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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...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Qualitative Analysis01:10

Qualitative Analysis

Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
Qualitative Analysis03:46

Qualitative Analysis

For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square distribution,...
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...

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Related Experiment Video

Updated: May 26, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Being a quantitative interviewer: qualitatively exploring interviewers' experiences in a longitudinal cohort study.

Sarah Derrett1, Sarah Colhoun

  • 1Injury Prevention Research Unit, Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand. sarah.derrett@otago.ac.nz

BMC Medical Research Methodology
|December 15, 2011
PubMed
Summary

Interviewer experiences in quantitative health studies are vital. Building participant relationships and utilizing support systems are key to managing challenges and ensuring data quality in longitudinal research.

Related Experiment Videos

Last Updated: May 26, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Area of Science:

  • Health Services Research
  • Qualitative Research Methods
  • Longitudinal Study Design

Background:

  • Health outcome studies often depend on interviewers using structured questionnaires.
  • Interviewer experiences in these quantitative studies are under-explored.
  • This study examines interviewer experiences in the Prospective Outcomes of Injury Study (POIS) in New Zealand.

Purpose of the Study:

  • To qualitatively explore the experiences of interviewers in a longitudinal quantitative health study.
  • To identify challenges, coping strategies, and support needs of interviewers.
  • To understand how interviewers navigate researcher expectations and participant relationships.

Main Methods:

  • A focus group was conducted with nine interviewers from the POIS study.
  • Interviewer experiences, problems, strategies, and support systems were explored.
  • The data were audio-recorded, transcribed, and analyzed thematically.

Main Results:

  • Positive aspects included building relationships, gaining insights, and participant feedback.
  • Difficulties involved managing incomplete stories, missed appointments, and participant distress.
  • Interviewers successfully balanced researcher expectations with participant needs, emphasizing ethical relationships.

Conclusions:

  • Interviewers skillfully managed researcher expectations and participant relationships.
  • Protocols for sensitive situations and debriefing support are crucial for interviewers.
  • The human element and personal connections are essential for effective quantitative data collection and study success.