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Samenvatting

Summary RMT 2: kort en krachtig samengevat

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Voorbeeld 4 van de 62 pagina's

Ik heb deze samenvatting afgeleid van mijn uitgebreide samenvatting die hier ook online staat! Voor het examen vond ik het heel fijn om de rode draad in een document te hebben om te blijven herhalen! Dit is dus echt de kern van de theorie!

Voorbeeld van de inhoud

RMT 2
CHAPTER 1: PSYCHOLOGY IS A WAY OF THINKING

HOW SCIENTISTS WORK:
• Science is based on empiricism
• Scientists test theories
• Scientists work on fundamental and applied problems
• Science is continuously evolving
• Scientists publish their findings in scientific journals
• Scientists communicate with the general public via journalists

THERE IS A DIFFERENCE BETWEEN EXPLORATORY (INDUCTIVE) & CONFIRMATORY
(DEDUCTIVE) RESEARCH

 Inductive/exploratory = We hebben geen theorie waarmee we beginnen, we observeren en
construeren een theorie op basis van wat we zien

 Deductive/confirmatory = We beginnen met een bestaande theorie. Op basis van die
theorie formuleren we specifieke verwachtingen (hypotheses), die we vervolgens gaan toetsen
aan de werkelijkheid door middel van observaties of experimenten  Het doel is om te
bevestigen (confirmeren) of te verwerpen of de theorie standhoudt in een specifieke context.




CHARACTERISTICS OF GOOD THEORIES

• Supported by data: however, 1 test kan NOOIT een theorie bewijzen

• Falsifiable
o Theory can never be “proven”, but can always be disproven/falsified
o Non-falsifiable theories Bv: Aliens komen bij mij enkel langs als er niemand kijkt

• Parsimonious = zuinig = als er 2 theorieën hetzelfde fenomeen evengoed verklaren =
simpelste= beste
• Replication = crucial



4 NORMS FOR SCIENTISTS (DOCU)

1. Disinterestedness = scientists zijn neutraal, willen geen idealen, politieke meningen
bewijzen

2. Organized skepticism = onderzoekers denken kritisch na over wat hen wordt verteld en wat
ze zeggen.

3. Communality = onderzoek moet idealiter publiek beschikbaar zijn. Onderzoek is voor de
maatschappij

4. Universialism = iedereen kan onderzoek doen, regardless achtergrond, persoon



FUNDAMENTAL VERSUS APPLIED RESEARCH

Fundamental (Basic) Research: Translational research Applied Research:
Focuses on increasing knowledge Apply fundamental findings Focuses on testing interventions in
without immediate practical goals toward practical use; a bridge real-life settings.

1

, between theory and
practice.



PUBLISHING

• Manuscripts are submitted to scientific journals (e.g., Nature, Science, Psychological Bulletin)
• Peer-review process: kwaliteitscheck
o Parties involved include: Editor, reviewers, authors
o Can be:
 Rejected ; Revised and resubmit ; Accepted  Important bcs: lot of doctorates
require certain amounts of published papers  NOT SO EASY!!

 Low acceptance = Thread to quality of research: Needs to be spectacular to get
accepted...
 Predatory journals= betalen om te laten publiceren, slechte controle



CHAPTER 2: SOURCES OF INFORMATION

Research = probabilistic = doesn’t necesseraly apply to every individual
 U r more likley to...  Doesn’t mean this is true for everyone!  But there is a trend in the
data

Researchers:
• Use a comparison group
• Control for third variables
• Try to evaluate information without bias

THIS I BELIEVE BASED ON...:

 Experience = confounded!
 Intuïtion
 Authority
 Research




2

,COGNITIVE BIASES: beïnvloeden hoe we ons voelen, denken, gedragen... CCABAP

1) A good story
o Het is makkelijk om jezelf ervan te overtuigen dat iets dat logisch klinkt, juist is.
o Bv: Catharsis hypothesis  klinkt logisch dat je stoom moet aflaten om je beter te voelen
2) Present bias

3) Availability heuristic
o Het is makkelijk om iets te geloven als het heel gangbaar is in het geheugen, veel voorkomt...
o Bv: “common causes of death”  Heart dissease = most common, people will look for cancer
faster bcs its talked about more in the media

4) Confirmation bias
o We tend to believe information that is convergent with the knowledge we already have.

