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Technical documentation

ScanMyLove Analysis Methodology

A document for psychologists, couples therapists and mental health professionals evaluating the credibility and methodological rigor of the tool.

Version 5.0February 2026Psychologie et Sérénité

Technical document for mental health professionals

Version: 5.0 Date: February 2026 Publisher: Psychologie et Sérénité Contact: contact@psychologieetserenite.com

Table of contents

1. [Introduction and epistemological framework](#1-introduction-and-epistemological-framework)

2. [Raw data analyzed (Inputs)](#2-raw-data-analyzed-inputs)

3. [The 14 clinical models used (Processing)](#3-the-14-clinical-models-used-processing)

4. [Synthesis and insight generation (Outputs)](#4-synthesis-and-insight-generation-outputs)

5. [Methodological limitations](#5-methodological-limitations)

6. [Scientific references](#6-scientific-references)


1. Introduction and epistemological framework

ScanMyLove is a computational analysis platform for written conversations (WhatsApp, Messenger, Instagram, Telegram, SMS, emails, screenshots) that applies 14 theoretical frameworks drawn from clinical psychology, social psychology and communication sciences to produce a relational map from textual exchanges.

The tool positions itself explicitly as a reflection-aid instrument and not as a diagnostic tool. It is a substitute neither for a clinical consultation nor for a standardized psychometric assessment. Its goal is to provide quantitative and qualitative benchmarks that help the user (and, where applicable, their therapist) better understand the relational dynamics at work in their exchanges.

Analysis pipeline architecture

The analysis process breaks down into three phases:

1. Extraction and metrology (client side): parsing of conversations, computation of 25+ descriptive statistical metrics, detection of emotional-breakdown events.

2. Multi-model analysis (server side): parallel processing by language models applying the 14 clinical grids to the anonymized corpus.

3. Synthesis and reporting: aggregation of scores, production of composite dimensions, generation of the report with recommendations.


2. Raw data analyzed (Inputs)

2.1 Accepted data sources

SourceFormatExtraction method
WhatsAppText export (.txt, .zip)FR/EN temporal regex (iOS/Android)
MessengerFacebook JSON exportStructured JSON parsing
InstagramJSON exportStructured JSON parsing
TelegramHTML/JSON exportMulti-format parsing
SMSText exportHeuristic detection
EmailPlain textGeneric parsing
ScreenshotsPNG, JPG, WEBP, HEICOCR via vision model (max 30 images)

Conversations are pre-processed for cross-file deduplication and encoding detection (UTF-8, UTF-16, Latin-1).

2.2 Descriptive metrics per participant

Volume and length

MetricDefinitionUnit
Number of messagesTotal messages sentInteger
Number of wordsTotal words emittedInteger
Average length per messageWords/messages ratioWords/message
Longest messageMessage with the highest word countWords

Linguistic and emotional richness

MetricDefinitionComputation method
Emoji densityTotal number of emojis usedUnicode counting
Top 20 emojisMost frequent emojis per participantDescending frequency
Number of questionsMessages containing "?"Punctuation detection
Number of exclamationsMessages containing "!"Punctuation detection
Multimedia contentMessages containing images, audio, videoTag detection
Top 30 wordsMost frequent words (excluding 150+ stopwords)Frequency after filtering
Top expressionsRecurring bigrams and trigramsN-gram analysis

Temporality and responsiveness

MetricDefinitionProcessing
Average response timeMean delay between received message and replyArithmetic mean, filtering >24h
Median response timeMedian value of delaysMedian, more robust to outliers
Hourly distributionMessage distribution across 24 hoursHistogram 0-23h
Weekly distributionDistribution across 7 daysSunday to Saturday
Activity heatmap7 days x 24 hours matrixMessage density per time slot
Longest active streakMaximum number of consecutive days with exchangeStreak counting

Dynamics indicators

MetricDefinition
Exchange initiatorIdentification of who sends the first message of each daily conversation
Global first messageAuthor of the very first message of the corpus
Global last messageAuthor of the most recent message
Total conversation durationNumber of days covered by the corpus
Messages per day (average)Average daily volume

2.3 Detection of emotional-breakdown events

The breakpoint engine detects 5 types of events through a longitudinal analysis of the corpus.

