=visual data analysis).
Small-n-studies are best analyzed using multilevel random effects modeling.
Small-n-studies are best analyzed using multilevel random effects modeling.
In evaluation research, there is a distinction made in service evaluation between needs, demands, and supply. Explain what is meant by these concepts, and how they differ, using an example of your choice.
In evaluation research, there is a distinction made in service evaluation between needs, demands, and supply. Explain what is meant by these concepts, and how they differ, using an example of your choice.
________ is a study which combines results from more than one quantitative empirical study into a single estimate of the parameter.
________ is a study which combines results from more than one quantitative empirical study into a single estimate of the parameter.
_________ represents a more powerful and precise statistical test than ANOVA when used for randomized treatment studies.
_________ represents a more powerful and precise statistical test than ANOVA when used for randomized treatment studies.
Internal consistency (Cronbach's Alpha) is the standard way of assessing the ________ of a scale that is composed of multiple similar items. The assumption is that the items are equivalent or parallel, that is, that they all aim to tap the same underlying construct.
Internal consistency (Cronbach's Alpha) is the standard way of assessing the ________ of a scale that is composed of multiple similar items. The assumption is that the items are equivalent or parallel, that is, that they all aim to tap the same underlying construct.
It is important that covariates are measured ________ treatment begins; otherwise differences between conditions on the first assessment will be adjusted or equalled between conditions.
It is important that covariates are measured ________ treatment begins; otherwise differences between conditions on the first assessment will be adjusted or equalled between conditions.
In clinical research, external validity refers to the generalizability of the study's findings to other populations, settings, and interventions. Explain what is meant by external validity in the context of clinical research, and how is it defined in this case?
In clinical research, external validity refers to the generalizability of the study's findings to other populations, settings, and interventions. Explain what is meant by external validity in the context of clinical research, and how is it defined in this case?
When comparing different therapeutic interventions, what factors need to be considered to ensure a fair and accurate comparison? Describe some problems and pitfalls that need to be considered.
When comparing different therapeutic interventions, what factors need to be considered to ensure a fair and accurate comparison? Describe some problems and pitfalls that need to be considered.
What are 3 different methods to assess the reliability of an observation? Which of these methods assumes nominal scales of the ratings?
What are 3 different methods to assess the reliability of an observation? Which of these methods assumes nominal scales of the ratings?
What is “creaming”? At which step of a service evaluation could ‘creaming’ create a problem and for whom?
What is “creaming”? At which step of a service evaluation could ‘creaming’ create a problem and for whom?
In clinical research, there is a distinction made between efficacy and effectiveness studies. Explain in your own words what these terms refer to.
In clinical research, there is a distinction made between efficacy and effectiveness studies. Explain in your own words what these terms refer to.
Name four reasons why clinical psychologists (who are practitioners) might not engage in research, and explain one of these reasons by your own words.
Name four reasons why clinical psychologists (who are practitioners) might not engage in research, and explain one of these reasons by your own words.
Flashcards
Meta-analysis
Meta-analysis
A statistical method for combining results from multiple studies to estimate an overall effect size.
Small-n-studies
Small-n-studies
A type of study design that involves a single participant or a very small group of participants, with repeated measurements over time.
Clinical Significance
Clinical Significance
A measurement of the extent to which an intervention has a clinically meaningful impact.
Multilevel Model
Multilevel Model
A type of statistical model used to analyze data when there are multiple levels of nesting, such as students within classrooms within schools.
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Service Evaluation
Service Evaluation
The process of evaluating the quality and effectiveness of a service, often including needs assessment, program evaluation, and outcomes evaluation.
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Randomized Controlled Trial (RCT)
Randomized Controlled Trial (RCT)
A study design that involves comparing a treatment group to a control group, where participants are randomly assigned to each group.
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Single Case Experimental Design (SCED)
Single Case Experimental Design (SCED)
A type of experimental design that involves repeated measurement of a participant's behavior before, during, and after an intervention.
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External Validity
External Validity
The extent to which the results of a study can be generalized to other populations, settings, and times.
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ITSACORR
ITSACORR
A statistical method used to analyze data from single case experimental designs (SCEDs) that involves examining trends in data over time.
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Validity
Validity
The extent to which a measurement tool accurately reflects the construct it is intended to measure.
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Reliability
Reliability
The extent to which a measurement tool produces consistent results over time and across different occasions.
