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Related Concept Videos

Case Studies01:22

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
Nursing Evaluation01:15

Nursing Evaluation

The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
Section...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Data Collection by Experiments01:13

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
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Related Experiment Videos

Model evaluation and case series data.

Andrew C Olson1, Cristina Romani

  • 1School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK. olsonac@bham.ac.uk

Cognitive Neuropsychology
|July 4, 2012
PubMed
Summary
This summary is machine-generated.

Aggregating neuropsychological patient data can be misleading, but not aggregating risks information loss. Theoretically defined methods for combining data and formal statistical modeling are crucial for robust case series analysis.

Related Experiment Videos

Area of Science:

  • Neuropsychology
  • Statistical Modeling
  • Research Methodology

Background:

  • Data aggregation in neuropsychology presents challenges, potentially leading to misleading conclusions.
  • Individual patient data offers rich insights but may result in information loss if not appropriately analyzed.

Purpose of the Study:

  • To explore the complexities of data aggregation and model evaluation in neuropsychological research.
  • To advocate for theoretically grounded approaches to combining patient data.
  • To highlight the utility of statistical models and formal methods in analyzing case series.

Main Methods:

  • Discussion of data aggregation principles and their implications.
  • Presentation of illustrative examples from empirical research.
  • Argument for the use of statistical models and formal model selection in multiple-case studies.

Main Results:

  • Aggregation requires a clear theoretical basis, with methods tailored to specific research questions and data characteristics.
  • Statistical models offer quantitative fit measures, parameter estimation for theoretical dimensions, and robust model selection.
  • Formal modeling of aggregated patient data is not universally superior; method choice depends on context.

Conclusions:

  • Theoretically guided aggregation and statistical modeling enhance the analysis of neuropsychological case series.
  • Complementary use of single-case studies, multiple-case studies, statistical models, and process models is recommended.
  • Methodological choices should align with research questions, data properties, and practical constraints.