Affective ratio (7-day sliding window)

The computation relies on two dictionaries of linguistic markers:

  • Positive markers: "I love you", "kisses", "my love", "I miss you", heart and affection emojis
  • Negative markers: "it's over", "fed up", "sick of it", "annoyed", anger emojis
Formula:
affective_ratio = positive_markers / (positive_markers + negative_markers + 1)

The ratio ranges between 0 (entirely negative) and 1 (entirely positive). Smoothing over 7 days reduces the noise from daily fluctuations.

Types of events detected

EventDetection criterionSeverity
Affective dropAffective ratio decline >30% (medium) or >60% (high) over 14 daysMedium / High
GhostingSilence of 3-6 days (medium) or 7+ days (high) after 5+ active daysMedium / High
Communication withdrawalWeekly volume decline >60% (medium) or >80% (high)Medium / High
Acute conflictSpike of negative markers >3x the daily averageMedium / High
Composite breakupCo-occurrence of an affective drop and ghosting within a 14-day windowAlways High

Events are deduplicated within a 3-day window to avoid redundancy.


3. The 14 clinical models used (Processing)

Processing architecture

The clinical analysis is performed by a parallel processing pipeline organized into groups. Each group independently queries a language model with a specific prompt encoding a structured assessment grid and a JSON output schema.

Two levels of analysis are offered:
LevelGroupsModels coveredAverage duration
Standard (€9.90)5 parallel groups7 models~22 seconds
Premium (€19.90)9 parallel groups14 models + action plan~33 seconds

The conversational corpus is first anonymized (names replaced by "Person A" / "Person B"; phone numbers, emails, addresses and banking details redacted) and truncated according to a 160,000-character budget strategically allocated:

  • 50% for the most recent messages (end of the corpus)
  • 20% for the oldest messages (beginning)
  • 30% for the middle (spiral selection)

This allocation ensures the model has access to the initial context, the intermediate evolution and the current state of the relationship.


Model 1: Sternberg's Triangular Theory of Love

Theoretical reference: Sternberg, R. J. (1986). A Triangular Theory of Love. Psychological Review, 93(2), 119-135. What it measures: Three fundamental components of love — intimacy (emotional closeness, trust, sharing), passion (desire, attraction, enthusiasm) and commitment (conscious decision to maintain the relationship). Scoring method: Each component is assessed on a 0-to-100 scale from the analysis of conversational markers:
  • Intimacy: confidences, shared vulnerability, mutual emotional support, use of "we"
  • Passion: expressions of desire, physical compliments, emotional intensity, eagerness to reunite
  • Commitment: shared plans, references to a shared future, use of definitive terms ("always", "for life")
Clinical interpretation: The combination of the three scores produces a typology of 7 forms of love (consummate love, companionate love, infatuation, empty love, romantic love, fatuous love, liking/friendship).

Model 2: The 5 Love Languages (Chapman)

Theoretical reference: Chapman, G. (1992). The Five Love Languages: How to Express Heartfelt Commitment to Your Mate. Northfield Publishing. What it measures: Each participant's preferred mode of expressing and receiving affection. Scoring method: Five dimensions assessed from 0 to 100 for each participant:
  • Words of affirmation: compliments, encouragement, endearing words
  • Acts of service: offers of help, concrete actions for the other
  • Receiving gifts: mentions of presents, surprises, material tokens
  • Quality time: planning time together, exclusive attention
  • Physical touch: references to bodily contact, hugs, closeness
Clinical interpretation: The analysis identifies each participant's dominant language and measures the degree of concordance or mismatch (gap analysis). A significant gap between the two participants' primary languages is an indicator of potential relational frustration.

Model 3: The Four Horsemen of the Apocalypse (Gottman)

Theoretical reference: Gottman, J. M. (1994). What Predicts Divorce? The Relationship Between Marital Processes and Marital Outcomes. Lawrence Erlbaum Associates. Gottman, J. M., & Silver, N. (1999). The Seven Principles for Making Marriage Work. Three Rivers Press. What it measures: The four communication behaviors most predictive of couple dissolution according to the work of the Gottman Institute. Scoring method: Four indicators assessed from 0 to 100:
  • Criticism: attacks on the other's character (vs. a specific complaint)
  • Contempt: sarcasm, mockery, verbal eye-rolling, superiority
  • Defensiveness: denial of responsibility, counter-attack, victimhood
  • Stonewalling: emotional withdrawal, refusal to communicate, punishing silence
Positive/negative ratio: Computation of the ratio of positive vs. negative interactions.
RatioInterpretation
>= 5:1Healthy relationship (Gottman threshold)
3:1 to 5:1Watch zone
< 3:1Alert zone (one horseman > 50)
< 1:1Critical zone (one horseman > 70)
Clinical interpretation: Gottman's research indicates that the simultaneous presence of these four behaviors predicts separation with roughly 93% accuracy over 6 years. Contempt is considered the most toxic predictor.

