Research Design

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Last updated 3:54 AM on 5/29/26
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167 Terms

1
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Why Should We Care About Research?

  • Foundation of ________

  • Informs ________

  • Our field is based on ________, compared to those with MBAs

  • Relevant to everyday life (we don’t fall for fads)

  • Foundation of knowledge

  • Informs knowledge

  • Our field is based on evidence/science, compared to those with MBAs

  • Relevant to everyday life (we don’t fall for fads)

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Why Should We Care About Research?

  • We are research ________ (creates information) and research ________ (understands research - practioners)

  • We are research producers (creates information) and research consumers (understands research - practioners)

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What Is The Purpose Of Research?

  • _______ between variables (positive, negative, and none)

  • Relationships between variables (positive, negative, and no relationship)

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What Is The Purpose Of Research?

  • Effects: see the _______ of an intervention and causality

  • effectiveness

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What Is The Purpose Of Research?

  • _________: determine if research findings can be applied to numerous settings

  • Generalizability

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List the Research Claims:

  • Frequency claims

  • Causal claims

  • Association claims

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Research Claims:

  • Frequency claims:

  • Frequency claims: how often things occur (Mode, mean, range, standard deviation)

    • rate at which events occur

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Research Claims:

  • Causal claims:

  • Causal claims: what causes/makes an impact on what (Correlation, ANOVA, t-test, chi-square, regression)

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Research Claims:

  • Association claims:

  • Association claims: relationship between variables (ANOVA, correlation, t-test, chi-square, regression)

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Finding & Evaluating Information

  • Research vs. Experience

    • _________ feels convincing, but _________ is usually more reliable because it systematically collects evidence.

  • Personal experience

  • research → Leads to more confidence

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Finding & Evaluating Information

  • _______: the way our minds trick us into making incorrect decisions

  • Cognitive biases

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Finding & Evaluating Information

  • Cognitive biases: the way our minds trick us into making incorrect decisions

    • List them-

  • Good story

  • The present/present bias

  • Pop up principle/Availability heuristic

  • Cherry picking

  • Biased questions

  • Being overconfident

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Finding & Evaluating Information

  • Cognitive biases: the way our minds trick us into making incorrect decisions

    • Good story:

  • experiences make something appear correct even if it is not true

    • Makes sense that releasing aggression would help

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Finding & Evaluating Information

  • Cognitive biases: the way our minds trick us into making incorrect decisions

    • The present/present bias:

  •  when you don’t remember times when something happens when it doesn’t fit your preconceived notions

    •  Don’t remember the times you didn’t punch a punching bag

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Finding & Evaluating Information

  • Cognitive biases: the way our minds trick us into making incorrect decisions

    • Pop up principle/Availability heuristic:

  • remembering things if they can easily come to mind

    • what easily comes to mind

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Finding & Evaluating Information

  • Cognitive biases: the way our minds trick us into making incorrect decisions

    • Cherry picking:

  • only pay attention to information to information that you already believe

    • seeing what we want to see

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Finding & Evaluating Information

  • Cognitive biases: the way our minds trick us into making incorrect decisions

    • Biased questions:

  • questions affect context of the answer

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Finding & Evaluating Information

  • Cognitive biases: the way our minds trick us into making incorrect decisions

    • Being overconfident:

  • does not mean accuracy

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Theory-data cycle:

Scientists collect data to test, change, or update their theories

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Theory-data cycle: Scientists collect data to test, change, or update their theories

  • _______: theory-data cycle of collecting data of using it to develop, support, or challenge a theory

  • Empiricism

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Theory-data cycle: Scientists collect data to test, change, or update their theories

  • Theory:

  • statement(s) that describe general principles about how variables relate to each other

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  • Theory: statement(s) that describe general principles about how variables relate to each other

    • What makes a good theory?

