Week 1
Week 1/2
Week 3
Week 4
100

Name the steps to the research process?

  1. Define the problem (or objective) to be addressed by the project
  2. Divide the principle problem into subproblems (i.e. clear research questions)
  3. Review the literature, identifying theoretical frameworks, hypotheses, and assumptions that underlie the research effort (Conduct a Lit Review)

    School of thought you’re working within -- theoretical framework

    Example: structural functionalism - society works like a machine; everything in society works like cogs in a wheel

  4. Develop a specific plan for addressing the research questions: Determine how to measure concepts; Develop a sampling/recruitment plan; Create a data collection protocol

  5. Collect, organize, and analyze data related to the problem

  6. Interpret the meaning of the data as they relate to the research question

  7. Provide recommendations based on interpretation of data



100

Describe the difference between Basic & Applied Research?

  1. Basic Research: enhances knowledge about the physical, biological, psychological, or social world or sheds light on a phenomenon. Projects which can advance theoretical conceptualizations about a particular topic. 

  2. Applied Research: projects which can inform human decision making about practical problems

    1. Dealing with an immediate need

    2. Addresses issues that have immediate relevance to current practices, procedures, or policies

    3. Often involves addressing questions in one’s immediate work environment with the goal of solving a problem

    4. Example: All practicum projects are applied research 

100

Explain the components of Informed Consent


  • Participants can refuse or withdraw at anytime

  • they should understand all risks, harms, and benefits

  • must be informed of anonymity vs. confidentiality

100

What are types of Qualitative Data Collection?

  1. Interviews

  2. Focus Groups

  3. Content of Analysis of Existing Documents

  4. Observation (direct/participant)

200

What do we mean by "research is iterative and cyclical"?

  • One might have to repeat steps throughout the process; outcomes become basis for new research.

  • Returning to previous steps; interpreting the findings does not mean research is complete

  • A single research project doesn’t prove or disprove anything; it either shows or doesn’t show support for a hypotheses

  • Move back and forth between steps, revising and changing the plan

  • Cyclical - we come back to the beginning; we never prove anything; we never have a direct answer

    • We just have data that helps us make decisions, although never perfectly 

200

What are paradigms? Why do they matter? List the five types and state which ones are are quantitative, qualitative, or mixed?

Philosophical assumptions in research; they guide our research methods.

  • Positivism

    • More common in hard science

    • Goal is to develop hard truths

    • Adheres to hypothesis-deductive method

    • Mainly quantitative methods

  • Post-positivism

    • More common in social science

    • Recognizes unpredictability of human behavior

    • Show patterns/tendencies but never “proves”

    • Still adheres to hypothesis-deductive method

    • Mainly quantitative methods

  • Constructivism (or Social Constructivism)

    • Truth can mean different things for different people

    • Can’t use numbers to understand people

    • Mainly qualitative methods

    • Collect a multiplicity of participant perspectives and then determines themes/theories

  • Critical-ideological

    • Social/political forces shape reality

    • Focus on historical power imbalances and subjugation of less-empowered social groups

    • Engages participants to be involved in research “participatory action research”

    • Employs both qualitative and quantitative methods               

  • Pragmatic        

    • Use the problem to decide the method            

    • “Whatever approach works” is used        

    • Oriented toward real-world practice            

    • Not committed to any one philosophy            

    • Often employs mixed-methods approaches    

200

How does one achieve Confidentiality? 

  • Collect data in a private location; 

  • Do not discuss information about individual participants with ANYONE else

  • Deep surveys and interviews in a secure location

  • Securely dispose of completed material when no longer needed

200

How is Qualitative Data collected?

  1. Iterative

    1. Moves back and forth between data collection and analysis

    2. Collect, inspect, then collect again

  2. Often starts with very general research questions

    1. Ex: How is the program perceived by participants?

300

Explain the difference between Analyzing and Interpreting data

*Analyze - making it numerical; using descriptive statistics (percentages)

*Interpret - Say what does that mean in the context of literature and theory

300

Define Literature Review. What is it's purpose?

Definition: Describes theoretical perspectives and previous research findings related to the problem (essentially what patterns do we see on this topic?)

  1.  Purpose

    1. Find what others have done in areas similar but not necessarily identical    

    2. See if your research question has already been answered    

    3. Help form hypotheses for deductive projects        

    4. Explore new ideas, perspectives, approaches        

    5. Find how others have handled methodological and design issues (don’t reinvent the wheel)

    6. Help you interpret and make sense of your findings

300

What is the difference between Anonymity vs Confidentiality?


    • Anonymity: there is no identifying information

      • Researcher cannot match a given response with a given respondent 

    • Confidentiality: Researcher can identify who gave a response but promises to not reveal this publicly

300

When do you use interviews?

To answer questions such as:                        

  1. What does the program look and feel like to the participants?                

  2. What do stakeholders know about the project?                    

  3. What thoughts do stakeholders have concerning program operations, processes, and outcomes?                    

  4. What are participants’ and stakeholders’ expectations?

  5. What changes do participants perceive in themselves as a result of their involvement in the project? (impact but not TRUE impact)

400

Why is research important in the public sector?

  1. To determine:

    1. What social problems need to be addressed

    2. If interventions are feasible

    3. If interventions are making an impact

    4. If we are reaching the appropriate population

    5. Whether participants are satisfied

    6. If disparities exist in our programs/policies for marginalized groups

  2. Rising demand for systematic data in the nonprofit sector

    1. Funding agencies are requiring evaluation more and more

    2. National surveys show that most nonprofits are collecting some kind of data

      • Tracking is limited ways and don't find data useful

      • Barriers: not enough expertise, not enough time, technology

Basically: grants/funding; learn how to better serve a community

400

What are the types of research design projects?

  1. Descriptive: If we are trying to describe a phenomenon, we often use descriptive statistics (quantitative - means, medians, percents, proportions). Descriptive research question is where the answer is expected to document the existence and status of something (Nishishiba p.40)

    1. What share of streets in Little Rock are cul-de-sacs; what share of people feel close to their neighbors? These help guide research. 

  2. Exploratory: in depth phenomenon; trying to find the “why”. You want in-depth rich detail. Use qualitative data

    1.  Example: what are cul-de-sac residents perceptions of their neighbors?

  3. Explanatory projects: cause and effect; inferential stats; you want to determine if X caused Y.

    1. Example: How much more time do children spend playing outdoors if they live on a cul-de-sac?

400

Name the four types of sampling methods in non-probability sampling

  • Convenience sampling:

    • Relies on subjects that are easy to study (whoever shows up to parent-teacher conferences)

    • Will have more bias; get responses about feelings that are biased

  • Purposive sampling

    • Select subjects based on usefulness or provide most useful information (key informants)

    • Not getting a representative sample; can pick and choose extreme viewpoints

  • Snowball sampling

    • Each subject is asked to suggest additional people to interview (used when population is difficult to locate: crime, drugs, homeless)

  • Quota sampling

    • Units are selected on the basis of pre-specified characteristics (50% first year; 50% second year)

500

What is a "culture of evaluation"?

  • Trying to understand groups at every point where they need you

  • Data collection is integrated in the day-to-day; an organization builds in data collection and evaluation into everything they do

500

What are the steps in Qualitative Analysis

  1. Organizing the Data

  2. Finding and Organizing Ideas and Concepts

  3. Building Overarching Themes in the Data

  4. Ensuring Reliability and Validity in the Data Analysis and in the Findings

  5. Finding Possible and Plausible Explanations of the Findings