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add grids from some papers extracted with claude
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‎dev/grids/baxter2014.R‎

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# CITATION: Baxter, D. I., Goffin, K., & Szwejczewski, M. (2014). The repertory grid technique
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# as a customer insight method. Research-Technology Management, 57(4), 35-42.
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# DOI: 10.5437/08956308X5704229
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#
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# CONTEXT: This grid was elicited from a clinician working in intensive care as part of
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# a new product development study to uncover customers' hidden needs regarding medical
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# monitoring devices. The six elements (A-F) are anonymized patient monitoring devices
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# rated on a 1 (emergent pole) to 5 (contrast pole) scale across six constructs.
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args <- list(
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name = c("A", "B", "C", "D", "E", "F"),
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l.name = c("Easy to use",
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"Clear display",
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"Quick set-up (while with patient)",
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"Many parameters",
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"Easy staff training",
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"Easy to clean"),
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r.name = c("Difficult",
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"Poor display",
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"Slow set-up",
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"Few parameters",
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"Hard staff training",
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"Hard to clean"),
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scores = c(1, 3, 3, 4, 2, 1,
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1, 4, 5, 3, 4, 4,
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2, 5, 3, 1, 1, 1,
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4, 2, 1, 2, 1, 1,
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3, 3, 5, 4, 5, 5,
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5, 5, 5, 4, 5, 5)
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)
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grid <- makeRepgrid(args)
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grid <- setScale(grid, 1, 5)

‎dev/grids/bell2006.R‎

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# CITATION: Bell, R. C. (2006). A note on the correlation of elements in repertory grids:
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# How to and why. Journal of Constructivist Psychology, 19(3), 273-279.
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# DOI: 10.1080/10720530600523595
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#
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# CONTEXT: This illustrative grid (Figure 2) was constructed to demonstrate statistical
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# methods for correlating elements in repertory grids, showing two participants (A and B)
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# each with a self and ideal-self element rated on six bipolar constructs using a 1-7 scale.
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args <- list(
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name = c("A-self", "A-ideal", "B-self", "B-ideal"),
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l.name = c("Soft", "Warm", "Weak", "Bold", "Headstrong", "Fast"),
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r.name = c("Hard", "Cool", "Strong", "Timid", "Cautious", "Slow"),
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scores = c(1, 5, 3, 7,
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1, 3, 1, 5,
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3, 5, 2, 6,
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2, 2, 7, 3,
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1, 7, 6, 2,
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1, 7, 5, 1)
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)
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grid <- makeRepgrid(args)
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grid <- setScale(grid, 1, 7)

‎dev/grids/bell2010.R‎

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# CITATION: Bell, R. C. (2010). A note on aligning constructs. Personal Construct Theory
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# & Practice, 7, 42-48. Grid data originally from: Haritos, A., Gindidis, A., Doan, C.,
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# & Bell, R. C. (2004). The effect of element role titles on construct dimensionality.
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# Journal of Constructivist Psychology, 17, 109-124.
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#
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# CONTEXT: This grid (Figure 3 in Bell, 2010) was used to illustrate construct alignment
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# methods; it comprises ratings by one participant on 10 role-based elements (self, friend,
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# mother, teachers, etc.) across 9 bipolar constructs on a 1-7 scale.
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args <- list(
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name = c("self",
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"closest friend same sex",
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"unhappiest person you know",
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"opp. sex - don't get along",
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"opp. sex - like more than dislike",
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"mother",
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"teacher you respected",
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"person you work well with",
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"teacher you did not respect",
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"most confident person you know"),
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l.name = c("relaxed",
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"not so smart (academically)",
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"dislikes sport",
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"not interactive",
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"not transparent",
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"insensitive",
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"fearful & timid",
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"rough",
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"accept as it is"),
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r.name = c("worried & tense",
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"smart (academically)",
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"loves sports",
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"loves people",
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"transparent",
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"sensitive",
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"fearless",
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"gentle",
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"loves to argue"),
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scores = c(4, 4, 6, 5, 3, 6, 5, 2, 2, 6,
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6, 3, 7, 6, 4, 6, 7, 4, 7, 3,
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6, 7, 6, 4, 4, 2, 6, 5, 6, 3,
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6, 7, 5, 6, 6, 5, 6, 7, 7, 4,
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6, 4, 5, 7, 3, 7, 6, 5, 3, 3,
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4, 6, 3, 4, 6, 5, 3, 2, 4, 5,
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5, 4, 4, 3, 5, 3, 5, 6, 3, 5,
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5, 6, 6, 4, 5, 7, 7, 3, 5, 6,
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5, 5, 6, 7, 4, 4, 6, 7, 5, 5)
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)
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grid <- makeRepgrid(args)
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grid <- setScale(grid, 1, 7)

