Technical document for mental health professionals
Version: 5.0 Date: February 2026 Publisher: Psychologie et Sérénité Contact: contact@psychologieetserenite.comTable 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
| Source | Format | Extraction method |
|---|---|---|
| Text export (.txt, .zip) | FR/EN temporal regex (iOS/Android) | |
| Messenger | Facebook JSON export | Structured JSON parsing |
| JSON export | Structured JSON parsing | |
| Telegram | HTML/JSON export | Multi-format parsing |
| SMS | Text export | Heuristic detection |
| Plain text | Generic parsing | |
| Screenshots | PNG, JPG, WEBP, HEIC | OCR 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
| Metric | Definition | Unit |
|---|---|---|
| Number of messages | Total messages sent | Integer |
| Number of words | Total words emitted | Integer |
| Average length per message | Words/messages ratio | Words/message |
| Longest message | Message with the highest word count | Words |
Linguistic and emotional richness
| Metric | Definition | Computation method |
|---|---|---|
| Emoji density | Total number of emojis used | Unicode counting |
| Top 20 emojis | Most frequent emojis per participant | Descending frequency |
| Number of questions | Messages containing "?" | Punctuation detection |
| Number of exclamations | Messages containing "!" | Punctuation detection |
| Multimedia content | Messages containing images, audio, video | Tag detection |
| Top 30 words | Most frequent words (excluding 150+ stopwords) | Frequency after filtering |
| Top expressions | Recurring bigrams and trigrams | N-gram analysis |
Temporality and responsiveness
| Metric | Definition | Processing |
|---|---|---|
| Average response time | Mean delay between received message and reply | Arithmetic mean, filtering >24h |
| Median response time | Median value of delays | Median, more robust to outliers |
| Hourly distribution | Message distribution across 24 hours | Histogram 0-23h |
| Weekly distribution | Distribution across 7 days | Sunday to Saturday |
| Activity heatmap | 7 days x 24 hours matrix | Message density per time slot |
| Longest active streak | Maximum number of consecutive days with exchange | Streak counting |
Dynamics indicators
| Metric | Definition |
|---|---|
| Exchange initiator | Identification of who sends the first message of each daily conversation |
| Global first message | Author of the very first message of the corpus |
| Global last message | Author of the most recent message |
| Total conversation duration | Number 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
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
| Event | Detection criterion | Severity |
|---|---|---|
| Affective drop | Affective ratio decline >30% (medium) or >60% (high) over 14 days | Medium / High |
| Ghosting | Silence of 3-6 days (medium) or 7+ days (high) after 5+ active days | Medium / High |
| Communication withdrawal | Weekly volume decline >60% (medium) or >80% (high) | Medium / High |
| Acute conflict | Spike of negative markers >3x the daily average | Medium / High |
| Composite breakup | Co-occurrence of an affective drop and ghosting within a 14-day window | Always 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:| Level | Groups | Models covered | Average duration |
|---|---|---|---|
| Standard (€9.90) | 5 parallel groups | 7 models | ~22 seconds |
| Premium (€19.90) | 9 parallel groups | 14 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")
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
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
| Ratio | Interpretation |
|---|---|
| >= 5:1 | Healthy relationship (Gottman threshold) |
| 3:1 to 5:1 | Watch zone |
| < 3:1 | Alert zone (one horseman > 50) |
| < 1:1 | Critical zone (one horseman > 70) |
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
| Gap | Classification |
|---|---|
| 0-15 | Balance |
| 16-30 | Slight imbalance |
| 31-50 | Imbalance |
| > 50 | Strong imbalance |
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
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:| Distortion | Definition | Typical conversational example |
|---|---|---|
| Mind reading | Presuming to know the other's intentions | "You say that but I know you think the opposite" |
| Personalization | Attributing to oneself the cause of external events | "If you're in a bad mood it's because of me" |
| Overgeneralization | Drawing a general rule from an isolated case | "You NEVER make any effort" |
| Catastrophizing | Imagining the worst-case scenario | "If you don't reply it means it's over" |
| Emotional reasoning | Confusing emotion with reality | "I feel it, so it's true" |
| Mental filter | Retaining only the negative | Ignoring compliments, focusing on one remark |
