research recognising design and analysis
- 1. Recognising Research: Approaches & Designs Introduction to Study Skills & Research Methods (HL10040) Dr James Betts FACSM J.Betts@bath.ac.uk @DrBSteamjets
- 2. Lecture Outline: •The Research Process •The Research Design Continuum •Experimental Designs •Sampling Methods •Scientific Reasoning •Quantitative & Qualitative Research Strategies.
- 3. What is Research? • A systematic means of problem solving (Tuckman 1978) • 5 key characteristics:
- 4. What is Research? 1. Systematic – research process 2. Logical – induction/deduction 3. Empirical – evidence based 4. Reductive – generalisation 5. Replicable – methodology.
- 5. Research Process Formulate a Question Select an Appropriate Research Design Collect Relevant Data Interpret Findings Publish Findings Review the Available Literature
- 7. Research Continuum Basic Applied Theoretical? More Invasive? Laboratory Based? Tightly Controlled? Lacks External Validity? Focus on Mechanism More Reductionist Quick Answers? Less Invasive? Field Based? Loosely Controlled? Externally Valid? Focus on Effect Less Reductionist. Internal Validity? >
- 8. Research Continuum Basic Applied e.g. Does Caffeine Ingestion Improve Athletic Performance?
- 9. Research Continuum Basic Applied e.g. Does Caffeine Ingestion Improve Ca2+ binding with troponin? -Would this Facilitate Acto-Myosin Coupling? -Would this aid contraction? e.g. Does Caffeine Ingestion Improve Athletic Performance?
- 10. Research Continuum Basic Applied e.g. Does Caffeine Ingestion Improve Athletic Performance? e.g. Does Caffeine Ingestion Inhibit Glycogen Phosphorylase? Does Caffeine Ingestion Increase Lipid Metabolism? -Would this Spare Endogenous Glycogen?
- 11. Research Continuum Basic Applied e.g. Does Caffeine Ingestion Stimulate the CNS? -Would this Increase Motor Unit Recruitment -Would this Reduce Perceived Effort? e.g. Does Caffeine Ingestion Improve Athletic Performance?
- 12. Research Design Continuum Research Design Analytical Research Descriptive Research Experimental Research Reviews Historical Philosophical Case Study Survey Cross-Sectional Longitudinal Correlational Pre-designs Quasi-designs True-designs Statistical- designs Meta-Analyses
- 13. Analytical Research • Reviews – A critical account of present understanding – A meta-analysis is a quantitative method of review • Historical Research – Accessing both primary (e.g. witnesses) or secondary (e.g. literature) sources to document past events • Philosophical Research – Organising existing evidence into a comprehensive theoretical model
- 14. Descriptive Research • Case Study – Accrual of detailed information from an individual • Survey – Cross-sectional: Status of a various groups at a given point in time – Longitudinal: Status of a given group at various points in time – Correlational: Relationships between variables Refutable?
- 15. Correlational Evidence • When variable X increases, variable Y also increases • So, does X increase Y? – or does Y increase X? • Alternatively, does Z increase both X and Y? Correlations do not infer Causality (and vice versa?) See inapt use of language: Brown et al (2013) i.e. always Read Primary Lit (inc. actual data)!
- 18. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Independent Variable = this variable is the ‘cause’
- 19. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Independent Variable = can be manipulated or allowed to vary
- 20. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Independent Variable = also known as the predictor variable
- 21. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Dependent Variable = this variable is the ‘effect’
- 22. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Dependent Variable = should only vary in response to the IV
- 23. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Dependent Variable = also known as the criterion variable
- 24. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Law of the single variable: there will always be uncontrollable influences
- 25. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Extraneous Variables = must be controlled to isolate the effect of the IV on the DV
- 26. Experimental Research • Experimental research involves a direct assessment of how one variable influences another • This allows the establishment of causality • All extraneous variables must be held constant while a single variable is manipulated and the effect measured • Definition of variables: Confounding Variables = extraneous variables which have co-varied with the IV
- 27. Experimental Designs • Pre-Experimental • Quasi-Experimental • True-Experimental Key: – R = random assignment for equivalent groups
- 28. Random Group Assignment List 20 individuals All to be assigned to treatment (T) or placebo (P) Group 1: toss a coin for each individual Group 2: ‘think-up’ a list that seems random.
