Rsh 1 Final Flashcards

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1
Q

Qualitative approach

A
  • Definition: non-numerical data, small samples (focus groups, interviews, case studies)
  • Usage: in-depth analysis of specific cases or individual responses
  • Advantages: detailed data collection, flexibility in approach, focus on human experiences
  • Disadvantages: subjective and time-consuming, difficult to present results, often less accepted in certain academic or scientific fields
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2
Q

Quantitative approach

A
  • Definition: numerical data, larger samples, experimental, quasi-experimental, and statistical techniques
  • Usage: testing hypotheses, analyzing trends, generalizing findings
  • Advantages: objective and replicable, broad generalizability, use of advanced statistical tools
  • Disadvantages: limited understanding of social meanings, artificial research environments, lack of access to specific or nuanced feedback
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3
Q

Mixed-Method approach

A
  • Definition: combines qualitative and quantitative methods
  • Usage: addressing complex research questions by balancing depth and breadth
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4
Q

Triangulation

A

use of multiple methods (3 techniques) to assess the same data, reducing reactivity and improving validity

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5
Q

Reflexivity

A

awareness of how observation changes participants’ behavior

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6
Q

Top-Down

A

starts with a theory - makes a prediction - gathers data - confirms or rejects prediction

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7
Q

Bottom-Up

A

starts with data - identifies patterns - develops a theory

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8
Q

Archival Research

A
  • Definition: uses existing documents or records
  • Usage: to study human activity in natural settings or phenomena difficult to observe directly
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9
Q

Focus Groups

A
  • Definition: group discussions to gather insights into participants’ experiences and beliefs
  • Usage: for qualitative understanding of perspectives
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10
Q

Interviews

A
  • individual discussion to gather specific insights
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11
Q

Types of interviews

A

structured, unstructured, semi-structured

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12
Q

Structured interview

A

pre-planned, standardized questions

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13
Q

Unstructured Interview

A

conversational, flexible topics

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14
Q

Semi-Structured Interviews

A

combination of planned and flexible questions

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15
Q

Case Studies

A
  • Definition: in-depth analysis of one or a few cases
  • Usage: detailed exploration of unique situations
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16
Q

Descriptive research

A

Explains what is happening. Used to describe characteristics, frequencies, or categories (often qualitative)

17
Q

Experimental research

A

Explains why something happens. Tests cause-and-effect relationships.

18
Q

Systematic observation

A

predetermined behaviors are noted in an organized way

19
Q

Naturalistic observation

A

observing behavior in natural settings (high ecological validity)

20
Q

Laboratory observation

A

observing behavior in a controlled environment (low ecological validity)

21
Q

Participant observation

A
  • Definition: researcher interacts with participants while observing
  • Advantages: rich data, flexibility, deep understanding
  • Disadvantages: expensive, time-consuming, small sample size, potential bias
22
Q

Concealed observation

A

participants unaware they are being observed (avoids reactivity)

23
Q

Ecological validity

A

credibility of a study based on its natural setting

24
Q

Coding system

A

method for categorizing and recording observed behaviors (interval, duration, frequency recording)

25
Q

Intra-observer reliability

A

consistency in one observer’s coding

26
Q

Inter-observer reliability

A

consistency across multiple observers

27
Q

Blind observation

A

observer unaware of the study’s purpose to avoid bias

28
Q

Contrived observation

A

artificially altering a variable to observe changes in behavior

29
Q

Single-Item indicator

A

a single question or statement used to measure a specific variable

30
Q

Format of program evaluation report

A

Introduction:
- background: summarize key points , highlight relevant prior studies or theories, explain why program or intervention being evaluated is important
- objectives: state overall goals of evaluation, describe population or setting being evaluated
- relevance: explain how evaluation fills gaps in knowledge or meets specific needs (practical, theoretical, or policy-driven)
Current Project:
- hypotheses: clearly articulate key research questions or hypotheses guiding the evaluation
- approach: specify whether evaluation uses top-down or bottom-up approach, describe why this approach is appropriate for evaluation goals
Study 1 and 2:
- purpose: define objectives
- methods: describe design, participants, instruments, data collection procedures
- results: present findings in a clear, concise manner. Use tables, graphs, or summaries of statistical analyses when applicable
- discussion: interpret findings and discuss whether they align with initial hypotheses, explain implications for program
General discussion:
- key findings: summarize major results from both studies, highlighting areas of agreement or contradiction
- connection to prior research: relate findings to previous literature or theories discussed in intro
- recommendations: provide evidence-based suggestions for improving program
- suggestions for future studies: identify areas where further research is needed