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Mixed Model Regression (Mixed Effects Model)
Mixed Model Regression (Mixed Effects Model)
A type of statistical model that is often used for analysis in randomized controlled trials, where it is assumed there are random effects associated with the treatment groups.
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Effectiveness Studies
Effectiveness Studies
The process of evaluating the effectiveness of an intervention in a real-world setting.
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Efficacy Studies
Efficacy Studies
The process of evaluating the effectiveness of an intervention under highly controlled conditions.
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ANCOVA
ANCOVA
A statistical method used to adjust for the influence of covariates on the dependent variable in a linear regression model.
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Control Group Design
Control Group Design
A research design that includes a group that receives the intervention of interest and a group that receives no intervention.
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Waitlist Control Group
Waitlist Control Group
A type of control group design that involves delaying the intervention for the control group until after the intervention group has received it.
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Active Control Group
Active Control Group
A research design that includes a group that receives a different, but comparable intervention.
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Outcome Evaluation
Outcome Evaluation
The process of evaluating the outcomes of a program or intervention.
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Bonferroni Correction
Bonferroni Correction
A statistical method used to adjust for multiple comparisons in a statistical analysis.
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Face Validity
Face Validity
The extent to which a measurement tool accurately reflects the construct it is intended to measure.
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Cronbach's Alpha
Cronbach's Alpha
A statistical method used to assess the internal consistency of a scale, based on the correlation between items.
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Inter-rater Reliability
Inter-rater Reliability
A statistical method used to assess the extent to which ratings from multiple observers agree.
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Creaming
Creaming
The practice of selecting participants for a study based on characteristics that may bias the results.
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Needs Assessment
Needs Assessment
The process of measuring the needs of a target population and matching them to service provision.
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Demand Assessment
Demand Assessment
The process of evaluating the demands for services, or expectations of the target population for service provision.
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Supply Assessment
Supply Assessment
The process of evaluating the supply of services or resources available to meet the needs of the target population.
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Matched Control Group
Matched Control Group
A specific type of control group design where participants are assigned to the control group based on their scores on a particular measure.
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Time Series Analysis
Time Series Analysis
The practice of recording data in a sequential manner, often used in single-case experimental designs.
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Mechanisms of Change
Mechanisms of Change
The process of identifying and analyzing the mechanisms through which an intervention produces change.
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Exam Research Methods - 2019/20
-
Clinical Significance:
- Can be assessed using Kendall's equivalency testing.
- Expressed when a client's post-intervention score is outside the range of the dysfunctional population.
- Reached when intervention and control groups differ significantly on primary outcome.
-
Seligman (1995) Psychotherapy Properties:
- Psychotherapy in the field is self-correcting.
- Therapy duration isn't fixed in the field.
- Patients in field settings often have multiple problems.
- Clinical equivalence is often a focus in field settings.
-
Generalizing Small-N Studies:
- Clinical replication studies can help generalize results.
- Multi-level methods can be used to generalize results.
- Meta-analyses based on effect sizes are another method for generalization.
- Small N studies may not be generalizable due to limited power.
-
Audit in Clinic Research:
- Sets up procedures in services.
- Refers to treatment efficacy studies in outpatient settings.
- Comparable to program evaluation.
- Illustrates a cyclical evaluation process.
-
Neuroscientific Methods:
- EEG has higher spatial resolution than fMRI.
- TMS is not generally used/warranted for subcortical structures.
- PET can show causal effects, but is not the only method.
- Neuroscientific methods evaluate brain function and structure.
-
Outcome Evaluation:
- Includes client outcomes, satisfaction, and service benefits.
- Outcome evaluation assesses positive and negative outcomes in service evaluations.
- Outcome evaluations also include case tracking.
-
Meta-analyses:
- Combined effect sizes are crucial for proper calculation.
- Interval-based estimates of parameters are derived from replication principles.
- Generalizing data from small-N studies is possible through meta-analyses.
- Meta-analyses account for heterogeneity between studies.
-
Measurement Validity:
- Cronbach's alpha assesses internal consistency (for metric data).
- Face validity (using expert ratings) can also be used.
- Measurement validity pertains to the meaning of measurements.
-
"Random Effects" in Studies:
- Parameter estimations remain stable across different studies.
- Can be shown in non-overlapping pairs approaches in single-case designs.
- Random effects models generalize meta-analysis results to the study population.