- 29. Experimental Designs • Pre-Experimental • Quasi-Experimental • True-Experimental Key: – R = random assignment for equivalent groups – O1,2… = observation of group x (recording of DV) – Oa,b… = observation of group y (recording of DV) – T = treatment (IV) – P = placebo (IV). …or via repeated measures design, matched pairs design or matched groups design
- 30. Experimental Designs • Pre-Experimental • Quasi-Experimental • True-Experimental Question: “Does protein supplementation increase muscle hypertrophy?”
- 31. Pre-Experimental Designs One Shot Study T O1
- 32. Pre-Experimental Designs One Group Pre-test Post-test T O1 O2
- 33. Pre-Experimental Designs Static Group Comparison T O1 Oa P
- 34. Pre-Experimental Designs Static Group Comparison O1 Oa Daniel 1:8
- 35. Quasi-Experimental Designs Time series T O1 O2 O3 O4 O5 O6
- 36. True-Experimental Designs Randomised Group Comparison T O1 P R O2 Earliest recorded example of random group allocation as recent as 1928 (Forsetlund et al. 2007)
- 37. True-Experimental Designs Pre-test Post-test Randomised Group Comparison O1 T O2 P O4 O3 R
- 38. True-Experimental Designs Solomon Four-Group Design O1 T O2 R O4 P O3 P O6 T O5
- 39. Sampling -Split into research teams -Each person take a ‘sample’ of Smarties -Each group record the total number of Smarties and the number of red Smarties
- 40. Sampling Target Pop. (N) Sample (n) • Effective Sampling produces a n which is representative of N • Note: n is only ever representative of the N it was drawn from, i.e. not necessarily the general population.
- 41. Sampling Statistics The dependent variable can be generalised from n to N
- 42. Sampling Methods • Random- All members of N have an equal chance of selection • Stage- Randomly select a group, then take sample • Cluster- Select a natural group to sample from School Class e.g. e.g. e.g. local community
- 43. Sampling Methods • Stratified- identify strata and sample accordingly • Systematic- e.g. every fourth person but starting at a random point • Opportunity- sample a convenient group Avoid Researchers! i.e. Global Pop. Sample (n=100) = 51% = 51 = 49% = 49
- 44. Scientific Reasoning (Logic) General Theory Specific Observation Inductive Reasoning Formation of a theory grounded in your own observations Deductive Reasoning Confirmation of a theory from your own observations Quantitative? Qualitative?
- 45. Quantitative versus Qualitative Quantitative Research Strategy •Investigation aims to assess a pre- stated theory (Deductive Reasoning) •Often involves hypothesis testing •Attempts to minimise the influence of the researcher on the outcome •Quantitative data infers statistics •Data collection therefore requires ‘closed’ responses Qualitative Research Strategy •Investigation aims to create a novel theory (Inductive Reasoning) •Researcher becomes an inherent part of the study - ethnography •Qualitative data infers complex statements or opinions •Data collection therefore permits ‘open’ responses
- 46. Choice of Research Strategy… • Based on: – Epistemology (How should we be attempting to assess knowledge?) • Positivism = explain a phenomena • Interpretivism = understand a phenomena – Ontology (Does the data exist in a tangible or an intangible form?) • Objectivism = explain independent external outcomes • Constructionism = understand how social factors interact
- 47. Choice of Research Strategy… • Study in the natural sciences often requires a positivistic epistemology and an objectivistic ontology • Study in the social sciences often requires an interpretive epistemology and a constructionist ontology • However, it is occasionally possible to combine these strategies by coding qualitative data quantitatively (i.e. Athlete = 1 ; Non-Athlete = 2)
- 48. Selected Reading • Thomas J. R. & Nelson J. K. (2005) Research Methods in Physical Activity, 5th edition. Champaign, Illinois: Human Kinetics • Berg K. E. & Latin R. W. (2008) Essentials of Research Methods in Health, Physical Eduction, Exercise Science, and Recreation, 3rd edition. Maryland: Lippincott Williams &Wilkins
- 49. Where’s my quid? • You need £100 for a night out • You max out your overdraft for £50 and I lend you £50 MONIES OWED: £50 (JB) + £50 (bank) = £100 • You only spent £97, so had £3 change • You put £1 back in your account and gave me £1 back MONIES OWED: £49 (JB) + £49 (bank) = £98 …plus you have your £1 = £99 Where’s the extra quid gone?
- 50. Dr James Betts FACSM J.Betts@bath.ac.uk @DrBSteamjets