|
|
RESEARCH & METRICS TOOLKIT
The PSI Research & Metrics Toolkit has been used to guide the design and analysis
of research studies across the PSI world. The
Toolkit assures the quality and comparability of studies, communicates
best practices, and forms the basis of capacity building efforts aimed at
PSI research managers in nearly 60 countries.
Annual
Research Plan
The annual research plan is a document produced by country researchers
that summarizes the key strategic research activities for a given year.
APA Citation Style
This toolkit chapter is a guide to the use of American Psychological
Association (APA) citation style, an
essential attribute of social science publications.
Equity Analysis: Computing the Concentration Index
As PSI’s mission is to measurably improve
the health of poor and vulnerable people in the developing world, the
Research & Metrics department developed the concentration index to
assess how equitably health behaviors are practiced among priority
audiences. This toolkit chapter explains how to calculate the
concentration index.
*For more information, please see our presentation by the PSI Strategic Planning
Group for Targeting the Poor and Vulnerable:
The Concentration Index
Malaria Targeting (NEW)
This chapter gives step-by-step instructions to PSI
social marketers and researchers on what to do to obtain targeting DALYs
for malaria prevention and treatment products. Find the malaria
targeting questionnaire
here.
Measuring Sexual Partnership Concurrency
(draft)
Learn how PSI monitors levels and trends of sexual partnership
concurrency. This chapter provides questions to include in TRaC
questionnaires and explains the rationale underlying the development of
these questions.
Performance Review: Behavioral Indicators
Learn to analyze behavioral data according to standard definitions and
procedures to produce the behavioral component of PSI's Performance
Review.
Sampling Hard-to-Reach Populations
This toolkit chapter explains cluster sampling, time-location sampling
(TLS), and respondent-driven sampling (RDS), the three most widely used
sampling strategies for quantitative studies with hard-to-reach
populations.
Sampling Strategies
Learn to choose the most appropriate sampling strategy and to
calculate the necessary sample size for your study.
Studies: MAP
Phase I
Learn to design and implement a MAP phase I study, producing the
indicators coverage and quality of coverage.
Studies: MAP
Phase II
Learn to design and implement a MAP phase II study, integrating GIS
technology to determine level of access to products and services.
Studies: MAP Study Design
PSI uses MAP studies to attain
evidence of the coverage, quality, equity of access, and efficiency of
social marketing product and service delivery systems. This toolkit
chapter explains how to design an effective MAP study.
revised
Studies: TRaC, Communications, and the Disability-Adjusted-Life-Year
(DALY) Calculator
This toolkit chapter provides instructions on how to collect the
necessary data to enable Research & Metrics to determine and attribute
DALYs averted for the health impact of communications activities.
revised
Studies:
TRaC, Condom Sales, and the Disability-Adjusted-Life-Year (DALY)
Calculator
This toolkit chapter provides step-by-step instructions to PSI social
marketers and researchers on how to use TRaC surveys to generate the HIV
risk profile of PSI condom users.
Studies: TRaC & the Dashboard to Decision Making Process
Dashboard to Decision Making is an easy-to-use process that allows
social marketers to better understand and prioritize the key findings
from TRaC and MAP dashboards. The process is helpful in making
evidence-based programming decisions and to more strategically implement
and monitor interventions.
Studies: TRaC Study Design
Learn to follow the backwards research process to design a TRaC Study
that will produce relevant results for programmatic decision making.
Studies: TraC Summary Report Writing
*COMING SOON.
(Please see our
Round One and
Round Two samples on KIX)
Tools:
PDAs for Data Collection
This toolkit chapter describes how to implement the use of personal
digital assistants for data collection in the field.
Series: Dashboard Analysis
Dashboard Analysis Series One: Pre-Analysis Data
Preparation
The four part Dashboard Analysis Series is a step-by-step guide to
effectively analyze data collected from TRaC studies. Series one deals
with pre-analysis data preparation.
Dashboard
Analysis Series Two: Monitoring Analysis
Monitoring is the process of assessing levels and trends of indicators
relating to behaviors, risk/need, behavioral determinants, and exposure
to social marketing activities over time in the targeted population.
Dashboard
Analysis Series Three: Segmentation Analysis
Segmentation analysis is a process of dividing a heterogeneous population
into homogenous groups based on their risk and behavior of interest, and
then identifying behavioral determinants and population characteristics
that are significantly different for behaviors versus non-behaviors
Dashboard
Analysis Series Four: Evaluation Analysis
Evaluation analysis examines whether there is a relationship between
exposure to a health intervention and the magnitude of behavior
change. This toolkit chapter illustrates how to conduct analysis for
comparing indicators across different levels of exposure.
Dashboard
Analysis Series Five: Analysis Methodology for Complex Survey Data
Traditional analysis methodologies are often not ideal for studies that
employ a sampling strategy other than independent random sampling. This chapter explains when and how to control for study design
variables.
Series: Scales
Series Introduction (draft)
Chapter 1: Literature Reviews for TRaC Studies (draft)
Reviewing literature prior to designing a TRaC study can greatly improve
the process of developing multi-item scales. This chapter
describes how to design and conduct a literature review and how to
synthesize and use your findings.
Chapter 2: Introduction to Scales (draft)
This chapter introduces definitions and concepts that are essential to
understand prior to scale development. Learn why PSI uses
multi-item scales, how to evaluate multi-item scales, and the
differences between multi-item scales and indices.
Chapter 3: Writing Scale Items and Response Options (draft)
Learn how to write concise and well-crafted scale items and choose
appropriate response items for scales. This chapter also provides
guidance on how to develop instructions for scales.
Chapter 4: Scale Development and Adaptation (draft)
Learn how to modify existing multi-item scales and generate items
for new scales with input from program staff. Determinants and
dimensionality are explained.
Chapter 5: FoQus on Scales: Data Collection (draft)
Learn how to adapt an interview guide for a specific health issue
and target audience, effectively use free-listing within the context of
focus groups, and accurately transcribe and translate qualitative data.
Chapter 6: FoQus
on Scales: Data Analysis and Application
(draft)
Learn how to properly code qualitative data. This chapter provides a
coding dictionary as well as guidance on how to best adapt the
dictionary for a specific health area and target audience. In addition,
the reader will learn how to synthesize coded qualitative data and
generate summary statements. Generation and adaptation of scale items
are explained.
Chapter 7: FoQus on Scales: Data Interpretation &
Item Generation and/or Modification Workshop (draft)
Learn how to organize and conduct a data
interpretation and scale development workshop in which you will conduct
sessions on data interpretation, data review, item generation, and scale
development. Finally, you will learn to synthesize output from the
workshop to finalize scales for pre-testing and pilot.
Chapter 8: Expert Review and Forward-Backward Translation (draft)
Learn the procedures to translate and back-translate multi-item scales
and the role of experts in the review of multi-item scales.
Chapter 9: Pre-Testing Scales (draft)
Learn to conduct pre-test interviews and apply the results for the
improvement of multi-item scales.
Chapter 10: Pilot Testing Scale Items (draft)
Learn the basic procedures for piloting multi-item scales and the
procedures to determine scale dimensionality. This toolkit chapter will
enable you to assess scale and sub-scale reliability.
|
|
|