Model 4: Power dynamics (Pursuer / Distancer)

Theoretical reference: Johnson, S. M. (2008). Hold Me Tight: Seven Conversations for a Lifetime of Love. Little, Brown and Company. Fogarty, T. F. (1976). Marital crisis. In P. J. Guerin (Ed.), Family Therapy: Theory and Practice. Gardner Press. What it measures: The distribution of emotional and communicational power in the couple, measured through the pursuer/distancer dynamic. Scoring method:
  • Pursuer score (0-100): initiating contact, message urgency, demands for a reply, expressions of anxiety in the face of silence
  • Distancer score (0-100): response delays, short messages, topic changes, emotional avoidance
Imbalance levels:
GapClassification
0-15Balance
16-30Slight imbalance
31-50Imbalance
> 50Strong imbalance
Clinical interpretation: A pursuer/distancer imbalance is self-reinforcing: the more the pursuer insists, the more the distancer withdraws, which increases the pursuer's anxiety (Johnson, 2008). Identifying this dynamic is a key step in Emotionally Focused Couple Therapy (EFT).

Model 5: Attachment styles (Bowlby, Ainsworth, Bartholomew)

Theoretical references: Bowlby, J. (1969). Attachment and Loss, Vol. 1: Attachment. Basic Books. Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, S. (1978). Patterns of Attachment. Lawrence Erlbaum. Bartholomew, K., & Horowitz, L. M. (1991). Attachment Styles Among Young Adults: A Test of a Four-Category Model. Journal of Personality and Social Psychology, 61(2), 226-244. What it measures: Each participant's predominant attachment style, inferred from their conversational behaviors. Scoring method: Four dimensions assessed from 0 to 100 for each participant:
  • Secure: ability to express needs without anxiety, adequate response to the other's needs, autonomy/connection balance
  • Anxious: reassurance-seeking, hypervigilance to rejection signals, need for constant validation, disproportionate reactions to silence
  • Avoidant: valuing independence, discomfort with intimacy, factual messages, avoidance of emotional topics
  • Disorganized: contradictory behaviors (alternating approach/avoidance), emotional inconsistency, unpredictable reactions
Clinical interpretation: Attachment style is the best predictor of recurring relational patterns (Hazan & Shaver, 1987). The analysis identifies the dominant style and measures the compatibility of the two participants' styles.

Model 6: Cognitive distortions (Beck)

Theoretical reference: Beck, A. T. (1976). Cognitive Therapy and the Emotional Disorders. International Universities Press. Burns, D. D. (1980). Feeling Good: The New Mood Therapy. William Morrow. What it measures: The systematic information-processing errors present in each participant's discourse. Scoring method: 10+ types of distortions assessed from 0 to 100, with identification of illustrative excerpts:
DistortionDefinitionTypical conversational example
Mind readingPresuming to know the other's intentions"You say that but I know you think the opposite"
PersonalizationAttributing to oneself the cause of external events"If you're in a bad mood it's because of me"
OvergeneralizationDrawing a general rule from an isolated case"You NEVER make any effort"
CatastrophizingImagining the worst-case scenario"If you don't reply it means it's over"
Emotional reasoningConfusing emotion with reality"I feel it, so it's true"
Mental filterRetaining only the negativeIgnoring compliments, focusing on one remark
Dichotomous thinkingAll or nothing"Either you love me completely or you don't love me"
LabelingReducing the other to a single trait"You're a selfish person"
MinimizationDevaluing the positive"OK you did that, but it's normal"
Imperatives ("should")Imposing rigid norms"You should know what I need"
Clinical interpretation: The frequency and diversity of cognitive distortions are correlated with relational distress (Epstein & Baucom, 2002). Identifying them is a major therapeutic lever in couple CBT. For each distortion detected, 1 to 2 real excerpts from the conversation are provided.