  • Falsifiable

  • Supported by data

  • Parsimonious (all things are equal)

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Theory-data cycle: Scientists collect data to test, change, or update their theories

  • __________: research study to test the theory

  • Experiment

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Theory-data cycle: Scientists collect data to test, change, or update their theories

  • Hypothesis:

  • prediction about what you’ll find in the experiment

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  • Basic-Applied Research Cycle

    • Basic-research:

  • the goal is to enhance knowledge

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  • Basic-Applied Research Cycle

    • Applied research:

  • The goal is to determine how to solve a problem

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  • Peer-review cycle:

  • Submission -> review -> feedback -> revisions -> review

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  • Journal to journalism cycle:

  • popular press; possible accuracy issues

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Observational Research:

watching & systematically recording what they are doing

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Observational Research: watching & systematically recording what they are doing

  • 2 types:

  • Direct

  • Indirect

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Observational Research: watching & systematically recording what they are doing

  • 2 types: Direct-

  • observing behavior as it occurs

    • Can be with or without intervention

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Observational Research: watching & systematically recording what they are doing

  • 2 types: Indirect-

  • observing the artifacts of behavior

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Observational Research: watching & systematically recording what they are doing

  • 2 types: Indirect- observing the artifacts of behavior

    • methods→

  • Physical traces: remnants, fragments, and products of past behavior

  • Archival records

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Observational Research: watching & systematically recording what they are doing

  • People: Observing a sample of ______ that represent a population of interest

  • people

    • who we want to observe

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Observational Research: watching & systematically recording what they are doing

  • Behaviors: Observing a representative sample of the population of _______

  • behavior

    •  what behavior you want to make sure you see

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Observational Research: watching & systematically recording what they are doing

  • Time: Observing behavior in a random or systematic sampling of ________

  • time intervals

    •  what times you want to sample

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Observational Research: watching & systematically recording what they are doing

  • Situation: observing behavior in a variety of ______

  • situations

    • Different types of environments/activities (i.e. online vs. in-person)

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Observational Research: watching & systematically recording what they are doing

  • Observation without intervention: Relationships between variables are observed as they _____ occur

    • Helps establish _____ validity

  • naturally

    • Helps establish external validity

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Observational Research: watching & systematically recording what they are doing

  • Observation with intervention: Observer intentionally _______ or introduces variables into setting to measure responses

  • manipulates

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Observational Research: watching & systematically recording what they are doing

  • Recording Behavior: 

    • _______ Records: includes all recordsFaithful reproduction of behavior as it originally occurred (written transcripts, audio & video recordings)

  • Comprehensive

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Observational Research: watching & systematically recording what they are doing

  • Recording Behavior: 

    • ________ Records: only a portion is included

  • Selected

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Observational Research: watching & systematically recording what they are doing

  • Recording Behavior: 

    • ___________: when non-random records are systematically more likely to be created 

  • Selective deposit

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Observational Research: watching & systematically recording what they are doing

  • Recording Behavior: 

    • ________: Some records are more likely to be kept while others are deleted.

  • Selective survival

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Observational Research: watching & systematically recording what they are doing

  • Recording Behavior: 

    • How to helps reduce bias while picking records?

  • Randomization

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Things To Consider:

  • Ethics

  • Feasibility

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Ethics

List the 2 important ethics concepts:

  • The Belmont Report

  • 5 General ethical principles:

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Ethics

  • The Belmont Report

  • Respect for persons

  • Beneficence

  • Justice

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Ethics

  • The Belmont Report

    • Respect for persons:

  • Respect for persons: Informed consent; protection for vulnerable populations

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Ethics

  • The Belmont Report

    • Beneficence:

  • Beneficence: cost-benefit analysis for participants and society (low risk, high benefit is best)

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Ethics

  • The Belmont Report

    • Justice:

  • Justice: How are participants selected

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Ethics

  • 5 General ethical principles:

  1. Beneficence & nonmaleficence

  2. Fidelity & responsibility

  3. Integrity

  4. Justice

  5. Respect for people’s rights and dignity

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Ethics

  • Tuskegee Syphilis Study: ethic violations include ->

  • Harmed, not treated respectfully, targeted a disadvantaged group

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Ethics

  • Milgram’s obedience study: _______ to participants, lasting effects of study

  • Stressful

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  • Mediator: _______ the effect of the IV to the DV

  • Transmits

  • THROUGH

    • X → M → Y

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  • Moderator: _______ the relationship between the IV and the DV

  • Changes

  • DEPENDS

    • X → M → Y

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Survey Research

  • Survey and poll are ________

  • interchangeable

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Survey Research

  • Survey research is a ______ method of collecting data to gather ______ reported information.

