Interpreting quantitative data / David Byrne.
Saved in:
: | |
---|---|
TeilnehmendeR: | |
Year of Publication: | 2002 |
Language: | English |
Online Access: | |
Physical Description: | x, 176 p. :; ill. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 04322nam a2200397 a 4500 | ||
---|---|---|---|
001 | 500370507 | ||
003 | MiAaPQ | ||
005 | 20200520144314.0 | ||
006 | m o d | | ||
007 | cr cn||||||||| | ||
008 | 020926s2002 enka sb 001 0 eng d | ||
010 | |z 2002514390 | ||
015 | |a GBA1-V1915 | ||
020 | |z 0761962611 | ||
020 | |z 076196262X | ||
035 | |a (MiAaPQ)500370507 | ||
035 | |a (Au-PeEL)EBL370507 | ||
035 | |a (CaPaEBR)ebr10256800 | ||
035 | |a (CaONFJC)MIL189764 | ||
035 | |a (OCoLC)476205712 | ||
040 | |a MiAaPQ |c MiAaPQ |d MiAaPQ | ||
050 | 4 | |a HA35 |b .B97 2002 | |
082 | 0 | 4 | |a 300.72 |2 21 |
100 | 1 | |a Byrne, D. S. |q (David S.), |d 1947- | |
245 | 1 | 0 | |a Interpreting quantitative data |h [electronic resource] / |c David Byrne. |
260 | |a London ; |a Thousand Oaks, Calif. : |b SAGE, |c 2002. | ||
300 | |a x, 176 p. : |b ill. | ||
504 | |a Includes bibliographical references (p. [166]-170) and index. | ||
505 | 8 | |a Machine generated contents note: Introduction 1 -- 1 Interpreting the Real and Describing the Complex: -- Why We Have to Measure 12 -- Positivism, realism and complexity 14 -- Naturalism - a soft foundationalist argument 17 -- There are no universals but, nevertheless, we can know 19 -- Models and measures: a first pass 21 -- Contingency and method - retroduction and retrodiction 25 -- Conclusion 27 -- 2 The Nature of Measurement: What We Measure and -- How We Measure 29 -- Death to the variable 29 -- State space 32 -- Classification 34 -- Sensible and useful measuring 37 -- Conclusion 41 -- 3 The State's Measurements: The Construction and -- Use of Official Statistics 44 -- The history of statistics as measures 45 -- Official and semi-official statistics 49 -- Social indicators 52 -- Tracing individuals 56 -- Secondary data analysis 57 -- Sources 57 -- Conclusion 58 -- 4 Measuring the Complex World: The Character of Social Surveys 61 -- Knowledge production - the survey as process 63 -- Models from surveys - beyond the flowgraph? 66 -- Representative before random - sampling in the real world 72 -- Conclusion 77 -- 5 Probability and Quantitative Reasoning 79 -- Objective probability versus the science of clues 80 -- Single case probabilities - back to the specific 84 -- Gold standard - or dross? 84 -- Understanding Head Start 88 -- Probabilistic reasoning in relation to non-experimental data 90 -- Randomness, probability, significance and investigation 92 -- Conclusion 93 -- 6 Interpreting Measurements: Exploring, Describing and Classifying 95 -- Basic exploration and description 96 -- Making sets of categories - taxonomy as social exploration 99 -- Can classifying help us to sort out causal processes? 105 -- Conclusion 110 -- 7 Linear Modelling: Clues as to Causes 112 -- Statistical models 113 -- Flowgraphs: partial correlation and path analysis 116 -- Working with latent variables - making things out of things -- that don't exist anyhow 117 -- Multi-level models 120 -- Statistical black boxes - Markov chains as an example 122 -- Loglinear techniques - exploring for interaction 123 -- Conclusion 128 -- 8 Coping with Non-linearity and Emergence: Simulation and -- Neural Nets 130 -- Simulation - interpreting through virtual worlds 131 -- Micro-simulation - projecting on the basis of aggregation 133 -- Multi-agent models - interacting entities 135 -- Neural nets are not models but inductive empiricists 139 -- Models as icons, which are also tools 141 -- Using the tools 142 -- Conclusion 143 -- 9 Qualitative Modelling: Issues of Meaning and Cause 145 -- From analytic induction through grounded theory to computer -- modelling - qualitative exploration of cause 147 -- Coding qualitative materials 150 -- Qualitative Comparative Analysis (QCA) - a Boolean approach 154 -- Iconic modelling 157 -- Integrative method 159 -- Conclusion 160 -- Conclusion 162 -- Down with: 162 -- Up with: 163 -- Action theories imply action164. | |
533 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Research. | |
650 | 0 | |a Methodology. | |
650 | 0 | |a Social sciences |x Statistical methods. | |
655 | 4 | |a Electronic books. | |
710 | 2 | |a ProQuest (Firm) | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=370507 |z Click to View |