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PIL

Purpose in Life scale - Subscale of the Ryff Scales of Psychological Well-Being

Measuring: A respondent's perceived meaning in life.

Number of Items: 7

Item Question Wording TILDA Variable
1 I enjoy making plans for the future and working to make them a reality. SCQPurpose1
2 My daily activities often seem trivial and unimportant to me. SCQPurpose2
3 I am an active person in carrying out the plans I set for myself. SCQPurpose3
4 I don’t have a good sense of what it is I’m trying to accomplish in life. SCQPurpose4
5 I sometimes feel as if I’ve done all there is to do in life. SCQPurpose5
6 I live life one day at a time and don’t really thing about the future. SCQPurpose6
7 I have a sense of direction and purpose in my life. SCQPurpose7

Scoring Method:

6-point Likert Scale.

1 = Strongly Disagree

2 = Disagree

3 = Disagree slightly

4 = Agree slightly

5 = Agree

6 = Strongly agree

  • A cumulative score is generated with higher scores representing stronger sense of purpose and meaning in life (7-42).

  • Items 2, 4, 5, and 6 are negatively worded and reverse scored prior to calculation.

Citation: Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology, 57(6), 1069–1081. https://doi.org/10.1037/0022-3514.57.6.1069>

Code

  • Stata
  • R
  • SPSS
* Recode special missing values
mvdecode SCQPurpose1-SCQPurpose7, ///
    mv(-99=. \ -812=. \ -823=. \ -834=. \ -845=. \ -856=.)


* Reverse-score negatively worded items
gen SCQPurpose2_r = 7 - SCQPurpose2
gen SCQPurpose4_r = 7 - SCQPurpose4
gen SCQPurpose5_r = 7 - SCQPurpose5
gen SCQPurpose6_r = 7 - SCQPurpose6


* Calculate total score
egen MHpurpose = rowtotal( ///
    SCQPurpose1 ///
    SCQPurpose2_r ///
    SCQPurpose3 ///
    SCQPurpose4_r ///
    SCQPurpose5_r ///
    SCQPurpose6_r ///
    SCQPurpose7 ///
)


* Require all 7 items to be answered
egen Purpose_missing = rowmiss( ///
    SCQPurpose1 ///
    SCQPurpose2 ///
    SCQPurpose3 ///
    SCQPurpose4 ///
    SCQPurpose5 ///
    SCQPurpose6 ///
    SCQPurpose7 ///
)

replace MHpurpose = . if Purpose_missing > 0


* Labels
label variable MHpurpose ///
    "Purpose in Life Scale total score (7-42)"

notes MHpurpose : ///
    Higher scores represent a stronger sense of purpose and meaning in life.

notes MHpurpose : ///
    Items 2, 4, 5 and 6 are reverse scored.


* Checks
summarize MHpurpose
tab MHpurpose, missing


* Drop temporary variables
drop SCQPurpose2_r SCQPurpose4_r SCQPurpose5_r SCQPurpose6_r
drop Purpose_missing

Download Stata .do file

# Recode special missing values
purpose_items <- paste0("SCQPurpose", 1:7)
special_missing <- c(-99, -812, -823, -834, -845, -856)

for (var in purpose_items) {
  data[[var]][data[[var]] %in% special_missing] <- NA_real_
}


# Reverse-score negatively worded items
data$SCQPurpose2_r <- 7 - data$SCQPurpose2
data$SCQPurpose4_r <- 7 - data$SCQPurpose4
data$SCQPurpose5_r <- 7 - data$SCQPurpose5
data$SCQPurpose6_r <- 7 - data$SCQPurpose6


# Calculate total score
score_items <- c(
  "SCQPurpose1",
  "SCQPurpose2_r",
  "SCQPurpose3",
  "SCQPurpose4_r",
  "SCQPurpose5_r",
  "SCQPurpose6_r",
  "SCQPurpose7"
)

# Mirrors Stata egen rowtotal(): sum available items first
data$MHpurpose <- rowSums(data[score_items], na.rm = TRUE)


# Require all 7 original items to be answered
data$Purpose_missing <- rowSums(is.na(data[purpose_items]))
data$MHpurpose[data$Purpose_missing > 0] <- NA_real_


# Label / notes
attr(data$MHpurpose, "label") <- "Purpose in Life Scale total score (7-42)"
attr(data$MHpurpose, "note") <- paste(
  "Higher scores represent a stronger sense of purpose and meaning in life.",
  "Items 2, 4, 5 and 6 are reverse scored."
)


# Checks
summary(data$MHpurpose)
table(data$MHpurpose, useNA = "ifany")


# Drop temporary variables
data[c(
  "SCQPurpose2_r",
  "SCQPurpose4_r",
  "SCQPurpose5_r",
  "SCQPurpose6_r",
  "Purpose_missing"
)] <- NULL

Download R file

* Recode special missing values.
RECODE SCQPurpose1 TO SCQPurpose7
  (-99 = SYSMIS)
  (-812 = SYSMIS)
  (-823 = SYSMIS)
  (-834 = SYSMIS)
  (-845 = SYSMIS)
  (-856 = SYSMIS).


* Reverse-score negatively worded items.
COMPUTE SCQPurpose2_r = 7 - SCQPurpose2.
COMPUTE SCQPurpose4_r = 7 - SCQPurpose4.
COMPUTE SCQPurpose5_r = 7 - SCQPurpose5.
COMPUTE SCQPurpose6_r = 7 - SCQPurpose6.


* Calculate total score.
* SUM() mirrors Stata rowtotal() by summing available nonmissing items.
COMPUTE MHpurpose = SUM(
  SCQPurpose1,
  SCQPurpose2_r,
  SCQPurpose3,
  SCQPurpose4_r,
  SCQPurpose5_r,
  SCQPurpose6_r,
  SCQPurpose7
).


* Require all 7 original items to be answered.
COMPUTE Purpose_missing = NMISS(
  SCQPurpose1,
  SCQPurpose2,
  SCQPurpose3,
  SCQPurpose4,
  SCQPurpose5,
  SCQPurpose6,
  SCQPurpose7
).

IF (Purpose_missing > 0) MHpurpose = $SYSMIS.


* Labels.
VARIABLE LABELS MHpurpose
  "Purpose in Life Scale total score (7-42)".

* Notes:
* Higher scores represent a stronger sense of purpose and meaning in life.
* Items 2, 4, 5 and 6 are reverse scored.


* Checks.
DESCRIPTIVES VARIABLES=MHpurpose.
FREQUENCIES VARIABLES=MHpurpose /MISSING=INCLUDE.


* Drop temporary variables.
DELETE VARIABLES
  SCQPurpose2_r
  SCQPurpose4_r
  SCQPurpose5_r
  SCQPurpose6_r
  Purpose_missing.

EXECUTE.

Download SPSS .sps file

PCL-6
Relationship Quality

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