5) Confirmatory hypothesis testing
o In research: looking for information that prove your hypothesis

6) Bias blind spot = we are VERY bad in judging our own biasses (we think other people are
biased, but not ourself)




PYRAMID OF SCIENTIFIC EVIDENCE

Scientific evidence
varies in
credibility:




3

, CHAPTER 3: THREE CLAIMS & FOUR VALIDITIES HOC2



VARIABLES

 Variabelen verschillen; constanten niet.
 Onafhankelijke variabelen beïnvloeden afhankelijke variabelen.
 Variabelen kunnen gemeten of gemanipuleerd worden.
 Conceptuele variabelen zijn abstract; operationele variabelen zijn concreet en meetbaar
( replicatie!)

3 CLAIMS
• A claim = a statement used to support a viewpoint, based on evidence.
• Psychologists commonly use 3 types of claims in research and communication

 These claims fall into 3 categories:

1) Frequency claims: Describe how often a behavior or event occurs
2) Association claims: Describe relationships or correlations between variables.
3) Causal claims Describe cause-and-effect relationships.




3 CONDITIONS FOR CAUSAL EFFECT CLAIMS



4

Inhoudsopgave

  1. 01 Chapter 1: psychology is a way of thinking 1
    1. How scientists work: 1
    2. There is a difference between exploratory (inductive) & confirmatory (deductive) research 1
    3. CHARACTERISTICS OF GOOD THEORIES 1
    4. 4 norms for scientists (docu) 1
    5. Fundamental versus applied research 1
    6. publishing 2
  2. 02 Chapter 2: sources of information 2
    1. Researchers: 2
    2. This I believe based on...: 2
    3. cognitive biases: beïnvloeden hoe we ons voelen, denken, gedragen... CCabap 3
    4. pyramid of scientific evidence 3
  3. 03 Chapter 3: three claims & four validities HOC2 4
    1. variables 4
    2. 3 Claims 4
    3. 3 CONDITIONS FOR CAUSAL EFFECT CLAIMS 4
    4. The 4 big validities 5
    5. Claims and their most important validities 5
    6. Important criteria for Extern validity 6
    7. Random assignment vs. random selection 6
    8. Correlation Causation 6
    9. Prioritizing Types of Validity 6
  4. 04 Chapter 4: ethical guideline fot psychology research 7
    1. The Belmont Report 7
    2. Five General Principles (apply to all psychologists): 7
    3. Institutional review boards (irbs): ethische commissie 8
    4. Informed consent: 8
    5. Deception in research 8
    6. Debriefing 8
    7. Research Fraud: Research misconduct includes: 8
    8. Questionable research practices (qrps): 8
    9. Reasons and Solutions for Research Fraud 9
    10. Open Science: KEY PRACTICES:(crüwell et al., 2019) 9
    11. Animal research ethics: 10
    12. the 3 R’s of animal research: 10
  5. 05 CHAPTER 5: identifying good measurement 10
    1. 3 common types of measurements 10
    2. Operationalization 10
    3. Construct validity and reliability 11
    4. RELIABILITY: 11
    5. CONSTRUCT VALIDITY: 12
    6. Verschil tss reliability & validity 13
    7. Evaluating reliability and construct validity in articles 13
  6. 06 Chapter 6: surveys and observations 13
    1. Survey research can be done in multiple ways: 13
    2. experience Sampling methods 13
    3. Single or multi item? 14
    4. Scales in Surveys: Use or Create? 14
    5. Study shows that: 16
    6. Methods to detect “low quality data” (Desimone & Harms (2017) 16
    7. difference in hypothetical and real behaviour 16
    8. 3 biases or effects when you observe + solutions 17
  7. 07 Chapter 7: Sampling hoc4 18
    1. 2 kinds of samples: 18
    2. Sampling error: 18
    3. Samples that may be biased: 18
    4. Biased vs unbiased sampling techniques 18
    5. 1) Probability sampling 19
    6. 2) Biased sampling 20
    7. When is external validity important? 20
    8. How to evaluate external validity 21
    9. Weird samples 21