‎dev/grids/bringmann1990.R‎

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# CITATION: Bringmann, M. W. (1990). Computer-based methods for the analysis and
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# interpretation of personal construct systems. In G. Neimeyer & R. Neimeyer (Eds.),
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# Advances in Personal Construct Psychology (Vol. 1, pp. 57-90). JAI Press.
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# Grid data originally from Bell (1987) G-PACK program example.
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#
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# CONTEXT: This example grid labelled "Friends and Others" was used to illustrate
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# computer-based grid analysis methods; six anonymized persons (S1-S6) are rated
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# on eight bipolar constructs on a 1-7 scale.
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args <- list(
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name = c("S1", "S2", "S3", "S4", "S5", "S6"),
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l.name = c("Willingness to listen",
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"Professional outlook",
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"Stubborn minded",
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"Ability to twist facts",
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"Willpower",
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"Friendly",
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"Unhealthy lifestyle",
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"Competitive"),
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r.name = c("Unwilling to listen",
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"Slapdash approach",
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"Relaxed attitude",
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"Honest",
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"Commitment difficulty",
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"Cold to others",
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"Conscious of health",
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"Not competitive"),
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scores = c(7, 6, 3, 4, 6, 6,
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6, 6, 3, 4, 5, 6,
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6, 6, 6, 3, 4, 4,
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3, 2, 5, 6, 2, 2,
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3, 6, 2, 5, 5, 5,
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5, 4, 4, 5, 5, 5,
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2, 4, 4, 2, 5, 2,
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6, 5, 3, 6, 5, 6)
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)
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grid <- makeRepgrid(args)
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grid <- setScale(grid, 1, 7)

‎dev/grids/caputi2008.R‎

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# CITATION: Caputi, P., & Hennessy, D. (2008). Using formal concept analysis to analyse
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# repertory grid data. In F. Fransella (Ed.), International Handbook of Personal Construct
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# Psychology (2nd ed., pp. 162-172). Wiley.
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#
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# CONTEXT: This grid was elicited from a 57-year-old man with approximately ten tattoos
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# as part of a study demonstrating formal concept analysis applied to repertory grid data;
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# twelve elements related to self and others (tattooed/non-tattooed, conforming/non-conforming)
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# were rated on twelve bipolar constructs using a 1-5 scale.
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args <- list(
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name = c("Self",
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"Ideal self",
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"Future self",
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"Self as I'd like others to see me",
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"Self as seen by others",
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"Self before I had a tattoo",
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"Self now no tattoo",
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"Someone without a tattoo",
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"Someone with a tattoo",
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"Someone who conforms",
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"Someone who pushes boundaries",
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"Someone I don't like the look of"),
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l.name = c("Happy",
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"Patient",
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"Caring",
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"Kind",
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"Sense of humour",
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"Sociable",
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"Friendly",
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"Active",
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"Confident",
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"Organised",
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"Hard working",
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"Honest"),
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r.name = c("Miserable",
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"Noxious",
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"Neutral",
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"Callous",
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"Dour",
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"Hermit-like",
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"Aloof",
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"Dead beats",
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"Weak",
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"Shambles",
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"Lazy",
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"Slimy"),
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scores = c(2, 2, 2, 2, 2, 1, 3, 2, 1, 5, 1, 5,
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2, 1, 2, 2, 2, 3, 2, 3, 4, 5, 2, 5,
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5, 2, 3, 1, 2, 5, 1, 1, 2, 5, 1, 4,
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2, 2, 2, 1, 2, 2, 2, 1, 2, 5, 2, 3,
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1, 1, 1, 1, 1, 3, 2, 2, 2, 5, 2, 5,
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5, 3, 5, 5, 5, 4, 5, 1, 1, 2, 1, 4,
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2, 2, 2, 2, 5, 2, 2, 2, 1, 4, 2, 4,
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1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 4,
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1, 1, 1, 1, 1, 4, 2, 2, 2, 3, 1, 5,
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1, 1, 1, 2, 3, 3, 2, 5, 4, 2, 1, 4,
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2, 2, 3, 1, 2, 2, 2, 1, 2, 1, 1, 4,
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1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 4)
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)
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grid <- makeRepgrid(args)
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grid <- setScale(grid, 1, 5)