Model 7: Young's Early Maladaptive Schemas (Premium)

Theoretical reference: Young, J. E., Klosko, J. S., & Weishaar, M. E. (2003). Schema Therapy: A Practitioner's Guide. Guilford Press. What it measures: The Early Maladaptive Schemas activated in the relational dynamic, assessed for each participant. Scoring method: 18 schemas assessed from 0 to 100, grouped into 5 domains: Domain 1 — Disconnection and rejection
  • Abandonment / instability
  • Mistrust / abuse
  • Emotional deprivation
  • Defectiveness / shame
  • Social isolation
Domain 2 — Impaired autonomy and performance
  • Dependence / incompetence
  • Vulnerability to harm
  • Enmeshment / undeveloped self
  • Failure
Domain 3 — Impaired limits
  • Entitlement / grandiosity
  • Insufficient self-control
Domain 4 — Other-directedness
  • Subjugation
  • Self-sacrifice
  • Approval-seeking
Domain 5 — Overvigilance and inhibition
  • Negativity / pessimism
  • Emotional inhibition
  • Unrelenting standards / hypercriticalness
  • Punitiveness
Clinical interpretation: Early maladaptive schemas are stable, self-perpetuating patterns that bias the interpretation of relational events (Young et al., 2003). Detecting them in textual exchanges helps identify the core schema themes that organize the couple's dynamic.

Model 8: Nonviolent Communication (Premium)

Theoretical reference: Rosenberg, M. B. (2003). Nonviolent Communication: A Language of Life. PuddleDancer Press. What it measures: Each participant's ability to communicate according to NVC's OFNR process (Observation, Feeling, Need, Request). Scoring method: Global score from 0 to 100 per participant, broken down into:
  • Observation capacity (vs. evaluation/judgment)
  • Expression of feelings (vs. interpretations)
  • Formulation of needs (explicit vs. implicit)
  • Formulation of requests (concrete vs. demands)
Clinical interpretation: Message excerpts are provided with an NVC / non-NVC analysis and proposed reformulations. NVC is widely used in couple mediation and relational therapy.

Model 9: DISC profile (Premium)

Theoretical reference: Marston, W. M. (1928). Emotions of Normal People. Kegan Paul. Adapted and modernized by J. Geier (1958) and Wiley's DiSC model. What it measures: Each participant's behavioral communication style along four axes. Scoring method: Four dimensions assessed from 0 to 100 per participant:
  • Dominance (D): direct, concise, results-oriented communication
  • Influence (I): expressive, enthusiastic, relational communication
  • Steadiness (S): patient, reliable, attentive communication
  • Conscientiousness (C): analytical, precise, factual communication
Clinical interpretation: DISC incompatibilities (e.g., high D + high S in the other) are sources of communicational friction. Identifying the profile helps adapt dialogue strategies.

Model 10: Karpman's Drama Triangle (Premium)

Theoretical reference: Karpman, S. B. (1968). Fairy Tales and Script Drama Analysis. Transactional Analysis Bulletin, 7(26), 39-43. What it measures: The three dysfunctional roles adopted in relational psychological games. Scoring method: Three roles assessed from 0 to 100 per participant:
  • Persecutor: blame, control, criticism, domination
  • Victim: complaint, helplessness, abdication of responsibility
  • Rescuer: overprotection, solving the other's problems, self-sacrifice
Clinical interpretation: The analysis also detects role shifts over time. The circularity of Karpman's games is a key concept in transactional analysis: the persecutor can become a victim, the victim can turn into a persecutor, and so on.

Model 11: The Johari Window (Premium)

Theoretical reference: Luft, J., & Ingham, H. (1955). The Johari Window: A Graphic Model of Interpersonal Awareness. Proceedings of the Western Training Laboratory in Group Development, UCLA. What it measures: Each participant's degree of openness and transparency in the relationship. Scoring method: Four zones assessed from 0 to 100 per participant:
  • Open area: what is known to oneself and to the other (sharing, transparency)
  • Blind area: what the other perceives but the subject is unaware of (unconscious patterns)
  • Hidden area: what the subject keeps to themselves (secrets, restraint)
  • Unknown area: what escapes both (unexplored potential)
Clinical interpretation: A large open area is associated with better relational satisfaction. The analysis identifies the degree of reciprocity in self-disclosure.

