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Public Relations Research Study. Tyler Hoover. Leigh Miller. Nicola Vickers. Jared Artman. L. S. F. ancaster. cience. actory.
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Public Relations Research Study Tyler Hoover Leigh Miller Nicola Vickers Jared Artman
L S F ancaster cience actory To create an environment for learning which helps children develop curiosity, think creatively and build confidence as they learn the principles of science and the application of science in engineering and technology. MISSION STATE MENT
Q R esearch uestions RQ 1 : What do Lancaster County educators and parents know about the Lancaster Science Factory? RQ2: How do Lancaster County educators and parents that are familiar with the Lancaster Science Factory perceive the organization? H1: The more familiar Lancaster residents are with Lancaster Science Factory, the better perception they will have of the organization. RQ3: How can the organization promote science, technology, engineering, and mathematics (STEM) careers? Variables: KNOWLEDGE, PERCEPTION and PROMOTION
L M iterature ethods and Two types of data analysis were used – Questionnaires In-depth Interviews Social Exchange Theory
D R ata esults
D R esults ata • Educators and Parents Perception based on a 5-point Likert Scale • Parent, n=4 and Educator, n=7 • 5-point Likert Scale, 1.00= not satisfied to 5.00= very satisfied
D S iscussion ection • RQ 1 : Lancaster Science Factory achieved its mission statement amongst in-depth interviewees • RQ 2 : Based on data, educators and parents scored the organization on high level or perception • H1 : The hypothesis was not proven, but individuals do not need to be highly familiar to be promoted • R3 : Interest and Improvement in STEM had increased after students visited the Lancaster Science Factory
R ecommendations 1 Allocating a time period for distribution other than the holidays 2 Handing out the questionnaire to the individual rather than the school’s representative 3 Distribution of questionnaire would be beneficial if done on site 4 Focusing in depth on one variable rather than multiple variables