‎dev/grids/faccio2012.R‎

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# CITATION: Faccio, E., Castiglioni, M., & Bell, R. C. (2012). Extracting information from
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# repertory grid data: New perspectives on clinical and assessment practice.
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# Journal of Constructivist Psychology, 25(1), 63-86.
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# DOI: 10.1080/10720537.2012.629508
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#
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# CONTEXT: This grid was elicited from "Elisabetta," a 17-year-old with an eating disorder,
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# to illustrate methods for extracting clinical information from repertory grids; 13 elements
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# (self, family members, peers, and self-image figures) were rated on 18 bipolar constructs
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# using a -3 to +3 scale (positive = left/emergent pole, negative = right/contrast pole).
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args <- list(
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name = c("Elisabetta",
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"Brother",
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"Sister",
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"Parents",
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"Veronica (disliked)",
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"Carlotta (admired)",
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"Federica",
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"Simone",
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"Vanessa",
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"Francesca",
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"As I would like to be",
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"As others see me",
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"As others would like me to be"),
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l.name = c("spontaneous",
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"fragile",
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"happy",
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"reliable",
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"closed",
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"obstinate",
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"strong",
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"obstinate",
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"insensitive",
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"undecided",
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"altruist",
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"simple",
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"impulsive",
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"accommodating",
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"anxious",
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"proud",
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"perfectionist",
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"irritable"),
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r.name = c("false",
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"indifferent",
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"problematic",
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"thinks about own interests",
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"extroverted",
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"weak",
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"weak",
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"hidden",
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"kind-hearted",
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"decided",
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"selfish",
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"less hasty",
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"prudent",
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"ambitious",
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"controls situations",
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"passes over things",
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"hasty",
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"calm"),
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scores = c( 3, -3, -1, -2, -2, -2, -3, -3, -1, 0, -3, -3, -3,
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-2, 1, -1, -1, 0, 2, -2, -1, 1, 0, -1, 0, NA,
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-2, -3, -2, 0, 3, -2, -3, -3, -2, -2, -3, -2, -3,
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-3, -3, -3, 0, 2, -3, -3, -3, 1, -3, -3, -3, -3,
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2, 3, 2, 2, 1, -2, 3, 1, 3, -1, 3, 3, 3,
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-3, -3, -3, 0, 3, 1, -2, -1, 3, -3, -3, 0, NA,
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-2, -2, -3, 1, -2, -2, -3, 0, -1, 1, -3, -1, -3,
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-2, -2, -3, 0, 1, -2, 3, 0, -1, 2, -2, 2, -1,
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2, 3, 2, -1, 0, 3, 3, 3, 1, 1, 3, 2, 3,
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2, 3, 3, -2, 1, -2, 0, 2, -2, 2, 3, 2, 3,
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-2, -2, -2, 0, 2, -3, -2, -3, 1, -1, -3, -2, -3,
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-1, -3, -3, 0, -3, 3, 3, 3, -1, -2, -2, -1, -2,
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-3, -3, -1, 1, -2, 2, 2, 2, -3, 2, -3, -3, -1,
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3, 3, 3, -2, 1, -3, -3, -2, 2, 3, 2, 3, 3,
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-2, 2, 2, -3, -2, 0, 2, 2, -1, -1, 2, 1, 2,
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-2, -2, -2, 2, -2, 2, 2, 2, -2, -1, -2, 2, -2,
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-2, -2, -3, 1, -1, -1, -3, -1, 1, 1, -2, -2, -1,
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-3, 1, -3, -2, -1, 3, -1, 3, 0, 1, 0, -3, 1)
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)
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grid <- makeRepgrid(args)
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grid <- setScale(grid, -3, 3)

‎dev/grids/promt.txt‎

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Please read all the papers (one after another from) the following folder:
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'/Users/markheckmann/Dropbox/_mh/literatur/Psychologie/PCP/papers a'
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Have a look if the paper contains the raw repertory grid data.
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If yes, please extract the grid and save it as a grid object in an R file
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in the folder dev/grids. Create a new file for each grid and also save
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the context, i.e. two sentences of explanation of what the background for that
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grid is and from whioch paper it comes (citation).
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