    10. Online paid panels 21
    11. Margin of error 21
    12. Sample size 21
    13. Response rate 22
  8. 08 Chapter 8: Bivariate correlational research hoc5 23
    1. Updated correlation guidelines (flinnders & olsen, 2019) 23
    2. What are the strengths and weaknesses of bivariate correlational research? 23
    3. Can bivariate correlational research make causal claims  NO 27
  9. 09 Chapter 9: multivariate correlational research 28
    1. Oplossingen voor problemen causaliteit bivariate corr 28
    2. Experimental designs 28
    3. Longitudinal designs 28
    4. Interpreting results longitudinal designs: types of correlations in longitudinal designs 29
    5. Longitudinal designs and the three criteria for causality 29
    6. Why not use an experiment? 29
    7. Multiple regression 29
    8. How multiple regression Works 30
    9. beta ? 30
    10. can multiple regression demonstrate causality? 30
    11. OVERZICHT CAUSALE MOGELIJKHEDEN CORR TESTEN 30
    12. multiple regression in popular media 31
    13. PATTERNS AND PARSIMONY 32
    14. What is parsimony? 32
    15. What is Mediation? 32
    16. 4 Steps to Demonstrate Mediation (Baron & Kenny, 1986) 32
    17. Difference between: mediaton & confounders (third variables) 33
    18. controling for confounders 33
  10. 10 Chapter 10: simple experimental research 34
    1. Experimental variables 34
    2. Important Principles to Watch Out For 34
    3. Potential outcomes framework 35
    4. Why the ATE (average treatment effect)? 35
    5. How is ATE Measured? 35
    6. Experiments: causality 36
    7. Threats to internal validity /causality 36
    8. designs 36
    9. Between-subjects designs (between-groups design or independent-groups designs) 36
    10. Including a pretest in an experiment can be helpful for 2 main reasons: 37
    11. Within-subjects designs 37
    12. Advantages within-subjects designs 38
    13. Problems with within-subject designs 38
    14. Solution for order effects 38
    15. Counterbalancing with More Than Two Conditions 39
    16. other problems with within subjects 40
  11. 11 Chapter 11: Confounding and obscuring variables HOC8 42
    1. Examples of bad experiments 42
    2. Threats to internal validity (12) exercise in slides 42
    3. Null-effects 45
    4. Possible explanations for null effects: 45
    5. Common Causes of Null Effects 46
    6. Power 46
    7. 2 main types of mistakes in hypothesis testing: 47
    8. Alpha – Threshold for Significance 47
    9. conventions 47
    10. Common thresholds: 47
    11. Preventing type I errors: 48
    12. Preventing type II errors: 48
    13. Statistical Power 48
  12. 12 Chapter 12: Experiments with more than 1 independent variable HOC9 48
    1. 2x2 factorial design 49
    2. What can factorial designs tell us? 49
    3. Hoofd en interactie effecten 49
    4. Variants – factorial design 51
    5. 2x2x2 factorial design: 51
    6. 2x2x2 Design (Three Independent Variables) 52
  13. 13 Chapter 13: quasi experiments, small-N-designs & replication hoc10 53
    1. QUASI-EXPERIMENTAL DESIGNS: 53
    2. Threats to Internal Validity 54
    3. Why Use Quasi-Experiments? 55
    4. Differences with correlational designs 55
    5. Small-N experiment 56
    6. difference between Small n- design &. big n-design 56
    7. Types of Small-N Designs 57
    8. validity & small n design 57
    9. Replication crisis in psychology 58
    10.  Solutions: Open Science Practices 58
    11. Preregistration 58
    12. Registered reports 58
    13. Replication projects 60
    14. Meta-analysis 60
    15. Strengths and weaknesses of meta analysis 61
    16.  File drawer problem 61
    17. generalisability 61

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