  • systematic ( same questions for everyone)

  • self-

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Survey Research

  • Used to measure people’s →

  • attitudes, opinions, characteristics, behaviors 

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Survey Research

  • Do not use it when you need _____ information (people can be ______ & memories can be inaccurate)

  • accurate

    • (people can be biased & memories can be inaccurate)

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Survey Research → Question Types

  • List them:

  • Closed-ended format/questions

  • Open-ended format/questions

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Survey Research → Question Types

  • Closed-ended format/questions-

  • respondent picks from options

  • respondent is given a set of response options to choose from.

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Survey Research → Question Types

  • Closed-ended format/questions- respondent picks from options

    • _____-style format (can be any range of response numbers and anchors i.e. not often-often)

  • Likert

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Survey Research → Question Types

  • Closed-ended format/questions- respondent picks from options

    • _______- Participants rate between opposite traits. (i.e. neuroticism-emotional stability)

  • Semantic Differential

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Survey Research → Question Types

  • Open-ended format/questions- you can obtain _____ information, but it’s ____ (time, bias) to analyze

  • richer/ more

  • harder

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Survey Research → Survey Validity

List the ways-

  • Optimizing

  • Satisficing

  • Conversational conventions

  • Context matters

  • Primacy effect

  • Recency effect

  • Adjacent questions

  • Social desirability

  • Acquiescence

  • Leading questions

  • Double-barreled questions

  • Double negatives

  • Yeah-saying

  • Nay-saying

  • Fence-sitting

  • Faking good or bad

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Survey Research → Survey Validity

  • Optimizing:

  • interpret question and deduce it’s intent; searching memory for relevant information and integrate info into single judgement

  • Participant carefully thinks through answers.

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Survey Research → Survey Validity

  • Satisficing:

  • Participant gives easier, less thoughtful answers.

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Survey Research → Survey Validity

  • Conversational conventions:

  • People interpret survey questions based on normal conversation rules.

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Survey Research → Survey Validity

  • Context matters:

  • can provide info into what researcher is interested in

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Survey Research → Survey Validity

  • Primacy Effects:

  • First information has stronger influence.

    • Order effects: changes in a participant’s performance caused by the order in which conditions or tasks are presented.

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Survey Research → Survey Validity

  • Recency effects:

  • Most recent information is remembered best.

    • Order effects: changes in a participant’s performance caused by the order in which conditions or tasks are presented.

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Survey Research → Survey Validity

  • Adjacent questions:

  • Earlier questions shape interpretation of later ones.

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Survey Research → Survey Validity

  • Social desirability:

  • People answer in ways that make them look good.

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Survey Research → Survey Validity

  • Acquiescence:

  • Tendency to agree with statements regardless of content.

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Survey Research → Survey Validity

  • Leading questions:

  • may prime or bias the respondent

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Survey Research → Survey Validity

  • Double-barreled questions:

  • asking two questions in one

    • Ex: “Do you enjoy your professor and textbook?”

    • ~Question order can prime and provide meaning. 

    • Split into 2 questions

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Survey Research → Survey Validity

  • Double negatives:

  • using two or more negative words in a sentence

    • Confusing

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Survey Research → Survey Validity

  • Yeah-saying (Leniency):

  • Agreeing with everything.

    • Response set: when people respond to questions consistently in a certain way

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Survey Research → Survey Validity

  • Nay-saying (Severity):

  • Disagreeing with everything.