| Dichotomous thinking | All or nothing | "Either you love me completely or you don't love me" |
| Labeling | Reducing the other to a single trait | "You're a selfish person" |
| Minimization | Devaluing the positive | "OK you did that, but it's normal" |
| Imperatives ("should") | Imposing rigid norms | "You should know what I need" |
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
- Dependence / incompetence
- Vulnerability to harm
- Enmeshment / undeveloped self
- Failure
- Entitlement / grandiosity
- Insufficient self-control
- Subjugation
- Self-sacrifice
- Approval-seeking
- Negativity / pessimism
- Emotional inhibition
- Unrelenting standards / hypercriticalness
- Punitiveness
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)
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
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
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)
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):| Need | Expressed | Wanted |
|---|---|---|
| Inclusion | Tendency to include the other | Need to be included |
| Control | Tendency to lead | Need to be guided |
| Affection | Tendency to express affection | Need to receive affection |
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)
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
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):| Dimension | Contributing models |
|---|---|
| Affection | Sternberg (intimacy, passion), Chapman (languages), FIRO (affection) |
| Communication | Gottman (ratio), NVC, DISC, power dynamics |
| Conflict | Gottman (4 horsemen), Karpman, cognitive distortions |
| Commitment | Sternberg (commitment), shared plans, prospective discourse |
| Balance | Power dynamics, attachment, reciprocity of exchanges |
| Dimension | Contributing models |
|---|---|
| Trust | Attachment, Young (mistrust/abuse), Johari (open area) |
| Intimacy | Sternberg, Johari, FIRO (inclusion/affection), self-disclosure |
| Respect | Gottman (absence of contempt), Duluth, power balance |
| Humor | Detection of lightness, wordplay, playful emojis |
| Projection | Future orientation, planning, explicit commitment |
4.2 Global score and levels
The global score is computed as the arithmetic mean of all dimensions.
| Global score | Interpretation |
|---|---|
| >= 70 / 100 | Positive relationship |
| 40 - 69 / 100 | Relationship under tension |
| < 40 / 100 | Relationship 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
| Bias | Description | Mitigation |
|---|---|---|
| Sampling bias | The analyzed conversation may not be representative of the relationship | Explicit mention in the report |
| Social desirability bias | Written exchanges may be more "filtered" than oral communication | Taken into account in interpretation |
| Cultural bias | The affective-marker dictionaries are calibrated on metropolitan French | Progressive extension to other variants |
| Recency bias | Overrepresentation of recent messages (50% of the token budget) | Deliberate choice, as the current state is clinically the most relevant |
| Length bias | Short conversations produce less reliable analyses | Automatic warning below a message threshold |
| Platform bias | Writing style varies by platform (SMS vs. email) | Platform detection and contextual adjustment |
| Model-interpretation bias | Language models may hallucinate or over-interpret | Structured 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
| # | Model | Primary reference | Level | Scores |
|---|---|---|---|---|
| 1 | Triangular Theory of Love | Sternberg (1986) | Standard | 3 x (0-100) |
| 2 | 5 Love Languages | Chapman (1992) | Standard | 5 x (0-100) / participant |
| 3 | Gottman's 4 Horsemen | Gottman (1994) | Standard | 4 x (0-100) + ratio |
| 4 | Power dynamics | Johnson (2008), Fogarty (1976) | Standard | 2 x (0-100) + balance |
| 5 | Attachment styles | Bowlby (1969), Bartholomew (1991) | Standard | 4 x (0-100) / participant |
| 6 | Cognitive distortions | Beck (1976), Burns (1980) | Standard | 10+ x (0-100) + excerpts |
| 7 | Young's schemas | Young et al. (2003) | Premium | 18 x (0-100) / participant |
| 8 | Nonviolent Communication | Rosenberg (2003) | Premium | 1 x (0-100) / participant |
| 9 | DISC profile | Marston (1928) | Premium | 4 x (0-100) / participant |
| 10 | Karpman's triangle | Karpman (1968) | Premium | 3 x (0-100) / participant |
| 11 | Johari Window | Luft & Ingham (1955) | Premium | 4 x (0-100) / participant |
| 12 | Schutz's FIRO | Schutz (1958) | Premium | 6 x (0-100) / participant |
| 13 | Polyvagal theory | Porges (2011) | Premium | 3 x (0-100) / participant |
| 14 | Violence detection | Walker (1979), Pence & Paymar (1993) | Premium | 4 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.