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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Bonanno's Theory of Grieving01:17

Bonanno's Theory of Grieving

Grieving is a complex psychological and emotional process that varies significantly among individuals. George Bonanno's research on bereavement identified four distinct patterns of grieving, offering a nuanced understanding of how people cope with significant loss, such as the death of a spouse, over extended periods. These patterns — resilience, recovery, chronic dysfunction, and delayed grief — highlight the diversity in emotional responses and adaptive mechanisms.
Resilience
The resilience...
Residual Plots01:07

Residual Plots

A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...

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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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Published on: December 9, 2015

A retrospective pattern analysis.

Sharyl Eve Toscano1

  • 1School of Nursing, University of Alaska, Anchorage, AK 99508, USA. etoscano@uaa.alaska.edu

Journal of Holistic Nursing : Official Journal of the American Holistic Nurses' Association
|January 26, 2013
PubMed
Summary

This study applies pattern analysis to a 2-year relationship with a mother of a child with spina bifida. It explores movement, time, space, consciousness, and client connectedness for therapeutic practice.

Keywords:
aestheticscaregiver burdencaregiversholistic nursingnursing as an artspina bifida

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Area of Science:

  • Healthcare
  • Psychology
  • Sociology

Background:

  • A 2-year relationship with a mother of a child with spina bifida was examined.
  • The study focuses on understanding the dynamics within this therapeutic relationship.

Purpose of the Study:

  • To explore the application of pattern analysis retrospectively.
  • To analyze the relationship through the lenses of movement, time, space, and consciousness.

Main Methods:

  • Retrospective pattern analysis.
  • Examination of five distinct patterns.
  • Analysis of transitions, transforming experiences, and choice points.

Main Results:

  • Identification of five key patterns within the relationship.
  • Understanding of transitions and choice points in therapeutic progression.
  • Exploration of client connectedness.

Conclusions:

  • Pattern analysis offers valuable insights into therapeutic relationships.
  • Findings have implications for praxis in similar contexts.
  • The study highlights the importance of understanding client connectedness.