    • Response set: when people respond to questions consistently in a certain way

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Survey Research → Survey Validity

  • Fence-sitting:

  • always answering in the middle

    • Response set: when people respond to questions consistently in a certain way

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Survey Research → Survey Validity

  • Faking good or bad:

  • Trying to appear unusually positive or negative.

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Survey Research → Survey Validity

  • _______ Validity: do the questions you ask accurately measure the construct/variable you’re trying to measure

  • Construct Validity

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Survey Research → Survey Validity

  • Construct Validity: do the questions you ask accurately measure the construct/variable you’re trying to measure

    • Ex: Leader satisfaction: How supportive is your leader? - ____ construct variable vs. Does your leader give good vibes? - ____ construct variable

  • good

  • poor

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Survey Research → Survey Validity

  • Construct Validity: do the questions you ask accurately measure the construct/variable you’re trying to measure

    • ______ validity: how well the measure of one variable correlates/relates to a measure of another variable that theoretically it should be related to

  • Convergent

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Survey Research → Survey Validity

  • How does convergent validity tell us if there is construct validity?

    • If your exam grade correlates with something that it should theoretically correlate with then there is probably ______ validity.

      • Ex: Exam grade accurately measures class knowledge

  • construct

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Survey Research → Survey Validity

  • Construct Validity: do the questions you ask accurately measure the construct/variable you’re trying to measure

    • _________ validity: the measure of one variable does not correlate to a measure of another variable 

  • Divergent/discriminan

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Survey Research → Survey Validity

  • _______ Validity: the degree to which the results of a study can generalize (how well they can apply & would be the same in other groups of people, situations, time, etc.)

  • External Validity

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Survey Research → Survey Validity

  • External Validity: the degree to which the results of a study can generalize (how well they can apply & would be the same in other groups of people, situations, time, etc.)

    • Ask how do we know if there is external validity -> there is no survey that has _____ external validity, but some surveys would generalize better than others

  • complete

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Survey Research → Survey Validity

  • External Validity: the degree to which the results of a study can generalize (how well they can apply & would be the same in other groups of people, situations, time, etc.)

    • The makeup of your sample - your results would generalize to ____ demographics

  • similar

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Survey Research → Survey Validity

  • Why are construct & external validity forms of accuracy?

  1. Construct: are you accurately measuring what you intend to measure?

  2. External: are the results of your study accurate in other settings?

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Survey Research → Survey Reliability

  • ______ Reliability: the extent to which items within a scale all measure the same thing

  • Internal Reliability

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Survey Research → Survey Reliability

Why are interrater & internal reliability forms of consistency?

  • Interrater: are both raters consistent in their ratings?

  • Internal: are the items in your scale consistently measuring the same thing?

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Survey Research → Best Practices: To Do

  • _________ questions

  • Clear, concise, and specific

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Survey Research → Best Practices: To Do

  • Clear, concise, and specific questions

  • _______ periods: give the time period you want respondents to answer about (i.e. “In the last 6 months…” or “How do you feel today?” )

  • Reference

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Survey Research → Best Practices: To Do

  • Clear, concise, and specific questions

  • Number of _____ points: number of points does not matter too much, but too little means less detail and too many is overwhelming

  • scales

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Survey Research → Best Practices: To Do

  • Clear, concise, and specific questions

  • ______ of items: how many questions to measure one scale? (too few= inaccurate data and too many = overwhelming)

    • Soft recommendation: ______ items

  • Number

    • 5-10

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Survey Research → Best Practices: To Do

  • Clear, concise, and specific questions

    • Survey ______ (i.e. pulse survey)

  • length

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Survey Research → Best Practices: To Do

  • Clear, concise, and specific questions

  • _______ checks (i.e. repeat question or mark an answer here)

  • Attention

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Survey Research → Best Practices: Watch For

  • _________ items: Asking about the same content from the opposite direction (i.e. “I always support colleagues” and “I never help at work”)

Reverse-scored

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Qualitative Data Analysis

  • Data ______: Categorizing information into themes/patterns.

  • coding