Needs Assessment, 2nd Ed. - Print
A Systematic Approach to Data Collection
Dimensions: 10.000000 × 7.000000 × 1.000000 in
Binding Type: Paperback
The idea of collecting citizen input before making decisions that would affect the lives of the citizens is fundamental to a democratic society where the people in power are supposed to serve the citizens.
Collecting this information becomes crucial when it is the citizen’s money that would be spent by those in power.
Needs Assessment: A Systematic Approach to Data Collection provides a road map for collecting citizen input whereby the input is reliably collected and honestly used, especially in the age of the connected citizen who has numerous digital ways of making oneself heard.
As is the case in any scientific method, this book offers a treatment that can be conducted by anyone who is able to follow the directions in the book correctly.
This makes the process repeatable and testable, both of which are critical to the scientific method.
For the recreation practitioner, this book would show the best practices of collecting citizen data and, most important, allow the recreation professional to recognize the unscientific attempts at citizen data collection and be wary of information generated by less reliable methods.
1 Citizen Input as the Voice of the People
Voices That Change
Voices That Matter
2 Key Objectives in Citizen Data Collection
User vs Nonuser
What People Think
What People Do
Who the People Are
Customizing a Study
3 Methods of Collecting Input
Qualitative vs Quantitative Methods
Selecting a Method
4 Talking to the Community
Elements of the Focus Group Meeting
5 Asking Questions
Questionnaire Wording and Formatting
Factors to Consider in Questionnaire Design
Conventions to Follow for Questionnaire Format
6 Collecting Data
Modes of Data Collection
7 Where the Data Come From
Definition of the Population and Listing the Population
Obtaining Representativeness in the Sample
Alternatives to Simple Random Sampling
Determining the Optimum Sample Size
8 Analysis of Quantitative Data
Variables: Independent and Dependent
Setting Up the Data for Analysis
Analysis of Trends
Tests of Difference
Analysis of Relationships
Factor Analysis and Reliability Checks
9 Analysis of Narrative Data
The Theory of Narbs
Analytical Process and Outcomes
10 Data Utilization