Introduction to Zoo Research

  • What is Research in Zoos?

    • Research = investigative efforts of advancing theory, discovering new knowledge, solving practical problems, or helping a process perform better

    • Conducted Either:

      • In-situ = conservation within animal's natural habitat

      • Ex-situ = conservation outside of animal's natural habitat or ecological niche

 

  • Benefits and Challenges to Zoo Research

    • Research in Zoos Serves to:

      • Help in furthering zoo operations

      • Increase knowledge and improve practice in breeding, conservation, wellbeing, etc.

      • Provide access to animals and biological samples to the scientific community

    • Challenges in Zoo Research:

      • Lack of controllable conditions

      • Opportunistic species status

      • Small sample size

 

  • Scientific Method - How we Approach Research

    • Observe and describe something, develop research questions

    • Formulate a hypothesis that explains something

    • Use hypothesis to make predictions

    • Test predictions (via designing an experiment or observation)

    • Reject or accept the null hypothesis (via data analysis)

    • Discuss, connect, disseminate, and peer review

    • Modify hypotheses and repeat

 

  • Developing Productive Research Questions

    • You can support it with empirical data

      • Empirical = information acquired through experimentation and structured observation

    • The answer typically has implications beyond the single case you study

    • Does not seek to make value judgements, but can inform them

 

  • Developing Productive Hypothesis(es)

    • Hypothesis = a tentative statement that proposes a possible explanation to some phenomenon or event

    • Productive hypotheses are testable, falsifiable statements, which help to develop predictions and identify tentative relationships

    • Two parts to a formalized hypothesis (must contain both):

      • "If" portion contains the testable proposed relationship

      • "Then" portion is the prediction of expected results from an experiment

 

  • Developing your Experiment: Identifying your Variables

    • Variable(s) = factors within an experiment that change and are measured

    • Independent Variable (aka explanatory, predictor, casual, experimental)

      • Variables we manipulate or compare, which may change the dependent variable

      • Often have different levels (e.g., high, medium, low)

    • Dependent Variable (aka response, outcome, explained)

      • Variable expected to change as a result of manipulating  the independent variable

      • What we measure, the presumed effect

    • Control Variables (aka control, constant)

      • Factors we deliberately maintain/leave unchanged

    • Confounding Variable(s) (aka constant)