Model 12: Schutz's FIRO (Premium)

Theoretical reference: Schutz, W. (1958). FIRO: A Three-Dimensional Theory of Interpersonal Behavior. Holt, Rinehart & Winston. What it measures: The three fundamental interpersonal needs, in their expressed and wanted dimensions. Scoring method: 6 scores from 0 to 100 per participant (3 needs x 2 dimensions):
NeedExpressedWanted
InclusionTendency to include the otherNeed to be included
ControlTendency to leadNeed to be guided
AffectionTendency to express affectionNeed to receive affection
Clinical interpretation: The gap between expressed and wanted scores reveals unverbalized interpersonal frustrations. A large gap on the affection axis (strong wanted need, weak expression from the other) is an indicator of emotional deprivation.

Model 13: Polyvagal Theory (Premium)

Theoretical reference: Porges, S. W. (2011). The Polyvagal Theory: Neurophysiological Foundations of Emotions, Attachment, Communication, and Self-Regulation. W. W. Norton. What it measures: The state of the autonomic nervous system inferred from the communication style, according to the three branches of the vagus nerve. Scoring method: Three states assessed from 0 to 100 per participant:
  • Ventral vagal: safety, connection, calm, social engagement (open communication, humor, empathy)
  • Sympathetic: fight/flight mode, defensiveness, irritability, hyperreactivity (aggressive messages, urgency, anxiety)
  • Dorsal vagal: freeze mode, withdrawal, disconnection (monosyllabic messages, long silences, apathy)
Clinical interpretation: Polyvagal theory offers a neurobiological framework for understanding withdrawal or aggression reactions in the couple. A participant in a prolonged dorsal state requires a different therapeutic approach from one in sympathetic activation.

Model 14: Violence detection (Premium)

This model breaks down into two complementary sub-models, activated conditionally.

14a. Walker's Cycle of Violence

Theoretical reference: Walker, L. E. (1979). The Battered Woman. Harper & Row. Walker, L. E. (2009). The Battered Woman Syndrome (3rd ed.). Springer Publishing. Trigger: Activated if the global toxicity score > 60, or if more than 3 affective drops or ghosting episodes are detected. What it measures: The presence and phases of the cycle of domestic violence. Scoring method: Identification of the 4 phases with dating:

1. Tension phase: stress build-up, growing irritability

2. Explosion phase: acting out (verbal in the textual context)

3. Reconciliation phase: apologies, promises of change

4. Honeymoon phase: return to affection, idealization

14b. Power and Control Wheel (Duluth)

Theoretical reference: Pence, E., & Paymar, M. (1993). Education Groups for Men Who Batter: The Duluth Model. Springer Publishing. Trigger: Activated if the toxicity score > 50. What it measures: The 8 power-and-control mechanisms identified by the Duluth model. Scoring method: Eight indicators assessed from 0 to 100:
  • Intimidation
  • Isolation
  • Minimizing / denial / blame
  • Using children
  • Male/female privilege
  • Economic control
  • Threats
  • Emotional abuse
Clinical interpretation: These two models are activated conditionally to avoid false positives in healthy relationships. When activated, a safety banner with emergency numbers (in France: 3114 — suicide prevention, 3919 — domestic violence, 114 — emergencies by SMS) is displayed prominently.

4. Synthesis and insight generation (Outputs)

4.1 Composite dimensions

The individual scores of the 14 models are aggregated into composite dimensions that offer a synthetic view of the relationship.

Standard level (5 dimensions):
DimensionContributing models
AffectionSternberg (intimacy, passion), Chapman (languages), FIRO (affection)
CommunicationGottman (ratio), NVC, DISC, power dynamics
ConflictGottman (4 horsemen), Karpman, cognitive distortions
CommitmentSternberg (commitment), shared plans, prospective discourse
BalancePower dynamics, attachment, reciprocity of exchanges
Premium level (additional dimensions):
DimensionContributing models
TrustAttachment, Young (mistrust/abuse), Johari (open area)
IntimacySternberg, Johari, FIRO (inclusion/affection), self-disclosure
RespectGottman (absence of contempt), Duluth, power balance
HumorDetection of lightness, wordplay, playful emojis
ProjectionFuture orientation, planning, explicit commitment

4.2 Global score and levels

The global score is computed as the arithmetic mean of all dimensions.

Global scoreInterpretation
>= 70 / 100Positive relationship
40 - 69 / 100Relationship under tension
< 40 / 100Relationship in difficulty

4.3 Relational prognosis

The prognosis is generated from all indicators and includes:

  • A score from 0 to 100
  • A qualitative label: Positive, Mixed, Concerning or Critical
  • 3 to 5 identified protective factors (the couple's strengths)
  • 3 to 5 identified risk factors (alerts)

4.4 Therapeutic action plan (Premium)

The Premium report includes an action plan structured in 3 phases, each containing 2 to 3 concrete exercises with title, description and recommended frequency.