-
SCED Methodology:
- Refers to single-case experimental designs (SCEDs).
- Relies on a few participants.
- Advantages in clinical research include flexibility.
- ABAB studies are one type of SCED.
-
Randomized Controlled Trials (RCTs):
- Small pilot studies may underestimate statistical power in RCTs.
- ANCOVA may be used instead of ANOVA if covariates exist.
- The inclusion of a control group is key for a controlled trial.
- Pre-Post-Follow-up (PPF) design is suitable for evaluating clinical outcomes and treatment efficacy.
-
Meta-analysis limitations:
- Number of included studies is limited in meta-analysis.
- Data quality influences meta-analysis reliability.
- Qualitative information is ignored.
- Effect sizes are not always meaningful indicators.
-
CONSORT:
- Consolidated Standards of Reporting Trials.
- Diagrams guide the steps of statistical analysis in RCTs.
- Guidelines ensure accurate reporting of RCTs.
- Checklist aids in minimizing bias in RCT analyses.
-
Therapy Process Research Assessments:
- Client surveys are methods used.
- Audio-taped recordings and therapist self-reports are common methods.
- Observational methods can also be useful.
-
ITSACORR:
- A type of time-series analysis.
- Flawed but applicable in single-case experiments.
- Appropriate for short time series.
- Best for short time series analyses.
-
Multilevel Models (MLM/Multilevel Modeling):
- Suitable for missing data and unbalanced designs.
- Useful in statistical analyses of RCTs.
- Often referred to as mixed model regressions.
- Avoid use in therapy process research.
-
Outcome Domains:
- Diagnoses, symptoms, client experience, (e.g., consumer satisfaction) and change in couple communication.
-
Klaus Grave (Mechanisms of Change):
- Identified the therapeutic bond as a main change mechanism.
- Identified 5 change mechanisms in psychodynamic therapy.
- Found change mechanisms associated with symptom shifts in psychotherapy.
-
Small-N Studies:
- Can lead to underpowered RCTs when determining sample sizes.
- Essential in therapy research for evaluating treatment efficacy.
- Data analysis using graphs and diagrams can be used.
- Best analyzed using multilevel random effects modeling.
-
Service Evaluations (Needs, Demands and Supply):
- Needs refer to the services needed.
- Demands refer to the requested service.
- Supply is the actual service availability.
-
Filling Missing Words (Quantitative Methods):
- Meta-analysis combines results from multiple studies into one estimate.
- ANOVA is often used for randomized treatment studies and is statistically powerful.
- Internal consistency, assessed with Cronbach's alpha, is for items on a scale.
-
External Validity:
- Refers to how findings can be generalized to other contexts.
- Defined in clinical research using the ability to evaluate the intervention in multiple contexts.
-
Comparing Interventions:
- Consideration of the measurement tools for both groups is essential.
- Avoid methodological pitfalls and problems.
- Potential bias exists if groups differ in terms of participants.
-
Reliability Assessments:
- Inter-rater reliability, where multiple raters assess observations.
- Agreement and consistency among raters (inter-rater reliability) can be measured to test reliability.
-
Creaming:
- Process where clients who would benefit the most from a service are sought.
- Happens during service evaluation, causing potential issues.
- Creaming can create problems by selecting clients who may not accurately represent the general population of clients in need.
-
Efficacy vs. Effectiveness Studies:
- Efficacy studies examine whether an intervention works under ideal conditions.
- Effectiveness studies determine whether an intervention works in routine clinical settings
-
Clinical Psychologist Research Participation Barriers:
- Reasons include workload and time constraints.
- Lack of resources/fundings.
- Lack of training/experience.
- Concerns regarding experimental design implementation.
-
Clinical Significance Assessment:
- Determining whether an intervention's effect is meaningful in a clinical setting.
- Difficulty is in defining a meaningful effect size.
- Statistical significance does not equal clinical significance.
-
Unpaired t-test for RCTs:
- Not suitable for group comparison in RCTs.
- Unpaired t-test can overestimate significance when comparing two non-independent groups.
-
Transference-Focused Therapy Evaluation:
- Ethical considerations may influence control group selection.
- The chosen control group should ideally have similar characteristics to the experimental group.
- Participants for control groups must be adequately selected.
- Using ANCOVA to account for baseline differences through covariates in order to avoid biases and to appropriately generalize data
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