5. Methodological limitations

5.1 What the analysis CANNOT do

1. Make a clinical diagnosis. ScanMyLove is not a diagnostic tool in the sense of the DSM-5 or ICD-11. It cannot diagnose a personality disorder, depression, an anxiety disorder or any other pathology.

2. Substitute for a mental health professional. Computational text analysis does not replace clinical observation, face-to-face interviews, standardized psychometric tests and the clinician's expertise.

3. Analyze non-verbal communication. Paralanguage (tone, pace, volume), facial expressions, body language and the physical context of the exchanges inherently escape textual analysis.

4. Assess the sincerity of the discourse. The analysis concerns what is written, not what is thought. A participant may use affectionate language out of manipulation or social convention.

5. Capture off-text exchanges. Face-to-face conversations, phone calls and non-digital interactions are not taken into account. The analysis concerns a potentially unrepresentative sample of the couple's total communication.

5.2 Identified biases

BiasDescriptionMitigation
Sampling biasThe analyzed conversation may not be representative of the relationshipExplicit mention in the report
Social desirability biasWritten exchanges may be more "filtered" than oral communicationTaken into account in interpretation
Cultural biasThe affective-marker dictionaries are calibrated on metropolitan FrenchProgressive extension to other variants
Recency biasOverrepresentation of recent messages (50% of the token budget)Deliberate choice, as the current state is clinically the most relevant
Length biasShort conversations produce less reliable analysesAutomatic warning below a message threshold
Platform biasWriting style varies by platform (SMS vs. email)Platform detection and contextual adjustment
Model-interpretation biasLanguage models may hallucinate or over-interpretStructured prompts with strict JSON schemas and caution instructions

5.3 Ethical positioning

  • The tool makes no moral judgment about the participants.
  • Results are presented as working hypotheses, not certainties.
  • The violence-detection system automatically displays emergency numbers (in France: 3114, 3919, 114).
  • No data is retained after the analysis: zero sign-up, zero storage, full GDPR compliance.
  • Conversations are never re-read, shared or used for training models.

6. Scientific references

Attachment theory

  • Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, S. (1978). Patterns of Attachment: A Psychological Study of the Strange Situation. Lawrence Erlbaum Associates.
  • Bartholomew, K., & Horowitz, L. M. (1991). Attachment Styles Among Young Adults: A Test of a Four-Category Model. Journal of Personality and Social Psychology, 61(2), 226-244.
  • Bowlby, J. (1969). Attachment and Loss, Vol. 1: Attachment. Basic Books.
  • Bowlby, J. (1973). Attachment and Loss, Vol. 2: Separation. Basic Books.
  • Hazan, C., & Shaver, P. (1987). Romantic Love Conceptualized as an Attachment Process. Journal of Personality and Social Psychology, 52(3), 511-524.

Couple research (Gottman)

  • Gottman, J. M. (1994). What Predicts Divorce? The Relationship Between Marital Processes and Marital Outcomes. Lawrence Erlbaum Associates.
  • Gottman, J. M., & Silver, N. (1999). The Seven Principles for Making Marriage Work. Three Rivers Press.
  • Gottman, J. M., Coan, J., Carrere, S., & Swanson, C. (1998). Predicting Marital Happiness and Stability from Newlywed Interactions. Journal of Marriage and the Family, 60(1), 5-22.

Triangular theory of love

  • Sternberg, R. J. (1986). A Triangular Theory of Love. Psychological Review, 93(2), 119-135.
  • Sternberg, R. J. (1997). Construct Validation of a Triangular Love Scale. European Journal of Social Psychology, 27(3), 313-335.

Love languages

  • Chapman, G. (1992). The Five Love Languages: How to Express Heartfelt Commitment to Your Mate. Northfield Publishing.

Schema therapy

  • Young, J. E. (1990). Cognitive Therapy for Personality Disorders: A Schema-Focused Approach. Professional Resource Press.
  • Young, J. E., Klosko, J. S., & Weishaar, M. E. (2003). Schema Therapy: A Practitioner's Guide. Guilford Press.

Cognitive therapy and distortions

  • Beck, A. T. (1976). Cognitive Therapy and the Emotional Disorders. International Universities Press.
  • Beck, A. T. (1988). Love Is Never Enough: How Couples Can Overcome Misunderstandings. Harper & Row.
  • Burns, D. D. (1980). Feeling Good: The New Mood Therapy. William Morrow.
  • Epstein, N. B., & Baucom, D. H. (2002). Enhanced Cognitive-Behavioral Therapy for Couples. American Psychological Association.

Nonviolent Communication

  • Rosenberg, M. B. (2003). Nonviolent Communication: A Language of Life (2nd ed.). PuddleDancer Press.

DISC model

  • Marston, W. M. (1928). Emotions of Normal People. Kegan Paul, Trench, Trubner & Co.

Transactional analysis and Karpman's triangle

  • Berne, E. (1964). Games People Play: The Psychology of Human Relationships. Grove Press.
  • Karpman, S. B. (1968). Fairy Tales and Script Drama Analysis. Transactional Analysis Bulletin, 7(26), 39-43.

Johari Window

  • Luft, J., & Ingham, H. (1955). The Johari Window: A Graphic Model of Interpersonal Awareness. Proceedings of the Western Training Laboratory in Group Development, UCLA.
  • Luft, J. (1969). Of Human Interaction. National Press Books.

FIRO

  • Schutz, W. (1958). FIRO: A Three-Dimensional Theory of Interpersonal Behavior. Holt, Rinehart & Winston.
  • Schutz, W. (1992). Beyond FIRO-B: Three New Theory-Derived Measures. Psychological Reports, 70(3), 915-937.

Polyvagal theory

  • Porges, S. W. (2011). The Polyvagal Theory: Neurophysiological Foundations of Emotions, Attachment, Communication, and Self-Regulation. W. W. Norton.
  • Dana, D. (2018). The Polyvagal Theory in Therapy: Engaging the Rhythm of Regulation. W. W. Norton.

Domestic violence

  • Walker, L. E. (1979). The Battered Woman. Harper & Row.
  • Walker, L. E. (2009). The Battered Woman Syndrome (3rd ed.). Springer Publishing.
  • Pence, E., & Paymar, M. (1993). Education Groups for Men Who Batter: The Duluth Model. Springer Publishing.

Emotionally Focused Couple Therapy

  • Johnson, S. M. (2004). The Practice of Emotionally Focused Couple Therapy: Creating Connection (2nd ed.). Brunner-Routledge.
  • Johnson, S. M. (2008). Hold Me Tight: Seven Conversations for a Lifetime of Love. Little, Brown and Company.

Pursuer-distancer dynamics

  • Fogarty, T. F. (1976). Marital crisis. In P. J. Guerin (Ed.), Family Therapy: Theory and Practice. Gardner Press.

Appendix: Summary of models and analysis levels

#ModelPrimary referenceLevelScores
1Triangular Theory of LoveSternberg (1986)Standard3 x (0-100)
25 Love LanguagesChapman (1992)Standard5 x (0-100) / participant
3Gottman's 4 HorsemenGottman (1994)Standard4 x (0-100) + ratio
4Power dynamicsJohnson (2008), Fogarty (1976)Standard2 x (0-100) + balance
5Attachment stylesBowlby (1969), Bartholomew (1991)Standard4 x (0-100) / participant
6Cognitive distortionsBeck (1976), Burns (1980)Standard10+ x (0-100) + excerpts
7Young's schemasYoung et al. (2003)Premium18 x (0-100) / participant
8Nonviolent CommunicationRosenberg (2003)Premium1 x (0-100) / participant
9DISC profileMarston (1928)Premium4 x (0-100) / participant
10Karpman's triangleKarpman (1968)Premium3 x (0-100) / participant
11Johari WindowLuft & Ingham (1955)Premium4 x (0-100) / participant
12Schutz's FIROSchutz (1958)Premium6 x (0-100) / participant
13Polyvagal theoryPorges (2011)Premium3 x (0-100) / participant
14Violence detectionWalker (1979), Pence & Paymar (1993)Premium4 phases + 8 x (0-100)

Document produced from analysis of the ScanMyLove v5.0 source code. This document is intended for mental health professionals evaluating the credibility and methodological rigor of the tool. For any question or collaboration, contact contact@psychologieetserenite.com.

Professional contact: contact@psychologieetserenite.com

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Technical documentation for professionals - ScanMyLove